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Spectral stability of noncharacteristic isentropic Navier–Stokes boundary layers

Nicola Costanzino, Jeffrey Humpherys,
Toan Nguyen, and Kevin Zumbrun
Department of Mathematics, Pennsylvania State University, University Park, PA, 16802 costanzi@math.psu.edu Department of Mathematics, Brigham Young University, Provo, UT 84602 jeffh@math.byu.edu Department of Mathematics, Indiana University, Bloomington, IN 47402 nguyentt@indiana.edu Department of Mathematics, Indiana University, Bloomington, IN 47402 kzumbrun@indiana.edu
(Date: Last Updated: June 22, 2007)
Abstract.

Building on work of Barker, Humpherys, Lafitte, Rudd, and Zumbrun in the shock wave case, we study stability of compressive, or “shock-like”, boundary layers of the isentropic compressible Navier–Stokes equations with γ\gamma-law pressure by a combination of asymptotic ODE estimates and numerical Evans function computations. Our results indicate stability for γ[1,3]\gamma\in[1,3] for all compressive boundary-layers, independent of amplitude, save for inflow layers in the characteristic limit (not treated). Expansive inflow boundary-layers have been shown to be stable for all amplitudes by Matsumura and Nishihara using energy estimates. Besides the parameter of amplitude appearing in the shock case, the boundary-layer case features an additional parameter measuring displacement of the background profile, which greatly complicates the resulting case structure. Moreover, inflow boundary layers turn out to have quite delicate stability in both large-displacement and large-amplitude limits, necessitating the additional use of a mod-two stability index studied earlier by Serre and Zumbrun in order to decide stability.

This work was supported in part by the National Science Foundation award numbers DMS-0607721 and DMS-0300487.

1. Introduction

Consider the isentropic compressible Navier-Stokes equations

(1) ρt+(ρu)x=0,(ρu)t+(ρu2)x+p(ρ)x=uxx\begin{split}\rho_{t}+(\rho u)_{x}&=0,\\ (\rho u)_{t}+(\rho u^{2})_{x}+p(\rho)_{x}&=u_{xx}\end{split}

on the quarter-plane x,t0x,t\geq 0, where ρ>0\rho>0, uu, pp denote density, velocity, and pressure at spatial location xx and time tt, with γ\gamma-law pressure function

(2) p(ρ)=a0ργ,a0>0,γ1,p(\rho)=a_{0}\rho^{\gamma},\qquad a_{0}>0,\,\gamma\geq 1,

and noncharacteristic constant “inflow” or “outflow” boundary conditions

(3) (ρ,u)(0,t)(ρ0,u0),u0>0(\rho,u)(0,t)\equiv(\rho_{0},u_{0}),\qquad u_{0}>0

or

(4) u(0,t)u0u0<0u(0,t)\equiv u_{0}\qquad u_{0}<0

as discussed in [25, 10, 9]. The sign of the velocity at x=0x=0 determines whether characteristics of the hyperbolic transport equation ρt+uρx=f\rho_{t}+u\rho_{x}=f enter the domain (considering f:=ρuxf:=\rho u_{x} as a lower-order forcing term), and thus whether ρ(0,t)\rho(0,t) should be prescribed. The variable-coefficient parabolic equation ρutuxx=g\rho u_{t}-u_{xx}=g requires prescription of u(0,t)u(0,t) in either case, with g:=ρ(u2/2)xp(ρ)xg:=-\rho(u^{2}/2)_{x}-p(\rho)_{x}.

By comparison, the purely hyperbolic isentropic Euler equations

(5) ρt+(ρu)x=0,(ρu)t+(ρu2)x+p(ρ)x=0\begin{split}\rho_{t}+(\rho u)_{x}&=0,\\ (\rho u)_{t}+(\rho u^{2})_{x}+p(\rho)_{x}&=0\end{split}

have characteristic speeds a=u±p(ρ)a=u\pm\sqrt{p^{\prime}(\rho)}, hence, depending on the values of (ρ,u)(0,t)(\rho,u)(0,t), may have one, two, or no characteristics entering the domain, hence require one, two, or no prescribed boundary values. In particular, there is a discrepancy between the number of prescribed boundary values for (1) and (5) in the case of mild inflow u0>0u_{0}>0 small (two for (1), one for (5)) or strong outflow u0<0u_{0}<0 large (one for (1), none for (5)), indicating the possibility of boundary layers, or asymptotically-constant stationary solutions of (1):

(6) (ρ,u)(x,t)(ρ^,u^)(x),limz+(ρ^,u^)(z)=(ρ+,u+).(\rho,u)(x,t)\equiv(\hat{\rho},\hat{u})(x),\qquad\lim_{z\to+\infty}(\hat{\rho},\hat{u})(z)=(\rho_{+},u_{+}).

Indeed, existence of such solutions is straightforward to verify by direct computations on the (scalar) stationary-wave ODE; see [20, 25, 19, 16, 10, 9] or Section 2.3. These may be either of “expansive” type, resembling rarefaction wave solutions on the whole line, or “compressive” type, resembling viscous shock solutions.

A fundamental question is whether or not such boundary layer solutions are stable in the sense of PDE. For the expansive inflow case, it has been shown in [19] that all boundary layers are stable, independent of amplitude, by energy estimates similar to those used to prove the corresponding result for rarefactions on the whole line. Here, we concentrate on the complementary, compressive case (though see discussion, Section 1.1).

Linearized and nonlinear stability of general (expansive or compressive) small-amplitude noncharacteristic boundary layers of (1) have been established in [19, 23, 16, 10]. More generally, it has been shown in [10, 26] that linearized and nonlinear stability are equivalent to spectral stability, or nonexistence of nonstable (nonnegative real part) eigenvalues of the linearized operator about the layer, for boundary layers of arbitrary amplitude. However, up to now the spectral stability of large-amplitude compressive boundary layers has remained largely undetermined.111 See, however, the investigations of [25] on stability index, or parity of the number of nonstable eigenvalues of the linearized operator about the layer.

We resolve this question in the present paper, carrying out a systematic, global study classifying the stability of all possible compressive boundary-layer solutions of (1). Our method of analysis is by a combination of asymptotic ODE techniques and numerical Evans function computations, following a basic approach introduced recently in [12, 3] for the study of the closely related shock wave case. Here, there are interesting complications associated with the richer class of boundary-layer solutions as compared to possible shock solutions, the delicate stability properties of the inflow case, and, in the outflow case, the nonstandard eigenvalue problem arising from reduction to Lagrangian coordinates.

Our conclusions are, for both inflow and outflow conditions, that compressive boundary layers that are uniformly noncharacteristic in a sense to be made precise later (specifically, v+v_{+} bounded away from 11, in the terminology of Section 2.3) are unconditionally stable, independent of amplitude, on the range γ[1,3]\gamma\in[1,3] considered in our numerical computations. We show by energy estimates that outflow boundary layers are stable also in the characteristic limit. The omitted characteristic limit in the inflow case, analogous to the small-amplitude limit for the shock case should be treatable by the singular perturbation methods used in [22, 7] to treat the small-amplitude shock case; however, we do not consider this case here.

In the inflow case, our results, together with those of [19], completely resolve the question of stability of isentropic (expansive or compressive) uniformly noncharacteristic boundary layers for γ[1,3]\gamma\in[1,3], yielding unconditional stability independent of amplitude or type. In the outflow case, we show stability of all compressive boundary layers without the assumption of uniform noncharacteristicity.

1.1. Discussion and open problems

The small-amplitude results obtained in [19, 16, 23, 10] are of “general type”, making little use of the specific structure of the equations. Essentially, they all require that the difference between the boundary layer solution and its constant limit at |x|=|x|=\infty be small in L1L^{1}.222Alternatively, as in [19, 23], the essentially equivalent condition that xv^(x)x\hat{v}^{\prime}(x) be small in L1L^{1}. (For monotone profiles, 0+|v^v+|𝑑x=±0+(v^v+)𝑑x=0+xv^𝑑x\int_{0}^{+\infty}|\hat{v}-v_{+}|dx=\pm\int_{0}^{+\infty}(\hat{v}-v_{+})dx=\mp\int_{0}^{+\infty}x\hat{v}^{\prime}dx.) As pointed out in [10], this is the “gap lemma” regime in which standard asymptotic ODE estimates show that behavior is essentially governed by the limiting constant-coefficient equations at infinity, and thus stability may be concluded immediately from stability (computable by exact solution) of the constant layer identically equal to the limiting state. These methods do not suffice to treat either the (small-amplitude) characteristic limit or the large-amplitude case, which require more refined analyses. In particular, up to now, there was no analysis considering boundary layers approaching a full viscous shock profile, not even a profile of vanishingly small amplitude. Our analysis of this limit indicates why: the appearance of a small eigenvalue near zero prevents uniform estimates such as would be obtained by usual types of energy estimates.

By contrast, the large-amplitude results obtained here and (for expansive layers) in [19] make use of the specific form of the equations. In particular, both analyses make use of the advantageous structure in Lagrangian coordinates. The possibility to work in Lagrangian coordinates was first pointed out by Matsumura–Nishihara [19] in the inflow case, for which the stationary boundary transforms to a moving boundary with constant speed. Here we show how to convert the outflow problem also to Lagrangian coordinates, by converting the resulting variable-speed boundary problem to a constant-speed one with modified boundary condition. This trick seems of general use. In particular, it might be possible that the energy methods of [19] applied in this framework would yield unconditional stability of expansive boundary-layers, completing the analysis of the outflow case. Alternatively, this case could be attacked by the methods of the present paper. These are two further interesting direction for future investigation.

In the outflow case, a further transformation to the “balanced flux form” introduced in [22], in which the equations take the form of the integrated shock equations, allows us to establish stability in the characteristic limit by energy estimates like those of [18] in the shock case. The treatment of the characteristic inflow limit by the methods of [22, 7] seems to be another extremely interesting direction for future study.

Finally, we point to the extension of the present methods to full (nonisentropic) gas dynamics and multidimensions as the two outstanding open problems in this area.

New features of the present analysis as compared to the shock case considered in [3, 12] are the presence of two parameters, strength and displacement, indexing possible boundary layers, vs. the single parameter of strength in the shock case, and the fact that the limiting equations in several asymptotic regimes possess zero eigenvalues, making the limiting stability analysis much more delicate than in the shock case. The latter is seen, for example, in the limit as a compressive boundary layer approaches a full stationary shock solution, which we show to be spectrally equivalent to the situation of unintegrated shock equations on the whole line. As the equations on the line possess always a translational eigenvalue at λ=0\lambda=0, we may conclude existence of a zero at λ=0\lambda=0 for the limiting equations and thus a zero near λ=0\lambda=0 as we approach this limit, which could be stable or unstable. Similarly, the Evans function in the inflow case is shown to converge in the large-strength limit to a function with a zero at λ=0\lambda=0, with the same conclusions; see Section 3 for further details.

To deal with this latter circumstance, we find it necessary to make use also of topological information provided by the stability index of [21, 8, 25], a mod-two index counting the parity of the number of unstable eigenvalues. Together with the information that there is at most one unstable zero, the parity information provided by the stability index is sufficient to determine whether an unstable zero does or does not occur. Remarkably, in the isentropic case we are able to compute explicitly the stability index for all parameter values, recovering results obtained by indirect argument in [25], and thereby completing the stability analysis in the presence of a single possibly unstable zero.

2. Preliminaries

We begin by carrying out a number of preliminary steps similar to those carried out in [3, 12] for the shock case, but complicated somewhat by the need to treat the boundary and its different conditions in the inflow and outflow case.

2.1. Lagrangian formulation.

The analyses of [12, 3] in the shock wave case were carried out in Lagrangian coordinates, which proved to be particularly convenient. Our first step, therefore, is to convert the Eulerian formulation (1) into Lagrangian coordinates similar to those of the shock case. However, standard Lagrangian coordinates in which the spatial variable x~\tilde{x} is constant on particle paths are not appropriate for the boundary-value problem with inflow/outflow. We therefore introduce instead “psuedo-Lagrangian” coordinates

(7) x~:=0xρ(y,t)𝑑y,t~:=t,\tilde{x}:=\int_{0}^{x}\rho(y,t)\,dy,\quad\tilde{t}:=t,

in which the physical boundary x=0x=0 remains fixed at x~=0\tilde{x}=0.

Straightforward calculation reveals that in these coordinates (1) becomes

(8) vtsvx~ux~\displaystyle v_{t}-sv_{\tilde{x}}-u_{\tilde{x}} =σ(t)vx~\displaystyle=\sigma(t)v_{\tilde{x}}
utsux~+p(v)x~(ux~v)x~\displaystyle u_{t}-su_{\tilde{x}}+p(v)_{\tilde{x}}-\left(\frac{u_{\tilde{x}}}{v}\right)_{\tilde{x}} =σ(t)ux~\displaystyle=\sigma(t)u_{\tilde{x}}

on x>0x>0, where

(9) s=u0v0,σ(t)=m(t)s,m(t):=ρ(0,t)u(0,t)=u(0,t)/v(0,t),s=-\frac{u_{0}}{v_{0}},\;\sigma(t)=m(t)-s,\;m(t):=-\rho(0,t)u(0,t)=-u(0,t)/v(0,t),

so that m(t)m(t) is the negative of the momentum at the boundary x=x~=0x=\tilde{x}=0. From now on, we drop the tilde, denoting x~\tilde{x} simply as xx.

2.1.1. Inflow case

For the inflow case, u0>0u_{0}>0 so we may prescribe two boundary conditions on (8), namely

(10) v|x=0=v0>0,u|x=0=u0>0v|_{x=0}=v_{0}>0,\hskip 14.22636ptu|_{x=0}=u_{0}>0

where both u0,v0u_{0},v_{0} are constant.

2.1.2. Outflow case

For the outflow case, u0<0u_{0}<0 so we may prescribe only one boundary condition on (8), namely

(11) u|x=0=u0<0.u|_{x=0}=u_{0}<0.

Thus v(0,t)v(0,t) is an unknown in the problem, which makes the analysis of the outflow case more subtle than that of the inflow case.

2.2. Rescaled coordinates

Our next step is to rescale the equations in such a way that coefficients remain bounded in the strong boundary-layer limit. Consider the change of variables

(12) (x,t,v,u)(εsx,εs2t,v/ε,u/(εs)),(x,t,v,u)\rightarrow(-\varepsilon sx,\varepsilon s^{2}t,v/\varepsilon,-u/(\varepsilon s)),

where ε\varepsilon is chosen so that

(13) 0<v+<v=1,0<v_{+}<v_{-}=1,

where v+v_{+} is the limit as x+x\to+\infty of the boundary layer (stationary solution) (v^,u^)(\hat{v},\hat{u}) under consideration and vv_{-} is the limit as xx\to-\infty of its continuation into x<0x<0 as a solution of the standing-wave ODE (discussed in more detail just below). Under the rescaling (12), (8) becomes

(14) vt+vxux\displaystyle v_{t}+v_{x}-u_{x} =σ(t)vx,\displaystyle=\sigma(t)v_{x},
ut+ux+(avγ)x\displaystyle u_{t}+u_{x}+(av^{-\gamma})_{x} =σ(t)ux+(uxv)x\displaystyle=\sigma(t)u_{x}+\left(\frac{u_{x}}{v}\right)_{x}

where a=a0εγ1s2a=a_{0}\varepsilon^{-\gamma-1}s^{-2}, σ=u(0,t)/v(0,t)+1\sigma=-u(0,t)/v(0,t)+1, on respective domains

x>0(inflow case)x<0(outflow case).x>0\,\hbox{\rm(inflow case)}\qquad x<0\,\hbox{\rm(outflow case)}.

2.3. Stationary boundary layers

Stationary boundary layers

(v,u)(x,t)=(v^,u^)(x)(v,u)(x,t)=(\hat{v},\hat{u})(x)

of (14) satisfy

(15) (a)v^u^=0(b)u^+(av^γ)=(u^v^)(c)(v^,u^)|x=0=(v0,u0)(d)limx±(v^,u^)=(v,u)±,\begin{split}(a)\hskip 14.22636pt&\hat{v}^{\prime}-\hat{u}^{\prime}=0\\ (b)\hskip 14.22636pt&\hat{u}^{\prime}+(a\hat{v}^{-\gamma})=\left(\frac{\hat{u}^{\prime}}{\hat{v}}\right)^{\prime}\\ (c)\hskip 14.22636pt&(\hat{v},\hat{u})|_{x=0}=(v_{0},u_{0})\\ (d)\hskip 14.22636pt&\lim_{x\rightarrow\pm\infty}(\hat{v},\hat{u})=(v,u)_{\pm},\end{split}

where (d) is imposed at ++\infty in the inflow case, -\infty in the outflow case and (imposing σ=0\sigma=0) u0=v0u_{0}=v_{0}. Using (15)(a) we can reduce this to the study of the scalar ODE,

(16) v^+(av^γ)=(v^v^)\hat{v}^{\prime}+(a\hat{v}^{-\gamma})^{\prime}=\left(\frac{\hat{v}^{\prime}}{\hat{v}}\right)^{\prime}\\

with the same boundary conditions at x=0x=0 and x=±x=\pm\infty as above. Taking the antiderivative of this equation yields

(17) v^=C(v^)=v^(v^+av^γ+C),\hat{v}^{\prime}=\mathcal{H}_{C}(\hat{v})=\hat{v}(\hat{v}+a\hat{v}^{-\gamma}+C),

where CC is a constant of integration.

Noting that C\mathcal{H}_{C} is convex, we find that there are precisely two rest points of (17) whenever boundary-layer profiles exist, except at the single parameter value on the boundary between existence and nonexistence of solutions, for which there is a degenerate rest point (double root of C\mathcal{H}_{C}). Ignoring this degenerate case, we see that boundary layers terminating at rest point v+v_{+} as x+x\to+\infty must either continue backward into x<0x<0 to terminate at a second rest point vv_{-} as xx\to-\infty, or else blow up to infinity as xx\to-\infty. The first case we shall call compressive, the second expansive.

In the first case, the extended solution on the whole line may be recognized as a standing viscous shock wave; that is, for isentropic gas dynamics, compressive boundary layers are just restrictions to the half-line x0x\geq 0 [resp. x0x\leq 0] of standing shock waves. In the second case, as discussed in [19], the boundary layers are somewhat analogous to rarefaction waves on the whole line. From here on, we concentrate exclusively on the compressive case.

With the choice v=1v_{-}=1, we may carry out the integration of (16) once more, this time as a definite integral from -\infty to xx, to obtain

(18) v^=H(v^)=v^(v^1+a(v^γ1)),\hat{v}^{\prime}=H(\hat{v})=\hat{v}(\hat{v}-1+a(\hat{v}^{-\gamma}-1)),

where aa is found by letting x+x\rightarrow+\infty, yielding

(19) a=v+1v+γ1=v+γ1v+1v+γ;a=-\frac{v_{+}-1}{v_{+}^{-\gamma}-1}=v_{+}^{\gamma}\frac{1-v_{+}}{1-v_{+}^{\gamma}}\,;

in particular, av+γa\sim v_{+}^{\gamma} in the large boundary layer limit v+0v_{+}\to 0. This is exactly the equation for viscous shock profiles considered in [12].

2.4. Eigenvalue equations

Linearizing (14) about (v^,u^)(\hat{v},\hat{u}), we obtain

(20) v~t+v~xu~x=v~(0,t)v0v^u~t+u~x(h(v^)v^γ+1v~)x(u~xv^)x=v~(0,t)v0u^(v~,u~)|x=0=(v~0(t),0)limx+(v~,u~)=(0,0)\begin{split}&\tilde{v}_{t}+\tilde{v}_{x}-\tilde{u}_{x}=\frac{\tilde{v}(0,t)}{v_{0}}\hat{v}^{\prime}\\ &\tilde{u}_{t}+\tilde{u}_{x}-\left(\frac{h(\hat{v})}{\hat{v}^{\gamma+1}}\tilde{v}\right)_{x}-\left(\frac{\tilde{u}_{x}}{\hat{v}}\right)_{x}=\frac{\tilde{v}(0,t)}{v_{0}}\hat{u}^{\prime}\\ &(\tilde{v},\tilde{u})|_{x=0}=(\tilde{v}_{0}(t),0)\\ &\lim_{x\rightarrow+\infty}(\tilde{v},\tilde{u})=(0,0)\end{split}

where v0=v^(0)v_{0}=\hat{v}(0),

(21) h(v^)=v^γ+1+a(γ1)+(a+1)v^γh(\hat{v})=-\hat{v}^{\gamma+1}+a(\gamma-1)+(a+1)\hat{v}^{\gamma}

and v~,u~\tilde{v},\tilde{u} denote perturbations of v^,u^\hat{v},\hat{u}.

2.4.1. Inflow case

In the inflow case, u~(0,t)=v~(0,t)0\tilde{u}(0,t)=\tilde{v}(0,t)\equiv 0, yielding

(22) λv+vxux\displaystyle\lambda v+v_{x}-u_{x} =0\displaystyle=0
λu+ux(h(v^)v^γ+1v)x\displaystyle\lambda u+u_{x}-\left(\frac{h(\hat{v})}{\hat{v}^{\gamma+1}}v\right)_{x} =(uxv^)x\displaystyle=\left(\frac{u_{x}}{\hat{v}}\right)_{x}

on x>0x>0, with full Dirichlet conditions (v,u)|x=0=(0,0)(v,u)|_{x=0}=(0,0).

2.4.2. Outflow case

Letting U~:=(v~,u~)T{\widetilde{U}}:=(\tilde{v},\tilde{u})^{T}, U^:=(v^,u^)T\hat{U}:=(\hat{v},\hat{u})^{T}, and denoting by \mathcal{L} the operator associated to the linearization about boundary-layer (v^,u^)(\hat{v},\hat{u}),

(23) :=xA(x)xB(x)x,\mathcal{L}:=\partial_{x}A(x)-\partial_{x}B(x)\partial_{x},

where

(24) A(x)=(11h(v^)/v^γ+11),B(x)=(000v^1),A(x)=\left(\begin{array}[]{cc}1&-1\\ -h(\hat{v})/\hat{v}^{\gamma+1}&1\\ \end{array}\right),\hskip 14.22636ptB(x)=\left(\begin{array}[]{cc}0&0\\ 0&\hat{v}^{-1}\end{array}\right),

we have U~tU~=v~0(t)v0U^(x)\tilde{U}_{t}-\mathcal{L}\tilde{U}=\frac{\tilde{v}_{0}(t)}{v_{0}}\hat{U}^{\prime}(x), with associated eigenvalue equation

(25) λU~U~=v~(0,λ)v0U^(x),\lambda\tilde{U}-\mathcal{L}\tilde{U}=\frac{\tilde{v}(0,\lambda)}{v_{0}}\hat{U}^{\prime}(x),

where U^=(v^,u^){\hat{U}}^{\prime}=(\hat{v}^{\prime},\hat{u}^{\prime}).

To eliminate the nonstandard inhomogeneous term on the righthand side of (25), we introduce a “good unknown” (c.f. [2, 6, 11, 14])

(26) U:=U~λ1v~(0,λ)v0U^(x).U:={\widetilde{U}}-\lambda^{-1}\frac{\tilde{v}(0,\lambda)}{v_{0}}\hat{U}^{\prime}(x).

Since U^=0\mathcal{L}{\hat{U}}^{\prime}=0 by differentiation of the boundary-layer equation, the system expressed in the good unknown becomes simply

(27) UtU=0inx<0,U_{t}-\mathcal{L}U=0\hskip 14.22636pt\mbox{in}\;x<0,

or, equivalently, (22) with boundary conditions

(28) U|x=0=v~(0,λ)v0(1λ1v^(0),λ1u^(0))T\displaystyle U|_{x=0}=\frac{\tilde{v}(0,\lambda)}{v_{0}}(1-\lambda^{-1}\hat{v}^{\prime}(0),\,-\lambda^{-1}\hat{u}^{\prime}(0))^{T}
limx+U=0.\displaystyle\lim_{x\rightarrow+\infty}U=0.

Solving for u|x=0u|_{x=0} in terms of v|x=0v|_{x=0} and recalling that v^=u^\hat{v}^{\prime}=\hat{u}^{\prime} by (18), we obtain finally

(29) u|x=0=α(λ)v|x=0,α(λ):=v^(0)λv^(0).u|_{x=0}=\alpha(\lambda)v|_{x=0},\qquad\alpha(\lambda):=\frac{-\hat{v}^{\prime}(0)}{\lambda-\hat{v}^{\prime}(0)}.
Remark 2.1.

Problems (25) and (27)–(22) are evidently equivalent for all λ0\lambda\neq 0, but are not equivalent for λ=0\lambda=0 (for which the change of coordinates to good unknown becomes singular). For, U=U^U=\hat{U}^{\prime} by inspection is a solution of (27), but is not a solution of (25). That is, we have introduced by this transformation a spurious eigenvalue at λ=0\lambda=0, which we shall have to account for later.

2.5. Preliminary estimates

Proposition 2.2 ([3]).

For each γ1\gamma\geq 1, 0<v+1/12<v0<10<v_{+}\leq 1/12<v_{0}<1, (18) has a unique (up to translation) monotone decreasing solution v^\hat{v} decaying to endstates v±v_{\pm} with a uniform exponential rate for v+v_{+} uniformly bounded away from v=1v_{-}=1. In particular, for 0<v+1/120<v_{+}\leq 1/12,

(30a) |v^(x)v+|\displaystyle|\hat{v}(x)-v_{+}| Ce3(xδ)4xδ,\displaystyle\leq Ce^{-\frac{3(x-\delta)}{4}}\quad x\geq\delta,
(30b) |v^(x)v|\displaystyle|\hat{v}(x)-v_{-}| Ce(xδ)2xδ\displaystyle\leq Ce^{\frac{(x-\delta)}{2}}\quad x\leq\delta

where δ\delta is defined by v^(δ)=(v+v+)/2\hat{v}(\delta)=(v_{-}+v_{+})/2.

Proof.

Existence and monotonicity follow trivially by the fact that (18) is a scalar first-order ODE with convex righthand side. Exponential convergence as x+x\to+\infty follows by H(v,v+)=(vv+)(v(1v+1v+γ)(1(v+v)γ1(v+v))),H(v,v_{+})=(v-v_{+})\Big{(}v-\Big{(}\frac{1-v_{+}}{1-v_{+}^{\gamma}}\Big{)}\Big{(}\frac{1-\big{(}\frac{v_{+}}{v}\big{)}^{\gamma}}{1-\big{(}\frac{v_{+}}{v}\big{)}}\Big{)}\Big{)}, whence vγH(v,v+)vv+v(1v+)v-\gamma\leq\frac{H(v,v_{+})}{v-v_{+}}\leq v-(1-v_{+}) by 11xγ1xγ1\leq\frac{1-x^{\gamma}}{1-x}\leq\gamma for 0x10\leq x\leq 1. Exponential convergence as xx\to-\infty follows by a similar, but more straightforward calculation, where, in the “centered” coordinate x~:=xδ\tilde{x}:=x-\delta, the constants C>0C>0 are uniform with respect to v+,v0v_{+},v_{0}. See [3] for details. ∎

The following estimates are established in Appendices A and B.

Proposition 2.3.

Nonstable eigenvalues λ\lambda of (22), i.e., eigenvalues with nonnegative real part, are confined for any 0<v+10<v_{+}\leq 1 to the region

(31) Λ:={λ:e(λ)+|m(λ)|12(2γ+1)2}.\Lambda:=\{\lambda:\,\Re e(\lambda)+|\Im m(\lambda)|\leq\frac{1}{2}\Big{(}2\sqrt{\gamma}+1\Big{)}^{2}\}.

for the inflow case, and to the region

(32) Λ:={λ:e(λ)+|m(λ)|max{322,3γ+38}\Lambda:=\{\lambda:\,\Re e(\lambda)+|\Im m(\lambda)|\leq\max\{\frac{3\sqrt{2}}{2},3\gamma+\frac{3}{8}\}

for the outflow case.

2.6. Evans function formulation

Setting w:=uv^+h(v^)v^γ+1vuw:=\frac{u^{\prime}}{\hat{v}}+\frac{h(\hat{v})}{\hat{v}^{\gamma+1}}v-u, we may express (22) as a first-order system

(33) W=A(x,λ)W,W^{\prime}=A(x,\lambda)W,

where

(34) A(x,λ)=(0λλ00λv^v^f(v^)λ),W=(wuvv),=ddx,A(x,\lambda)=\begin{pmatrix}0&\lambda&\lambda\\ 0&0&\lambda\\ \hat{v}&\hat{v}&f(\hat{v})-\lambda\\ \end{pmatrix},\quad W=\begin{pmatrix}w\\ u-v\\ v\end{pmatrix},\quad\prime=\frac{d}{dx},

where

(35) f(v^)=v^v^γh(v^)=2v^a(γ1)v^γ(a+1),f(\hat{v})=\hat{v}-\hat{v}^{-\gamma}h(\hat{v})=2\hat{v}-a(\gamma-1)\hat{v}^{-\gamma}-(a+1),

with hh as in (21) and aa as in (19), or, equivalently,

(36) f(v^)=2v^(γ1)(1v+1v+γ)(v+v^)γ(1v+1v+γ)v+γ1.f(\hat{v})=2\hat{v}-(\gamma-1)\Big{(}\frac{1-v_{+}}{1-v_{+}^{\gamma}}\Big{)}\Big{(}\frac{v_{+}}{\hat{v}}\Big{)}^{\gamma}-\Big{(}\frac{1-v_{+}}{1-v_{+}^{\gamma}}\Big{)}v_{+}^{\gamma}-1.
Remark 2.4.

The coefficient matrix AA may be recognized as a rescaled version of the coefficient matrix 𝒜\mathcal{A} appearing in the shock case [3, 12], with

𝒜=(10001000λ)A(100010001/λ).\mathcal{A}=\begin{pmatrix}1&0&0\\ 0&1&0\\ 0&0&\lambda\end{pmatrix}A\begin{pmatrix}1&0&0\\ 0&1&0\\ 0&0&1/\lambda\end{pmatrix}.

The choice of variables (w,uv,v)T(w,u-v,v)^{T} may be recognized as the modified flux form of [22], adapted to the hyperbolic–parabolic case.

Eigenvalues of (22) correspond to nontrivial solutions WW for which the boundary conditions W(±)=0W(\pm\infty)=0 are satisfied. Because A(x,λ)A(x,\lambda) as a function of v^\hat{v} is asymptotically constant in xx, the behavior near x=±x=\pm\infty of solutions of (34) is governed by the limiting constant-coefficient systems

(37) W=A±(λ)W,A±(λ):=A(±,λ),W^{\prime}=A_{\pm}(\lambda)W,\qquad A_{\pm}(\lambda):=A(\pm\infty,\lambda),

from which we readily find on the (nonstable) domain λ0\Re\lambda\geq 0, λ0\lambda\neq 0 of interest that there is a one-dimensional unstable manifold W1(x)W_{1}^{-}(x) of solutions decaying at x=x=-\infty and a two-dimensional stable manifold W2+(x)W3+(x)W_{2}^{+}(x)\wedge W_{3}^{+}(x) of solutions decaying at x=+x=+\infty, analytic in λ\lambda, with asymptotic behavior

(38) Wj±(x,λ)eμ±(λ)xVj±(λ)W_{j}^{\pm}(x,\lambda)\sim e^{\mu_{\pm}(\lambda)x}V_{j}^{\pm}(\lambda)

as x±x\to\pm\infty, where μ±(λ)\mu_{\pm}(\lambda) and Vj±(λ)V_{j}^{\pm}(\lambda) are eigenvalues and associated analytically chosen eigenvectors of the limiting coefficient matrices A±(λ)A_{\pm}(\lambda). A standard choice of eigenvectors Vj±V_{j}^{\pm} [8, 5, 4, 13], uniquely specifying Wj±W_{j}^{\pm} (up to constant factor) is obtained by Kato’s ODE [15], a linear, analytic ODE whose solution can be alternatively characterized by the property that there exist corresponding left eigenvectors V~j±\tilde{V}_{j}^{\pm} such that

(39) (V~jVj)±constant,(V~jV˙j)±0,(\tilde{V}_{j}\cdot V_{j})^{\pm}\equiv{\rm constant},\quad(\tilde{V}_{j}\cdot\dot{V}_{j})^{\pm}\equiv 0,

where “˙\,\,\dot{}\,\,” denotes d/dλd/d\lambda; for further discussion, see [15, 8, 13].

2.6.1. Inflow case

In the inflow case, 0x+0\leq x\leq+\infty, we define the Evans function DD as the analytic function

(40) Din(λ):=det(W10,W2+,W3+)x=0,D_{\rm in}(\lambda):=\det(W_{1}^{0},W_{2}^{+},W_{3}^{+})_{\mid x=0},

where Wj+W^{+}_{j} are as defined above, and W10W^{0}_{1} is a solution satisfying the boundary conditions (v,u)=(0,0)(v,u)=(0,0) at x=0x=0, specifically,

(41) W10|x=0=(1,0,0)T.W^{0}_{1}|_{x=0}=(1,0,0)^{T}.

With this definition, eigenvalues of \mathcal{L} correspond to zeroes of DD both in location and multiplicity; moreover, the Evans function extends analytically to λ=0\lambda=0, i.e., to all of λ0\Re\lambda\geq 0. See [1, 8, 17, 27] for further details.

Equivalently, following [21, 3], we may express the Evans function as

(42) Din(λ)=(W10W~1+)x=0,D_{\rm in}(\lambda)=\big{(}W_{1}^{0}\cdot\widetilde{W}_{1}^{+}\big{)}_{\mid x=0},

where W~1+(x)\widetilde{W}_{1}^{+}(x) spans the one-dimensional unstable manifold of solutions decaying at x=+x=+\infty (necessarily orthogonal to the span of W2+(x)W_{2}^{+}(x) and W3+(x)W_{3}^{+}(x)) of the adjoint eigenvalue ODE

(43) W~=A(x,λ)W~.\widetilde{W}^{\prime}=-A(x,\lambda)^{*}\widetilde{W}.

The simpler representation (42) is the one that we shall use here.

2.6.2. Outflow case

In the outflow case, x0-\infty\leq x\leq 0, we define the Evans function as

(44) Dout(λ):=det(W1,W20,W30)x=0,D_{\rm out}(\lambda):=\det(W_{1}^{-},W_{2}^{0},W_{3}^{0})_{\mid x=0},

where W1W^{-}_{1} is as defined above, and Wj0W^{0}_{j} are a basis of solutions of (33) satisfying the boundary conditions (29), specifically,

(45) W20|x=0=(1,0,0)T,W30|x=0=(0,λλv^(0),1)T,W^{0}_{2}|_{x=0}=(1,0,0)^{T},\qquad W^{0}_{3}|_{x=0}=\Big{(}0,-\frac{\lambda}{\lambda-\hat{v}^{\prime}(0)},1\Big{)}^{T},

or, equivalently, as

(46) Dout(λ)=(W1W~10)x=0,D_{\rm out}(\lambda)=\big{(}W_{1}^{-}\cdot\widetilde{W}_{1}^{0}\big{)}_{\mid x=0},

where

(47) W~10=(0,1,λ¯λ¯v^(0))T\widetilde{W}^{0}_{1}=\Big{(}0,-1,-\frac{\bar{\lambda}}{\bar{\lambda}-\hat{v}^{\prime}(0)}\Big{)}^{T}

is the solution of the adjoint eigenvalue ODE dual to W20W^{0}_{2} and W30W^{0}_{3}.

Remark 2.5.

As discussed in Remark 2.1, DoutD_{\rm out} has a spurious zero at λ=0\lambda=0 introduced by the coordinate change to “good unknown”.

3. Main results

We can now state precisely our main results.

3.1. The strong layer limit

Taking a formal limit as v+0v_{+}\to 0 of the rescaled equations (14) and recalling that av+γa\sim v_{+}^{\gamma}, we obtain a limiting evolution equation

(48) vt+vxux=0,ut+ux=(uxv)x\begin{split}v_{t}+v_{x}-u_{x}&=0,\\ u_{t}+u_{x}&=\left(\frac{u_{x}}{v}\right)_{x}\end{split}

corresponding to a pressureless gas, or γ=0\gamma=0.

The associated limiting profile equation v=v(v1)v^{\prime}=v(v-1) has explicit solution

(49) v^0(x)=1tanh(xδ2)2,\hat{v}^{0}(x)=\frac{1-\tanh\big{(}\frac{x-\delta}{2}\big{)}}{2},

v^0(0)=1tanh(δ/2)2=v0\hat{v}^{0}(0)=\frac{1-\tanh(-\delta/2)}{2}=v_{0}; the limiting eigenvalue system is W=A0(x,λ)W,W^{\prime}=A^{0}(x,\lambda)W,

(50) A0(x,λ)=(0λλ00λv^0v^0f0(v^0)λ),A^{0}(x,\lambda)=\begin{pmatrix}0&\lambda&\lambda\\ 0&0&\lambda\\ \hat{v}^{0}&\hat{v}^{0}&f^{0}(\hat{v}^{0})-\lambda\end{pmatrix},

where f0(v^0)=2v^01=tanh(x+δ2).f^{0}(\hat{v}^{0})=2\hat{v}^{0}-1=-\tanh\big{(}\frac{x+\delta}{2}\big{)}.

Convergence of the profile and eigenvalue equations is uniform on any interval v^0ϵ>0\hat{v}^{0}\geq\epsilon>0, or, equivalently, xδLx-\delta\leq L, for LL any positive constant, where the sequence of coefficient matrices is therefore a regular perturbation of its limit. Following [12], we call xL+δx\leq L+\delta the “regular region”. For v^00\hat{v}_{0}\to 0 on the other hand, or xx\to\infty, the limit is less well-behaved, as may be seen by the fact that f/v^v^1\partial f/\partial\hat{v}\sim\hat{v}^{-1} as v^v+\hat{v}\to v_{+}, a consequence of the appearance of (v+v^)\big{(}\frac{v_{+}}{\hat{v}}\big{)} in the expression (36) for ff. Similarly, A(x,λ)A(x,\lambda) does not converge to A+(λ)A_{+}(\lambda) as x+x\to+\infty with uniform exponential rate independent of v+v_{+}, γ\gamma, but rather as Cv^1ex/2C\hat{v}^{-1}e^{-x/2}. As in the shock case, this makes problematic the treatment of xL+δx\geq L+\delta. Following [12] we call xL+δx\geq L+\delta the “singular region”.

To put things in another way, the effects of pressure are not lost as v+0v_{+}\to 0, but rather pushed to x=+x=+\infty, where they must be studied by a careful boundary-layer analysis. (Note: this is not a boundary-layer in the same sense as the background solution, nor is it a singular perturbation in the usual sense, at least as we have framed the problem here.)

Remark 3.1.

A significant difference from the shock case of [12] is the appearance of the second parameter v0v_{0} that survives in the v+0v_{+}\to 0 limit.

3.1.1. Inflow case

Observe that the limiting coefficient matrix

(51) A+0(λ)\displaystyle A^{0}_{+}(\lambda) :=A0(+,λ)=(0λλ00λ001λ),\displaystyle=A^{0}(+\infty,\lambda)=\begin{pmatrix}0&\lambda&\lambda\\ 0&0&\lambda\\ 0&0&-1-\lambda\end{pmatrix},

is nonhyperbolic (in ODE sense) for all λ\lambda, having eigenvalues 0,0,1λ0,0,-1-\lambda; in particular, the stable manifold drops to dimension one in the limit v+0v_{+}\to 0, and so the prescription of an associated Evans function is underdetermined.

This difficulty is resolved by a careful boundary-layer analysis in [12], determining a special “slow stable” mode

V2+±(1,0,0)TV_{2}^{+}\pm(1,0,0)^{T}

augmenting the “fast stable” mode

V3:=(λ/μ)(λ/μ+1),λ/μ,1)TV_{3}:=(\lambda/\mu)(\lambda/\mu+1),\lambda/\mu,1)^{T}

associated with the single stable eigenvalue μ=1λ\mu=-1-\lambda of A+0A^{0}_{+}. This determines a limiting Evans function Din0(λ)D^{0}_{\rm in}(\lambda) by the prescription (40), (38) of Section 2.6, or alternatively via (42) as

(52) Din0(λ)=(W100W~10+)x=0,D^{0}_{\rm in}(\lambda)=\big{(}W_{1}^{00}\cdot\widetilde{W}_{1}^{0+}\big{)}_{\mid x=0},

with W~10+\widetilde{W}_{1}^{0+} defined analogously as a solution of the adjoint limiting system lying asymptotically at x=+x=+\infty in direction

(53) V~1:=(0,1,λ¯/μ¯)T\widetilde{V}_{1}:=(0,-1,\bar{\lambda}/\bar{\mu})^{T}

orthogonal to the span of V2V_{2} and V3V_{3}, where “ ¯\bar{} ” denotes complex conjugate, and W100W^{00}_{1} defined as the solution of the limiting eigenvalue equations satisfying boundary condition (41), i.e., (W100)x=0=(1,0,0)T(W_{1}^{00})_{\mid x=0}=(1,0,0)^{T}.

3.1.2. Outflow case

We have no such difficulties in the outflow case, since A0=A0()A^{0}_{-}=A^{0}(-\infty) remains uniformly hyperbolic, and we may define a limiting Evans function Dout0D^{0}_{\rm out} directly by (44), (38), (47), at least so long as v0v_{0} remains bounded from zero. (As perhaps already hinted by Remark 3.1, there are complications associated with the double limit (v0,v+)(0,0)(v_{0},v_{+})\to(0,0).)

3.2. Analytical results

With the above definitions, we have the following main theorems characterizing the strong-layer limit v+0v_{+}\to 0 as well as the limits v00, 1v_{0}\to 0,\,1.

Theorem 3.2.

For v0η>0v_{0}\geq\eta>0 and λ\lambda in any compact subset of λ0\Re\lambda\geq 0, Din(λ)D_{\rm in}(\lambda) and Dout(λ)D_{\rm out}(\lambda) converge uniformly to Din0(λ)D^{0}_{\rm in}(\lambda) and Dout0(λ)D^{0}_{\rm out}(\lambda) as v+0v_{+}\to 0.

Theorem 3.3.

For λ\lambda in any compact subset of λ0\Re\lambda\geq 0 and v+v_{+} bounded from 11, Din(λ)D_{\rm in}(\lambda), appropriately renormalized by a nonvanishing analytic factor, converges uniformly as v01v_{0}\to 1 to the Evans function for the (unintegrated) eigenvalue equations of the associated viscous shock wave connecting v=1v_{-}=1 to v+v_{+}; likewise, Dout0(λ)D^{0}_{\rm out}(\lambda), appropriately renormalized, converges uniformly as v00v_{0}\to 0 to the same limit for λ\lambda uniformly bounded away from zero.

By similar computations, we obtain also the following direct result.

Theorem 3.4.

Inflow boundary layers are stable for v0v_{0} sufficiently small.

We have also the following parity information, obtained by stability-index computations as in [25].333Indeed, these may be deduced from the results of [25], taking account of the difference between Eulerian and Lagrangian coordinates.

Lemma 3.5 (Stability index).

For any γ1\gamma\geq 1, v0v_{0}, and v+v_{+}, Din(0)0D_{\rm in}(0)\neq 0, hence the number of unstable roots of DinD_{\rm in} is even; on the other hand Din0(0)=0D^{0}_{\rm in}(0)=0 and limv00Din0(λ)0\lim_{v_{0}\to 0}D^{0}_{\rm in}(\lambda)\equiv 0. Likewise, (Din0)(0)(D^{0}_{\rm in})^{\prime}(0), Dout(0)0D_{\rm out}^{\prime}(0)\neq 0, (Dout0)(0)0(D^{0}_{\rm out})^{\prime}(0)\neq 0, hence the number of nonzero unstable roots of Din0D^{0}_{\rm in}, DoutD_{\rm out}, Dout0D^{0}_{\rm out} is even.

Finally, we have the following auxiliary results established by energy estimates in Appendices C, D, E, and F.

Proposition 3.6.

The limiting Evans function Din0D^{0}_{\rm in} is nonzero for λ0\lambda\neq 0 on eλ0\Re e\lambda\geq 0, for all 1>v0>01>v_{0}>0. The limiting Evans function Dout0D^{0}_{\rm out} is nonzero for λ0\lambda\neq 0 on eλ0\Re e\lambda\geq 0, for 1>v0>v1>v_{0}>v_{*}, where v0.0899v_{*}\approx 0.0899 is determined by the functional equation v=e2/(1v)2v_{*}=e^{-2/(1-v_{*})^{2}}.

Proposition 3.7.

Compressive outflow boundary layers are stable for v+v_{+} sufficiently close to 11.

Proposition 3.8 ([19]).

Expansive inflow boundary layers are stable for all parameter values.

Collecting information, we have the following analytical stability results.

Corollary 3.9.

For v0v_{0} or v+v_{+} sufficiently small, compressive inflow boundary layers are stable. For v0v_{0} sufficiently small, v+v_{+} sufficiently close to 11, or v0>v.0899v_{0}>v_{*}\approx.0899 and v+v_{+} sufficiently small, compressive outflow layers are stable. Expansive inflow boundary layers are stable for all parameter values.

Stability of inflow boundary layers in the characteristic limit v+1v_{+}\to 1 is not treated here, but should be treatable analytically by the asymptotic ODE methods used in [22, 7] to study the small-amplitude (characteristic) shock limit. This would be an interesting direction for future investigation. The characteristic limit is not accessible numerically, since the exponential decay rate of the background profile decays to zero as |1v+||1-v_{+}|, so that the numerical domain of integration needed to resolve the eigenvalue ODE becomes infinitely large as v+1v_{+}\to 1.

Remark 3.10.

Stability in the noncharacteristic weak layer limit v0v+v_{0}\to v_{+} [resp. 11] in the inflow [outflow] case, for v+v_{+} bounded away from the strong and characteristic limits 0 and 11 has already been established in [10, 23]. Indeed, it is shown in [10] that the Evans function converges to that for a constant solution, and this is a regular perturbation.

Remark 3.11.

Stability of Din0D^{0}_{\rm in}, Dout0D^{0}_{\rm out} may also be determined numerically, in particular in the region v0vv_{0}\leq v_{*} not covered by Proposition 3.6.

3.3. Numerical results

The asymptotic results of Section 3.2 reduce the problem of (uniformly noncharacteristic, v+v_{+} bounded away from v=1v_{-}=1) boundary layer stability to a bounded parameter range on which the Evans function may be efficiently computed numerically in a way that is uniformly well-conditioned; see [5]. Specifically, we may map a semicircle

{λ0}{|λ|10}\partial\{\Re\lambda\geq 0\}\cap\{|\lambda|\leq 10\}

enclosing Λ\Lambda for γ[1,3]\gamma\in[1,3] by Din0D^{0}_{\rm in}, Dout0D^{0}_{\rm out}, DinD_{\rm in}, DoutD_{\rm out} and compute the winding number of its image about the origin to determine the number of zeroes of the various Evans functions within the semicircle, and thus within Λ\Lambda. For details of the numerical algorithm, see [3, 5].

In all cases, we obtain results consistent with stability; that is, a winding number of zero or one, depending on the situation. In the case of a single nonzero root, we know from our limiting analysis that this root may be quite near λ=0\lambda=0, making delicate the direct determination of its stability; however, in this case we do not attempt to determine the stability numerically, but rely on the analytically computed stability index to conclude stability. See Section 6 for further details.

3.4. Conclusions

As in the shock case [3, 12], our results indicate unconditional stability of uniformly noncharacteristic boundary-layers for isentropic Navier–Stokes equations (and, for outflow layer, in the characteristic limit as well), despite the additional complexity of the boundary-layer case. However, two additional comments are in order, perhaps related. First, we point out that the apparent symmetry of Theorem 3.3 in the v00v_{0}\to 0 outflow and v01v_{0}\to 1 inflow limits is somewhat misleading. For, the limiting, shock Evans function possesses a single zero at λ=0\lambda=0, indicating that stability of inflow boundary layers is somewhat delicate as v01v_{0}\to 1: specifically, they have an eigenvalue near zero, which, though stable, is (since vanishingly small in the shock limit) not “very” stable. Likewise, the limiting Evans function Din0D^{0}_{\rm in} as v+0v_{+}\to 0 possesses a zero at λ=0\lambda=0, with the same conclusions.

By contrast, the Evans functions of outflow boundary layers possess a spurious zero at λ=0\lambda=0, so that convergence to the shock or strong-layer limit in this case implies the absence of any eigenvalues near zero, or “uniform” stability as v+0v_{+}\to 0. In this sense, strong outflow boundary layers appear to be more stable than inflow boundary layers. One may make interesting comparisons to physical attempts to stabilize laminar flow along an air- or hydro-foil by suction (outflow) along the boundary. See, for example, the interesting treatise [24].

Second, we point out the result of instability obtained in [25] for inflow boundary-layers of the full (nonisentropic) ideal-gas equations for appropriate ratio of the coefficients of viscosity and heat conduction. This suggests that the small eigenvalues of the strong inflow-layer limit may in some cases perturb to the unstable side. It would be very interesting to make these connections more precise, as we hope to do in future work.

4. Boundary-layer analysis

Since the structure of (34) is essentially the same as that of the shock case, we may follow exactly the treatment in [12] analyzing the flow of (34) in the singular region x+x\to+\infty. As we shall need the details for further computations (specifically, the proof of Theorem 3.4), we repeat the analysis here in full.

Our starting point is the observation that

(54) A(x,λ)=(0λλ00λv^v^f(v^)λ)A(x,\lambda)=\begin{pmatrix}0&\lambda&\lambda\\ 0&0&\lambda\\ \hat{v}&\hat{v}&f(\hat{v})-\lambda\end{pmatrix}

is approximately block upper-triangular for v^\hat{v} sufficiently small, with diagonal blocks (0λ00)\begin{pmatrix}0&\lambda\\ 0&0\\ \end{pmatrix} and (f(v^)λ)\begin{pmatrix}f(\hat{v})-\lambda\end{pmatrix} that are uniformly spectrally separated on eλ0\Re e\lambda\geq 0, as follows by

(55) f(v^)v^13/4.f(\hat{v})\leq\hat{v}-1\leq-3/4.

We exploit this structure by a judicious coordinate change converting (34) to a system in exact upper triangular form, for which the decoupled “slow” upper lefthand 2×22\times 2 block undergoes a regular perturbation that can be analyzed by standard tools introduced in [22]. Meanwhile, the fast, lower righthand 1×11\times 1 block, since scalar, may be solved exactly.

4.1. Preliminary transformation

We first block upper-triangularize by a static (constant) coordinate transformation the limiting matrix

(56) A+=A(+,λ)=(0λλ00λv+v+f(v+)λ)A_{+}=A(+\infty,\lambda)=\begin{pmatrix}0&\lambda&\lambda\\ 0&0&\lambda\\ v_{+}&v_{+}&f(v_{+})-\lambda\end{pmatrix}

at x=+x=+\infty using special block lower-triangular transformations

(57) R+:=(I0v+θ+1),L+:=R+1=(I0v+θ+1),R_{+}:=\begin{pmatrix}I&0\\ v_{+}\theta_{+}&1\\ \end{pmatrix},\qquad L_{+}:=R_{+}^{-1}=\begin{pmatrix}I&0\\ -v_{+}\theta_{+}&1\\ \end{pmatrix},

where II denotes the 2×22\times 2 identity matrix and θ+1×2\theta_{+}\in\mathbb{C}^{1\times 2} is a 1×21\times 2 row vector.

Lemma 4.1.

On any compact subset of eλ0\Re e\lambda\geq 0, for each v+>0v_{+}>0 sufficiently small, there exists a unique θ+=θ+(v+,λ)\theta_{+}=\theta_{+}(v_{+},\lambda) such that A^+:=L+A+R+\hat{A}_{+}:=L_{+}A_{+}R_{+} is upper block-triangular,

(58) A^+\displaystyle\hat{A}_{+} =(λ(J+v+11θ+)λ110f(v+)λλv+θ+11),\displaystyle=\begin{pmatrix}\lambda(J+v_{+}{1\!\!1}\theta_{+})&\lambda{1\!\!1}\\ 0&f(v_{+})-\lambda-\lambda v_{+}\theta_{+}{1\!\!1}\\ \end{pmatrix},

where J=(0100)J=\begin{pmatrix}0&1\\ 0&0\end{pmatrix} and 11=(11){1\!\!1}=\begin{pmatrix}1\\ 1\\ \end{pmatrix}, satisfying a uniform bound

(59) |θ+|C.|\theta_{+}|\leq C.
Proof.

Setting the 212-1 block of A^+\hat{A}_{+} to zero, we obtain the matrix equation

θ+(aIλJ)=11T+λv+θ+11θ+,\theta_{+}(aI-\lambda J)=-{1\!\!1}^{T}+\lambda v_{+}\theta_{+}{1\!\!1}\theta_{+},

where a=f(v+)λa=f(v_{+})-\lambda, or, equivalently, the fixed-point equation

(60) θ+=(aIλJ)1(11T+λv+θ+11θ+).\theta_{+}=(aI-\lambda J)^{-1}\Big{(}-{1\!\!1}^{T}+\lambda v_{+}\theta_{+}{1\!\!1}\theta_{+}\Big{)}.

By det(aIλJ)=a20\det(aI-\lambda J)=a^{2}\neq 0, (aIλJ)1(aI-\lambda J)^{-1} is uniformly bounded on compact subsets of eλ0\Re e\lambda\geq 0 (indeed, it is uniformly bounded on all of eλ0\Re e\lambda\geq 0), whence, for |λ||\lambda| bounded and v+v_{+} sufficiently small, there exists a unique solution by the Contraction Mapping Theorem, which, moreover, satisfies (59). ∎

4.2. Dynamic triangularization

Defining now Y:=L+WY:=L_{+}W and

A^(x,λ)=L+A(x,λ)R+(x,λ)=\displaystyle\hat{A}(x,\lambda)=L_{+}A(x,\lambda)R_{+}(x,\lambda)=
(λ(J+v+11θ+)λ11(v^v+)11Tv+(f(v^)f(v+))θ+f(v^)λλv+θ+11),\displaystyle\quad\begin{pmatrix}\\ \lambda(J+v_{+}{1\!\!1}\theta_{+})&\quad&\lambda{1\!\!1}\\ (\hat{v}-v_{+}){1\!\!1}^{T}-v_{+}(f(\hat{v})-f(v_{+}))\theta_{+}&\quad&f(\hat{v})-\lambda-\lambda v_{+}\theta_{+}{1\!\!1}\\ \end{pmatrix},

we have converted (34) to an asymptotically block upper-triangular system

(61) Y=A^(x,λ)Y,Y^{\prime}=\hat{A}(x,\lambda)Y,

with A^+=A^(+,λ)\hat{A}_{+}=\hat{A}(+\infty,\lambda) as in (58). Our next step is to choose a dynamic transformation of the same form

(62) R~:=(I0Θ~1),L~:=R~1=(I0Θ~1),\tilde{R}:=\begin{pmatrix}I&0\\ \tilde{\Theta}&1\\ \end{pmatrix},\qquad\tilde{L}:=\tilde{R}^{-1}=\begin{pmatrix}I&0\\ -\tilde{\Theta}&1\\ \end{pmatrix},

converting (61) to an exactly block upper-triangular system, with Θ~\tilde{\Theta} uniformly exponentially decaying at x=+x=+\infty: that is, a regular perturbation of the identity.

Lemma 4.2.

On any compact subset of eλ0\Re e\lambda\geq 0, for LL sufficiently large and each v+>0v_{+}>0 sufficiently small, there exists a unique Θ=Θ+(x,λ,v+)\Theta=\Theta_{+}(x,\lambda,v_{+}) such that A~:=L~A^(x,λ)R~+L~R~\tilde{A}:=\tilde{L}\hat{A}(x,\lambda)\tilde{R}+\tilde{L}^{\prime}\tilde{R} is upper block-triangular,

(63) A~\displaystyle\tilde{A} =(λ(J+v+11θ++11Θ~)λ110f(v^)λλθ+11λΘ~11),\displaystyle=\begin{pmatrix}\lambda(J+v_{+}{1\!\!1}\theta_{+}+{1\!\!1}\tilde{\Theta})&\lambda{1\!\!1}\\ 0&f(\hat{v})-\lambda-\lambda\theta_{+}{1\!\!1}-\lambda\tilde{\Theta}{1\!\!1}\\ \end{pmatrix},

and Θ~(L)=0\tilde{\Theta}(L)=0, satisfying a uniform bound

(64) |Θ~(x,λ,v+)|Ceηx,η>0,xL,|\tilde{\Theta}(x,\lambda,v_{+})|\leq Ce^{-\eta x},\qquad\eta>0,\,x\geq L,

independent of the choice of LL, v+v_{+}.

Proof.

Setting the 212-1 block of A~\tilde{A} to zero and computing

L~R~=(00Θ~0)(I0Θ~I)=(00Θ~0,)\tilde{L}^{\prime}\tilde{R}=\begin{pmatrix}0&0\\ -\tilde{\Theta}^{\prime}&0\end{pmatrix}\begin{pmatrix}I&0\\ \tilde{\Theta}&I\end{pmatrix}=\begin{pmatrix}0&0\\ -\tilde{\Theta}^{\prime}&0,\end{pmatrix}

we obtain the matrix equation

(65) Θ~Θ~(aIλ(J+v+11θ+))=ζ+λΘ~11Θ~,\tilde{\Theta}^{\prime}-\tilde{\Theta}\big{(}aI-\lambda(J+v_{+}{1\!\!1}\theta_{+})\big{)}=\zeta+\lambda\tilde{\Theta}{1\!\!1}\tilde{\Theta},

where a(x):=f(v^)λλv+θ+11a(x):=f(\hat{v})-\lambda-\lambda v_{+}\theta_{+}{1\!\!1} and the forcing term

ζ:=(v^v+)11T+v+(f(v^)f(v+))θ+\zeta:=-(\hat{v}-v_{+}){1\!\!1}^{T}+v_{+}(f(\hat{v})-f(v_{+}))\theta_{+}

by derivative estimate df/dv^Cv^1df/d\hat{v}\leq C\hat{v}^{-1} together with the Mean Value Theorem is uniformly exponentially decaying:

(66) |ζ|C|v^v+|C2eηx,η>0.\displaystyle|\zeta|\leq C|\hat{v}-v_{+}|\leq C_{2}e^{-\eta x},\qquad\eta>0.

Initializing Θ~(L)=0\tilde{\Theta}(L)=0, we obtain by Duhamel’s Principle/Variation of Constants the representation (supressing the argument λ\lambda)

(67) Θ~(x)=LxSyx(ζ+λΘ~11Θ~)(y)𝑑y,\tilde{\Theta}(x)=\int_{L}^{x}S^{y\to x}(\zeta+\lambda\tilde{\Theta}{1\!\!1}\tilde{\Theta})(y)\,dy,

where SyxS^{y\to x} is the solution operator for the homogeneous equation

Θ~Θ~(aIλ(J+v+11θ+))=0,\tilde{\Theta}^{\prime}-\tilde{\Theta}\big{(}aI-\lambda(J+v_{+}{1\!\!1}\theta_{+})\big{)}=0,

or, explicitly,

Syx=eyxa(y)𝑑yeλ(J+v+11θ+)(xy).S^{y\to x}=e^{\int_{y}^{x}a(y)dy}e^{-\lambda(J+v_{+}{1\!\!1}\theta_{+})(x-y)}.

For |λ||\lambda| bounded and v+v_{+} sufficiently small, we have by matrix perturbation theory that the eigenvalues of λ(J+v+11θ+)-\lambda(J+v_{+}{1\!\!1}\theta_{+}) are small and the entries are bounded, hence

|eλ(J+v+11θ+)z|Ceϵz|e^{-\lambda(J+v_{+}{1\!\!1}\theta_{+})z}|\leq Ce^{\epsilon z}

for z0z\geq 0. Recalling the uniform spectral gap ea=f(v^)eλ1/2\Re ea=f(\hat{v})-\Re e\lambda\leq-1/2 for eλ0\Re e\lambda\geq 0, we thus have

(68) |Syx|Ceη(xy)|S^{y\to x}|\leq Ce^{\eta(x-y)}

for some CC, η>0\eta>0. Combining (66) and (68), we obtain

(69) |LxSyxζ(y)𝑑y|\displaystyle\Big{|}\int_{L}^{x}S^{y\to x}\zeta(y)\,dy\Big{|} LxC2eη(xy)e(η/2)y𝑑y\displaystyle\leq\int_{L}^{x}C_{2}e^{-\eta(x-y)}e^{-(\eta/2)y}dy
=C3e(η/2)x.\displaystyle=C_{3}e^{-(\eta/2)x}.

Defining Θ~(x)=:θ~(x)e(η/2)x\tilde{\Theta}(x)=:\tilde{\theta}(x)e^{-(\eta/2)x} and recalling (67) we thus have

(70) θ~(x)=f+e(η/2)xLxSyxeηyλθ~11θ~(y)𝑑y,\tilde{\theta}(x)=f+e^{(\eta/2)x}\int_{L}^{x}S^{y\to x}e^{-\eta y}\lambda\tilde{\theta}{1\!\!1}\tilde{\theta}(y)\,dy,

where f:=e(η/2)xLxSyxζ(y)𝑑yf:=e^{(\eta/2)x}\int_{L}^{x}S^{y\to x}\zeta(y)\,dy is uniformly bounded, |f|C3|f|\leq C_{3}, and e(η/2)xLxSyxeηyλθ~11θ~(y)𝑑ye^{(\eta/2)x}\int_{L}^{x}S^{y\to x}e^{-\eta y}\lambda\tilde{\theta}{1\!\!1}\tilde{\theta}(y)\,dy is contractive with arbitrarily small contraction constant ϵ>0\epsilon>0 in L[L,+)L^{\infty}[L,+\infty) for |θ~|2C3|\tilde{\theta}|\leq 2C_{3} for LL sufficiently large, by the calculation

|e(η/2)xLxSyxeηyλθ~111θ~1(y)e(η/2)xLxSyxeηyλθ~211θ~2(y)|\displaystyle\Big{|}e^{(\eta/2)x}\int_{L}^{x}S^{y\to x}e^{-\eta y}\lambda\tilde{\theta}_{1}{1\!\!1}\tilde{\theta}_{1}(y)-e^{(\eta/2)x}\int_{L}^{x}S^{y\to x}e^{-\eta y}\lambda\tilde{\theta}_{2}{1\!\!1}\tilde{\theta}_{2}(y)\Big{|}
|e(η/2)xLxCeη(xy)eηy𝑑y||λ|θ~1θ~2maxjθ~j\displaystyle\qquad\qquad\leq\Big{|}e^{(\eta/2)x}\int_{L}^{x}Ce^{-\eta(x-y)}e^{-\eta y}\,dy\Big{|}|\lambda|\|\tilde{\theta}_{1}-\tilde{\theta}_{2}\|_{\infty}\max_{j}\|\tilde{\theta}_{j}\|_{\infty}
e(η/2)L|LxCe(η/2)(xy)𝑑y||λ|θ~1θ~2maxjθ~j\displaystyle\qquad\qquad\leq e^{-(\eta/2)L}\Big{|}\int_{L}^{x}Ce^{-(\eta/2)(x-y)}\,dy\Big{|}|\lambda|\|\tilde{\theta}_{1}-\tilde{\theta}_{2}\|_{\infty}\max_{j}\|\tilde{\theta}_{j}\|_{\infty}
=C3e(η/2)L|λ|θ~1θ~2maxjθ~j.\displaystyle\qquad\qquad=C_{3}e^{-(\eta/2)L}|\lambda|\|\tilde{\theta}_{1}-\tilde{\theta}_{2}\|_{\infty}\max_{j}\|\tilde{\theta}_{j}\|_{\infty}.

It follows by the Contraction Mapping Principle that there exists a unique solution θ~\tilde{\theta} of fixed point equation (70) with |θ~(x)|2C3|\tilde{\theta}(x)|\leq 2C_{3} for xLx\geq L, or, equivalently (redefining the unspecified constant η\eta), (64). ∎

4.3. Fast/Slow dynamics

Making now the further change of coordinates

Z=L~YZ=\tilde{L}Y

and computing

(L~Y)=L~Y+L~Y\displaystyle(\tilde{L}Y)^{\prime}=\tilde{L}Y^{\prime}+\tilde{L}^{\prime}Y =(L~A++L~)Y,\displaystyle=(\tilde{L}A_{+}+\tilde{L}^{\prime})Y,
=(L~A+R~+L~R~)Z,\displaystyle=(\tilde{L}A_{+}\tilde{R}+\tilde{L}^{\prime}\tilde{R})Z,

we find that we have converted (61) to a block-triangular system

(71) Z=A~Z=(λ(J+v+11θ++11Θ~)λ110f(v^)λλv+θ+11λΘ~11)Z,Z^{\prime}=\tilde{A}Z=\begin{pmatrix}\lambda(J+v_{+}{1\!\!1}\theta_{+}+{1\!\!1}\tilde{\Theta})&\lambda{1\!\!1}\\ 0&f(\hat{v})-\lambda-\lambda v_{+}\theta_{+}{1\!\!1}-\lambda\tilde{\Theta}{1\!\!1}\\ \end{pmatrix}Z,

related to the original eigenvalue system (34) by

(72) W=LZ,R:=R+R=(I0Θ1),L:=R1=(I0Θ1),W=LZ,\quad R:=R_{+}R=\begin{pmatrix}I&0\\ \Theta&1\end{pmatrix},\quad L:=R^{-1}=\begin{pmatrix}I&0\\ -\Theta&1\end{pmatrix},

where

(73) Θ=Θ~+v+θ+.\Theta=\tilde{\Theta}+v_{+}\theta_{+}.

Since it is triangular, (71) may be solved completely if we can solve the component systems associated with its diagonal blocks. The fast system

z=(f(v^)λλv+θ+11λΘ~11)zz^{\prime}=\Big{(}f(\hat{v})-\lambda-\lambda v_{+}\theta_{+}{1\!\!1}-\lambda\tilde{\Theta}{1\!\!1}\Big{)}z

associated to the lower righthand block features rapidly-varying coefficients. However, because it is scalar, it can be solved explicitly by exponentiation.

The slow system

(74) z=λ(J+v+11θ++11Θ~)zz^{\prime}=\lambda(J+v_{+}{1\!\!1}\theta_{+}+{1\!\!1}\tilde{\Theta})z

associated to the upper lefthand block, on the other hand, by (64), is an exponentially decaying perturbation of a constant-coefficient system

(75) z=λ(J+v+11θ+)zz^{\prime}=\lambda(J+v_{+}{1\!\!1}\theta_{+})z

that can be explicitly solved by exponentiation, and thus can be well-estimated by comparison with (75). A rigorous version of this statement is given by the conjugation lemma of [20]:

Proposition 4.3 ([20]).

Let M(x,λ)=M+(λ)+Θ(x,λ)M(x,\lambda)=M_{+}(\lambda)+\Theta(x,\lambda), with M+M_{+} continuous in λ\lambda and |Θ(x,λ)|Ceηx|\Theta(x,\lambda)|\leq Ce^{-\eta x}, for λ\lambda in some compact set Λ\Lambda. Then, there exists a globally invertible matrix P(x,λ)=I+Q(x,λ)P(x,\lambda)=I+Q(x,\lambda) such that the coordinate change z=Pvz=Pv converts the variable-coefficient ODE z=M(x,λ)zz^{\prime}=M(x,\lambda)z to a constant-coefficient equation

v=M+(λ)v,v^{\prime}=M_{+}(\lambda)v,

satisfying for any LL, 0<η^<η0<\hat{\eta}<\eta a uniform bound

(76) |Q(x,λ)|C(L,η^,η,max|(M+)ij|,dimM+)eη^xfor xL.|Q(x,\lambda)|\leq C(L,\hat{\eta},\eta,\max|(M_{+})_{ij}|,\dim M_{+})e^{-\hat{\eta}x}\quad\hbox{for $x\geq L$}.
Proof.

See [20, 27], or Appendix C, [12]. ∎

By Proposition 4.3, the solution operator for (74) is given by

(77) P(y,λ)eλ(J+v+11θ+(λ,v+))(xy)P(x,λ)1,P(y,\lambda)e^{\lambda(J+v_{+}{1\!\!1}\theta_{+}(\lambda,v_{+}))(x-y)}P(x,\lambda)^{-1},

where PP is a uniformly small perturbation of the identity for xLx\geq L and L>0L>0 sufficiently large.

5. Proof of the main theorems

With these preparations, we turn now to the proofs of the main theorems.

5.1. Boundary estimate

We begin by recalling the following estimates established in [12] on W~1+(L+δ)\widetilde{W}_{1}^{+}(L+\delta), that is, the value of the dual mode W~1+\widetilde{W}_{1}^{+} appearing in (42) at the boundary x=L+δx=L+\delta between regular and singular regions. For completeness, and because we shall need the details in further computations, we repeat the proof in full.

Lemma 5.1 ([12]).

For λ\lambda on any compact subset of eλ0\Re e\lambda\geq 0, and L>0L>0 sufficiently large, with W~1+\widetilde{W}_{1}^{+} normalized as in [8, 22, 3],

(78) |W~1+(L+δ)V~1|CeηL|\widetilde{W}_{1}^{+}(L+\delta)-\widetilde{V}_{1}|\leq Ce^{-\eta L}

as v+0v_{+}\to 0, uniformly in λ\lambda, where CC, η>0\eta>0 are independent of LL and

V~1:=(0,1,λ/μ)T\widetilde{V}_{1}:=(0,-1,\lambda/\mu)^{T}

is the limiting direction vector (53) appearing in the definition of Din0D^{0}_{\rm in}.

Corollary 5.2 ([12]).

Under the hypotheses of Lemma 5.1,

(79) |W~10+(L+δ)V~1|CeηL|\tilde{W}_{1}^{0+}(L+\delta)-\widetilde{V}_{1}|\leq Ce^{-\eta L}

and

(80) |W~1+(L+δ)W~10+(L+δ)|CeηL|\widetilde{W}^{+}_{1}(L+\delta)-\widetilde{W}^{0+}_{1}(L+\delta)|\leq Ce^{-\eta L}

as v+0v_{+}\to 0, uniformly in λ\lambda, where CC, η>0\eta>0 are independent of LL and W~10+\widetilde{W}_{1}^{0+} is the solution of the limiting adjoint eigenvalue system appearing in definition (52) of D0D^{0}.

Proof of Lemma 5.1.

First, make the independent coordinate change xxδx\to x-\delta normalizing the background wave to match the shock-wave case. Making the dependent coordinate-change

(81) Z~:=RW~,\tilde{Z}:=R^{*}\tilde{W},

RR as in (72), reduces the adjoint equation W~=AW~\tilde{W}^{\prime}=-A^{*}\tilde{W} to block lower-triangular form,

(82) Z~=A~Z~=\displaystyle\tilde{Z}^{\prime}=-\tilde{A}^{*}\tilde{Z}=
(λ¯(JT+v+11θ++11Θ~)0λ¯11Tf(v^)+λ¯+λ¯v+(θ+11+Θ~11))Z,\displaystyle\,\begin{pmatrix}-\bar{\lambda}(J^{T}+v_{+}{1\!\!1}\theta_{+}+{1\!\!1}\tilde{\Theta})^{*}&0\\ -\bar{\lambda}{1\!\!1}^{T}&-f(\hat{v})+\bar{\lambda}+\bar{\lambda}v_{+}(\theta_{+}{1\!\!1}+\tilde{\Theta}{1\!\!1})^{*}\\ \end{pmatrix}Z,

with “ ¯\bar{} ” denoting complex conjugate.

Denoting by V~1+\tilde{V}^{+}_{1} a suitably normalized element of the one-dimensional (slow) stable subspace of A~-\tilde{A}^{*}, we find readily (see [12] for further discussion) that, without loss of generality,

(83) V~1+(0,1,λ¯(γ+λ¯)1)T\tilde{V}^{+}_{1}\to(0,1,\bar{\lambda}(\gamma+\bar{\lambda})^{-1})^{T}

as v+0v_{+}\to 0, while the associated eigenvalue μ~1+0,\tilde{\mu}_{1}^{+}\to 0, uniformly for λ\lambda on an compact subset of eλ0\Re e\lambda\geq 0. The dual mode Z~1+=RW~1+\tilde{Z}_{1}^{+}=R^{*}\tilde{W}_{1}^{+} is uniquely determined by the property that it is asymptotic as x+x\to+\infty to the corresponding constant-coefficient solution eμ~1+V~1+e^{\tilde{\mu}_{1}^{+}}\tilde{V}_{1}^{+} (the standard normalization of [8, 22, 3]).

By lower block-triangular form (82), the equations for the slow variable z~T:=(Z~1,Z~2)\tilde{z}^{T}:=(\tilde{Z}_{1},\tilde{Z}_{2}) decouples as a slow system

(84) z~=(λ(J+v+11θ++11Θ~))z~\tilde{z}^{\prime}=-\Big{(}\lambda(J+v_{+}{1\!\!1}\theta_{+}+{1\!\!1}\tilde{\Theta})\Big{)}^{*}\tilde{z}

dual to (74), with solution operator

(85) P(x,λ)1eλ¯(J+v+11θ+))(xy)P(y,λ)P^{*}(x,\lambda)^{-1}e^{-\bar{\lambda}(J+v_{+}{1\!\!1}\theta_{+})^{*})(x-y)}P(y,\lambda)^{*}

dual to (77), i.e. (fixing y=Ly=L, say), solutions of general form

(86) z~(λ,x)=P(x,λ)1eλ¯(J+v+11θ+))(xy)v~,\tilde{z}(\lambda,x)=P^{*}(x,\lambda)^{-1}e^{-\bar{\lambda}(J+v_{+}{1\!\!1}\theta_{+})^{*})(x-y)}\tilde{v},

v~2\tilde{v}\in\mathbb{C}^{2} arbitrary.

Denoting by

Z~1+(L):=RW~1+(L),\tilde{Z}_{1}^{+}(L):=R^{*}\tilde{W}_{1}^{+}(L),

therefore, the unique (up to constant factor) decaying solution at ++\infty, and v~1+:=((V~1+)1,(V~1+)2)T\tilde{v}_{1}^{+}:=((\tilde{V}_{1}^{+})_{1},(\tilde{V}_{1}^{+})_{2})^{T}, we thus have evidently

z~1+(x,λ)=P(x,λ)1eλ¯(J+v+11θ+))xv~1+,\tilde{z}_{1}^{+}(x,\lambda)=P^{*}(x,\lambda)^{-1}e^{-\bar{\lambda}(J+v_{+}{1\!\!1}\theta_{+})^{*})x}\tilde{v}_{1}^{+},

which, as v+0v_{+}\to 0, is uniformly bounded by

(87) |z~1+(x,λ)|Ceϵx|\tilde{z}_{1}^{+}(x,\lambda)|\leq Ce^{\epsilon x}

for arbitrarily small ϵ>0\epsilon>0 and, by (83), converges for xx less than or equal to XδX-\delta for any fixed XX simply to

(88) limv+0z~1+(x,λ)=P(x,λ)1(0,1)T.\lim_{v_{+}\to 0}\tilde{z}_{1}^{+}(x,\lambda)=P^{*}(x,\lambda)^{-1}(0,1)^{T}.

Defining by q~:=(Z~1+)3\tilde{q}:=(\tilde{Z}_{1}^{+})_{3} the fast coordinate of Z~1+\tilde{Z}_{1}^{+}, we have, by (82),

q~+(f(v^)λ¯(λv+θ+11+λΘ~11))q~=λ¯11Tz~1+,\tilde{q}^{\prime}+\Big{(}f(\hat{v})-\bar{\lambda}-(\lambda v_{+}\theta_{+}{1\!\!1}+\lambda\tilde{\Theta}{1\!\!1})^{*}\Big{)}\tilde{q}=\bar{\lambda}{1\!\!1}^{T}\tilde{z}_{1}^{+},

whence, by Duhamel’s principle, any decaying solution is given by

q~(x,λ)=x+eyxa(z,λ,v+)𝑑zλ¯11Tz1+(y)𝑑y,\tilde{q}(x,\lambda)=\int_{x}^{+\infty}e^{\int_{y}^{x}a(z,\lambda,v_{+})dz}\bar{\lambda}{1\!\!1}^{T}z_{1}^{+}(y)\,dy,

where

a(y,λ,v+):=(f(v^)λ¯(λv+θ+11+λΘ~11)).a(y,\lambda,v_{+}):=-\Big{(}f(\hat{v})-\bar{\lambda}-(\lambda v_{+}\theta_{+}{1\!\!1}+\lambda\tilde{\Theta}{1\!\!1})^{*}\Big{)}.

Recalling, for eλ0\Re e\lambda\geq 0, that ea1/2\Re ea\geq 1/2, combining (87) and (88), and noting that aa converges uniformly on yYy\leq Y as v+0v_{+}\to 0 for any Y>0Y>0 to

a0(y,λ)\displaystyle a_{0}(y,\lambda) :=f0(v^)+λ¯+(λΘ~011)\displaystyle=-f_{0}(\hat{v})+\bar{\lambda}+(\lambda\tilde{\Theta}_{0}{1\!\!1})^{*}
=(1+λ¯)+O(eηy)\displaystyle=(1+\bar{\lambda})+O(e^{-\eta y})

we obtain by the Lebesgue Dominated Convergence Theorem that

q~(L,λ)\displaystyle\tilde{q}(L,\lambda) L+eyLa0(z,λ)𝑑zλ¯11T(0,1)T𝑑y\displaystyle\to\int_{L}^{+\infty}e^{\int_{y}^{L}a_{0}(z,\lambda)dz}\bar{\lambda}{1\!\!1}^{T}(0,1)^{T}\,dy
=λ¯L+e(1+λ¯)(Ly)+yLO(eηz)𝑑z𝑑y\displaystyle=\bar{\lambda}\int_{L}^{+\infty}e^{(1+\bar{\lambda})(L-y)+\int_{y}^{L}O(e^{-\eta z})dz}\,dy
=λ¯(1+λ¯)1(1+O(eηL)).\displaystyle=\bar{\lambda}(1+\bar{\lambda})^{-1}(1+O(e^{-\eta L})).

Recalling, finally, (88), and the fact that

|PId|(L,λ),|RId|(L,λ)CeηL|P-Id|(L,\lambda),\,|R-Id|(L,\lambda)\leq Ce^{-\eta L}

for v+v_{+} sufficiently small, we obtain (78) as claimed. ∎

Proof of Corollary 5.2.

Again, make the coordinate change xxδx\to x-\delta normalizing the background wave to match the shock-wave case. Applying Proposition 4.3 to the limiting adjoint system

W~=(A0)W~=(000λ¯00111+λ¯)W~+O(eηx)W~,\tilde{W}^{\prime}=-(A^{0})^{*}\tilde{W}=\begin{pmatrix}0&0&0\\ -\bar{\lambda}&0&0\\ -1&-1&1+\bar{\lambda}\end{pmatrix}\tilde{W}+O(e^{-\eta x})\tilde{W},

we find that, up to an Id+O(eηx)Id+O(e^{-\eta x}) coordinate change, W~10+(x)\tilde{W}_{1}^{0+}(x) is given by the exact solution W~V~1\tilde{W}\equiv\tilde{V}_{1} of the limiting, constant-coefficient system

W~=(A0)W~=(000λ¯00111+λ¯)W~.\tilde{W}^{\prime}=-(A^{0})^{*}\tilde{W}=\begin{pmatrix}0&0&0\\ -\bar{\lambda}&0&0\\ -1&-1&1+\bar{\lambda}\end{pmatrix}\tilde{W}.

This yields immediately (79), which, together with (78), yields (80). ∎

5.2. Convergence to D0D^{0}

The rest of our analysis is standard.

Lemma 5.3.

On xLδx\leq L-\delta for any fixed L>0L>0, there exists a coordinate-change W=TZW=TZ conjugating (34) to the limiting equations (50), T=T(x,λ,v+)T=T(x,\lambda,v_{+}), satisfying a uniform bound

(89) |TId|C(L)v+|T-Id|\leq C(L)v_{+}

for all v+>0v_{+}>0 sufficiently small.

Proof.

Make the coordinate change xxδx\to x-\delta normalizing the background profile. For x(,0]x\in(-\infty,0], this is a consequence of the Convergence Lemma of [22], a variation on Proposition 4.3, together with uniform convergence of the profile and eigenvalue equations. For x[0,L]x\in[0,L], it is essentially continuous dependence; more precisely, observing that |AA0|C1(L)v+|A-A^{0}|\leq C_{1}(L)v_{+} for x[0,L]x\in[0,L], setting S:=TIdS:=T-Id, and writing the homological equation expressing conjugacy of (34) and (50), we obtain

S(ASSA0)=(AA0),S^{\prime}-(AS-SA^{0})=(A-A^{0}),

which, considered as an inhomogeneous linear matrix-valued equation, yields an exponential growth bound

S(x)eCx(S(0)+C1C1(L)v+)S(x)\leq e^{Cx}(S(0)+C^{-1}C_{1}(L)v_{+})

for some C>0C>0, giving the result. ∎

Proof of Theorem 3.2: inflow case.

Make the coordinate change xxδx\to x-\delta normalizing the background profile. Lemma 5.3, together with convergence as v+0v_{+}\to 0 of the unstable subspace of AA_{-} to the unstable subspace of A0A^{0}_{-} at the same rate O(v+)O(v_{+}) (as follows by spectral separation of the unstable eigenvalue of A0A^{0} and standard matrix perturbation theory) yields

(90) |W10(0,λ)W100(0,λ)|C(L)v+.|W_{1}^{0}(0,\lambda)-W_{1}^{00}(0,\lambda)|\leq C(L)v_{+}.

Likewise, Lemma 5.3 gives

(91) |W~1+(0,λ)W~10+(0,λ)|\displaystyle|\tilde{W}_{1}^{+}(0,\lambda)-\tilde{W}_{1}^{0+}(0,\lambda)| C(L)v+|W~1+(0,λ)|\displaystyle\leq C(L)v_{+}|\tilde{W}_{1}^{+}(0,\lambda)|
+|S0L0||W~1+(L,λ)W~10+(L,λ)|,\displaystyle\quad+|S_{0}^{L\to 0}||\tilde{W}_{1}^{+}(L,\lambda)-\tilde{W}_{1}^{0+}(L,\lambda)|,

where S0yxS_{0}^{y\to x} denotes the solution operator of the limiting adjoint eigenvalue equation W~=(A0)W~\tilde{W}^{\prime}=-(A^{0})^{*}\tilde{W}. Applying Proposition 4.3 to the limiting system, we obtain

|S0L0|C2eA+0LC2L|λ||S_{0}^{L\to 0}|\leq C_{2}e^{-A^{0}_{+}L}\leq C_{2}L|\lambda|

by direct computation of eA+0Le^{-A^{0}_{+}L}, where C2C_{2} is independent of L>0L>0. Together with (80) and (91), this gives

|W~1+(0,λ)W~10+(0,λ)|C(L)v+|W~1+(0,λ)|+L|λ|C2CeηL,|\tilde{W}_{1}^{+}(0,\lambda)-\tilde{W}_{1}^{0+}(0,\lambda)|\leq C(L)v_{+}|\tilde{W}_{1}^{+}(0,\lambda)|+L|\lambda|C_{2}Ce^{-\eta L},

hence, for |λ||\lambda| bounded,

(92) |W~1+(0,λ)W~10+(0,λ)|\displaystyle|\tilde{W}_{1}^{+}(0,\lambda)-\tilde{W}_{1}^{0+}(0,\lambda)| C3(L)v+|W~10+(0,λ)|+LC4eηL\displaystyle\leq C_{3}(L)v_{+}|\tilde{W}_{1}^{0+}(0,\lambda)|+LC_{4}e^{-\eta L}
C5(L)v++LC4eηL.\displaystyle\leq C_{5}(L)v_{+}+LC_{4}e^{-\eta L}.

Taking first LL\to\infty and then v+0v_{+}\to 0, we obtain therefore convergence of W1+(0,λ)W^{+}_{1}(0,\lambda) and W~1+(0,λ)\tilde{W}_{1}^{+}(0,\lambda) to W10+(0,λ)W^{0+}_{1}(0,\lambda) and W~10+(0,λ)\tilde{W}_{1}^{0+}(0,\lambda), yielding the result by definitions (42) and (52). ∎

Proof of Theorem 3.2: outflow case.

Straightforward, following the previous argument in the regular region only. ∎

5.3. Convergence to the shock case

Proof of Theorem 3.4: inflow case.

First make the coordinate change xxδx\to x-\delta normalizing the background profile location to that of the shock wave case, where δ+\delta\to+\infty as v01v_{0}\to 1. By standard duality properties,

Din=W10W~1+|x=x0D_{\rm in}=W^{0}_{1}\cdot\tilde{W}_{1}^{+}|_{x=x_{0}}

is independent of x0x_{0}, so we may evaluate at x=0x=0 as in the shock case. Denote by 𝒲1{\mathcal{W}}^{-}_{1}, 𝒲~1+\tilde{\mathcal{W}}_{1}^{+} the corresponding modes in the shock case, and

𝒟=𝒲1𝒲~1+|x=0\mathcal{D}=\mathcal{W}^{-}_{1}\cdot\tilde{\mathcal{W}}_{1}^{+}|_{x=0}

the resulting Evans function.

Noting that 𝒲~+1\tilde{\mathcal{W}}^{1}_{+} and W~+1\tilde{W}^{1}_{+} are asymptotic to the unique stable mode at ++\infty of the (same) adjoint eigenvalue equation, but with translated decay rates, we see immediately that 𝒲~1+=W~+1eδμ~1+.\tilde{\mathcal{W}}^{+}_{1}=\tilde{W}^{1}_{+}e^{-\delta\tilde{\mu}_{1}^{+}}. W10W^{0}_{1} on the other hand is initialized at x=δx=-\delta (in the new coordinates x~=xδ\tilde{x}=x-\delta) as

W10(δ)=(1,0,0)T,W^{0}_{1}(-\delta)=(1,0,0)^{T},

whereas 𝒲1{\mathcal{W}}^{-}_{1} is the unique unstable mode at -\infty decaying as eμ1xV1e^{\mu_{1}^{-}x}V_{1}^{-}, where V1V_{1}^{-} is the unstable right eigenvector of

A=(0λλ00λ11f(1)λ).A_{-}=\begin{pmatrix}0&\lambda&\lambda\\ 0&0&\lambda\\ 1&1&f(1)-\lambda\\ \end{pmatrix}.

Denote by V~1\tilde{V}^{-}_{1} the associated dual unstable left eigenvector and

Π1:=V1(V~1)T\Pi^{-}_{1}:=V^{-}_{1}(\tilde{V}^{-}_{1})^{T}

the eigenprojection onto the stable vector V1V^{-}_{1}. By direct computation,

V~1=c(λ)(1,1+λ/μ1,μ1)T,c(λ)0,\tilde{V}^{-}_{1}=c(\lambda)(1,1+\lambda/\mu^{-}_{1},\mu^{-}_{1})^{T},\quad c(\lambda)\neq 0,

yielding

(93) Π1W10=:β(λ)=c(λ)0\Pi^{-}_{1}W^{0}_{1}=:\beta(\lambda)=c(\lambda)\neq 0

for λ0\Re\lambda\geq 0, on which μ1>0\Re\mu^{-}_{1}>0.

Once we know (93), we may finish by a standard argument, concluding by exponential attraction in the positive xx-direction of the unstable mode that other modes decay exponentially as x0x\to 0, leaving the contribution from β(λ)V1\beta(\lambda)V_{1}^{-} plus a negligible O(eηδ)O(e^{-\eta\delta}) error, η>0\eta>0, from which we may conclude that 𝒲1|x=0β1eδμ1W10|x=0.{\mathcal{W}}^{-}_{1}|_{x=0}\sim\beta^{-1}e^{-\delta\mu_{1}^{-}}W^{0}_{1}|_{x=0}. Collecting information, we find that

𝒟(λ)=β(λ)1eδ(μ¯1+μ~1+)(λ)Din(λ)+O(eηδ),\mathcal{D}(\lambda)=\beta(\lambda)^{-1}e^{-\delta(\bar{\mu}_{1}^{-}+\tilde{\mu}_{1}^{+})(\lambda)}D_{\rm in}(\lambda)+O(e^{-\eta\delta}),

η>0\eta>0, yielding the claimed convergence as v01v_{0}\to 1, δ+\delta\to+\infty. ∎

Proof of Theorem 3.4: outflow case.

For λ\lambda uniformly bounded from zero, W~10=(0,1,λ¯/(λ¯v^(0)))T\tilde{W}^{0}_{1}=(0,-1,-\bar{\lambda}/(\bar{\lambda}-\hat{v}^{\prime}(0)))^{T} converges uniformly as v00v_{0}\to 0 to

(0,1,1)T,(0,-1,-1)^{T},

whereas the shock Evans function 𝒟\mathcal{D} is initiated by 𝒲~1+\tilde{\mathcal{W}}^{+}_{1} proportional to

𝒱~1+=(0,1,1λ)T\tilde{\mathcal{V}}^{+}_{1}=(0,-1,-1-\lambda)^{T}

agreeing in the first two coordinates with W~10\tilde{W}^{0}_{1}. By the boundary-layer analysis of Section 5.1, the backward (i.e., decreasing xx) evolution of the adjoint eigenvalue ODE reduces in the asymptotic limit v+0v_{+}\to 0 (forced by v00v_{0}\to 0) to a decoupled slow flow

w~=(0λ¯00)w,w2\tilde{w}^{\prime}=\begin{pmatrix}0&\bar{\lambda}\\ 0&0\end{pmatrix}w,\qquad w\in\mathbb{C}^{2}

in the first two coordinates, driving an exponentially slaved fast flow in the third coordinate. From this, we may conclude that solutions agreeing in the first two coordinates converge exponentially as xx decreases. Performing an appropriate normalization, as in the inflow case just treated, we thus obtain the result. We omit the details, which follow what has already been done in previous cases. ∎

5.4. The stability index

Following [25, 10], we note that Din(λ)D_{\rm in}(\lambda) is real for real λ\lambda, and nonvanishing for real λ\lambda sufficiently large, hence sgnDin(+)\rm sgnD_{\rm in}(+\infty) is well-defined and constant on the entire (connected) parameter range. The number of roots of DinD_{\rm in} on λ0\Re\lambda\geq 0 is therefore even or odd depending on the stability index

sgn[Din(0)Din(+)].\rm sgn[D_{\rm in}(0)D_{\rm in}(+\infty)].

Similarly, recalling that Dout(0)0D_{\rm out}(0)\equiv 0, we find that the number of roots of DoutD_{\rm out} on λ0\Re\lambda\geq 0 is even or odd depending on

sgn[Dout(0)Dout(+)].\rm sgn[D_{\rm out}^{\prime}(0)D_{\rm out}(+\infty)].
Proof of Lemma 3.5: inflow case.

Examining the adjoint equation at λ=0\lambda=0,

W~=AW~,A(x,0)=(00v^00v^00f(v^)),\tilde{W}^{\prime}=-A^{*}\tilde{W},\qquad-A^{*}(x,0)=\begin{pmatrix}0&0&-\hat{v}\\ 0&0&-\hat{v}\\ 0&0&-f(\hat{v})\\ \end{pmatrix},

f(v+)>0-f(v_{+})>0, we find by explicit computation that the only solutions that are bounded as x+x\to+\infty are the constant solutions W~(a,b,0)T\tilde{W}\equiv(a,b,0)^{T}. Taking the limit V1+(0)V^{+}_{1}(0) as λ0+\lambda\to 0^{+} along the real axis of the unique stable eigenvector of A+(λ)-A^{*}_{+}(\lambda), we find (see, e.g., [27]) that it lies in the direction (1,2+aj+,0)T(1,2+a_{j}^{+},0)^{T}, where aj+>0a_{j}^{+}>0 is the positive characteristic speed of the hyperbolic convection matrix (11h(v+)/v+γ+11)\begin{pmatrix}1&-1\\ -h(v_{+})/v_{+}^{\gamma+1}&1\\ \end{pmatrix}, i.e., V1=c(v0,v+)(1,2+aj+,0)TV_{1}^{-}=c(v_{0},v_{+})(1,2+a_{j}^{+},0)^{T}, c(v0,v+)0c(v_{0},v_{+})\neq 0. Thus, Din(0)=V1(1,0,0)T=c¯(v0,v+)0D_{\rm in}(0)=V_{1}^{-}\cdot(1,0,0)^{T}=\bar{c}(v_{0},v_{+})\neq 0 as claimed. On the other hand, the same computation carried out for Din0(0)D^{0}_{\rm in}(0) yields Din0(0)0D^{0}_{\rm in}(0)\equiv 0. (Note: ajv+1/2+a_{j}\sim v_{+}^{-1/2}\to+\infty as v+0v_{+}\to 0.) Similarly, as v00v_{0}\to 0,

Din0(λ)(1,0,0)T(0,1,)T0.D^{0}_{\rm in}(\lambda)\to(1,0,0)^{T}\cdot(0,1,*)^{T}\equiv 0.

Finally, note Din(0)0D_{\rm in}(0)\neq 0 implies that the stability index, since continuously varying so long as it doesn’t vanish and taking discrete values ±1\pm 1, must be constant on the connected set of parameter values. Since inflow boundary layers are known to be stable on some part of the parameter regime by energy estimates (Theorem 3.4), we may conclude that the stability index is identically one and therefore there are an even number of unstable roots for all 1>v0v+>01>v_{0}\geq v_{+}>0.

To establish that (Din0)(0)0(D^{0}_{\rm in})^{\prime}(0)\neq 0, we compute

Din0(0)=(λW100)W~10++W100(λW~10+).D^{0}_{\rm in}\;{}^{\prime}(0)=(\partial_{\lambda}W_{1}^{00})\cdot\widetilde{W}_{1}^{0+}+W_{1}^{00}\cdot(\partial_{\lambda}\widetilde{W}_{1}^{0+}).

Since W100(1,0,0)W_{1}^{00}\equiv(1,0,0) is independent of λ\lambda, we need only show that the first component of λW~10+\partial_{\lambda}\widetilde{W}_{1}^{0+} is nonzero. Note that λW10+\partial_{\lambda}W_{1}^{0+} solves the limiting adjoint variational equations

(λW~10+)(0)+(A0)(x,0)λW~10+=b(x)(\partial_{\lambda}\widetilde{W}_{1}^{0+})^{\prime}(0)+(A^{0})^{*}(x,0)\partial_{\lambda}\widetilde{W}_{1}^{0+}=b(x)

with

(A0)(x,0)=~(00v^000v^000f0(v^0)),b(x)=(0v^0+u^0v^0v^013v^0v^0v^01).(A^{0})^{*}(x,0)\tilde{=}\begin{pmatrix}0&0&\hat{v}^{0}\\ 0&0&\hat{v}^{0}\\ 0&0&f^{0}(\hat{v}^{0})\\ \end{pmatrix},\qquad b(x)=\begin{pmatrix}0\\ \hat{v}^{0}+\hat{u}^{0}-\frac{\hat{v}^{0}\,{}^{\prime}}{\hat{v}^{0}}-1\\ 3\hat{v}^{0}-\frac{\hat{v}^{0}\,{}^{\prime}}{\hat{v}^{0}}-1\end{pmatrix}.

By (53), and the fact that λμ~10+0\partial_{\lambda}\tilde{\mu}_{1}^{0+}\equiv 0, λW~10+(x)\partial_{\lambda}\widetilde{W}_{1}^{0+}(x) is chosen so that asymptotically at x=+x=+\infty it lies in the direction of λV~1=(0,0,1)\partial_{\lambda}\tilde{V}_{1}=(0,0,-1). Set λW~10+=(λW~1, 10+,λW~1, 20+,λW~1, 30+)T\partial_{\lambda}\widetilde{W}_{1}^{0+}=(\partial_{\lambda}\widetilde{W}_{1,\;1}^{0+},\partial_{\lambda}\widetilde{W}_{1,\;2}^{0+},\partial_{\lambda}\widetilde{W}_{1,\;3}^{0+})^{T}. Then the third component solves

(λW~1, 30+)+v^0λW~1, 30+=b3:=3v^0v^0v^01(\partial_{\lambda}\widetilde{W}_{1,\;3}^{0+})^{\prime}+\hat{v}^{0}\partial_{\lambda}\widetilde{W}_{1,\;3}^{0+}=b_{3}:=3\hat{v}^{0}-\frac{\hat{v}^{0}\,{}^{\prime}}{\hat{v}^{0}}-1

which has solution

λW~1, 30+(x)=λW~1, 30+(+)φ(x)φ(x)xφ1(y)b3(y)𝑑y\partial_{\lambda}\widetilde{W}_{1,\;3}^{0+}(x)=\partial_{\lambda}\widetilde{W}_{1,\;3}^{0+}(+\infty)\varphi(x)-\varphi(x)\int_{x}^{\infty}\varphi^{-1}(y)b_{3}(y)dy

where

φ(x)=exv^0(y)𝑑y.\varphi(x)=e^{\int_{x}^{\infty}\hat{v}^{0}(y)dy}.

Integrating the equation for the first component of λW~10+\partial_{\lambda}\widetilde{W}_{1}^{0+} yields

λW~1, 10+(x)=λW~1, 10+(+)+xλW~1, 30+(y)dy=λW~1, 10+(+)+λW~1, 30+(+)xv^0(y)φ(y)𝑑yx(φ(y)yφ1(z)b3(z)𝑑z)𝑑y.\displaystyle\begin{split}\partial_{\lambda}\widetilde{W}_{1,\;1}^{0+}(x)&=\partial_{\lambda}\widetilde{W}_{1,\;1}^{0+}(+\infty)+\int_{x}^{\infty}\partial_{\lambda}\widetilde{W}_{1,\;3}^{0+}(y)dy\\ &=\partial_{\lambda}\widetilde{W}_{1,\;1}^{0+}(+\infty)+\partial_{\lambda}\widetilde{W}_{1,\;3}^{0+}(+\infty)\int_{x}^{\infty}\hat{v}^{0}(y)\varphi(y)dy\\ &-\int_{x}^{\infty}\left(\varphi(y)\int_{y}^{\infty}\varphi^{-1}(z)b_{3}(z)dz\right)dy.\end{split}

Using the condition λW~10+(+)=(0,0,1)T\partial_{\lambda}\widetilde{W}_{1}^{0+}(+\infty)=(0,0,-1)^{T} we have λW~1, 10+(+)=0,λW~1, 30+(+)=1\partial_{\lambda}\widetilde{W}_{1,\;1}^{0+}(+\infty)=0,\partial_{\lambda}\widetilde{W}_{1,\;3}^{0+}(+\infty)=-1 so that

λW~1, 10+|x=0=0v^0(y)φ(y)𝑑yx(φ(y)yφ1(z)b3𝑑z)𝑑y.\partial_{\lambda}\widetilde{W}_{1,\;1}^{0+}|_{x=0}=-\int_{0}^{\infty}\hat{v}^{0}(y)\varphi(y)dy-\int_{x}^{\infty}\left(\varphi(y)\int_{y}^{\infty}\varphi^{-1}(z)b_{3}dz\right)dy.

Finally, note that by using (49) we have b3=1tanh(xδ2)b_{3}=1-\tanh(\frac{x-\delta}{2}) so that for all x0x\geq 0, φ(x),b3(x)0\varphi(x),b_{3}(x)\geq 0 which implies

Din0(0)=λW~1, 10+|x=00.D^{0}_{\rm in}\,{}^{\prime}(0)=\partial_{\lambda}\widetilde{W}_{1,\;1}^{0+}|_{x=0}\neq 0.

Remark 5.4.

The result Din(0)0D_{\rm in}(0)\neq 0 at first sight appears to contradict that of Theorem 3.3, since 𝒟(0)=0\mathcal{D}(0)=0 for the shock wave case. This apparent contradiction is explained by the fact that the normalizing factor eδ(μ¯1+μ~1+)e^{-\delta(\bar{\mu}_{1}^{-}+\tilde{\mu}_{1}^{+})} is exponentially decaying in δ\delta for λ=0\lambda=0, since μ~1+(0)=0\tilde{\mu}_{1}^{+}(0)=0, while μ1>0\Re\mu^{-}_{1}>0. Recalling that δ+\delta\to+\infty as v01v_{0}\to 1, we recover the result of Theorem 3.3.

Proof of Lemma 3.5: outflow case.

Similarly, we compute

Dout(0)=λW1W~10,D^{\prime}_{\rm out}(0)=\partial\lambda W^{-}_{1}\cdot\tilde{W}^{0}_{1},

where λW1|λ=0\partial\lambda W^{-}_{1}|_{\lambda=0} satisfies the variational equation LλU1(0)=U1=U^L\partial_{\lambda}U^{-}_{1}(0)=U^{-}_{1}=\hat{U}^{\prime}, or, written as a first-order system,

(λW1)A(x,0)λW1=(u^xv^xv^x),A(x,0)=(000000v^v^f(v^)),(\partial\lambda W^{-}_{1})^{\prime}-A(x,0)\partial\lambda W^{-}_{1}=\begin{pmatrix}\hat{u}_{x}\\ \hat{v}_{x}\\ -\hat{v}_{x}\end{pmatrix},\qquad A(x,0)=\begin{pmatrix}0&0&0\\ 0&0&0\\ \hat{v}&\hat{v}&f(\hat{v})\\ \end{pmatrix},

which may be solved exactly for the unique solution decaying at -\infty of

W1(0)=(00v^),(λW1)(0)=(u^uv^v).W^{-}_{1}(0)=\begin{pmatrix}0\\ 0\\ \hat{v}^{\prime}\end{pmatrix},\qquad(\partial\lambda W^{-}_{1})(0)=\begin{pmatrix}\hat{u}-u_{-}\\ \hat{v}-v_{-}\\ *\end{pmatrix}.

Recalling from (47) that W~10(λ)=(0,1,λ/(λv^(0)))T\widetilde{W}^{0}_{1}(\lambda)=(0,-1,-\lambda/(\lambda-\hat{v}^{\prime}(0)))^{T}, hence

W~10(0)=(0,1,0)T,λW~10(0)=(0,0,1/v^(0))T,\widetilde{W}^{0}_{1}(0)=(0,-1,0)^{T},\qquad\partial_{\lambda}\widetilde{W}^{0}_{1}(0)=(0,0,1/\hat{v}^{\prime}(0))^{T},

we thus find that

Dout(0)\displaystyle D_{\rm out}^{\prime}(0) =λW1(0)W~10(0)+W1(0)λW~10(0)\displaystyle=\partial_{\lambda}W^{-}_{1}(0)\cdot\widetilde{W}^{0}_{1}(0)+W^{-}_{1}(0)\cdot\partial_{\lambda}\widetilde{W}^{0}_{1}(0)
=(v^(0)1)+1=2v00\displaystyle=-(\hat{v}(0)-1)+1=2-v_{0}\neq 0

as claimed. The proof that (Dout0)(0)0(D^{0}_{\rm out})^{\prime}(0)\neq 0 goes similarly.

Finally, as in the proof of the inflow case, we note that nonvanishing implies that the stability index is constant across the entire (connected) parameter range, hence we may conclude that it is identically one by existence of a stable case (Corollary 3.9), and therefore that the number of nonzero unstable roots is even, as claimed. ∎

5.5. Stability in the shock limit

Proof of Corollary 3.9: inflow case.

By Proposition 3.6 we find that DinD_{\rm in} has at most a single zero in λ0\Re\lambda\geq 0. However, by our stability index results, Theorem 3.5, the number of eigenvalues in λ0\Re\lambda\geq 0 is even. Thus, it must be zero, giving the result. ∎

Proof of Corollary 3.9: outflow case.

By Theorem 3.3, DoutD_{\rm out}, suitably renormalized, converges as v00v_{0}\to 0 to the Evans function for the (unintegrated) shock wave case. But, the shock Evans function by the results of [3, 12] has just a single zero at λ=0\lambda=0 on λ0\Re\lambda\geq 0, already accounted for in DoutD_{\rm out} by the spurious root at λ=0\lambda=0 introduced by recoordinatization to “good unknown”. ∎

5.6. Stability for small v0v_{0}

Finally, we treat the remaining, “corner case” as v+v_{+}, v0v_{0} simultaneously approach zero. The fact (Lemma 3.5) that

limv00limv+0Din(λ)0\lim_{v_{0}\to 0}\lim_{v_{+}\to 0}D_{\rm in}(\lambda)\equiv 0

shows that this limit is quite delicate; indeed, this is the most delicate part of our analysis.

Proof of Theorem 3.4: inflow case.

Consider again the adjoint system

W~=A(x,λ)W~,A(x,λ)=~(00v^λ¯0v^λ¯λ¯f(v^)λ¯).\tilde{W}^{\prime}=-A^{*}(x,\lambda)\tilde{W},\qquad A^{*}(x,\lambda)\tilde{=}\begin{pmatrix}0&0&\hat{v}\\ \bar{\lambda}&0&\hat{v}\\ \bar{\lambda}&\bar{\lambda}&f(\hat{v})-\bar{\lambda}\\ \end{pmatrix}.

By the boundary analysis of Section 5.1,

W~=(α,1,αμ~λ¯(α+1)f(v^)+λ¯)T+O(eη|xδ|),\tilde{W}=\Big{(}\alpha,1,\frac{\alpha\tilde{\mu}-\bar{\lambda}(\alpha+1)}{-f(\hat{v})+\bar{\lambda}}\Big{)}^{T}+O(e^{-\eta|x-\delta|}),

where α:=μ~+μ~++λ¯\alpha:=\frac{\tilde{\mu}_{+}}{\tilde{\mu}_{+}+\bar{\lambda}}, and μ~\tilde{\mu} is the unique stable eigenvalue of A+A^{*}_{+}, satisfying (by matrix perturbation calculation)

μ~=λ¯(v+1/2+O(v+))\tilde{\mu}=\bar{\lambda}(v_{+}^{1/2}+O(v_{+}))

and thus α=v+1/2+O(v+)\alpha=v_{+}^{1/2}+O(v_{+}) as v00v_{0}\to 0 (hence v+0v_{+}\to 0) on bounded subsets of λ0\Re\lambda\geq 0. Combining these expansions, we have

W~1(+)=v+1/2(1+o(1)),W~3=λ¯f(v^)+λ¯(1+o(1))\tilde{W}_{1}(+\infty)=v_{+}^{1/2}(1+o(1)),\qquad\tilde{W}_{3}=\frac{-\bar{\lambda}}{-f(\hat{v})+\bar{\lambda}}(1+o(1))

for v0v_{0} sufficiently small.

From the W~1\tilde{W}_{1} equation W~=v^W~3\tilde{W}^{\prime}=\hat{v}\tilde{W}_{3}, we thus obtain

W~1(0)\displaystyle\tilde{W}_{1}(0) =W~1(+)0+v^W~3(y)𝑑y\displaystyle=\tilde{W}_{1}(+\infty)-\int_{0}^{+\infty}\hat{v}\tilde{W}_{3}(y)\,dy
=(1+o(1))×(v+1/2+0+λ¯v^f(v^)+λ¯(y)𝑑y).\displaystyle=(1+o(1))\times\Big{(}v_{+}^{1/2}+\int_{0}^{+\infty}\frac{\bar{\lambda}\hat{v}}{-f(\hat{v})+\bar{\lambda}}(y)\,dy\Big{)}.

Observing, finally, that, for λ0\Re\lambda\geq 0, the ratio of real to imaginary parts of λ¯v^f(v^)+λ¯(y)\frac{\bar{\lambda}\hat{v}}{-f(\hat{v})+\bar{\lambda}}(y) is uniformly positive, we find that W~1(0)0\Re\tilde{W}_{1}(0)\neq 0 for v0v_{0} sufficiently small, which yields nonvanishing of Din(λ)D_{\rm in}(\lambda) on λ0\Re\lambda\geq 0 as claimed. ∎

6. Numerical computations

In this section, we show, through a systematic numerical Evans function study, that there are no unstable eigenvalues for

(γ,v+)[1,3]×(0,1],(\gamma,v_{+})\in[1,3]\times(0,1],

in either inflow or outflow cases. As defined in Section 2.6, the Evans function is analytic in the right-half plane and reports a value of zero precisely at the eigenvalues of the linearized operator (20). Hence we can use the argument principle to determine if there are any unstable eigenvalues for this system. Our approach closely follows that of [3, 12] for the shock case with only two major differences. First, our shooting algorithm is only one sided as we have the boundary conditions (41) and (47) for the inflow and outflow cases, respectfully. Second, we “correct” for the displacement in the boundary layer when v01v_{0}\approx 1 in the inflow case and v00v_{0}\approx 0 in the outflow case so that the Evans function converges to the shock case as studied in [3, 12] (see discussion in Section 6.3).

Refer to captionRefer to caption(a)(b)Refer to captionRefer to caption(c)(d)\begin{array}[]{cc}\includegraphics[width=182.09746pt,height=128.0374pt]{inflow1}&\includegraphics[width=182.09746pt,height=128.0374pt]{inflow2}\\ \mbox{\bf(a)}&\mbox{\bf(b)}\\ \includegraphics[width=163.60333pt]{inflow3}&\includegraphics[width=159.3356pt]{inflow4}\\ \mbox{\bf(c)}&\mbox{\bf(d)}\end{array}

Figure 1. Typical examples of the inflow case, showing convergence to the limiting Evans function as v+0v_{+}\to 0 for a monatomic gas, γ=5/3\gamma=5/3, with (a)(a) v0=0.1v_{0}=0.1, (b)(b) v0=0.2v_{0}=0.2, (c)(c) v0=0.4v_{0}=0.4, and (d)(d) v0=0.7v_{0}=0.7. The contours depicted, going from inner to outer, are images of the semicircle ϕ\phi under DD for v+=1e2,1e3,1e4,1e5,1e6v_{+}=1e\!-\!2,1e\!-\!3,1e\!-\!4,1e\!-\!5,1e\!-\!6, with the outer-most contour given by the image of ϕ\phi under D0D^{0}, that is, when v+=0v_{+}=0. Each contour consists of 6060 points in λ\lambda.

The profiles were generated using Matlab’s bvp4c routine, which is an adaptive Lobatto quadrature scheme. The shooting portion of the Evans function computation was performed using Matlab’s ode45 package, which is the standard 4th order adaptive Runge-Kutta-Fehlberg method (RKF45). The error tolerances for both the profiles and the shooting were set to AbsTol=1e-6 and RelTol=1e-8. We remark that Kato’s ODE (see Section 2.6 and [15, 13] for details) is used to analytically choose the initial eigenbasis for the stable/unstable manifolds at the numerical values of infinity at L=±18L=\pm 18. Finally in Section 6.4, we carry out a numerical convergence study similar to that in [3].

Refer to captionRefer to caption(a)(b)Refer to captionRefer to caption(c)(d)\begin{array}[]{cc}\includegraphics[width=163.60333pt]{outflow1}&\includegraphics[width=163.60333pt]{outflow2}\\ \mbox{\bf(a)}&\mbox{\bf(b)}\\ \includegraphics[width=163.60333pt]{outflow3}&\includegraphics[width=150.79968pt]{outflow4}\\ \mbox{\bf(c)}&\mbox{\bf(d)}\end{array}

Figure 2. Typical examples of the outflow case, showing convergence to the limiting Evans function as v+0v_{+}\to 0 for a monatomic gas, γ=5/3\gamma=5/3, with (a)(a) v0=0.2v_{0}=0.2, (b)(b) v0=0.4v_{0}=0.4, (c)(c) v0=0.6v_{0}=0.6, and (d)(d) v0=0.8v_{0}=0.8. The contours depicted are images of the semicircle ϕ\phi under DD for v+=1e2,1e3,1e4,1e5,1e6v_{+}=1e\!-\!2,1e\!-\!3,1e\!-\!4,1e\!-\!5,1e\!-\!6, and the limiting case v+=0v_{+}=0. Interestingly the contours are essentially (visually) indistinguishable in this parameter range. Each contour consists of 6060 points in λ\lambda

6.1. Winding number computations

The high-frequency estimates in Proposition 2.3 restrict the set of admissible unstable eigenvalues to a fixed compact triangle Λ\Lambda in the right-half plane (see (31) and (32) for the inflow and outflow cases, respectively). We reiterate the remarkable property that Λ\Lambda does not depend on the choice of v+v_{+} or v0v_{0}. Hence, to demonstrate stability for a given γ\gamma, v+v_{+} and v0v_{0}, it suffices to show that the winding number of the Evans function along a contour containing Λ\Lambda is zero. Note that in our region of interest, γ[1,3]\gamma\in[1,3], the semi-circular contour given by

ϕ:=({λe0}{λ|λ|10}),\phi:=\partial(\{\lambda\mid\Re e\geq 0\}\cup\{\lambda\mid|\lambda|\leq 10\}),

contains Λ\Lambda in both the inflow and outflow cases. Hence, for consistency we use this same semicircle for all of our winding number computations.

A remarkable feature of the Evans function for this system, and one that is shared with the shock case in [3, 12], is that the Evans function has limiting behavior as the amplitude increases, Section 3.2. For the inflow case, we see in Figure 1, the mapping of the contour ϕ\phi for the monatomic case (γ=5/3\gamma=5/3), for several different choices of v0v_{0}, as v+0v_{+}\rightarrow 0. We remark that the winding numbers for 0v+10\leq v_{+}\leq 1 are all zero, and the limiting contour touches zero due to the emergence of a zero root in the limit. Note that the limiting case contains the contours of all other amplitudes. Hence, we have spectral stability for all amplitudes.

The outflow case likewise has a limiting behavior, however, all contours cross through zero due to the eigenvalue at the origin. Nonetheless, since the contours only wind around once, we can likewise conclude that these profiles are spectrally stable. We remark that the outflow case converges to the limiting case faster than the inflow case as is clear from Figure 2. Indeed, v+=1e2v_{+}=1e\!-\!2 and the limiting case v+=0v_{+}=0, as well as all of the values of v+v_{+} in between, are virtually indistinguishable.

Refer to captionRefer to caption(a)(b)\begin{array}[]{cc}\includegraphics[width=163.60333pt]{index1}&\includegraphics[width=163.60333pt]{index2}\\ \mbox{\bf(a)}&\mbox{\bf(b)}\end{array}

Figure 3. Typical examples of the Evans function evaluated along the positive real axis. The (a)(a) inflow case is computed for v0=0.7v_{0}=0.7 and v0=0v_{0}=0 and (b)(b) the outflow case is computed for v0=0.3v_{0}=0.3 and v+=0.001v_{+}=0.001. Not the transversality at the origin in both cases. Both graphs consist of 5050 points in λ\lambda.

In our study, we systematically varied v0v_{0} in the interval [.01,.99][.01,.99] and took the v+0v_{+}\rightarrow 0 limit at each step, starting from a v+=.9v_{+}=.9 (or some other appropriate value, for example when v0<.9v_{0}<.9) on the small-amplitude end and decreased v+v_{+} steadily to 10k10^{-k} for k=1,2,3,,6k=1,2,3,\ldots,6, followed by evaluation at v+=0v_{+}=0. For both inflow and outflow cases, over 20002000 contours were computed. We remark that in the v+0v_{+}\rightarrow 0 limit, the system becomes pressureless, and thus all of the contours in the large-amplitude limit look the same regardless of the value of γ\gamma chosen.

6.2. Nonexistence of unstable real eigenvalues

As an additional verification of stability, we computed the Evans function along the unstable real axis on the interval [0,15][0,15] for varying parameters to show that there are no real unstable eigenvalues. Since the Evans function has a root at the origin in the limiting system for the inflow case, and for all values of v+v_{+} in the outflow case, we can perform in these cases a sort of numerical stability index analysis to verify that the Evans function cuts transversely through the origin and is otherwise nonzero, indicating that there are no unstable real eigenvalues as expected. In Figure 3, we see a typical example of (a)(a) the inflow and (b)(b) outflow cases. Note that in both images, the Evans function cuts transversally through the origin and is otherwise nonzero as λ\lambda increases.

Refer to captionRefer to caption(a)(b)\begin{array}[]{cc}\includegraphics[width=153.6447pt]{limit1}&\includegraphics[width=167.87108pt]{limit2}\\ \mbox{\bf(a)}&\mbox{\bf(b)}\end{array}

Figure 4. Shock limit for (a)(a) inflow and (b)(b) outflow cases, both for γ=5/3\gamma=5/3. Note that the images look very similar to those of [3, 12].

6.3. The shock limit

When v0v_{0} is far from the midpoint (1v+)/2(1-v_{+})/2 of the end states, the the Evans function of the boundary layer is similar to the Evans function of the shock case evaluated at the displacement point x0x_{0}. Hence, when we compute the boundary layer Evans function near the shock limits, v01v_{0}\approx 1 for the inflow case and v00v_{0}\approx 0 for the outflow case, we multiply for the correction factor c(λ)c(\lambda) so that our output looks close to that of the shock case studied in [3, 12]. The correction factors are

c(λ)=e(μ+μ¯)x0c(\lambda)=e^{(-\mu^{+}-\bar{\mu}^{-})x_{0}}

for the inflow case and

c(λ)=e(μ¯+μ)x0,c(\lambda)=e^{(-\bar{\mu}^{+}-\mu^{-})x_{0}},

for the outflow case, where μ\mu^{-} is the growth mode of A(λ)A_{-}(\lambda) and μ+\mu^{+} is the decay mode of A+(λ)A_{+}(\lambda). In Figure 4, we see that these highly displaced profiles appear to be very similar to the shock cases with one notable difference. These images have a small dimple near λ=0\lambda=0 to account for the eigenvalue there, whereas those in the shock case [3, 12] were computed in integrated coordinates and thus have no root at the origin.

Inflow Case
LL γ=1.2\gamma=1.2 γ=1.4\gamma=1.4 γ=1.666\gamma=1.666 γ=2.0\gamma=2.0 γ=2.5\gamma=2.5 γ=3.0\gamma=3.0
8 7.8(-1) 8.4(-1) 9.2(-1) 1.0(0) 1.2(0) 1.3(0)
10 1.4(-1) 1.2(-1) 9.2(-2) 6.8(-2) 4.4(-2) 2.8(-2)
12 1.4(-2) 7.9(-3) 3.6(-3) 1.3(-3) 3.1(-4) 7.3(-5)
14 1.3(-3) 4.9(-4) 1.3(-4) 2.4(-5) 8.7(-6) 8.2(-6)
16 1.2(-4) 3.0(-5) 4.7(-6) 2.8(-6) 2.7(-6) 2.6(-6)
18 1.1(-5) 5.8(-6) 8.0(-6) 8.1(-6) 8.0(-6) 8.0(-6)
Outflow Case
LL γ=1.2\gamma=1.2 γ=1.4\gamma=1.4 γ=1.666\gamma=1.666 γ=2.0\gamma=2.0 γ=2.5\gamma=2.5 γ=3.0\gamma=3.0
8 5.4(-3) 5.4(-3) 5.4(-3) 5.4(-3) 5.4(-3) 5.4(-3)
10 9.2(-4) 9.1(-4) 9.1(-4) 9.1(-4) 9.1(-4) 9.1(-4)
12 1.5(-4) 1.5(-4) 1.5(-4) 1.5(-4) 1.5(-4) 1.5(-4)
14 2.5(-5) 2.7(-5) 2.0(-5) 2.0(-5) 2.0(-5) 2.0(-5)
16 2.3(-6) 2.6(-6) 2.6(-6) 2.5(-6) 2.5(-6) 2.5(-6)
18 6.6(-6) 3.6(-6) 8.7(-6) 8.7(-6) 8.7(-6) 8.7(-6)
Table 1. Relative errors in D(λ)D(\lambda) for the inflow and outflow cases are computed by taking the maximum relative error for 60 contour points evaluated along the semicircle ϕ\phi. Samples were taken for varying LL and γ\gamma, leaving v+v_{+} fixed at v+=104v_{+}=10^{-4} and v0=0.6v_{0}=0.6. We used L=8,10,12,14,16,18,20L=8,10,12,14,16,18,20 and γ=1.2,1.4,1.666,2.0\gamma=1.2,1.4,1.666,2.0. Relative errors were computed using the next value of LL as the baseline.
Inflow Case
Abs/Rel γ=1.2\gamma=1.2 γ=1.4\gamma=1.4 γ=1.666\gamma=1.666 γ=2.0\gamma=2.0 γ=2.5\gamma=2.5 γ=3.0\gamma=3.0
103/10510^{-3}/10^{-5} 5.4(-4) 4.1(-4) 4.0(-4) 5.0(-4) 3.4(-4) 8.6(-4)
104/10610^{-4}/10^{-6} 3.1(-5) 4.6(-5) 3.4(-5) 3.3(-5) 3.3(-5) 3.2(-5)
105/10710^{-5}/10^{-7} 2.9(-6) 3.6(-6) 3.9(-6) 6.8(-6) 2.7(-6) 2.5(-6)
106/10810^{-6}/10^{-8} 4.6(-7) 9.9(-7) 1.1(-6) 6.0(-7) 2.9(-7) 3.2(-7)
Outflow Case
Abs/Rel γ=1.2\gamma=1.2 γ=1.4\gamma=1.4 γ=1.666\gamma=1.666 γ=2.0\gamma=2.0 γ=2.5\gamma=2.5 γ=3.0\gamma=3.0
103/10510^{-3}/10^{-5} 9.2(-4) 9.2(-4) 9.1(-4) 9.1(-4) 9.1(-4) 9.2(-4)
104/10610^{-4}/10^{-6} 5.3(-5) 4.9(-5) 5.3(-5) 5.3(-5) 5.3(-5) 5.3(-5)
105/10710^{-5}/10^{-7} 6.7(-5) 6.7(-5) 6.7(-5) 6.7(-5) 6.7(-5) 6.7(-5)
106/10810^{-6}/10^{-8} 2.9(-6) 2.9(-6) 2.9(-6) 2.9(-6) 2.9(-6) 2.9(-6)
Table 2. Relative errors in D(λ)D(\lambda) for the inflow and outflow cases are computed by taking the maximum relative error for 60 contour points evaluated along the semicircle ϕ\phi. Samples were taken for varying the absolute and relative error tolerances and γ\gamma in the ODE solver, leaving L=18L=18 and γ=1.666\gamma=1.666, v+=104v_{+}=10^{-4}, and v0=0.6v_{0}=0.6 fixed. Relative errors were computed using the next run as the baseline.

6.4. Numerical convergence study

As in [3], we carry out a numerical convergence study to show that our results are accurate. We varied the absolute and relative error tolerances, as well as the length of the numerical domain [L,L][-L,L]. In Tables 1–2, we demonstrate that our choices of L=18L=18, AbsTol=1e-6 and RelTol=1e-8 provide accurate results.

Appendix A Proof of preliminary estimate: inflow case

Our starting point is Remark 2.4, in which we observed that the first-order eigensystem (34) in variable W=(w,uv,v)TW=(w,u-v,v)^{T} may be converted by the rescaling WW~:=(w,uv,λv)TW\to\tilde{W}:=(w,u-v,\lambda v)^{T} to a system identical to that of the integrated equations in the shock case; see [22]. Artificially defining (u~,v~,v~)T:=W~(\tilde{u},\tilde{v},\tilde{v}^{\prime})^{T}:=\tilde{W}, we obtain a system

(94a) λv~+v~u~=0,\displaystyle\lambda\tilde{v}+\tilde{v}^{\prime}-\tilde{u}^{\prime}=0,
(94b) λu~+u~h(v^)v^γ+1v~=u~′′v^.\displaystyle\lambda\tilde{u}+\tilde{u}^{\prime}-\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}\tilde{v}^{\prime}=\frac{\tilde{u}^{\prime\prime}}{{\hat{v}}}.

identical to that in the integrated shock case [3], but with boundary conditions

(95) v~(0)=v~(0)=u~(0)=0\tilde{v}(0)=\tilde{v}^{\prime}(0)=\tilde{u}^{\prime}(0)=0

imposed at x=0x=0. This new eigenvalue problem differs spectrally from (22) only at λ=0\lambda=0, hence spectral stability of (22) is implied by spectral stability of (94). Hereafter, we drop the tildes, and refer simply to uu, vv.

With these coordinates, we may establish (2.3) by exactly the same argument used in the shock case in [3, 12], for completeness reproduced here.

Lemma A.1.

The following identity holds for eλ0\Re e\lambda\geq 0:

(e(λ)+|m(λ)|)\displaystyle(\Re e(\lambda)+|\Im m(\lambda)|) +v^|u|2++|u|2\displaystyle\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2}+\int_{\mathbb{R}^{+}}|u^{\prime}|^{2}
(96) 2+h(v^)v^γ|v||u|+2+v^|u||u|.\displaystyle\leq\sqrt{2}\int_{\mathbb{R}^{+}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}|v^{\prime}||u|+\sqrt{2}\int_{\mathbb{R}^{+}}{\hat{v}}|u^{\prime}||u|.
Proof.

We multiply (94b) by v^u¯{\hat{v}}{\bar{u}} and integrate along xx. This yields

λ+v^|u|2++v^uu¯++|u|2=+h(v^)v^γvu¯.\lambda\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2}+\int_{\mathbb{R}^{+}}{\hat{v}}u^{\prime}\bar{u}+\int_{\mathbb{R}^{+}}|u^{\prime}|^{2}=\int_{\mathbb{R}^{+}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}v^{\prime}\bar{u}.

We get (96) by taking the real and imaginary parts and adding them together, and noting that |e(z)|+|m(z)|2|z||\Re e(z)|+|\Im m(z)|\leq\sqrt{2}|z|. ∎

Lemma A.2.

The following identity holds for eλ0\Re e\lambda\geq 0:

(97) +|u|2=2e(λ)2+|v|2+e(λ)+|v|2v^+12+[h(v^)v^γ+1+aγv^γ+1]|v|2\int_{\mathbb{R}^{+}}|u^{\prime}|^{2}=2\Re e(\lambda)^{2}\int_{\mathbb{R}^{+}}|v|^{2}+\Re e(\lambda)\int_{\mathbb{R}^{+}}\frac{|v^{\prime}|^{2}}{{\hat{v}}}+\frac{1}{2}\int_{\mathbb{R}^{+}}\left[\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}+\frac{a\gamma}{{\hat{v}}^{\gamma+1}}\right]|v^{\prime}|^{2}
Proof.

We multiply (94b) by v¯{\bar{v}^{\prime}} and integrate along xx. This yields

λ+uv¯++uv¯+h(v^)v^γ+1|v|2=+1v^u′′v¯=+1v^(λv+v′′)v¯.\lambda\int_{\mathbb{R}^{+}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{+}}u^{\prime}\bar{v}^{\prime}-\int_{\mathbb{R}^{+}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}|v^{\prime}|^{2}=\int_{\mathbb{R}^{+}}\frac{1}{{\hat{v}}}u^{\prime\prime}\bar{v}^{\prime}=\int_{\mathbb{R}^{+}}\frac{1}{{\hat{v}}}(\lambda v^{\prime}+v^{\prime\prime}){\bar{v}^{\prime}}.

Using (94a) on the right-hand side, integrating by parts, and taking the real part gives

e[λ+uv¯++uv¯]=+[h(v^)v^γ+1+v^x2v^2]|v|2+e(λ)+|v|2v^.\Re e\left[\lambda\int_{\mathbb{R}^{+}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{+}}u^{\prime}\bar{v}^{\prime}\right]=\int_{\mathbb{R}^{+}}\left[\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}+\frac{{\hat{v}}_{x}}{2{\hat{v}}^{2}}\right]|v^{\prime}|^{2}+\Re e(\lambda)\int_{\mathbb{R}^{+}}\frac{|v^{\prime}|^{2}}{{\hat{v}}}.

The right hand side can be rewritten as

(98) e[λ+uv¯++uv¯]=12+[h(v^)v^γ+1+aγv^γ+1]|v|2+e(λ)+|v|2v^.\Re e\left[\lambda\int_{\mathbb{R}^{+}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{+}}u^{\prime}\bar{v}^{\prime}\right]=\frac{1}{2}\int_{\mathbb{R}^{+}}\left[\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}+\frac{a\gamma}{{\hat{v}}^{\gamma+1}}\right]|v^{\prime}|^{2}+\Re e(\lambda)\int_{\mathbb{R}^{+}}\frac{|v^{\prime}|^{2}}{{\hat{v}}}.

Now we manipulate the left-hand side. Note that

λ+uv¯++uv¯\displaystyle\lambda\int_{\mathbb{R}^{+}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{+}}u^{\prime}\bar{v}^{\prime} =(λ+λ¯)+uv¯+u(λ¯v¯+v¯′′)\displaystyle=(\lambda+\bar{\lambda})\int_{\mathbb{R}^{+}}u\bar{v}^{\prime}-\int_{\mathbb{R}^{+}}u(\bar{\lambda}\bar{v}^{\prime}+\bar{v}^{\prime\prime})
=2e(λ)+uv¯+uu¯′′\displaystyle=-2\Re e(\lambda)\int_{\mathbb{R}^{+}}u^{\prime}\bar{v}-\int_{\mathbb{R}^{+}}u\bar{u}^{\prime\prime}
=2e(λ)+(λv+v)v¯++|u|2.\displaystyle=-2\Re e(\lambda)\int_{\mathbb{R}^{+}}(\lambda v+v^{\prime})\bar{v}+\int_{\mathbb{R}^{+}}|u^{\prime}|^{2}.

Hence, by taking the real part we get

e[λ+uv¯++uv¯]=+|u|22e(λ)2+|v|2.\Re e\left[\lambda\int_{\mathbb{R}^{+}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{+}}u^{\prime}\bar{v}^{\prime}\right]=\int_{\mathbb{R}^{+}}|u^{\prime}|^{2}-2\Re e(\lambda)^{2}\int_{\mathbb{R}^{+}}|v|^{2}.

This combines with (98) to give (97). ∎

Lemma A.3 ([3]).

For h(v^)h({\hat{v}}) as in (21), we have

(99) supv^|h(v^)v^γ|=γ1v+1v+γγ,\sup_{{\hat{v}}}\left|\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}\right|=\gamma\frac{1-v_{+}}{1-v_{+}^{\gamma}}\leq\gamma,

where v^{\hat{v}} is the profile solution to (18).

Proof.

Defining

(100) g(v^):=h(v^)v^γ=v^+a(γ1)v^γ+(a+1),g({\hat{v}}):=h({\hat{v}}){\hat{v}}^{-\gamma}=-{\hat{v}}+a(\gamma-1){\hat{v}}^{-\gamma}+(a+1),

we have g(v^)=1aγ(γ1)v^γ1<0g^{\prime}({\hat{v}})=-1-a\gamma(\gamma-1){\hat{v}}^{-\gamma-1}<0 for 0<v+v^v=10<v_{+}\leq{\hat{v}}\leq v_{-}=1, hence the maximum of gg on v^[v+,v]{\hat{v}}\in[v_{+},v_{-}] is achieved at v^=v+{\hat{v}}=v_{+}. Substituting (19) into (100) and simplifying yields (99). ∎

Proof of Proposition 2.3.

Using Young’s inequality twice on right-hand side of (96) together with (99), we get

(e\displaystyle(\Re e (λ)+|m(λ)|)+v^|u|2++|u|2\displaystyle(\lambda)+|\Im m(\lambda)|)\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2}+\int_{\mathbb{R}^{+}}|u^{\prime}|^{2}
2+h(v^)v^γ|v||u|+2+v^|u||u|\displaystyle\leq\sqrt{2}\int_{\mathbb{R}^{+}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}|v^{\prime}||u|+\sqrt{2}\int_{\mathbb{R}^{+}}{\hat{v}}|u^{\prime}||u|
θ+h(v^)v^γ+1|v|2+(2)24θ+h(v^)v^γv^|u|2+ϵ+v^|u|2+14ϵ+v^|u|2\displaystyle\leq\theta\int_{\mathbb{R}^{+}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}|v^{\prime}|^{2}+\frac{(\sqrt{2})^{2}}{4\theta}\int_{\mathbb{R}^{+}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}{\hat{v}}|u|^{2}+\epsilon\int_{\mathbb{R}^{+}}{\hat{v}}|u^{\prime}|^{2}+\frac{1}{4\epsilon}\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2}
<θ+h(v^)v^γ+1|v|2+ϵ+|u|2+[γ2θ+12ϵ]+v^|u|2.\displaystyle<\theta\int_{\mathbb{R}^{+}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}|v^{\prime}|^{2}+\epsilon\int_{\mathbb{R}^{+}}|u^{\prime}|^{2}+\left[\frac{\gamma}{2\theta}+\frac{1}{2\epsilon}\right]\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2}.

Assuming that 0<ϵ<10<\epsilon<1 and θ=(1ϵ)/2\theta=(1-\epsilon)/2, this simplifies to

(e(λ)+|m(λ)|)\displaystyle(\Re e(\lambda)+|\Im m(\lambda)|) +v^|u|2+(1ϵ)+|u|2\displaystyle\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2}+(1-\epsilon)\int_{\mathbb{R}^{+}}|u^{\prime}|^{2}
<1ϵ2+h(v^)v^γ+1|v|2+[γ2θ+12ϵ]+v^|u|2.\displaystyle<\frac{1-\epsilon}{2}\int_{\mathbb{R}^{+}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}|v^{\prime}|^{2}+\left[\frac{\gamma}{2\theta}+\frac{1}{2\epsilon}\right]\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2}.

Applying (97) yields

(e(λ)+|m(λ)|)+v^|u|2<[γ1ϵ+12ϵ]+v^|u|2,(\Re e(\lambda)+|\Im m(\lambda)|)\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2}<\left[\frac{\gamma}{1-\epsilon}+\frac{1}{2\epsilon}\right]\int_{\mathbb{R}^{+}}{\hat{v}}|u|^{2},

or equivalently,

(e(λ)+|m(λ)|)<(2γ1)ϵ+12ϵ(1ϵ).(\Re e(\lambda)+|\Im m(\lambda)|)<\frac{(2\gamma-1)\epsilon+1}{2\epsilon(1-\epsilon)}.

Setting ϵ=1/(2γ+1)\epsilon=1/(2\sqrt{\gamma}+1) gives (31). ∎

Appendix B Proof of preliminary estimate: outflow case

Similarly as in the inflow case, we can convert the eigenvalue equations into the integrated equations as in the shock case; see [22]. Artificially defining (u~,v~,v~)T:=W~(\tilde{u},\tilde{v},\tilde{v}^{\prime})^{T}:=\tilde{W}, we obtain a system

(101a) λv~+v~u~=0,\displaystyle\lambda\tilde{v}+\tilde{v}^{\prime}-\tilde{u}^{\prime}=0,
(101b) λu~+u~h(v^)v^γ+1v~=u~′′v^.\displaystyle\lambda\tilde{u}+\tilde{u}^{\prime}-\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}\tilde{v}^{\prime}=\frac{\tilde{u}^{\prime\prime}}{{\hat{v}}}.

identical to that in the integrated shock case [3], but with boundary conditions

(102) v~(0)=λα1v~(0),u~(0)=αv~(0)\tilde{v}^{\prime}(0)=\frac{\lambda}{\alpha-1}\tilde{v}(0),\quad\tilde{u}^{\prime}(0)=\alpha\tilde{v}^{\prime}(0)

imposed at x=0x=0. We shall write w0w_{0} for w(0)w(0), for any function ww. This new eigenvalue problem differs spectrally from (22) only at λ=0\lambda=0, hence spectral stability of (22) is implied by spectral stability of (101). Hereafter, we drop the tildes, and refer simply to uu, vv.

Lemma B.1.

The following identity holds for eλ0\Re e\lambda\geq 0:

(e(λ)+|m(λ)|)\displaystyle(\Re e(\lambda)+|\Im m(\lambda)|) v^|u|212v^x|u|2+|u|2+12v^0|u0|2\displaystyle\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}-\frac{1}{2}\int_{\mathbb{R}^{-}}{\hat{v}}_{x}|u|^{2}+\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}+\frac{1}{2}\hat{v}_{0}|u_{0}|^{2}
(103) 2h(v^)v^γ|v||u|+v^|u||u|+2|α||v0||u0|.\displaystyle\leq\sqrt{2}\int_{\mathbb{R}^{-}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}|v^{\prime}||u|+\int_{\mathbb{R}^{-}}{\hat{v}}|u^{\prime}||u|+\sqrt{2}|\alpha||v^{\prime}_{0}||u_{0}|.
Proof.

We multiply (101b) by v^u¯{\hat{v}}{\bar{u}} and integrate along xx. This yields

λv^|u|2+v^uu¯+|u|2=h(v^)v^γvu¯+u0u¯0.\lambda\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}+\int_{\mathbb{R}^{-}}{\hat{v}}u^{\prime}\bar{u}+\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}=\int_{\mathbb{R}^{-}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}v^{\prime}\bar{u}+u^{\prime}_{0}\bar{u}_{0}.

We get (103) by taking the real and imaginary parts and adding them together, and noting that |e(z)|+|m(z)|2|z||\Re e(z)|+|\Im m(z)|\leq\sqrt{2}|z|. ∎

Lemma B.2.

The following inequality holds for eλ0\Re e\lambda\geq 0:

12[h(v^)v^γ+1+aγv^γ+1]|v|2\displaystyle\frac{1}{2}\int_{\mathbb{R}^{-}}\left[\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}+\frac{a\gamma}{{\hat{v}}^{\gamma+1}}\right]|v^{\prime}|^{2} +e(λ)|v|2v^+|v0|24v^0+2eλ2|v|2\displaystyle+\Re e(\lambda)\int_{\mathbb{R}^{-}}\frac{|v^{\prime}|^{2}}{{\hat{v}}}+\frac{|v^{\prime}_{0}|^{2}}{4\hat{v}_{0}}+2\Re e\lambda^{2}\int_{\mathbb{R}^{-}}|v|^{2}
(104) |u|2+v^0|u0|2.\displaystyle\leq\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}+\hat{v}_{0}|u_{0}|^{2}.
Proof.

We multiply (101b) by v¯{\bar{v}^{\prime}} and integrate along xx. This yields

λuv¯+uv¯h(v^)v^γ+1|v|2=1v^u′′v¯=1v^(λv+v′′)v¯.\lambda\int_{\mathbb{R}^{-}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{-}}u^{\prime}\bar{v}^{\prime}-\int_{\mathbb{R}^{-}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}|v^{\prime}|^{2}=\int_{\mathbb{R}^{-}}\frac{1}{{\hat{v}}}u^{\prime\prime}\bar{v}^{\prime}=\int_{\mathbb{R}^{-}}\frac{1}{{\hat{v}}}(\lambda v^{\prime}+v^{\prime\prime}){\bar{v}^{\prime}}.

Using (101a) on the right-hand side, integrating by parts, and taking the real part gives

e[λuv¯+uv¯]=[h(v^)v^γ+1+v^x2v^2]|v|2+e(λ)|v|2v^+|v0|22v^0.\Re e\left[\lambda\int_{\mathbb{R}^{-}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{-}}u^{\prime}\bar{v}^{\prime}\right]=\int_{\mathbb{R}^{-}}\left[\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}+\frac{{\hat{v}}_{x}}{2{\hat{v}}^{2}}\right]|v^{\prime}|^{2}+\Re e(\lambda)\int_{\mathbb{R}^{-}}\frac{|v^{\prime}|^{2}}{{\hat{v}}}+\frac{|v^{\prime}_{0}|^{2}}{2\hat{v}_{0}}.

The right hand side can be rewritten as

e\displaystyle\Re e [λuv¯+uv¯]\displaystyle\left[\lambda\int_{\mathbb{R}^{-}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{-}}u^{\prime}\bar{v}^{\prime}\right]
(105) =12[h(v^)v^γ+1+aγv^γ+1]|v|2+e(λ)|v|2v^+|v0|22v^0.\displaystyle=\frac{1}{2}\int_{\mathbb{R}^{-}}\left[\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}+\frac{a\gamma}{{\hat{v}}^{\gamma+1}}\right]|v^{\prime}|^{2}+\Re e(\lambda)\int_{\mathbb{R}^{-}}\frac{|v^{\prime}|^{2}}{{\hat{v}}}+\frac{|v^{\prime}_{0}|^{2}}{2\hat{v}_{0}}.

Now we manipulate the left-hand side. Note that

λuv¯\displaystyle\lambda\int_{\mathbb{R}^{-}}u\bar{v}^{\prime} +uv¯=(λ+λ¯)uv¯+(uv¯λ¯uv¯)\displaystyle+\int_{\mathbb{R}^{-}}u^{\prime}\bar{v}^{\prime}=(\lambda+\bar{\lambda})\int_{\mathbb{R}^{-}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{-}}(u^{\prime}\bar{v}^{\prime}-\bar{\lambda}u\bar{v}^{\prime})
=2e(λ)uv¯+2eλu0v¯0+u(v¯+λ¯v¯)λ¯u0v¯0\displaystyle=-2\Re e(\lambda)\int_{\mathbb{R}^{-}}u^{\prime}\bar{v}+2\Re e\lambda u_{0}\bar{v}_{0}+\int_{\mathbb{R}^{-}}u^{\prime}(\bar{v}^{\prime}+\bar{\lambda}\bar{v})-\bar{\lambda}u_{0}\bar{v}_{0}
=2e(λ)(λv+v)v¯+|u|2+2eλu0v¯0λ¯u0v¯0.\displaystyle=-2\Re e(\lambda)\int_{\mathbb{R}^{-}}(\lambda v+v^{\prime})\bar{v}+\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}+2\Re e\lambda u_{0}\bar{v}_{0}-\bar{\lambda}u_{0}\bar{v}_{0}.

Hence, by taking the real part and noting that

e(2eλu0v¯0λ¯u0v¯0)=eλe(u0v¯0)mλm(u0v¯0)=e(λu0v¯0)\Re e(2\Re e\lambda u_{0}\bar{v}_{0}-\bar{\lambda}u_{0}\bar{v}_{0})=\Re e\lambda\Re e(u_{0}\bar{v}_{0})-\Im m\lambda\Im m(u_{0}\bar{v}_{0})=\Re e(\lambda u_{0}\bar{v}_{0})

we get

e[λuv¯+uv¯]=|u|22eλ2|v|2eλ|v0|2+e(λu0v¯0).\Re e\left[\lambda\int_{\mathbb{R}^{-}}u\bar{v}^{\prime}+\int_{\mathbb{R}^{-}}u^{\prime}\bar{v}^{\prime}\right]=\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}-2\Re e\lambda^{2}\int_{\mathbb{R}^{-}}|v|^{2}-\Re e\lambda|v_{0}|^{2}+\Re e(\lambda u_{0}\bar{v}_{0}).

This combines with (B) to give

12[h(v^)v^γ+1+aγv^γ+1]|v|2\displaystyle\frac{1}{2}\int_{\mathbb{R}^{-}}\left[\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}+\frac{a\gamma}{{\hat{v}}^{\gamma+1}}\right]|v^{\prime}|^{2} +e(λ)|v|2v^+|v0|22v^0+2eλ2|v|2\displaystyle+\Re e(\lambda)\int_{\mathbb{R}^{-}}\frac{|v^{\prime}|^{2}}{{\hat{v}}}+\frac{|v^{\prime}_{0}|^{2}}{2\hat{v}_{0}}+2\Re e\lambda^{2}\int_{\mathbb{R}^{-}}|v|^{2}
+eλ|v0|2=|u|2+e(λu0v¯0).\displaystyle+\Re e\lambda|v_{0}|^{2}=\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}+\Re e(\lambda u_{0}\bar{v}_{0}).

We get (B.2) by observing that (102) and Young’s inequality yield

|e(λu0v¯0)||α1||v0v0||v0v0||v0|24v^0+v^0|u0|2.|\Re e(\lambda u_{0}\bar{v}_{0})|\leq|\alpha-1||v^{\prime}_{0}v_{0}|\leq|v^{\prime}_{0}v_{0}|\leq\frac{|v^{\prime}_{0}|^{2}}{4\hat{v}_{0}}+\hat{v}_{0}|u_{0}|^{2}.

Here we used |α1|=|λ||λv^0|1|\alpha-1|=\frac{|\lambda|}{|\lambda-\hat{v}^{\prime}_{0}|}\leq 1. Note that eλ0\Re e\lambda\geq 0 and v^00\hat{v}^{\prime}_{0}\leq 0.∎

Proof of Proposition 2.3.

Using Young’s inequality twice on right-hand side of (103) together with (99), and denoting the boundary term on the right by IbI_{b}, we get

(e\displaystyle(\Re e (λ)+|m(λ)|)v^|u|212v^x|u|2+|u|2+12v^0|u0|2\displaystyle(\lambda)+|\Im m(\lambda)|)\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}-\frac{1}{2}\int_{\mathbb{R}^{-}}{\hat{v}}_{x}|u|^{2}+\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}+\frac{1}{2}\hat{v}_{0}|u_{0}|^{2}
2h(v^)v^γ|v||u|+v^|u||u|+Ib\displaystyle\leq\sqrt{2}\int_{\mathbb{R}^{-}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}|v^{\prime}||u|+\int_{\mathbb{R}^{-}}{\hat{v}}|u^{\prime}||u|+I_{b}
θh(v^)v^γ+1|v|2+12θh(v^)v^γv^|u|2+ϵv^|u|2+14ϵv^|u|2+Ib\displaystyle\leq\theta\int_{\mathbb{R}^{-}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}|v^{\prime}|^{2}+\frac{1}{2\theta}\int_{\mathbb{R}^{-}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma}}{\hat{v}}|u|^{2}+\epsilon\int_{\mathbb{R}^{-}}{\hat{v}}|u^{\prime}|^{2}+\frac{1}{4\epsilon}\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}+I_{b}
<θh(v^)v^γ+1|v|2+ϵ|u|2+[γ2θ+14ϵ]v^|u|2+Ib.\displaystyle<\theta\int_{\mathbb{R}^{-}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}|v^{\prime}|^{2}+\epsilon\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}+\left[\frac{\gamma}{2\theta}+\frac{1}{4\epsilon}\right]\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}+I_{b}.

Here we treat the boundary term by

Ib\displaystyle I_{b} 2|α||v0||u0|θ2|v0|2v^0+1θ|α|2v^0|u0|2.\displaystyle\leq\sqrt{2}|\alpha||v^{\prime}_{0}||u_{0}|\leq\frac{\theta}{2}\frac{|v^{\prime}_{0}|^{2}}{\hat{v}_{0}}+\frac{1}{\theta}|\alpha|^{2}\hat{v}_{0}|u_{0}|^{2}.

Therefore using (B.2), we simply obtain from the above estimates

(e(λ)\displaystyle(\Re e(\lambda) +|m(λ)|)v^|u|2+(1ϵ)|u|2+12v^0|u0|2\displaystyle+|\Im m(\lambda)|)\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}+(1-\epsilon)\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}+\frac{1}{2}\hat{v}_{0}|u_{0}|^{2}
<θh(v^)v^γ+1|v|2+θ2|v0|2v^0+[γ2θ+14ϵ]v^|u|2+1θ|α|2v^0|u0|2\displaystyle<\theta\int_{\mathbb{R}^{-}}\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}|v^{\prime}|^{2}+\frac{\theta}{2}\frac{|v^{\prime}_{0}|^{2}}{\hat{v}_{0}}+\left[\frac{\gamma}{2\theta}+\frac{1}{4\epsilon}\right]\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}+\frac{1}{\theta}|\alpha|^{2}\hat{v}_{0}|u_{0}|^{2}
<2θ|u|2+[γ2θ+14ϵ]v^|u|2+Jb\displaystyle<2\theta\int_{\mathbb{R}^{-}}|u^{\prime}|^{2}+\left[\frac{\gamma}{2\theta}+\frac{1}{4\epsilon}\right]\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}+J_{b}

where Jb:=(1θ|α|2+2θ)v^0|u0|2.J_{b}:=(\frac{1}{\theta}|\alpha|^{2}+2\theta)\hat{v}_{0}|u_{0}|^{2}. Assuming that ϵ+2θ1\epsilon+2\theta\leq 1, this simplifies to

(e(λ)+|m(λ)|)\displaystyle(\Re e(\lambda)+|\Im m(\lambda)|) v^|u|2+12v^0|u0|2<[γ2θ+14ϵ]v^|u|2+Jb.\displaystyle\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}+\frac{1}{2}\hat{v}_{0}|u_{0}|^{2}<\left[\frac{\gamma}{2\theta}+\frac{1}{4\epsilon}\right]\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}+J_{b}.

Note that |α|v^0|λ|14|λ||\alpha|\leq\frac{-\hat{v}^{\prime}_{0}}{|\lambda|}\leq\frac{1}{4|\lambda|}. Therefore for |λ|14θ|\lambda|\geq\frac{1}{4\theta}, we get |α|θ|\alpha|\leq\theta and Jb3θv^0|u0|2.J_{b}\leq 3\theta\hat{v}_{0}|u_{0}|^{2}. For sake of simplicity, choose θ=1/6\theta=1/6 and ϵ=2/3\epsilon=2/3. This shows that JbJ_{b} can be absorbed into the left by the term 12v^0|u0|2\frac{1}{2}\hat{v}_{0}|u_{0}|^{2} and thus we get

(e(λ)+|m(λ)|)\displaystyle(\Re e(\lambda)+|\Im m(\lambda)|) v^|u|2<[γ2θ+14ϵ]v^|u|2=[3γ+38]v^|u|2,\displaystyle\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}<\left[\frac{\gamma}{2\theta}+\frac{1}{4\epsilon}\right]\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2}=\left[3\gamma+\frac{3}{8}\right]\int_{\mathbb{R}^{-}}{\hat{v}}|u|^{2},

provided that |λ|1/(4θ)=3/2|\lambda|\geq 1/(4\theta)=3/2.

This shows

(e(λ)+|m(λ)|)<max{322,3γ+38}.(\Re e(\lambda)+|\Im m(\lambda)|)<\max\{\frac{3\sqrt{2}}{2},3\gamma+\frac{3}{8}\}.

Appendix C Nonvanishing of Din0D^{0}_{\rm in}

Working in (v~,u~)(\tilde{v},\tilde{u}) variables as in (94), the limiting eigenvalue system and boundary conditions take the form

(106a) λv~+v~u~=0,\displaystyle\lambda\tilde{v}+\tilde{v}^{\prime}-\tilde{u}^{\prime}=0,
(106b) λu~+u~1v^v^v~=u~′′v^.\displaystyle\lambda\tilde{u}+\tilde{u}^{\prime}-\frac{1-{\hat{v}}}{{\hat{v}}}\tilde{v}^{\prime}=\frac{\tilde{u}^{\prime\prime}}{{\hat{v}}}.

corresponding to a pressureless gas, γ=0\gamma=0, with

(107) (u~,u~,v~,v~)(0)=(d,0,0,0),(u~,u~,v~,v~)(+)=(c,0,0,0).(\tilde{u},\tilde{u}^{\prime},\tilde{v},\tilde{v}^{\prime})(0)=(d,0,0,0),\>\>(\tilde{u},\tilde{u}^{\prime},\tilde{v},\tilde{v}^{\prime})(+\infty)=(c,0,0,0).

Hereafter, we drop the tildes.

Proof of Proposition 3.6.

Multiplying (106b) by v^u¯/(1v^){\hat{v}}\bar{u}/(1-{\hat{v}}) and integrating on [0,b]+[0,b]\subset\mathbb{R}^{+}, we obtain

λ0bv^1v^|u|2𝑑x+0bv^1v^uu¯𝑑x0bvu¯𝑑x=0bu′′u¯1v^𝑑x.\lambda\int^{b}_{0}\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}dx+\int^{b}_{0}\frac{{\hat{v}}}{1-{\hat{v}}}u^{\prime}\bar{u}dx-\int^{b}_{0}v^{\prime}\bar{u}dx=\int^{b}_{0}\frac{u^{\prime\prime}\bar{u}}{1-{\hat{v}}}dx.

Integrating the third and fourth terms by parts yields

λ0bv^1v^|u|2𝑑x\displaystyle\lambda\int^{b}_{0}\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}dx +0b[v^1v^+(11v^)]uu¯𝑑x\displaystyle+\int^{b}_{0}\left[\frac{{\hat{v}}}{1-{\hat{v}}}+\left(\frac{1}{1-{\hat{v}}}\right)^{\prime}\right]u^{\prime}\bar{u}dx
+0b|u|21v^𝑑x+0bv(λv+v¯)𝑑x\displaystyle\quad+\int^{b}_{0}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx+\int^{b}_{0}v(\overline{\lambda v+v^{\prime}})dx
=[vu¯+uu¯1v^]|0b.\displaystyle=\left[v\bar{u}+\frac{u^{\prime}\bar{u}}{1-{\hat{v}}}\right]\Big{|}^{b}_{0}.

Taking the real part, we have

e(λ)0b(v^1v^|u|2+|v|2)𝑑x+0bg(v^)|u|2𝑑x+0b|u|21v^𝑑x\displaystyle\Re e(\lambda)\int^{b}_{0}\left(\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}+|v|^{2}\right)dx+\int^{b}_{0}g({\hat{v}})|u|^{2}dx+\int^{b}_{0}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx
(108) =e[vu¯+uu¯1v^12[v^1v^+(11v^)]|u|2|v|22]|0b,\displaystyle\quad=\Re e\left[v\bar{u}+\frac{u^{\prime}\bar{u}}{1-{\hat{v}}}-\frac{1}{2}\left[\frac{{\hat{v}}}{1-{\hat{v}}}+\left(\frac{1}{1-{\hat{v}}}\right)^{\prime}\right]|u|^{2}-\frac{|v|^{2}}{2}\right]\Big{|}^{b}_{0},

where

g(v^)=12[(v^1v^)+(11v^)′′].g({\hat{v}})=-\frac{1}{2}\left[\left(\frac{{\hat{v}}}{1-{\hat{v}}}\right)^{\prime}+\left(\frac{1}{1-{\hat{v}}}\right)^{\prime\prime}\right].

Note that

ddx(11v^)=(1v^)(1v^)2=v^x(1v^)2=v^(v^1)(1v^)2=v^1v^.\frac{d}{dx}\left(\frac{1}{1-{\hat{v}}}\right)=-\frac{(1-{\hat{v}})^{\prime}}{(1-{\hat{v}})^{2}}=\frac{{\hat{v}}_{x}}{(1-{\hat{v}})^{2}}=\frac{{\hat{v}}({\hat{v}}-1)}{(1-{\hat{v}})^{2}}=-\frac{{\hat{v}}}{1-{\hat{v}}}.

Thus, g(v^)0g({\hat{v}})\equiv 0 and the third term on the right-hand side vanishes, leaving

e(λ)0b(v^1v^|u|2+|v|2)𝑑x\displaystyle\Re e(\lambda)\int^{b}_{0}\left(\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}+|v|^{2}\right)dx +0b|u|21v^𝑑x\displaystyle+\int^{b}_{0}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx
=[e(vu¯)+e(uu¯)1v^|v|22]|0b\displaystyle\quad=\left[\Re e(v\bar{u})+\frac{\Re e(u^{\prime}\bar{u})}{1-{\hat{v}}}-\frac{|v|^{2}}{2}\right]\Big{|}^{b}_{0}
=[e(vu¯)+e(uu¯)1v^|v|22](b).\displaystyle\quad=\left[\Re e(v\bar{u})+\frac{\Re e(u^{\prime}\bar{u})}{1-{\hat{v}}}-\frac{|v|^{2}}{2}\right](b).

We show finally that the right-hand side goes to zero in the limit as bb\rightarrow\infty. By Proposition 4.3, the behavior of uu, vv near ±\pm\infty is governed by the limiting constant–coefficient systems W=A±0(λ)WW^{\prime}=A^{0}_{\pm}(\lambda)W, where W=(u,v,v)TW=(u,v,v^{\prime})^{T} and A±0=A0(±,λ)A^{0}_{\pm}=A^{0}(\pm\infty,\lambda). In particular, solutions WW asymptotic to (1,0,0)(1,0,0) at x=+x=+\infty decay exponentially in (u,v,v)(u^{\prime},v,v^{\prime}) and are bounded in coordinate uu as x+x\to+\infty. Observing that 1v^11-\hat{v}\to 1 as x+x\to+\infty, we thus see immediately that the boundary contribution at bb vanishes as b+b\to+\infty.

Thus, in the limit as b+b\to+\infty,

(109) e(λ)0+(v^1v^|u|2+|v|2)𝑑x+0+|u|21v^𝑑x=0.\Re e(\lambda)\int^{+\infty}_{0}\left(\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}+|v|^{2}\right)dx+\int^{+\infty}_{0}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx=0.

But, for eλ0\Re e\lambda\geq 0, this implies u0u^{\prime}\equiv 0, or uconstantu\equiv\hbox{\rm constant}, which, by u(0)=1u(0)=1, implies u1u\equiv 1. This reduces (106a) to v=λvv^{\prime}=\lambda v, yielding the explicit solution v=Ceλxv=Ce^{\lambda x}. By v(0)=0v(0)=0, therefore, v0v\equiv 0 for eλ0\Re e\lambda\geq 0. Substituting into (106b), we obtain λ=0\lambda=0. It follows that there are no nontrivial solutions of (106), (107) for eλ0\Re e\lambda\geq 0 except at λ=0\lambda=0. ∎

Remark C.1.

The above energy estimate is essentially identical to that used in [12] to treat the limiting shock case.

Appendix D Nonvanishing of Dout0D^{0}_{\rm out}

Working in (v~,u~)(\tilde{v},\tilde{u}) variables as in (94), the limiting eigenvalue system and boundary conditions take the form

(110a) λv~+v~u~=0,\displaystyle\lambda\tilde{v}+\tilde{v}^{\prime}-\tilde{u}^{\prime}=0,
(110b) λu~+u~1v^v^v~=u~′′v^.\displaystyle\lambda\tilde{u}+\tilde{u}^{\prime}-\frac{1-{\hat{v}}}{{\hat{v}}}\tilde{v}^{\prime}=\frac{\tilde{u}^{\prime\prime}}{{\hat{v}}}.

corresponding to a pressureless gas, γ=0\gamma=0, with

(111) (u~,u~,v~,v~)()=(0,0,0,0),(\tilde{u},\tilde{u}^{\prime},\tilde{v},\tilde{v}^{\prime})(-\infty)=(0,0,0,0),
(112) v~(0)=λα1v~(0),u~(0)=αv~(0).\tilde{v}^{\prime}(0)=\frac{\lambda}{\alpha-1}\tilde{v}(0),\quad\tilde{u}^{\prime}(0)=\alpha\tilde{v}^{\prime}(0).

In particular,

(113) u~(0)=λαα1v~(0)=v^(0)v~(0)=(v01)v^0v~(0).\tilde{u}^{\prime}(0)=\frac{\lambda\alpha}{\alpha-1}\tilde{v}(0)=\hat{v}^{\prime}(0)\tilde{v}(0)=(v_{0}-1)\hat{v}_{0}\tilde{v}(0).

Hereafter, we drop the tildes.

Proof of Proposition 3.6.

Multiplying (110b) by v^u¯/(1v^){\hat{v}}\bar{u}/(1-{\hat{v}}) and integrating on [a,0][a,0]\subset\mathbb{R}^{-}, we obtain

λa0v^1v^|u|2𝑑x+abv^1v^uu¯𝑑xa0vu¯𝑑x=a0u′′u¯1v^𝑑x.\lambda\int^{0}_{a}\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}dx+\int^{b}_{a}\frac{{\hat{v}}}{1-{\hat{v}}}u^{\prime}\bar{u}dx-\int^{0}_{a}v^{\prime}\bar{u}dx=\int^{0}_{a}\frac{u^{\prime\prime}\bar{u}}{1-{\hat{v}}}dx.

Integrating the third and fourth terms by parts yields

λa0v^1v^|u|2𝑑x\displaystyle\lambda\int^{0}_{a}\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}dx +a0[v^1v^+(11v^)]uu¯𝑑x\displaystyle+\int^{0}_{a}\left[\frac{{\hat{v}}}{1-{\hat{v}}}+\left(\frac{1}{1-{\hat{v}}}\right)^{\prime}\right]u^{\prime}\bar{u}dx
+a0|u|21v^𝑑x+a0v(λv+v¯)𝑑x\displaystyle\quad+\int^{0}_{a}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx+\int^{0}_{a}v(\overline{\lambda v+v^{\prime}})dx
=[vu¯+uu¯1v^]|a0.\displaystyle=\left[v\bar{u}+\frac{u^{\prime}\bar{u}}{1-{\hat{v}}}\right]\Big{|}^{0}_{a}.

Taking the real part, we have

e(λ)a0(v^1v^|u|2+|v|2)𝑑x+a0g(v^)|u|2𝑑x+a0|u|21v^𝑑x\displaystyle\Re e(\lambda)\int^{0}_{a}\left(\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}+|v|^{2}\right)dx+\int^{0}_{a}g({\hat{v}})|u|^{2}dx+\int^{0}_{a}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx
(114) =e[vu¯+uu¯1v^12[v^1v^+(11v^)]|u|2|v|22]|a0,\displaystyle\quad=\Re e\left[v\bar{u}+\frac{u^{\prime}\bar{u}}{1-{\hat{v}}}-\frac{1}{2}\left[\frac{{\hat{v}}}{1-{\hat{v}}}+\left(\frac{1}{1-{\hat{v}}}\right)^{\prime}\right]|u|^{2}-\frac{|v|^{2}}{2}\right]\Big{|}^{0}_{a},

where

g(v^)=12[(v^1v^)+(11v^)′′]0g({\hat{v}})=-\frac{1}{2}\left[\left(\frac{{\hat{v}}}{1-{\hat{v}}}\right)^{\prime}+\left(\frac{1}{1-{\hat{v}}}\right)^{\prime\prime}\right]\equiv 0

and the third term on the right-hand side vanishes, as shown in Section C, leaving

e(λ)a0(v^1v^|u|2+|v|2)𝑑x\displaystyle\Re e(\lambda)\int^{0}_{a}\left(\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}+|v|^{2}\right)dx +a0|u|21v^𝑑x\displaystyle+\int^{0}_{a}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx
=[e(vu¯)+e(uu¯)1v^|v|22]|a0.\displaystyle\quad=\left[\Re e(v\bar{u})+\frac{\Re e(u^{\prime}\bar{u})}{1-{\hat{v}}}-\frac{|v|^{2}}{2}\right]\Big{|}^{0}_{a}.

A boundary analysis similar to that of Section C shows that the contribution at aa on the righthand side vanishes as aa\to-\infty; see [12] for details. Thus, in the limit as aa\to-\infty we obtain

e(λ)0(v^1v^|u|2+|v|2)𝑑x\displaystyle\Re e(\lambda)\int^{0}_{-\infty}\left(\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}+|v|^{2}\right)dx +0|u|21v^𝑑x\displaystyle+\int^{0}_{-\infty}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx
=[e(vu¯)+e(uu¯)1v^|v|22](0)\displaystyle\quad=\left[\Re e(v\bar{u})+\frac{\Re e(u^{\prime}\bar{u})}{1-{\hat{v}}}-\frac{|v|^{2}}{2}\right](0)
=[(1v0)e(vu¯)|v|22](0),\displaystyle\quad=\left[(1-v_{0})\Re e(v\bar{u})-\frac{|v|^{2}}{2}\right](0),
[(1v0)|v||u||v|22](0)\displaystyle\quad\leq\left[(1-v_{0})|v||u|-\frac{|v|^{2}}{2}\right](0)
(1v0)2|u(0)|22,\displaystyle\quad\leq(1-v_{0})^{2}\frac{|u(0)|^{2}}{2},

where the second equality follows by (113) and the final line by Young’s inequality.

Next, observe the Sobolev-type bound

|u(0)|2\displaystyle|u(0)|^{2} (0|u(x)|𝑑x)20|u|21v^(x)𝑑x0(1v^)(x)𝑑x,\displaystyle\leq\Big{(}\int_{-\infty}^{0}|u^{\prime}(x)|dx\Big{)}^{2}\leq\int_{-\infty}^{0}\frac{|u^{\prime}|^{2}}{1-\hat{v}}(x)dx\int_{-\infty}^{0}(1-\hat{v})(x)dx,

together with

0(1v^)(x)𝑑x\displaystyle\int_{-\infty}^{0}(1-\hat{v})(x)dx =0v^v^(x)dx=0(logv^1)(x)𝑑x=logv01,\displaystyle=\int_{-\infty}^{0}-\frac{\hat{v}^{\prime}}{\hat{v}}(x)dx=\int_{-\infty}^{0}(\log\hat{v}^{-1})^{\prime}(x)dx=\log v_{0}^{-1},

hence 0(1v^)(x)𝑑x<2(1v0)2\int_{-\infty}^{0}(1-\hat{v})(x)dx<\frac{2}{(1-v_{0})^{2}} for v0>vv_{0}>v_{*}, where v<e2v_{*}<e^{-2} is the unique solution of

(115) v=e2/(1v)2.v_{*}=e^{-2/(1-v_{*})^{2}}.

Thus, for v0>vv_{0}>v_{*},

(116) e(λ)0(v^1v^|u|2+|v|2)𝑑x+ϵ0|u|21v^𝑑x0,\Re e(\lambda)\int^{0}_{-\infty}\left(\frac{{\hat{v}}}{1-{\hat{v}}}|u|^{2}+|v|^{2}\right)dx+\epsilon\int^{0}_{-\infty}\frac{|u^{\prime}|^{2}}{1-{\hat{v}}}dx\leq 0,

for ϵ:=(1v0)2210(1v^)(x)𝑑x>0\epsilon:=\frac{(1-v_{0})^{2}}{2}-\frac{1}{\int_{-\infty}^{0}(1-\hat{v})(x)dx}>0. For eλ0\Re e\lambda\geq 0, this implies u0u^{\prime}\equiv 0, or uconstantu\equiv\hbox{\rm constant}, which, by u()=0u(-\infty)=0, implies u0u\equiv 0. This reduces (110a) to v=λvv^{\prime}=\lambda v, yielding the explicit solution v=Ceλxv=Ce^{\lambda x}. By v(0)=0v(0)=0, therefore, v0v\equiv 0 for eλ0\Re e\lambda\geq 0. It follows that there are no nontrivial solutions of (110), (111) for eλ0\Re e\lambda\geq 0 except at λ=0\lambda=0.

By iteration, starting with v0v_{*}\approx 0, we obtain first v<e20.14v_{*}<e^{-2}\approx 0.14 then v>e2/(1.14)2.067v_{*}>e^{2/(1-.14)^{2}}\approx.067, then v<e2/(1.067)2.10v_{*}<e^{2/(1-.067)^{2}}\approx.10, then v>e2/(1.10)2.085v_{*}>e^{2/(1-.10)^{2}}\approx.085, then v<e2/(1.085).091v_{*}<e^{2/(1-.085)}\approx.091 and v>e2/(1.091).0889v_{*}>e^{2/(1-.091)}\approx.0889, terminating with v.0899v_{*}\approx.0899. ∎

Remark D.1.

Our Evans function results show that the case v0v_{0} small not treated corresponds to the shock limit for which stability is already known by [12]. This suggests that a more sophisticated energy estimate combining the above with a boundary-layer analysis from x=0x=0 back to x=L+δx=L+\delta might yield nonvanishing for all 1>v0>01>v_{0}>0.

Appendix E The characteristic limit: outflow case

We now show stability of compressive outflow boundary layers in the characteristic limit v+1v_{+}\to 1, by essentially the same energy estimate used in [18] to show stability of small-amplitude shock waves.

As in the above section on the outflow case, we obtain a system

(117a) λv~+v~u~=0,\displaystyle\lambda\tilde{v}+\tilde{v}^{\prime}-\tilde{u}^{\prime}=0,
(117b) λu~+u~h(v^)v^γ+1v~=u~′′v^.\displaystyle\lambda\tilde{u}+\tilde{u}^{\prime}-\frac{h({\hat{v}})}{{\hat{v}}^{\gamma+1}}\tilde{v}^{\prime}=\frac{\tilde{u}^{\prime\prime}}{{\hat{v}}}.

identical to that in the integrated shock case [3], but with boundary conditions

(118) v~(0)=λα1v~(0),u~(0)=αv~(0).\tilde{v}^{\prime}(0)=\frac{\lambda}{\alpha-1}\tilde{v}(0),\quad\tilde{u}^{\prime}(0)=\alpha\tilde{v}^{\prime}(0).

In particular,

(119) u~(0)=λαα1v~(0)=v^(0)v~(0).\tilde{u}^{\prime}(0)=\frac{\lambda\alpha}{\alpha-1}\tilde{v}(0)=\hat{v}^{\prime}(0)\tilde{v}(0).

This new eigenvalue problem differs spectrally from (22) only at λ=0\lambda=0, hence spectral stability of (22) is implied by spectral stability of (117). Hereafter, we drop the tildes, and refer simply to uu, vv.

Proof of Proposition 3.7.

We note that h(v^)>0h({\hat{v}})>0. By multiplying (117b) by both the conjugate u¯\bar{u} and v^γ+1/h(v^){\hat{v}}^{\gamma+1}/h({\hat{v}}) and integrating along xx from -\infty to 0, we have

0λuu¯v^γ+1h(v^)𝑑x+0uu¯v^γ+1h(v^)𝑑x0vu¯𝑑x=0u′′u¯v^γh(v^)𝑑x.\int_{-\infty}^{0}{\frac{\lambda u\bar{u}{\hat{v}}^{\gamma+1}}{h({\hat{v}})}}dx+\int_{-\infty}^{0}{\frac{u^{\prime}\bar{u}{\hat{v}}^{\gamma+1}}{h({\hat{v}})}}dx-\int_{-\infty}^{0}{v^{\prime}\bar{u}}dx=\int_{-\infty}^{0}{\frac{u^{\prime\prime}\bar{u}{\hat{v}}^{\gamma}}{h({\hat{v}})}}dx.

Integrating the last three terms by parts and appropriately using (117a) to substitute for uu^{\prime} in the third term gives us

0λ|u|2v^γ+1h(v^)𝑑x\displaystyle\int_{-\infty}^{0}{\frac{\lambda|u|^{2}{\hat{v}}^{\gamma+1}}{h({\hat{v}})}}dx +0uu¯v^γ+1h(v^)𝑑x+0v(λv+v¯)𝑑x+0v^γ|u|2h(v^)𝑑x\displaystyle+\int_{-\infty}^{0}{\frac{u^{\prime}\bar{u}{\hat{v}}^{\gamma+1}}{h({\hat{v}})}}dx+\int_{-\infty}^{0}{v(\overline{\lambda v+v^{\prime}})}dx+\int_{-\infty}^{0}{\frac{{\hat{v}}^{\gamma}|u^{\prime}|^{2}}{h({\hat{v}})}}dx
=0(v^γh(v^))uu¯𝑑x+[vu¯+vγuu¯h(v^)]|x=0.\displaystyle=-\int_{-\infty}^{0}{\left(\frac{{\hat{v}}^{\gamma}}{h({\hat{v}})}\right)^{\prime}u^{\prime}\bar{u}}dx+\left[v\bar{u}+\frac{v^{\gamma}u^{\prime}\bar{u}}{h(\hat{v})}\right]\Big{|}_{x=0}.

We take the real part and appropriately integrate by parts to get

(120) e(λ)0[v^γ+1h(v^)|u|2+|v|2]𝑑x+0g(v^)|u|2𝑑x+0v^γh(v^)|u|2𝑑x=G(0),\displaystyle\Re e(\lambda)\int_{-\infty}^{0}{\left[\frac{{\hat{v}}^{\gamma+1}}{h({\hat{v}})}|u|^{2}+|v|^{2}\right]}dx+\int_{-\infty}^{0}{g({\hat{v}})|u|^{2}}dx+\int_{-\infty}^{0}{\frac{{\hat{v}}^{\gamma}}{h({\hat{v}})}|u^{\prime}|^{2}}dx=G(0),

where

g(v^)=12[(v^γ+1h(v^))+(v^γh(v^))′′]g({\hat{v}})=-\frac{1}{2}\left[\left(\frac{{\hat{v}}^{\gamma+1}}{h({\hat{v}})}\right)^{\prime}+\left(\frac{{\hat{v}}^{\gamma}}{h({\hat{v}})}\right)^{\prime\prime}\right]

and

G(0)=12[v^γ+1h(v^)+(v^γh(v^))]|u|2+e[vu¯+vγuu¯h(v^)]|v|22G(0)=-\frac{1}{2}\left[\frac{{\hat{v}}^{\gamma+1}}{h({\hat{v}})}+\left(\frac{{\hat{v}}^{\gamma}}{h({\hat{v}})}\right)^{\prime}\right]|u|^{2}+\Re e\left[v\bar{u}+\frac{v^{\gamma}u^{\prime}\bar{u}}{h(\hat{v})}\right]-\frac{|v|^{2}}{2}

evaluated at x=0x=0. Here, the boundary term appearing on the righthand side is the only difference from the corresponding estimate appearing in the treatment of the shock case in [18, 3]. We shall show that as v^+1\hat{v}_{+}\to 1, the boundary term G(0)G(0) is nonpositive. Observe that boundary conditions yield

[vu¯+vγuu¯h(v^)]|x=0=e(v(0)u¯(0))[1+v^γv^h(v^)]|x=0.\left[v\bar{u}+\frac{v^{\gamma}u^{\prime}\bar{u}}{h(\hat{v})}\right]\Big{|}_{x=0}=\Re e(v(0)\bar{u}(0))\left[1+\frac{\hat{v}^{\gamma}\hat{v}^{\prime}}{h(\hat{v})}\right]\Big{|}_{x=0}.

We first note, as established in [18, 3], that g(v^)0g({\hat{v}})\geq 0 on [v+,1][v_{+},1], under certain conditions including the case v^+1\hat{v}_{+}\to 1. Straightforward computation gives identities:

(121) γh(v^)v^h(v^)\displaystyle\gamma h({\hat{v}})-{\hat{v}}h^{\prime}({\hat{v}}) =aγ(γ1)+v^γ+1and\displaystyle=a\gamma(\gamma-1)+{\hat{v}}^{\gamma+1}\quad\mbox{and}
(122) v^γ1v^x\displaystyle{\hat{v}}^{\gamma-1}{\hat{v}}_{x} =aγh(v^).\displaystyle=a\gamma-h({\hat{v}}).

Using (121) and (122), we abbreviate a few intermediate steps below:

g(v^)\displaystyle g({\hat{v}}) =v^x2[(γ+1)v^γh(v^)v^γ+1h(v^)h(v^)2+ddv^[γv^γ1h(v^)v^γh(v^)h(v^)2v^x]]\displaystyle=-\frac{{\hat{v}}_{x}}{2}\left[\frac{(\gamma+1){\hat{v}}^{\gamma}h({\hat{v}})-{\hat{v}}^{\gamma+1}h^{\prime}({\hat{v}})}{h({\hat{v}})^{2}}+\frac{d}{d{\hat{v}}}\left[\frac{\gamma{\hat{v}}^{\gamma-1}h({\hat{v}})-{\hat{v}}^{\gamma}h^{\prime}({\hat{v}})}{h({\hat{v}})^{2}}{\hat{v}}_{x}\right]\right]
=v^x2[v^γ((γ+1)h(v^)v^h(v^))h(v^)2+ddv^[γh(v^)v^h(v^)h(v^)2(aγh(v^))]]\displaystyle=-\frac{{\hat{v}}_{x}}{2}\left[\frac{{\hat{v}}^{\gamma}\left((\gamma+1)h({\hat{v}})-{\hat{v}}h^{\prime}({\hat{v}})\right)}{h({\hat{v}})^{2}}+\frac{d}{d{\hat{v}}}\left[\frac{\gamma h({\hat{v}})-{\hat{v}}h^{\prime}({\hat{v}})}{h({\hat{v}})^{2}}(a\gamma-h({\hat{v}}))\right]\right]
=av^xv^γ12h(v^)3×\displaystyle=-\frac{a{\hat{v}}_{x}{\hat{v}}^{\gamma-1}}{2h({\hat{v}})^{3}}\times
[γ2(γ+1)v^γ+22(a+1)γ(γ21)v^γ+1+(a+1)2γ2(γ1)v^γ\displaystyle\qquad\left[\gamma^{2}(\gamma+1){\hat{v}}^{\gamma+2}-2(a+1)\gamma(\gamma^{2}-1){\hat{v}}^{\gamma+1}+(a+1)^{2}\gamma^{2}(\gamma-1){\hat{v}}^{\gamma}\right.
+aγ(γ+2)(γ21)v^a(a+1)γ2(γ21)]\displaystyle\qquad\qquad+\left.a\gamma(\gamma+2)(\gamma^{2}-1){\hat{v}}-a(a+1)\gamma^{2}(\gamma^{2}-1)\right]
(123) =av^xv^γ12h(v^)3[(γ+1)v^γ+2+v^γ(γ1)((γ+1)v^(a+1)γ)2\displaystyle=-\frac{a{\hat{v}}_{x}{\hat{v}}^{\gamma-1}}{2h({\hat{v}})^{3}}[(\gamma+1){\hat{v}}^{\gamma+2}+{\hat{v}}^{\gamma}(\gamma-1)\left((\gamma+1){\hat{v}}-(a+1)\gamma\right)^{2}
+aγ(γ21)(γ+2)v^a(a+1)γ2(γ21)]\displaystyle\qquad+a\gamma(\gamma^{2}-1)(\gamma+2){\hat{v}}-a(a+1)\gamma^{2}(\gamma^{2}-1)]
av^xv^γ12h(v^)3[(γ+1)v^γ+2+aγ(γ21)(γ+2)v^a(a+1)γ2(γ21)]\displaystyle\geq-\frac{a{\hat{v}}_{x}{\hat{v}}^{\gamma-1}}{2h({\hat{v}})^{3}}[(\gamma+1){\hat{v}}^{\gamma+2}+a\gamma(\gamma^{2}-1)(\gamma+2){\hat{v}}-a(a+1)\gamma^{2}(\gamma^{2}-1)]
(124) γ2a3v^x(γ+1)2h(v^)3v+[(v+γ+1aγ)2+2(γ1)(v+γ+1aγ)(γ1)].\displaystyle\geq-\frac{\gamma^{2}a^{3}{\hat{v}}_{x}(\gamma+1)}{2h({\hat{v}})^{3}v_{+}}\left[\left(\frac{v_{+}^{\gamma+1}}{a\gamma}\right)^{2}+2(\gamma-1)\left(\frac{v_{+}^{\gamma+1}}{a\gamma}\right)-(\gamma-1)\right].

This verifies g(v^)0g(\hat{v})\geq 0 as v^+1\hat{v}_{+}\to 1.

Second, examine

G(0)=12[v^γ+1h(v^)+(v^γh(v^))]|u(0)|2+[1+v^γv^h(v^)]e(v(0)u¯(0))|v(0)|22.G(0)=-\frac{1}{2}\left[\frac{{\hat{v}}^{\gamma+1}}{h({\hat{v}})}+\left(\frac{{\hat{v}}^{\gamma}}{h({\hat{v}})}\right)^{\prime}\right]|u(0)|^{2}+\left[1+\frac{\hat{v}^{\gamma}\hat{v}^{\prime}}{h(\hat{v})}\right]\Re e(v(0)\bar{u}(0))-\frac{|v(0)|^{2}}{2}.

Applying Young’s inequality to the middle term, we easily get

G(0)12[v^γ+1h(v^)+(v^γh(v^))(1+v^γv^h(v^))2]|u(0)|2=:12I|u(0)|2.G(0)\leq-\frac{1}{2}\left[\frac{{\hat{v}}^{\gamma+1}}{h({\hat{v}})}+\left(\frac{{\hat{v}}^{\gamma}}{h({\hat{v}})}\right)^{\prime}-\left(1+\frac{\hat{v}^{\gamma}\hat{v}^{\prime}}{h(\hat{v})}\right)^{2}\right]|u(0)|^{2}=:-\frac{1}{2}I|u(0)|^{2}.

Now observe that II can be written as

I=v^γ+1h(v^)\displaystyle I=\frac{{\hat{v}}^{\gamma+1}}{h({\hat{v}})} 1+[γv^γ1h(v^)2v^γh(v^)v^2γv^h2(v^)]v^v^γh(v^)h2(v^).\displaystyle-1+\left[\frac{\gamma\hat{v}^{\gamma-1}}{h(\hat{v})}-\frac{2\hat{v}^{\gamma}}{h(\hat{v})}-\frac{\hat{v}^{2\gamma}\hat{v}^{\prime}}{h^{2}(\hat{v})}\right]\hat{v}^{\prime}-\frac{\hat{v}^{\gamma}h^{\prime}(\hat{v})}{h^{2}(\hat{v})}.

Using (121) and (122), we get

v^γ+1h(v^)1=(γ1)v^γ1v^+v^h(v^)h(v^)\frac{{\hat{v}}^{\gamma+1}}{h({\hat{v}})}-1=-\frac{(\gamma-1)\hat{v}^{\gamma-1}\hat{v}^{\prime}+\hat{v}h^{\prime}(\hat{v})}{h(\hat{v})}

and thus

I=(γ1)v^γ1v^+v^h(v^)h(v^)+[γv^γ1h(v^)2v^γh(v^)v^2γv^h2(v^)]v^v^γh(v^)h2(v^).\displaystyle I=-\frac{(\gamma-1)\hat{v}^{\gamma-1}\hat{v}^{\prime}+\hat{v}h^{\prime}(\hat{v})}{h(\hat{v})}+\left[\frac{\gamma\hat{v}^{\gamma-1}}{h(\hat{v})}-2\frac{\hat{v}^{\gamma}}{h(\hat{v})}-\frac{\hat{v}^{2\gamma}\hat{v}^{\prime}}{h^{2}(\hat{v})}\right]\hat{v}^{\prime}-\frac{\hat{v}^{\gamma}h^{\prime}(\hat{v})}{h^{2}(\hat{v})}.

Now since h(v^)=(γ+1)v^γv^+(a+1)γv^γ1v^h^{\prime}(\hat{v})=-(\gamma+1)\hat{v}^{\gamma}\hat{v}^{\prime}+(a+1)\gamma\hat{v}^{\gamma-1}\hat{v}^{\prime}, as v^+1\hat{v}_{+}\to 1, Iv^0I\sim-\hat{v}^{\prime}\geq 0. Therefore, as v^+\hat{v}_{+} is close to 11, G(0)14v^(0)|u(0)|20G(0)\leq\frac{1}{4}\hat{v}^{\prime}(0)|u(0)|^{2}\leq 0. This, g(v^)0g(\hat{v})\geq 0, and (120) give, as v^+\hat{v}_{+} is close enough to 11,

(125) e(λ)0[v^γ+1h(v^)|u|2+|v|2]𝑑x\displaystyle\Re e(\lambda)\int_{-\infty}^{0}{\left[\frac{{\hat{v}}^{\gamma+1}}{h({\hat{v}})}|u|^{2}+|v|^{2}\right]}dx +0v^γh(v^)|u|2𝑑x0,\displaystyle+\int_{-\infty}^{0}{\frac{{\hat{v}}^{\gamma}}{h({\hat{v}})}|u^{\prime}|^{2}}dx\leq 0,

which evidently gives stability as claimed. ∎

Appendix F Nonvanishing of DinD_{\rm in}: expansive inflow case

For completeness, we recall the argument of [19] in the expansive inflow case.

Profile equation. Note that, in the expansive inflow case, we assume v0<v+v_{0}<v_{+}. Therefore we can still follow the scaling (12) to get

0<v0<v+=1.0<v_{0}<v_{+}=1.

Then the stationary boundary layer (v^,u^)(\hat{v},\hat{u}) satisfies (15) with v0<v+=1v_{0}<v_{+}=1. Now by integrating (16) from xx to ++\infty with noting that v^(+)=1\hat{v}(+\infty)=1 and v^(+)=0\hat{v}^{\prime}(+\infty)=0, we get the profile equation

v^=v^(v^1+a(v^γ1)).\hat{v}^{\prime}=\hat{v}(\hat{v}-1+a(\hat{v}^{-\gamma}-1)).

Note that v^>0\hat{v}^{\prime}>0. We now follow the same method for compressive inflow case to get the following eigenvalue system

(126a) λv+vu=0,\displaystyle\lambda v+v^{\prime}-u^{\prime}=0,
(126b) λu+u(fv)=(uv^).\displaystyle\lambda u+u^{\prime}-(fv)^{\prime}=\left(\frac{u^{\prime}}{{\hat{v}}}\right)^{\prime}.

with boundary conditions

(127) u(0)=v(0)=0,u(0)=v(0)=0,

where f(v^)=h(v^)v^γ+1f(\hat{v})=\frac{h(\hat{v})}{\hat{v}^{\gamma+1}}.

Proof of Proposition 3.8.

Multiply the equation (126b) by u¯\bar{u} and integrate along xx. By integration by parts, we get

λ0|u|2𝑑x+0uu¯+fvu¯+|u|2v^dx=0.\lambda\int_{0}^{\infty}{|u|^{2}}dx+\int_{0}^{\infty}{u^{\prime}\bar{u}+fv\bar{u}^{\prime}+\frac{|u^{\prime}|^{2}}{\hat{v}}}dx=0.

Using (126a) and taking the real part of the above yield

(128) eλ0|u|2+f|v|2dx120f|v|2𝑑x+0|u|2v^𝑑x=0.\displaystyle\Re e\lambda\int_{0}^{\infty}{|u|^{2}+f|v|^{2}}dx-\frac{1}{2}\int_{0}^{\infty}{f^{\prime}|v|^{2}}dx+\int_{0}^{\infty}{\frac{|u^{\prime}|^{2}}{\hat{v}}}dx=0.

Note that

f=(1+a+a(γ21)v^γ)v^v^20f^{\prime}=\left(1+a+\frac{a(\gamma^{2}-1)}{\hat{v}^{\gamma}}\right)\frac{-\hat{v}^{\prime}}{\hat{v}^{2}}\leq 0

which together with (128) gives eλ<0\Re e\lambda<0, the proposition is proved. ∎

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