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Weakly Nonlinear Analysis of Peanut-Shaped Deformations for Localized Spots of Singularly Perturbed Reaction-Diffusion Systems

Tony Wong Dept. of Mathematics, Univ. of British Columbia, Vancouver, B.C., Canada.    Michael J. Ward11footnotemark: 1 corresponding author, ward@math.ubc.ca
Abstract

Spatially localized 2-D spot patterns occur for a wide variety of two component reaction-diffusion systems in the singular limit of a large diffusivity ratio. Such localized, far-from-equilibrium, patterns are known to exhibit a wide range of different instabilities such as breathing oscillations, spot annihilation, and spot self-replication behavior. Prior numerical simulations of the Schnakenberg and Brusselator systems have suggested that a localized peanut-shaped linear instability of a localized spot is the mechanism initiating a fully nonlinear spot self-replication event. From a development and implementation of a weakly nonlinear theory for shape deformations of a localized spot, it is shown through a normal form amplitude equation that a peanut-shaped linear instability of a steady-state spot solution is always subcritical for both the Schnakenberg and Brusselator reaction-diffusion systems. The weakly nonlinear theory is validated by using the global bifurcation software pde2path [H. Uecker et al., Numerical Mathematics: Theory, Methods and Applications, 7(1), (2014)] to numerically compute an unstable, non-radially symmetric, steady-state spot solution branch that originates from a symmetry-breaking bifurcation point.

1 Introduction

Spatially localized patterns arise in a diverse range of applications including, the ferrocyanide-iodate-sulphite (FIS) reaction (cf. [14], [15]), the chloride-dioxide-malonic acid reaction (cf. [6]), certain electronic gas discharge systems [1], fluid-convection phenomena [10], and the emergence of plant root hair cells mediated by the plant hormone auxin (cf. [2]), among others. One qualitatively novel feature in many of these settings is the observation that spatially localized spot-type patterns can undergo a seemingly spontaneous self-replication process.

Many of these observed localized patterns, most notably those in chemical physics and biology, are modeled by nonlinear reaction-diffusion (RD) systems. In [25], where the two-component Gray-Scott RD model was used to qualitatively model the FIS reaction, full PDE simulations revealed a wide variety of highly complex spatio-temporal localized patterns including, self-replicating spot patterns, stripe patterns, and labyrinthian space-filling curves (see also [27], [19] and [20]). This numerical study showed convincingly that in the fully nonlinear regime a two-component RD system with seemingly very simple reaction kinetics can admit highly intricate solution behavior, which cannot be described by a conventional Turing stability analysis (cf. [31]) of some spatially uniform base state. For certain three-component RD systems in the limit of small diffusivity, Nishiura et. al. (cf. [23], [29]) showed from PDE simulations and a weakly nonlinear bifurcation analysis that a subcritical peanut-shaped instability of a localized radially symmetric spot plays a key role in understanding the dynamics of traveling spot solutions. These previous studies, partially motivated by the pioneering numerical study of [25], have provided the impetus for developing new theoretical approaches to analyze some of the novel dynamical behaviors and instabilities of localized patterns in RD systems in the “far-from-equilibrium” regime [21]. A survey of some novel phenomena and theoretical approaches associated with localized pattern formation problems are given in [36], [21] and [10]. The main goal of this paper is to use a weakly nonlinear analysis to study the onset of spot self-replication for certain two-component RD systems in the so-called “semi-strong” regime, characterized by a large diffusivity ratio between the solution components.

The derivation of amplitude, or normal form, equations using a multi-scale perturbation analysis is a standard approach for characterizing the weakly nonlinear development of small amplitude patterns near bifurcation points. It has been used with considerable success in physical applications, such as in hydrodynamic stability theory and materials science (cf. [5], [38]) and in biological and chemical modeling through RD systems defined in planar spatial domains and on the sphere (cf. [38], [17], [18], [3]). However, in certain applications, the effectiveness of normal form theory is limited owing to the existence of subcritical bifurcations (cf. [3]) or the need for an extreme fine-tuning of the model parameters in order to be within the range of validity of the theory (cf. [43]). In contrast to the relative ease in undertaking a weakly nonlinear theory for an RD system near a Turing bifurcation point of the linearization around a spatially uniform or patternless state, it is considerably more challenging to implement such a theory for spatially localized steady-state patterns. This is owing to the fact that the linearization of the RD system around a spatially localized spot solution leads to a singularly perturbed eigenvalue problem in which the underlying linearized operator is spatially heterogeneous. In addition, various terms in the multi-scale expansion that are needed to derive the amplitude equation involve solving rather complicated spatially inhomogeneous boundary value problems. In this direction, a weakly nonlinear analysis of temporal amplitude oscillations (breathing instabilities) of 1-D spike patterns was developed for a class of generalized Gierer-Meinhardt (GM) models in [37] and for the Gray-Scott and Schnakenberg models in [9]. A criterion for whether these oscillations, emerging from a Hopf bifurcation point of the linearization, are subcritical or supercritical was derived. A related weakly nonlinear analysis for competition instabilities of 1-D steady-state spike patterns for the GM and Schnakenberg models, resulting from a zero-eigenvalue crossing of the linearization, was developed in [16]. Finally, for a class of coupled bulk-surface RD systems, a weakly nonlinear analysis for Turing, Hopf, and codimension-two Turing-Hopf bifurcations of a patterned base-state was derived in [24].

The focus of this paper is to develop and implement a weakly nonlinear theory to analyze branching behavior associated with peanut-shaped deformations of a locally radially symmetric steady-state spot solution for certain singularly perturbed RD systems. Previous numerical simulations of the Schnakenberg and Brusselator RD systems in [13], [28] and [32] (see also [30]) have indicated that a non-radially symmetric peanut-shape deformation of the spot profile can, in certain cases, trigger a fully nonlinear spot self-replication event. The parameter threshold for the onset of this shape deformation linear instability has been calculated in [13] and [28] for the Schnakenberg and Brusselator models, respectively. We will extend this linear theory by using a multi-scale perturbation approach to derive a normal form amplitude equation characterizing the local branching behavior associated with peanut-shaped instabilities of the spot profile. From a numerical evaluation of the coefficients in this amplitude equation we will show that a peanut-shaped instability of the spot profile is always subcritical for both the Schnakenberg and Brusselator models. This theoretical result supports the numerical findings in [13], [28] and [32] that a peanut-shaped instability of a localized spot is the trigger for a fully nonlinear spot-splitting event, and it solves an open problem discussed in the survey article [39].

The dimensionless Schnakenberg model in the two-dimensional unit disk Ω={𝐱:|𝐱|1}\Omega=\{\mathbf{x}:|\mathbf{x}|\leq 1\} is formulated as

vt=ε2Δvv+uv2,τut=DΔu+aε2uv2,𝐱Ω,v_{t}=\varepsilon^{2}\Delta v-v+uv^{2},\quad\quad\tau u_{t}=D\Delta u+a-\varepsilon^{-2}uv^{2},\quad\mathbf{x}\in\Omega\,, (1.1)

with nv=nu=0\partial_{n}v=\partial_{n}u=0 on Ω\partial\Omega. Here ε1\varepsilon\ll 1, D=𝒪(1)D=\mathcal{O}(1), τ=𝒪(1)\tau=\mathcal{O}(1), and the constant a>0a>0 is called the feed-rate. For a spot centered at the origin of the disk, the contour plot in Fig. 1 of vv at different times, as computed numerically from (1.1), shows a spot self-replication event as the feed-rate aa is slowly ramped above the threshold value ac8.6a_{c}\approx 8.6. At this threshold value of aa the spot profile becomes unstable to a peanut-shaped deformation (see §3 for the linear stability analysis).

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Figure 1: Contour plot of vv from a numerical solution of the Schnakenberg RD system (1.1) in the unit disk at four different times showing a spot self-replication event as the feed-rate aa is slowly increased past the peanut-shape instability threshold ac8.6a_{c}\approx 8.6 of a localized spot. Parameters are D=1D=1, τ=1\tau=1, ε=0.03\varepsilon=0.03 and a=min(8.6+0.06t,10)a=\mbox{min}(8.6+0.06\,t,10). Left: t=2t=2. Left-Middle: t=68t=68. Right-middle: t=74t=74. Right: t=82t=82.

Rigorous analytical results for the existence and linear stability of localized spot patterns for the Schnakenberg model (1.1) in the large DD regime D=𝒪(ν1)D=\mathcal{O}(\nu^{-1}), where ν=1/logε\nu={-1/\log\varepsilon}, are given in [41] and for the related Gray-Scott model in [40] (see [42] for a survey of such rigorous results). For the regime D=𝒪(1)D=\mathcal{O}(1), a hybrid analytical-numerical approach, which has the effect of summing all logarithmic terms in powers of ν\nu, was developed in [13] to construct quasi-equilibrium patterns, to analyze their linear stability properties, and to characterize slow spot dynamics. An extension of this hybrid methodology applied to other RD systems was given in [4], [28], [30], [32] and [2], and is surveyed in [39].

We remark that the mechanism underlying the self-replication of 1-D localized patterns is rather different than the more conventional symmetry-breaking mechanism that occurs in 2-D. In a one-dimensional domain, the self-replication behavior of spike patterns has been interpreted in terms of a nearly-coinciding hierarchical saddle-node global bifurcation structure of branches of multi-spike equilibria, together with the existence of a dimple-shaped eigenfunction of the linearization near the saddle-node point (see [22], [8], [7], [12], [35], [11], [19], [27] and the references therein).

The outline of this paper is as follows. For the Schnakenberg RD model (1.1), in §2 we use the method of matched asymptotic expansions to construct a steady-state, locally radially symmetric, spot solution centered at the origin of the unit disk. In §3 we perform a linear stability analysis for non-radially symmetric perturbations of this localized steady-state, and we numerically compute the threshold conditions for the onset of a peanut-shaped instability of a localized spot. Although much of this steady-state and linear stability theory has been described previously in [13], it provides the required background context for describing the new weakly nonlinear theory in §4. More specifically, in §4 we develop and implement a weakly nonlinear analysis to characterize the branching behavior associated with peanut-shaped instabilities of a localized spot. From a numerical evaluation of the coefficients in the resulting normal form amplitude equation we show that a peanut-shaped deformation of a localized spot is subcritical. By using the bifurcation software pde2path [34], the weakly nonlinear theory is validated in §4.1 by numerically computing an unstable non-radially symmetric steady-state spot solution branch that emerges from the peanut-shaped linear stability threshold of a locally radially symmetric spot solution. In §5 we perform a similar multi-scale asymptotic reduction to derive an amplitude equation characterizing the weakly nonlinear development of peanut-shaped deformations of a localized spot for the Brusselator RD model, originally introduced in [26]. From a numerical evaluation of the coefficients in this amplitude equation, which depend on a parameter in the Brusselator reaction-kinetics, it is shown that peanut-shaped linear instabilities are always subcritical. This theoretical result predicting subcriticality is again validated using pde2path [34]. In §6 we summarize a few key qualitative features of our hybrid analytical-numerical approach to derive the amplitude equation, and we discuss a few possible extensions of this work.

2 Asymptotic construction of steady state solution

We use the method of matched asymptotic expansions to construct a steady-state single spot solution centered at 𝐱0=𝟎\mathbf{x}_{0}=\mathbf{0} in the unit disk. In the inner region near 𝐱=0\mathbf{x}=0, we set

v=DV(𝐲),u=U(𝐲)/D,where𝐲=ε1𝐱.v=\sqrt{D}\,V(\mathbf{y})\,,\quad u={U(\mathbf{y})/\sqrt{D}}\,,\quad\mbox{where}\quad\mathbf{y}=\varepsilon^{-1}\mathbf{x}\,. (2.2)

In the inner region, for 𝐲2\mathbf{y}\in\mathbb{R}^{2}, the steady-state problem is

Δ𝐲VV+UV2=0,Δ𝐲UUV2+aε2D=0.\Delta_{\mathbf{y}}V-V+UV^{2}=0\,,\qquad\Delta_{\mathbf{y}}U-UV^{2}+\frac{a\varepsilon^{2}}{\sqrt{D}}=0\,. (2.3)

We seek a radially symmetric solution in the form V=V0(ρ)+o(1)V=V_{0}(\rho)+o(1) and U=U0(ρ)+o(1)U=U_{0}(\rho)+o(1), where ρ=|𝐲|\rho=|\mathbf{y}|. Upon neglecting the 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) terms, we obtain the core problem

ΔρV0V0+U0V02=0,ΔρU0U0V02=0,where Δρρρ+ρ1ρ,U0(0)=V0(0)=0;V00,U0Slogρ+χ(S)+o(1),asρ,\begin{split}&\Delta_{\rho}V_{0}-V_{0}+U_{0}V_{0}^{2}=0\,,\quad\Delta_{\rho}U_{0}-U_{0}V_{0}^{2}=0\,,\quad\mbox{where }\Delta_{\rho}\equiv\partial_{\rho\rho}+\rho^{-1}\partial_{\rho}\,,\\ &U_{0}^{\prime}(0)=V_{0}^{\prime}(0)=0\,;\quad V_{0}\to 0\,,\quad U_{0}\sim S\log\rho+\chi(S)+o(1)\,,\quad\mbox{as}\,\,\,\rho\to\infty\,,\end{split} (2.4)

In particular, we must allow U0U_{0} to have far-field logarithmic growth whose strength is characterized by the parameter S>0S>0, which will be determined below (see (2.8)) in terms of the feed rate parameter aa. The 𝒪(1)\mathcal{O}(1) term in the far-field behavior depends on SS, and is denoted by χ(S)\chi(S). It must be computed numerically from the BVP (2.4). A plot of the numerically-computed χ\chi versus SS is shown in Fig. 2. By integrating the U0U_{0} equation in (2.4), we obtain the identity that

S=0U0V02ρdρ.\displaystyle S=\int_{0}^{\infty}U_{0}V_{0}^{2}\,\rho\,\mathrm{d}\rho\,. (2.5)
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Figure 2: Numerical result for χ\chi versus the source strength parameter SS, as computed numerically from the BVP (2.4).

In the limit ε0\varepsilon\to 0, the term ε2uv2\varepsilon^{-2}uv^{2} in the outer region can be represented, in the sense of distributions, as a Dirac source term using the correspondence rule

ε2uv22πD(0U0V02ρ𝑑ρ)δ(𝐱)=2πSDδ(𝐱),\varepsilon^{-2}uv^{2}\to 2\pi\sqrt{D}\left(\int_{0}^{\infty}U_{0}V_{0}^{2}\rho\,d\rho\right)\,\delta(\mathbf{x})=2\pi S\sqrt{D}\,\delta(\mathbf{x})\,, (2.6)

where (2.5) was used. As a result, the outer problem for uu in (1.1) is

Δu=aD+2πSDδ(𝐱),𝐱Ω;nu=0,𝐱Ω.\Delta u=-\frac{a}{D}+\frac{2\pi S}{\sqrt{D}}\delta(\mathbf{x})\,,\quad\mathbf{x}\in\Omega\,;\qquad\partial_{n}u=0\,,\quad\mathbf{x}\in\partial\Omega\,. (2.7)

We integrate (2.7) over the disk and use the Divergence theorem and |Ω|=π|\Omega|=\pi, to get

S=a|Ω|2πD=a2D.S=\frac{a|\Omega|}{2\pi\sqrt{D}}=\frac{a}{2\sqrt{D}}\,. (2.8)

To represent the solution to (2.7) we introduce the Neumann Green’s function G(𝐱;𝐱0)G(\mathbf{x};\mathbf{x}_{0}) for the unit disk, which is defined uniquely by

ΔG=1|Ω|δ(𝐱𝐱0),𝐱Ω;nG=0,𝐱Ω;ΩG𝑑𝐱=0,G12πlog|𝐱𝐱0|+R0+o(1),as𝐱𝐱0,\begin{split}&\Delta G=\frac{1}{|\Omega|}-\delta(\mathbf{x}-\mathbf{x}_{0})\,,\quad\mathbf{x}\in\Omega\,;\qquad\partial_{n}G=0\,,\quad\mathbf{x}\in\partial\Omega;\\ &\int_{\Omega}G\,d\mathbf{x}=0\,,\quad G\sim-\frac{1}{2\pi}\log|\mathbf{x}-\mathbf{x}_{0}|+R_{0}+o(1)\,,\quad\mbox{as}\quad\mathbf{x}\to\mathbf{x}_{0}\,,\end{split} (2.9)

where R0R_{0} is the regular part of the Green’s function. The solution to (2.7) is

u=2πSDG(𝐱;𝟎)+u¯,u=-\frac{2\pi S}{\sqrt{D}}G(\mathbf{x};\mathbf{0})+\bar{u}\,, (2.10)

where u¯\bar{u} is a constant to be determined below by asymptotic matching the inner and outer solutions. The Neumann Green’s function with singularity at the origin is

G(𝐱;𝟎)=12πlog|𝐱|+|𝐱|24π38π.G(\mathbf{x};\mathbf{0})=-\frac{1}{2\pi}\log|\mathbf{x}|+\frac{|\mathbf{x}|^{2}}{4\pi}-\frac{3}{8\pi}\,. (2.11)

Therefore, by using (2.11) in (2.10), the outer solution uu satisfies

u=SDlog|𝐱|+3S4D+u¯+𝒪(|𝐱|2),as𝐱𝟎.u=\frac{S}{\sqrt{D}}\log|\mathbf{x}|+\frac{3S}{4\sqrt{D}}+\bar{u}+\mathcal{O}(|\mathbf{x}|^{2})\,,\quad\mbox{as}\quad\mathbf{x}\to\mathbf{0}\,. (2.12)

By using the far-field behavior of the inner solution UU in (2.4), we obtain for ρ1\rho\gg 1 that

u=UD1D[Slog|𝐱|+Sν+χ(S)],whereν1logε.u=\frac{U}{\sqrt{D}}\sim\frac{1}{\sqrt{D}}\left[S\log|\mathbf{x}|+\frac{S}{\nu}+\chi(S)\right]\,,\quad\mbox{where}\quad\nu\equiv-\frac{1}{\log\varepsilon}\,. (2.13)

From an asymptotic matching of (2.12) and (2.13), we identity u¯\bar{u} as

u¯=1D(χ(S)+Sν3S4).\bar{u}=\frac{1}{\sqrt{D}}\left(\chi(S)+\frac{S}{\nu}-\frac{3S}{4}\right)\,. (2.14)

Upon substituting (2.14) and (2.11) into (2.10) we conclude that the outer solution is

u=1D(Slog|𝐱|S|𝐱|22+χ(S)+Sν),whereS=a2D.u=\frac{1}{\sqrt{D}}\left(S\log|\mathbf{x}|-\frac{S|\mathbf{x}|^{2}}{2}+\chi(S)+\frac{S}{\nu}\right)\,,\qquad\mbox{where}\quad S=\frac{a}{2\sqrt{D}}\,. (2.15)
Remark 2.1

Our asymptotic approximation of matching the core solution to the outer solution effectively sums all the logarithmic term in the expansion in powers of ν\nu. (see [13] and the references therein). Since the spot is centered at the origin of the unit disk, there is no 𝒪(ε){\mathcal{O}}(\varepsilon) term in the local behavior near 𝐱=0\mathbf{x}=0 of the outer solution. More specifically, setting 𝐱=εy\mathbf{x}=\varepsilon y, the outer solution (2.15) yields

u1D(Slog|𝐲|+χ(S)Sε2|𝐲|22),u\sim\frac{1}{\sqrt{D}}\left(S\log|\mathbf{y}|+\chi(S)-\frac{S\varepsilon^{2}|\mathbf{y}|^{2}}{2}\right)\,, (2.16)

as we approach the inner region, which yields an unmatched 𝒪(ε2){\mathcal{O}}(\varepsilon^{2}) term. Together with (2.3), this implies that the steady-state inner solution has the asymptotics VV0+𝒪(ε2)V\sim V_{0}+{\mathcal{O}}(\varepsilon^{2}) and UU0+𝒪(ε2)U\sim U_{0}+{\mathcal{O}}(\varepsilon^{2}). This estimate is needed below in our weakly nonlinear analysis. In contrast, when a spot is not centered at its steady-state location, the correction to V0V_{0} and U0U_{0} in the inner expansion is 𝒪(ε){\mathcal{O}}(\varepsilon) and is determined by the gradient of the regular part of the Green’s function.

3 Linear stability analysis

In this section, we perform a linear stability analysis of the steady-state one-spot solution in the unit disk. For convenience, we will represent a column vector by the notation (u1,u2) or (u1u2).(u_{1},u_{2})\mbox{ or }\begin{pmatrix}u_{1}\\ u_{2}\end{pmatrix}. For a steady-state spot centered at the origin, we will formulate the linearized stability problem in the quarter disk, defined by Ω+={𝐱=(x,y):|𝐱|<1,x0,y0}\Omega_{+}=\{\mathbf{x}=(x,y)\,:\,\,|\mathbf{x}|<1,\,x\geq 0,\,y\geq 0\}.

Let ve,uev_{e},\,u_{e} be the steady-state spot solution centered at the origin. We introduce the perturbation

v=ve+eλtϕ,u=ue+eλtη,v=v_{e}+e^{\lambda t}\phi\,,\quad u=u_{e}+e^{\lambda t}\eta\,, (3.17)

into (1.1) and linearize. This leads to the singularly perturbed eigenvalue problem

ε2Δϕϕ+2ueveϕ+ve2η=λϕ,DΔηε2(2ueveϕ+ve2η)=τλη,\varepsilon^{2}\Delta\phi-\phi+2u_{e}v_{e}\phi+v_{e}^{2}\eta=\lambda\phi\,,\qquad D\Delta\eta-\varepsilon^{-2}(2u_{e}v_{e}\phi+v_{e}^{2}\eta)=\tau\lambda\eta\,, (3.18)

with nϕ=nη=0\partial_{n}\phi=\partial_{n}\eta=0 on Ω\partial\Omega.

In the inner region near 𝐱=𝟎\mathbf{x}=\mathbf{0} we introduce

(ϕη)=Re(eimθ)(Φ(ρ)N(ρ)/D),whereρ=|𝐲|=ε|𝐱|,θ=arg(𝐲),\begin{pmatrix}\phi\\ \eta\end{pmatrix}=\mathrm{Re}(e^{im\theta})\begin{pmatrix}\Phi(\rho)\\ N(\rho)/D\end{pmatrix}\,,\quad\mbox{where}\quad\rho=|\mathbf{y}|=\varepsilon|\mathbf{x}|\,,\quad\theta=\mbox{arg}(\mathbf{y})\,, (3.19)

with m=2,3,m=2,3,\ldots. With veDV0v_{e}\sim\sqrt{D}V_{0} and ueU0/Du_{e}\sim{U_{0}/\sqrt{D}}, we neglect the 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) terms to obtain the eigenvalue problem

m(ΦN)+(1+2U0V0V022U0V0V02)(ΦN)=λ(1000)(ΦN),\mathcal{L}_{m}\begin{pmatrix}\Phi\\ N\end{pmatrix}+\begin{pmatrix}-1+2U_{0}V_{0}&V_{0}^{2}\\ -2U_{0}V_{0}&-V_{0}^{2}\end{pmatrix}\begin{pmatrix}\Phi\\ N\end{pmatrix}=\lambda\begin{pmatrix}1&0\\ 0&0\end{pmatrix}\begin{pmatrix}\Phi\\ N\end{pmatrix}\,, (3.20)

where the operator m\mathcal{L}_{m} is defined by m𝚽=ρρ𝚽+ρ1ρ𝚽m2ρ2𝚽\mathcal{L}_{m}\mathbf{\Phi}=\partial_{\rho\rho}\mathbf{\Phi}+\rho^{-1}\partial_{\rho}\mathbf{\Phi}-m^{2}\rho^{-2}\mathbf{\Phi}. We seek eigenfunctions of (5.79) with Φ0\Phi\to 0 and N0N\to 0 as ρ\rho\to\infty. An unstable eigenvalue of this spectral problem satisfying Re(λ)>0\mbox{Re}(\lambda)>0 corresponds to a non-radially symmetric spot-deformation instability.

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Figure 3: Left panel: Plot of the quarter-disk geometry for the linearized stability problem with a steady-state spot centered at the origin when S=ScS=S_{c}. Right panel: Plot of the numerically computed real part of the eigenvalue λ0\lambda_{0} with the largest real part to (3.20) for angular mode m=2m=2. We compute Re(λ0)=0\mathrm{Re}(\lambda_{0})=0 (dotted line) when S=Sc4.3022S=S_{c}\approx 4.3022 (see also [13]).

For each angular mode m=2,3,m=2,3,\ldots, the eigenvalue λ0\lambda_{0} of (3.20) with the largest real part is a function of the source strength SS. To determine λ0\lambda_{0} we discretize (3.20) as done in [13] to obtain a finite-dimensional generalized eigenvalue problem. We calculate λ0\lambda_{0} numerically from this discretized problem, with the results shown in the right panel of Fig. 3. In the left panel of Fig. 3 we show the quarter-disk geometry.

For the angular mode m=2m=2, we find that Re(λ0)=0\mathrm{Re}(\lambda_{0})=0 when S=Sc4.3022S=S_{c}\approx 4.3022, which agrees with the result first obtained in [13]. At this critical value of SS, we define

Vc(ρ)V0(ρ;Sc),Uc(ρ)U0(ρ;Sc),Mc(1+2UcVcVc22UcVcVc2),V_{c}(\rho)\equiv V_{0}(\rho\,;S_{c}),\quad U_{c}(\rho)\equiv U_{0}(\rho\,;S_{c})\,,\quad M_{c}\equiv\begin{pmatrix}-1+2U_{c}V_{c}&V_{c}^{2}\\ -2U_{c}V_{c}&-V_{c}^{2}\end{pmatrix}\,, (3.21)

so that there exists a non-trivial solution, labeled by 𝚽c(Φc,Nc)\mathbf{\Phi}_{c}\equiv(\Phi_{c},N_{c}), to

2𝚽c+Mc𝚽c=𝟎.\mathcal{L}_{2}\mathbf{\Phi}_{c}+M_{c}\mathbf{\Phi}_{c}=\mathbf{0}\,. (3.22)

For m=2m=2, we have that Φc0\Phi_{c}\to 0 exponentially as ρ\rho\to\infty and Nc=𝒪(ρ2)N_{c}=\mathcal{O}(\rho^{-2}) as ρ\rho\to\infty. As such, we impose ρNc2Nc/ρ\partial_{\rho}N_{c}\sim-2{N_{c}/\rho} for ρ1\rho\gg 1. Since (3.22) is a linear homogeneous system, the solution is unique up to a multiplicative constant. We normalize the solution to (3.22) using the condition

0Φc2ρ𝑑ρ=1.\int_{0}^{\infty}\Phi_{c}^{2}\,\rho\,d\rho=1\,. (3.23)

A plot of the numerically computed inner solution VcV_{c} and UcU_{c} is shown in Fig. 4.

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Figure 4: Numerical solution to (2.4) at the peanut-splitting threshold S=Sc4.3022S=S_{c}\approx 4.3022. Left panel: Vc=V0(ρ;Sc)V_{c}=V_{0}(\rho;S_{c}). Right panel: Uc=U0(ρ;Sc)U_{c}=U_{0}(\rho;S_{c}).

Next, for S=ScS=S_{c}, it follows that there exists a nontrivial solution 𝚽𝐜=(Φc,Nc)\mathbf{\Phi_{c}}^{*}=(\Phi_{c}^{*},N_{c}^{*}) to the adjoint problem

2𝚽𝐜+McT𝚽𝐜=𝟎,Φc0,ρNc2Ncρasρ,\mathcal{L}_{2}\mathbf{\Phi_{c}^{*}}+M_{c}^{T}\mathbf{\Phi_{c}^{*}}=\mathbf{0}\,,\quad\Phi_{c}^{*}\to 0\,,\quad\partial_{\rho}N_{c}^{*}\sim-\frac{2N_{c}^{*}}{\rho}\quad\mbox{as}\quad\rho\to\infty\,, (3.24)

for which we impose the convenient normalization condition 0(Φc)2ρ𝑑ρ=1\int_{0}^{\infty}(\Phi_{c}^{*})^{2}\rho\,d\rho=1.

In Fig. 5 we plot the numerically computed nullvector Φc\Phi_{c} and NcN_{c}, satisfying (3.22), as well as the adjoint Φc\Phi_{c}^{*} and NcN_{c}^{*}, satisfying (3.24).

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Figure 5: The numerically computed null vector and the adjoint satisfying (3.22) and (3.24), respectively. Left panel: Φc\Phi_{c} and NcN_{c} versus ρ\rho. Right panel: Φc\Phi_{c}^{*} and NcN_{c}^{*} versus ρ\rho.

3.1 Eigenvalue of splitting perturbation theory

In this subsection we calculate the change in the eigenvalue associated with the mode m=2m=2 shape deformation when SS is slightly above ScS_{c}. This calculation is needed to clearly identify the linear term in the amplitude equation for peanut-splitting instabilities, as derived below in §4 using a weakly nonlinear analysis.

We denote V0(ρ;S)V_{0}(\rho\,;S) and U0(ρ;S)U_{0}(\rho\,;S) as the solution to the core problem (2.4). The linearized eigenproblem associated with the angular mode m=2m=2 is given by

2𝚽+M𝚽=λB𝚽,whereM=(1+2U0V0V022U0V0V02),B=(1000).\mathcal{L}_{2}\mathbf{\Phi}+M\mathbf{\Phi}=\lambda B\mathbf{\Phi}\,,\quad\mbox{where}\quad M=\begin{pmatrix}-1+2U_{0}V_{0}&V_{0}^{2}\\ -2U_{0}V_{0}&-V_{0}^{2}\end{pmatrix}\,,\quad B=\begin{pmatrix}1&0\\ 0&0\end{pmatrix}\,. (3.25)

When S=ScS=S_{c}\,, we have Vc=V0(ρ;Sc),Uc=U0(ρ;Sc)V_{c}=V_{0}(\rho\,;S_{c}),\,U_{c}=U_{0}(\rho\,;S_{c}) and M=McM=M_{c}\,, for which λ=0\lambda=0 is an eigenvalue in (3.25). We now calculate the change in the eigenvalue λ\lambda when

S=Sc+σ2,whereσ1.S=S_{c}+\sigma^{2}\,,\qquad\mbox{where}\quad\sigma\ll 1\,. (3.26)

For convenience, we introduce the short hand notation

SVc=SV0S=Sc,SUc=SU0S=Sc.\partial_{S}V_{c}=\partial_{S}V_{0}\mid_{S=S_{c}}\,,\qquad\partial_{S}U_{c}=\partial_{S}U_{0}\mid_{S=S_{c}}\,.

We first expand the core solution for σ1\sigma\ll 1 as

V0=Vc+σ2SVc+,U0=Uc+σ2SUc+,V_{0}=V_{c}+\sigma^{2}\partial_{S}V_{c}+\ldots\,,\quad U_{0}=U_{c}+\sigma^{2}\partial_{S}U_{c}+\ldots\,, (3.27)

so that the perturbation to the matrix MM is

M=Mc+σ2M1+,withM1=(2S(UcVc)S(Vc2)2S(UcVc)S(Vc2)),M=M_{c}+\sigma^{2}M_{1}+\ldots\,,\quad\mbox{with}\quad M_{1}=\begin{pmatrix}2\partial_{S}(U_{c}V_{c})&\partial_{S}(V_{c}^{2})\\ -2\partial_{S}(U_{c}V_{c})&-\partial_{S}(V_{c}^{2})\end{pmatrix}\,, (3.28)

where we write S(VcUc)=S(V0U0)|S=Sc\partial_{S}(V_{c}U_{c})=\partial_{S}(V_{0}U_{0})|_{S=S_{c}} and S(Vc2)=S(V02)|S=Sc\partial_{S}(V_{c}^{2})=\partial_{S}(V_{0}^{2})|_{S=S_{c}}.

Next, we expand the eigenpair for σ1\sigma\ll 1 as

λ=σ2λ1+,(ΦN)=(ΦcNc)+σ2(Φ1N1)+.\lambda=\sigma^{2}\lambda_{1}+\ldots\,,\quad\begin{pmatrix}\Phi\\ N\end{pmatrix}=\begin{pmatrix}\Phi_{c}\\ N_{c}\end{pmatrix}+\sigma^{2}\begin{pmatrix}\Phi_{1}\\ N_{1}\end{pmatrix}+\ldots\,. (3.29)

We substitute (3.27), (3.28) and (3.29) into (3.25). The 𝒪(1)\mathcal{O}(1) terms yield (3.22), while from the 𝒪(σ)\mathcal{O}(\sigma) terms we obtain that 𝚽1=(Φ1,N1)\mathbf{\Phi}_{1}=(\Phi_{1},N_{1}) satisfies

2𝚽1+Mc𝚽1=(λ1B+M1)𝚽c.\mathcal{L}_{2}\mathbf{\Phi}_{1}+M_{c}\mathbf{\Phi}_{1}=-(\lambda_{1}B+M_{1})\mathbf{\Phi}_{c}\,. (3.30)

Upon taking the inner product between (3.30) and the adjoint solution defined in (3.24), we have

0𝚽c(2𝚽1+Mc𝚽1)ρ𝑑ρ=0𝚽c[ρ(ρρ𝚽1)4ρ𝚽1+ρMc𝚽1]𝑑ρ,\int_{0}^{\infty}\mathbf{\Phi}_{c}^{*}\cdot\left(\mathcal{L}_{2}\mathbf{\Phi}_{1}+M_{c}\mathbf{\Phi}_{1}\right)\rho\,d\rho=\int_{0}^{\infty}\mathbf{\Phi}_{c}^{*}\cdot\left[\partial_{\rho}(\rho\,\partial_{\rho}\mathbf{\Phi}_{1})-\frac{4}{\rho}\,\mathbf{\Phi}_{1}+\rho M_{c}\mathbf{\Phi}_{1}\right]d\rho\,, (3.31)

where we have used ρ2𝚽1=ρ[ρ1(ρρ𝚽)1ρρ2𝚽1]=ρ(ρρ𝚽1)4ρ1𝚽1.\rho\mathcal{L}_{2}\mathbf{\Phi}_{1}=\rho\left[\rho^{-1}(\rho\,\partial_{\rho}\mathbf{\Phi})_{1\rho}-\rho^{-2}\mathbf{\Phi}_{1}\right]=\partial_{\rho}(\rho\,\partial_{\rho}\mathbf{\Phi}_{1})-4\rho^{-1}\mathbf{\Phi}_{1}\,. By using integration-by-parts twice, the identity limρ0ρ𝚽1(ρ𝚽1)=0\lim\limits_{\rho\to 0}\rho\,\mathbf{\Phi}_{1}\left(\partial_{\rho}\mathbf{\Phi}_{1}\right)=0, and decay at infinity, we obtain

0𝚽c(2𝚽1+Mc𝚽1)ρ𝑑ρ=0𝚽1(2𝚽c)ρ𝑑ρ+0𝚽c(Mc𝚽1)ρ𝑑ρ=0[𝚽1(McT𝚽c)+𝚽c(Mc𝚽1)]ρ𝑑ρ=0.\begin{split}\int_{0}^{\infty}\mathbf{\Phi}_{c}^{*}\cdot(\mathcal{L}_{2}\mathbf{\Phi}_{1}+M_{c}\mathbf{\Phi}_{1})\rho\,d\rho&=\int_{0}^{\infty}\mathbf{\Phi}_{1}\cdot(\mathcal{L}_{2}\mathbf{\Phi}_{c}^{*})\rho\,d\rho+\int_{0}^{\infty}\mathbf{\Phi}_{c}^{*}\cdot(M_{c}\mathbf{\Phi}_{1})\rho\,d\rho\\ &=\int_{0}^{\infty}\left[-\mathbf{\Phi}_{1}\cdot(M_{c}^{T}\mathbf{\Phi}_{c}^{*})+\mathbf{\Phi}_{c}^{*}\cdot(M_{c}\mathbf{\Phi}_{1})\right]\rho\,d\rho=0\,.\end{split}

Together with (3.30), we have derived the solvability condition

0𝚽c(2𝚽1+Mc𝚽1)ρ𝑑ρ=0𝚽c[(λ1BM1)𝚽c]ρ𝑑ρ=0.\int_{0}^{\infty}\mathbf{\Phi}_{c}^{*}\cdot(\mathcal{L}_{2}\mathbf{\Phi}_{1}+M_{c}\mathbf{\Phi}_{1})\rho\,d\rho=\int_{0}^{\infty}\mathbf{\Phi}_{c}^{*}\cdot\left[(\lambda_{1}B-M_{1})\mathbf{\Phi}_{c}\right]\rho\,d\rho=0\,. (3.32)

By solving for λ\lambda, and then rearranging the resulting expression, we obtain that

λ1=0[2ΦcS(UcVc)+NcS(Vc)2](ΦcNc)ρ𝑑ρ0ΦcΦcρ𝑑ρ.\lambda_{1}=\frac{\int_{0}^{\infty}\left[2\Phi_{c}\partial_{S}(U_{c}V_{c})+N_{c}\partial_{S}(V_{c})^{2}\right](\Phi_{c}^{*}-N_{c}^{*})\rho\,d\rho}{\int_{0}^{\infty}\Phi_{c}^{*}\Phi_{c}\,\rho\,d\rho}\,. (3.33)

From a numerical quadrature of the integrals in (3.33), which involves the numerical solution to (3.21), (3.22) and (3.24), we calculate that λ10.2174\lambda_{1}\approx 0.2174. Therefore, when S=Sc+σ2S=S_{c}+\sigma^{2} for σ1\sigma\ll 1 we conclude that λ0.2174σ2\lambda\sim 0.2174\sigma^{2}.

Remark 3.1

As shown in [13] for the Schnakenburg model, as aa is increased the first non-radially symmetric mode to go unstable is the m=2m=2 peanut-splitting mode, which occurs when S=Σ24.3022S=\Sigma_{2}\approx 4.3022. Higher modes first go unstable at larger values of SS, denoted by Σm\Sigma_{m}. From Table 1 of [13], these critical values of SS are Σ35.439\Sigma_{3}\approx 5.439, Σ46.143\Sigma_{4}\approx 6.143, Σ56.403\Sigma_{5}\approx 6.403 and Σ66.517\Sigma_{6}\approx 6.517. Since our weakly nonlinear analysis will focus only on a neighbourhood of Σ2\Sigma_{2}, the higher modes m3m\geq 3 are all linearly stable in this neighbourhood.

4 Amplitude equation for the Schnakenberg model

In this section we derive the amplitude equation associated with the peanut-splitting linear stability threshold for the Schnakenberg model. This amplitude equation will show that this spot shape-deformation instability is subcritical.

To do so, we first introduce a small perturbation around the linear stability threshold ScS_{c} given by S=Sc+κσ2S=S_{c}+\kappa\sigma^{2}, where κ=±1\kappa=\pm 1. In this way, the obtain the Taylor expansion χ(S)=χ(Sc)+κχ(Sc)σ2+𝒪(σ4)\chi(S)=\chi(S_{c})+\kappa\chi^{\prime}(S_{c})\sigma^{2}+\mathcal{O}(\sigma^{4}). Then, we introduce a slow time scale T=σ2tT=\sigma^{2}t. As such, the inner problem in terms of V=v/DV={v/\sqrt{D}} and U=DuU=\sqrt{D}u for 𝐲2\mathbf{y}\in\mathbb{R}^{2} is

σ2VT=Δ𝐲VV+UV2,σ2ε2τDUT=Δ𝐲UUV2+aε2D,\sigma^{2}V_{T}=\Delta_{\mathbf{y}}V-V+UV^{2}\,,\qquad\frac{\sigma^{2}\varepsilon^{2}\tau}{D}U_{T}=\Delta_{\mathbf{y}}U-UV^{2}+\frac{a\varepsilon^{2}}{\sqrt{D}}\,, (4.34a)
for which we impose V0V\to 0 exponentially as ρ\rho\to\infty, while
U(Sc+κσ2)logρ+χ(Sc)+σ2[κχ(Sc)+𝒪(1)]+,asρ=|𝐲|.U\sim\left(S_{c}+\kappa\sigma^{2}\right)\log\rho+\chi(S_{c})+\sigma^{2}\left[\kappa\chi^{\prime}(S_{c})+\mathcal{O}(1)\right]+\ldots\,,\quad\mbox{as}\quad\rho=|\mathbf{y}|\to\infty\,. (4.34b)

In (4.34), we expand V=V(ρ,ϕ,T)V=V(\rho,\phi,T) and U=U(ρ,ϕ,T)U=U(\rho,\phi,T) as

V=V0+σV1+σ2V2+σ3V3+,U=U0+σU1+σ2U2+σ3U3+,V=V_{0}+\sigma V_{1}+\sigma^{2}V_{2}+\sigma^{3}V_{3}+\ldots\,,\quad U=U_{0}+\sigma U_{1}+\sigma^{2}U_{2}+\sigma^{3}U_{3}+\ldots\,, (4.35)

where V0,U0V_{0},\,U_{0} is the radially symmetry core solution, satisfying (2.4). Furthermore, we assume that

σ3𝒪(ε2),\sigma^{3}\gg\mathcal{O}(\varepsilon^{2})\,, (4.36)

so that the 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) terms in (4.34a) are asymptotically smaller than terms of order 𝒪(σk)\mathcal{O}(\sigma^{k}) for k3k\leq 3.

Remark 4.1

The error in our asymptotic construction is 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) for a spot that is centered at its equilibrium location (see Remark 2.1). We need the scaling assumption (4.36) to ensure that the higher order in ε\varepsilon approximation of the steady-state is smaller than the approximation error involved in deriving the amplitude equation. For a spot pattern in a quasi-equilibrium state, the error in the construction of the steady-state is 𝒪(ε)\mathcal{O}(\varepsilon), which renders our analysis invalid for quasi-equilibrium patterns. We refer to the discussion section §6 where this issue is elaborated further.

We then substitute (4.35) into (4.34) and collect powers of σ\sigma. From the 𝒪(1)\mathcal{O}(1) terms, we obtain that V0V_{0} and U0U_{0} satisfy

Δρ\displaystyle\Delta_{\rho} V0V0+U0V02=0,ΔρU0U0V02=0,\displaystyle V_{0}-V_{0}+U_{0}V_{0}^{2}=0\,,\quad\Delta_{\rho}U_{0}-U_{0}V_{0}^{2}=0\,, (4.37a)
V00,U0Sclogρ+𝒪(1),asρ.\displaystyle V_{0}\to 0,\quad U_{0}\sim S_{c}\log\rho+\mathcal{O}(1)\,,\quad\mbox{as}\quad\rho\to\infty\,. (4.37b)

From the far-field condition (4.37b), we can identify that V0V_{0} and U0U_{0} are the core solution with S=ScS=S_{c}. In other words, we have

V0=Vc(ρ),U0=Uc(ρ).V_{0}=V_{c}(\rho)\,,\quad U_{0}=U_{c}(\rho)\,. (4.38)

From collecting 𝒪(σ)\mathcal{O}(\sigma) terms, and setting V0=VcV_{0}=V_{c} and U0=UcU_{0}=U_{c}, we find that 𝐕1=(V1,U1)\mathbf{V}_{1}=(V_{1},U_{1}) satisfies

Δ𝐲𝐕1+Mc𝐕1=𝟎,whereMc=(1+2UcVcVc22UcVcVc2).\Delta_{\mathbf{y}}\mathbf{V}_{1}+M_{c}\,\mathbf{V}_{1}=\mathbf{0}\,,\quad\mbox{where}\quad M_{c}=\begin{pmatrix}-1+2U_{c}V_{c}&V_{c}^{2}\\ -2U_{c}V_{c}&-V_{c}^{2}\end{pmatrix}\,. (4.39)

We conclude that 𝐕1\mathbf{V}_{1} is related to the eigenfunction solution to (3.22). We introduce the amplitude function A=A(T)A=A(T), while writing 𝐕1\mathbf{V}_{1} as

𝐕1=Acos(2ϕ)(ΦcNc),\mathbf{V}_{1}=A\cos(2\phi)\begin{pmatrix}\Phi_{c}\\ N_{c}\end{pmatrix}\,, (4.40)

where Φc\Phi_{c} and NcN_{c} satisfy (3.22) with normalization (3.23).

Remark 4.2

In our linear stability analysis in the quarter-disk it is only the angular factor cos(2ϕ)\cos(2\phi) in (4.40), as opposed to the alternative choice of sin(2ϕ)\sin(2\phi), that satisfies the no-flux conditions for VV and UU at ϕ=0,π/2\phi=0,{\pi/2}. In this way, our domain restriction to the quarter-disk ensures a one-dimensional null-space for (4.39).

By collecting 𝒪(σ2)\mathcal{O}(\sigma^{2}) terms we readily obtain that 𝐕2=(V2,U2)\mathbf{V}_{2}=(V_{2},U_{2}) on 𝐲2\mathbf{y}\in\mathbb{R}^{2} satisfies

Δ𝐲𝐕2+Mc𝐕2=F2𝐪,\Delta_{\mathbf{y}}\mathbf{V}_{2}+M_{c}\mathbf{V}_{2}=F_{2}\,\mathbf{q}\,, (4.41a)
where we have defined F2F_{2} and 𝐪\mathbf{q} by
F22VcV1U1+UcV12,𝐪(11).F_{2}\equiv 2V_{c}V_{1}U_{1}+U_{c}V_{1}^{2}\,,\qquad\mathbf{q}\equiv\begin{pmatrix}-1\\ 1\end{pmatrix}\,. (4.41b)

By using (4.40) for V1V_{1} and U1U_{1}, together with the identity 2cos2ϕ=1+cos(2ϕ)2\cos^{2}\phi=1+\cos(2\phi), we can write F2F_{2} as

F2=A2F20+A2F20cos(4ϕ),F20=12(UcΦc2+2VcΦcNc).F_{2}=A^{2}F_{20}+A^{2}F_{20}\cos(4\phi)\,,\qquad F_{20}=\frac{1}{2}\left(U_{c}\Phi_{c}^{2}+2V_{c}\Phi_{c}N_{c}\right)\,. (4.42)

This suggests a decomposition of the solution to (4.41a) in the form

𝐕2=𝐕20(ρ)+A2𝐕24(ρ)cos(4ϕ),\mathbf{V}_{2}=\mathbf{V}_{20}(\rho)+A^{2}\,\mathbf{V}_{24}(\rho)\cos(4\phi)\,, (4.43)

where the problems for 𝐕20\mathbf{V}_{20} and 𝐕24\mathbf{V}_{24} are formulated below.

Firstly, we define 𝐕24=(V24,U24)\mathbf{V}_{24}=(V_{24},U_{24}) to be the radially symmetric solution to

4𝐕24+Mc𝐕24=F20𝐪,\mathcal{L}_{4}\mathbf{V}_{24}+M_{c}\mathbf{V}_{24}=F_{20}\,\mathbf{q}\,, (4.44a)
where m𝐕24=ρρ𝐕24+ρ1ρ𝐕24m2ρ2𝐕24\mathcal{L}_{m}\mathbf{V}_{24}=\partial_{\rho\rho}\mathbf{V}_{24}+\rho^{-1}\partial_{\rho}\mathbf{V}_{24}-m^{2}\rho^{-2}\mathbf{V}_{24}, for which we can impose that
V240,U24=𝒪(ρ4)ρU244ρU24,asρ.V_{24}\to 0\,,\quad U_{24}=\mathcal{O}(\rho^{-4})\,\quad\longrightarrow\quad\partial_{\rho}\,U_{24}\sim-\frac{4}{\rho}\,U_{24}\,,\quad\mbox{as}\quad\rho\to\infty\,. (4.44b)

Next, we define 𝐕20=(V20,U20)\mathbf{V}_{20}=(V_{20},U_{20}) to be the solution to

Δρ𝐕20+Mc𝐕20=A2F20𝐪.\Delta_{\rho}\mathbf{V}_{20}+M_{c}\mathbf{V}_{20}=A^{2}F_{20}\,\mathbf{q}\,. (4.45a)
We can impose V200V_{20}\to 0 exponentially as ρ\rho\to\infty. As indicated in (4.34b), we have
U2κlogρ+𝒪(1),asρ.U_{2}\sim\kappa\log\rho+\mathcal{O}(1)\,,\quad\mbox{as}\quad\rho\to\infty\,. (4.45b)

Since U24=𝒪(ρ4)1U_{24}=\mathcal{O}(\rho^{-4})\ll 1 as ρ\rho\to\infty, we must have U20κlogρ+𝒪(1)U_{20}\sim\kappa\log\rho+\mathcal{O}(1).

Next, we decompose 𝐕20\mathbf{V}_{20} by first observing that 𝐖2H(SVc,SUc)\mathbf{W}_{2H}\equiv(\partial_{S}V_{c},\partial_{S}U_{c}) is a radial solution to the homogeneous problem

Δρ𝐖2H+Mc𝐖2H=𝟎,𝐖2H(0,logρ+χ(Sc)),asρ.\Delta_{\rho}\mathbf{W}_{2H}+M_{c}\mathbf{W}_{2H}=\mathbf{0}\,,\quad\mathbf{W}_{2H}\sim\left(0,\log\rho+\chi^{\prime}(S_{c})\right)\,,\quad\mbox{as}\quad\rho\to\infty\,. (4.46)

This suggests that it is convenient to introduce the following decomposition to isolate the two sources of inhomogeneity in (4.45):

𝐕20=κ𝐖2H+A2𝐕^20,\mathbf{V}_{20}=\kappa\mathbf{W}_{2H}+A^{2}\hat{\mathbf{V}}_{20}\,, (4.47)

where 𝐕^20=(V^20,U^20)\hat{\mathbf{V}}_{20}=(\hat{V}_{20},\hat{U}_{20}) is taken to be the radial solution to

Δρ𝐕^20+Mc𝐕^20=F20𝐪,V^200,ρU^200,asρ.\Delta_{\rho}\hat{\mathbf{V}}_{20}+M_{c}\hat{\mathbf{V}}_{20}=F_{20}\,\mathbf{q}\,,\quad\hat{V}_{20}\to 0\,,\quad\partial_{\rho}\hat{U}_{20}\to 0\,,\quad\mbox{as}\quad\rho\to\infty\,. (4.48)

In Appendix A we discuss in detail the derivation of the far-field condition for U^20\hat{U}_{20} imposed in (4.48). Moreover, since U^20U200\hat{U}_{20}\to U_{20\infty}\neq 0 as ρ\rho\to\infty, at the end of Appendix A we show how this fact can be accounted for in a simple modification of the outer solution given in (2.15).

In view of (4.47) and (4.44), the solution to (4.41a), as written in (4.43), is

𝐕2=κ𝐖2H+A2[𝐕^20+𝐕24cos(4ϕ)].\mathbf{V}_{2}=\kappa\mathbf{W}_{2H}+A^{2}\left[\hat{\mathbf{V}}_{20}+\mathbf{V}_{24}\cos(4\phi)\right]\,. (4.49)

In the left and right panels of Fig. 6 we plot the numerically computed solution to (4.48) and (4.44), respectively.

Refer to caption
Refer to caption
Figure 6: Left panel: Plot of the numerical solution for V^20\hat{V}_{20} (solid line) and U^20\hat{U}_{20} (dashed line). Right panel: Plot of the numerical solution for V24V_{24} (solid line) and U24U_{24} (dashed line).

The solvability condition, which yields the amplitude equation for AA, arises from the 𝒪(σ3)\mathcal{O}(\sigma^{3}) problem. At this order, we find that 𝐕3=(V3,U3)\mathbf{V}_{3}=(V_{3},U_{3}) satisfies

Δ𝐲𝐕3+Mc𝐕3=F3𝐪+TV1𝐞1,\Delta_{\mathbf{y}}\mathbf{V}_{3}+M_{c}\mathbf{V}_{3}=F_{3}\,\mathbf{q}+\partial_{T}V_{1}\,\mathbf{e}_{1}\,, (4.50a)
where we have defined F3F_{3} and 𝐞1\mathbf{e}_{1} by
F32VcV1U2+U1V12+2VcU1V2+2UcV1V2,𝐞1(10).F_{3}\equiv 2V_{c}V_{1}U_{2}+U_{1}V_{1}^{2}+2V_{c}U_{1}V_{2}+2U_{c}V_{1}V_{2}\,,\qquad\mathbf{e}_{1}\equiv\begin{pmatrix}1\\ 0\end{pmatrix}\,. (4.50b)

Upon substituting (4.40) and (4.49) into F3F_{3}, we can write F3F_{3} in (4.50b) in terms of a truncated Fourier cosine expansion as

F3=(κg1A+g2A3)cos(2ϕ)+g3A3cos(6ϕ),F_{3}=(\kappa g_{1}A+g_{2}A^{3})\cos(2\phi)+g_{3}A^{3}\cos(6\phi)\,, (4.51a)
where g1,g2g_{1},\,g_{2} and g3g_{3} are defined by
g1\displaystyle g_{1} =2ΦcS(VcUc)+NcS(Vc2),\displaystyle=2\Phi_{c}\partial_{S}(V_{c}U_{c})+N_{c}\partial_{S}(V_{c}^{2})\,, (4.51b)
g2\displaystyle g_{2} =2VcΦcU^20+VcΦcU24+34Φc2Nc+(VcNc+UcΦc)(2V^20+V24),\displaystyle=2V_{c}\Phi_{c}\hat{U}_{20}+V_{c}\Phi_{c}U_{24}+\frac{3}{4}\Phi_{c}^{2}N_{c}+(V_{c}N_{c}+U_{c}\Phi_{c})(2\hat{V}_{20}+V_{24})\,, (4.51c)
g3\displaystyle g_{3} =14NcΦc2+VcΦcU24+(VcNc+UcΦc)V24.\displaystyle=\frac{1}{4}N_{c}\Phi_{c}^{2}+V_{c}\Phi_{c}U_{24}+(V_{c}N_{c}+U_{c}\Phi_{c})V_{24}\,. (4.51d)

In this way, the solution 𝐕3=(V3,U3)\mathbf{V}_{3}=(V_{3},U_{3}) to (4.50a) satisfies

Δ𝐕3+Mc𝐕3=(κg1A+g2A3)cos(2ϕ)𝐪+g3A3cos(6ϕ)𝐪+AΦccos(2ϕ)𝐞1,\Delta\mathbf{V}_{3}+M_{c}\mathbf{V}_{3}=(\kappa g_{1}A+g_{2}A^{3})\cos(2\phi)\,\mathbf{q}+g_{3}A^{3}\cos(6\phi)\,\mathbf{q}+A^{\prime}\Phi_{c}\cos(2\phi)\,\mathbf{e}_{1}\,, (4.52)

where AdA/dTA^{\prime}\equiv{dA/dT}. The right-hand side of this expression suggests that we decompose 𝐕3\mathbf{V}_{3} as

𝐕3=𝐖2(ρ)cos(2ϕ)+𝐖6(ρ)cos(6ϕ),\mathbf{V}_{3}=\mathbf{W}_{2}(\rho)\cos(2\phi)+\mathbf{W}_{6}(\rho)\cos(6\phi)\,, (4.53a)
so that from (4.52) we obtain that 𝐖2\mathbf{W}_{2} and 𝐖6\mathbf{W}_{6} are radial solutions to
2𝐖2+Mc𝐖2\displaystyle\mathcal{L}_{2}\mathbf{W}_{2}+M_{c}\mathbf{W}_{2} =(κg1A+g2A3)𝐪+AΦc𝐞1,\displaystyle=(\kappa g_{1}A+g_{2}A^{3})\,\mathbf{q}+A^{\prime}\Phi_{c}\,\mathbf{e}_{1}\,, (4.53b)
6𝐖6+Mc𝐖6\displaystyle\mathcal{L}_{6}\mathbf{W}_{6}+M_{c}\mathbf{W}_{6} =g3A3𝐪.\displaystyle=g_{3}A^{3}\mathbf{q}\,. (4.53c)

We now impose a solvability condition for the solution to (4.53b). Recall from (3.24) that there is a non-trivial solution 𝚽c=(Φc,Nc)\mathbf{\Phi}_{c}^{*}=(\Phi_{c}^{*},N_{c}^{*}) to 2𝚽c+McT𝚽c=𝟎\mathcal{L}_{2}\mathbf{\Phi}_{c}^{*}+M_{c}^{T}\mathbf{\Phi}_{c}^{*}=\mathbf{0}.

As in the derivation of the eigenvalue expansion in (3.32), we have

0𝚽c(2𝐖2+Mc𝐖2)ρ𝑑ρ=0.\int_{0}^{\infty}\mathbf{\Phi}_{c}^{*}\cdot(\mathcal{L}_{2}\mathbf{W}_{2}+M_{c}\mathbf{W}_{2})\,\rho\,d\rho=0\,. (4.54)

This yields that

0(𝚽c𝐪)(κg1A+g2A3)ρdρ=A0𝚽c(Φc𝐞1)ρ𝑑ρ,\int_{0}^{\infty}\left(\mathbf{\Phi}_{c}^{*}\cdot\mathbf{q}\right)(\kappa g_{1}A+g_{2}A^{3})\,\rho\,\mathrm{d}\rho=-A^{\prime}\int_{0}^{\infty}\mathbf{\Phi}_{c}^{*}\cdot(\Phi_{c}\,\mathbf{e}_{1})\,\rho\,d\rho\,, (4.55)

so that upon using 𝐞1=(1,0)\mathbf{e}_{1}=(1,0) and 𝐪=(1,1)\mathbf{q}=(-1,1), we solve for AA^{\prime} to obtain

A0ΦcΦcρdρ=0(κg1A+g2A3)(NcΦc)ρdρ.-A^{\prime}\int_{0}^{\infty}\Phi_{c}\Phi_{c}^{*}\,\rho\,\mathrm{d}\rho=\int_{0}^{\infty}(\kappa g_{1}A+g_{2}A^{3})(N_{c}^{*}-\Phi_{c}^{*})\,\rho\,\mathrm{d}\rho\,. (4.56)

By rearranging this expression we conclude that

dAdT=[κ0g1(ΦcNc)ρdρ0ΦcΦcρdρ]A+[0g2(ΦcNc)ρdρ0ΦcΦcρdρ]A3.\frac{dA}{dT}=\left[\frac{\kappa\int_{0}^{\infty}g_{1}(\Phi_{c}^{*}-N_{c}^{*})\,\rho\,\mathrm{d}\rho}{\int_{0}^{\infty}\Phi_{c}\Phi_{c}^{*}\,\rho\,\mathrm{d}\rho}\right]A+\left[\frac{\int_{0}^{\infty}g_{2}(\Phi_{c}^{*}-N_{c}^{*})\,\rho\,\mathrm{d}\rho}{\int_{0}^{\infty}\Phi_{c}\Phi_{c}^{*}\,\rho\mathrm{d}\rho}\right]A^{3}\,. (4.57)

In summary, the normal form of the amplitude equation is given by

dAdT=κc1A+c3A3,withT=σ2t,\frac{dA}{dT}=\kappa c_{1}A+c_{3}A^{3}\,,\qquad\mbox{with}\quad T=\sigma^{2}t\,, (4.58a)
where c1c_{1} and c3c_{3} are given by
c1=0g1(ΦcNc)ρdρ0ΦcΦcρdρ,c3=0g2(ΦcNc)ρdρ0ΦcΦcρdρ,c_{1}=\frac{\int_{0}^{\infty}g_{1}(\Phi_{c}^{*}-N_{c}^{*})\,\rho\,\mathrm{d}\rho}{\int_{0}^{\infty}\Phi_{c}\Phi_{c}^{*}\,\rho\,\mathrm{d}\rho}\,,\qquad c_{3}=\frac{\int_{0}^{\infty}g_{2}(\Phi_{c}^{*}-N_{c}^{*})\,\rho\,\mathrm{d}\rho}{\int_{0}^{\infty}\Phi_{c}\Phi_{c}^{*}\,\rho\mathrm{d}\rho}\,, (4.58b)

and g1g_{1} and g2g_{2} are given in (4.51b) and (4.51c), respectively. By comparing our expression for c1c_{1} in (4.58b) with (3.33) we conclude that c1=λ10.2174c_{1}=\lambda_{1}\approx 0.2174, where λ1\lambda_{1} is the eigenvalue for the mode m=2m=2 instability, as derived in (3.33) when S=Sc+σ2S=S_{c}+\sigma^{2} with σ1\sigma\ll 1. Moreover, from a numerical quadrature we calculate that c30.1224c_{3}\approx 0.1224.

Multiplying both sides of (4.58a) by σ\sigma and using the time scale transformation ddT=σ2ddt\frac{d}{dT}=\sigma^{-2}\frac{d}{dt}, the amplitude equation (4.58a) in terms of A~σA\tilde{A}\equiv\sigma A is

dA~dt=κσ2c1A~+c3A~3.\frac{d\tilde{A}}{dt}=\kappa\sigma^{2}c_{1}\tilde{A}+c_{3}\tilde{A}^{3}\,. (4.59)

Since c1,c3c_{1},c_{3} are numerically found to be positive, the non-zero steady small amplitude A~0\tilde{A}_{0} in (4.59) exists only when κ=1\kappa=-1. In this case, we have

A~0=c1(ScS)c3,forS<Sc.\tilde{A}_{0}=\sqrt{\frac{c_{1}(S_{c}-S)}{c_{3}}}\,,\quad\mbox{for}\quad S<S_{c}\,. (4.60)
Remark 4.3

By our assumption σ3𝒪(ε2)\sigma^{3}\gg\mathcal{O}(\varepsilon^{2}), we conclude that our weakly nonlinear analysis is valid only when ScS=σ2𝒪(ε4/3)S_{c}-S=\sigma^{2}\gg\mathcal{O}(\varepsilon^{4/3}).

4.1 Numerical validation of the amplitude equation

In this subsection we numerically verify the asymptotic approximation of the steady-state in (4.60) as obtained from our amplitude equation. Our approach is to compute the norm difference between the radially symmetric spot solution and its associated bifurcating solution branch originating from the zero eigenvalue crossing of the peanut-shape instability. To do so, we revisit the expansion scheme (4.35) with V0=VcV_{0}=V_{c} and σV1=σAcos(2ϕ)Φc=A~cos(2ϕ)Φc\sigma V_{1}=\sigma A\cos(2\phi)\Phi_{c}=\tilde{A}\cos(2\phi)\Phi_{c} for S=Sc+κσ2S=S_{c}+\kappa\sigma^{2} with σ1\sigma\ll 1. This yields the steady-state prediction

V(𝐲;S)=Vc(ρ)+A~Φc(ρ)cos(2ϕ)+𝒪(σ2),V(\mathbf{y}\,;S)=V_{c}(\rho)+\tilde{A}\,\Phi_{c}(\rho)\cos(2\phi)+\mathcal{O}(\sigma^{2})\,, (4.61)

with |𝐲|=ρ|\mathbf{y}|=\rho. We also expand the radially symmetric one-spot inner solution for S=Sc+κσ2S=S_{c}+\kappa\sigma^{2} as

V0(ρ;S)=V0(ρ;Sc)+κσ2[SV0(ρ;S)]|S=Sc+=Vc(ρ)+𝒪(σ2).V_{0}(\rho\,;S)=V_{0}(\rho\,;S_{c})+\kappa\sigma^{2}\left[\partial_{S}V_{0}(\rho\,;S)\right]|_{S=S_{c}}+\ldots=V_{c}(\rho)+\mathcal{O}(\sigma^{2})\,. (4.62)

Let r=|𝐱|=ερr=|\mathbf{x}|=\varepsilon\,\rho. We define the L2L_{2}-function norm in the quarter disk by

v=[0π/201v(r,ϕ)2r𝑑r𝑑ϕ]1/2=ε[0π/201/εv(ρ,ϕ)2ρ𝑑ρ𝑑ϕ]1/2.||v||=\left[\int_{0}^{\pi/2}\int_{0}^{1}v(r,\phi)^{2}r\,dr\,d\phi\right]^{1/2}=\varepsilon\left[\int_{0}^{\pi/2}\int_{0}^{1/\varepsilon}v(\rho,\phi)^{2}\rho\,d\rho\,d\phi\right]^{1/2}\,.

Let v(r,ϕ;S)=V(𝐲;S)v(r,\phi\,;S)=V(\mathbf{y}\,;S) and v0(r,ϕ)=V0(ρ;S)v_{0}(r,\phi)=V_{0}(\rho\,;S). From (4.61) and (4.62), we have

vv02=ε20π/201/ε[A~Φc(ρ)cos(2ϕ)]2ρ𝑑ρ𝑑ϕ+𝒪(ε2σ3),=ε2A~20π/2cos2(2ϕ)𝑑ϕ(01/εΦc2(ρ)ρ𝑑ρ)+𝒪(ε2σ3).\begin{split}||v-v_{0}||^{2}&=\varepsilon^{2}\int_{0}^{\pi/2}\int_{0}^{1/\varepsilon}\left[\tilde{A}\,\Phi_{c}(\rho)\cos(2\phi)\right]^{2}\,\rho\,d\rho\,d\phi+\mathcal{O}(\varepsilon^{2}\sigma^{3})\,,\\ &=\varepsilon^{2}\tilde{A}^{2}\int_{0}^{\pi/2}\cos^{2}(2\phi)d\phi\left(\int_{0}^{1/\varepsilon}\Phi_{c}^{2}(\rho)\rho\,d\rho\right)+\mathcal{O}(\varepsilon^{2}\sigma^{3})\,.\end{split} (4.63)

Then, by using the normalization condition (3.23), together with the steady-state amplitude in (4.60), our theoretical prediction from the weakly nonlinear analysis for the non-radially symmetric solution branch is that for ScS=σ2𝒪(ε4/3)S_{c}-S=\sigma^{2}\gg\mathcal{O}(\varepsilon^{4/3}), we have

vv0ε2πc1(ScS)c3,asσ0+,ε0+,||v-v_{0}||\sim\frac{\varepsilon}{2}\sqrt{\frac{\pi c_{1}(S_{c}-S)}{c_{3}}}\,,\quad\mbox{as}\quad\sigma\to 0^{+}\,,\,\,\varepsilon\to 0^{+}\,, (4.64)

where c10.2174c_{1}\approx 0.2174 and c30.1224c_{3}\approx 0.1224.

In Fig. 7 we show a favorable comparison of our weakly nonlinear analysis result (4.64) with corresponding full numerical results computed from the steady-state of the Schnakenberg PDE system (1.1) with ε=0.03\varepsilon=0.03 using the bifurcation software pde2path [34]. The computation is done in the quarter-disk geometry shown in the left panel of Fig. 3. In Fig. 8 we show contour plots, zoomed near the origin, of the non-radially symmetric localized steady-state at four points on the bifurcation diagram in Fig. 7.

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Figure 7: Left panel: The L2L_{2}-norm of steady-state solution to (1.1) with ε=0.03\varepsilon=0.03, as computed by the bifurcation software pde2path [34]. Numerically, the bifurcation occurs at Sc4.3629S_{c}^{*}\approx 4.3629. The heavy solid curve is the radially symmetric spot solution branch. Right panel: Plot of vv0||v-v_{0}|| from the numerically computed branches in the left panel versus SScS-S_{c}^{*}, where Sc4.3629S_{c}^{*}\approx 4.3629 is the numerically computed bifurcation value. We compare it with the asymptotic result ε2πc1(ScS)c3\frac{\varepsilon}{2}\sqrt{\frac{\pi c_{1}(S_{c}-S)}{c_{3}}} in (4.64), where Sc4.3022S_{c}\approx 4.3022 is the asymptotic result computed from the eigenvalue problem (3.20) for the mode m=2m=2 peanut-shaped instability. The bifurcation is subcritical.

(a) Refer to caption (b) Refer to caption
(c) Refer to caption (d) Refer to caption

Figure 8: Contour plot of the non-radially symmetric localized solution near the origin (zoomed) at the Points 1,2,31,2,3 and 44 as indicated in the bifurcation diagram in the left panel of Fig.7.

5 Brusselator

We now perform a similar weakly nonlinear analysis for the Brusselator RD model. For this model, it is known that a localized spot undergoes a peanut-shape deformation instability when the source strength exceeds a threshold, with numerical evidence suggesting that this linear instability is the trigger of a nonlinear spot-splitting event (cf. [28], [30], [32]). Our weakly nonlinear analysis will confirm that this peanut-shape symmetry-breaking bifurcation is always subcritical.

The dimensionless Brusselator model in the two-dimensional unit disk Ω\Omega is formulated as (cf. [28])

vt=ε2Δv+ε2Ev+fuv2,τut=DΔu+1ε2(vuv2),𝐱Ω,v_{t}=\varepsilon^{2}\Delta v+\varepsilon^{2}E-v+fuv^{2}\,,\quad\tau u_{t}=D\Delta u+\frac{1}{\varepsilon^{2}}\left(v-uv^{2}\right)\,,\quad\mathbf{x}\in\Omega\,, (5.65)

with no-flux boundary conditions nu=nv=0\partial_{n}u=\partial_{n}v=0 on Ω\partial\Omega. In (5.65) the diffusivity DD and the feed-rate EE are positive parameters, while the constant parameter ff satisfies 0<f<10<f<1. Appendix A of [28] provides the derivation of (5.65) starting from the form of the Brusselator model introduced originally in [26].

We first use the method of matched asymptotic expansions to construct a one-spot steady-state solution centered at the origin of the unit disk. In the inner region near 𝐱=0\mathbf{x}=0 we introduce VV, UU and 𝐲\mathbf{y} by

v=DV(𝐲),u=U(𝐲)/D,where𝐲=ε1𝐱.v=\sqrt{D}\,V(\mathbf{y})\,,\quad u={U(\mathbf{y})/\sqrt{D}}\,,\quad\mbox{where}\quad\mathbf{y}=\varepsilon^{-1}\mathbf{x}\,. (5.66)

In the inner region, for 𝐲2\mathbf{y}\in\mathbb{R}^{2}, the steady-state problem obtained from (5.65) is

Δ𝐲VV+fUV2+ε2ED=0,Δ𝐲U+VUV2=0.\Delta_{\mathbf{y}}V-V+fUV^{2}+\frac{\varepsilon^{2}E}{\sqrt{D}}=0\,,\qquad\Delta_{\mathbf{y}}U+V-UV^{2}=0\,. (5.67)

Seeking a radially symmetric solution in the form V=V0(ρ)+o(1)V=V_{0}(\rho)+o(1) and U=U0(ρ)+o(1)U=U_{0}(\rho)+o(1), with ρ=|𝐲|\rho=|\mathbf{y}|, we neglect the 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) terms to obtain the radially symmetric core problem

ΔρV0V0+fU0V02=0,ΔρU0=U0V02V0,ρ>0,V0(0)=U0(0)=0;V00,U0Slogρ+χ(S,f)+o(1),asρ,\begin{split}&\Delta_{\rho}V_{0}-V_{0}+fU_{0}V_{0}^{2}=0\,,\quad\Delta_{\rho}U_{0}=U_{0}V_{0}^{2}-V_{0}\,,\quad\rho>0\,,\\ &V_{0}^{\prime}(0)=U_{0}^{\prime}(0)=0\,;\quad V_{0}\to 0\,,\quad U_{0}\sim S\log\rho+\chi(S,f)+o(1)\,,\quad\mbox{as}\quad\rho\to\infty\,,\end{split} (5.68)

where Δρρρ+ρ1ρ\Delta_{\rho}\equiv\partial_{\rho\rho}+\rho^{-1}\partial_{\rho}. We observe that the 𝒪(1)\mathcal{O}(1) term χ\chi, which must be computed numerically, depends on the source strength SS and the Brusselator parameter ff, with 0<f<10<f<1. By integrating the U0U_{0} equation in (5.68) we obtain the identity

S=0(U0V02V0)ρ𝑑ρ.S=\int_{0}^{\infty}(U_{0}V_{0}^{2}-V_{0})\rho\,d\rho\,. (5.69)

In the outer region, defined away from an 𝒪(ε)\mathcal{O}(\varepsilon) region near the origin, we obtain vε2E+𝒪(ε4)v\sim\varepsilon^{2}E+\mathcal{O}(\varepsilon^{4}) and that uu satisfies

DΔu+E+1ε2(vuv2)=0.D\Delta u+E+\frac{1}{\varepsilon^{2}}(v-uv^{2})=0\,. (5.70)

Writing vε2E+DV0(ε1|𝐱|)v\sim\varepsilon^{2}E+\sqrt{D}V_{0}(\varepsilon^{-1}|\mathbf{x}|) and uU0(ε1|𝐱|)/Du\sim{U_{0}(\varepsilon^{-1}|\mathbf{x}|)/\sqrt{D}}, we calculate in the sense of distributions that, for ε0\varepsilon\to 0,

ε2(vuv2)E+2πD0(V0U0V02)ρ𝑑ρ=E2πDSδ(𝐱),\varepsilon^{-2}\left(v-uv^{2}\right)\rightarrow E+2\pi\sqrt{D}\int_{0}^{\infty}(V_{0}-U_{0}V_{0}^{2})\rho\,d\rho=E-2\pi\sqrt{D}S\delta(\mathbf{x})\,, (5.71)

where we used (5.69) to obtain the last equality. Hence, upon matching the outer to the inner solution for uu, we obtain the following outer problem:

Δu=ED+2πSDδ(𝐱),𝐱Ω,nu=0,𝐱Ω,u1D(Slog|𝐱|+Sν+χ)as𝐱𝟎,whereν1/logε.\begin{split}&\Delta u=-\frac{E}{D}+\frac{2\pi S}{\sqrt{D}}\delta(\mathbf{x})\,,\quad\mathbf{x}\in\Omega\,,\quad\partial_{n}u=0\,,\quad\mathbf{x}\in\partial\Omega\,,\\ &u\sim\frac{1}{\sqrt{D}}\left(S\log|\mathbf{x}|+\frac{S}{\nu}+\chi\right)\quad\mbox{as}\quad\mathbf{x}\to\mathbf{0}\,,\quad\mbox{where}\quad\nu\equiv{-1/\log\varepsilon}\,.\end{split} (5.72)

By integrating (5.72) over Ω\Omega and using the Divergence theorem together with |Ω|=π|\Omega|=\pi we calculate SS as

S=E|Ω|2πD=E2D.S=\frac{E|\Omega|}{2\pi\sqrt{D}}=\frac{E}{2\sqrt{D}}\,. (5.73)

The solution to (5.72) is given by

u=1D(Slog|𝐱|Er24D+Sν+χ),u=\frac{1}{\sqrt{D}}\left(S\log|\mathbf{x}|-\frac{Er^{2}}{4\sqrt{D}}+\frac{S}{\nu}+\chi\right)\,, (5.74)

where r=|𝐱|r=|\mathbf{x}|. Setting |𝐱|=ε|𝐲||\mathbf{x}|=\varepsilon|\mathbf{y}|, and using E=2SDE=2S\sqrt{D}, we obtain that

u1D(Slog|𝐲|+χSε2|𝐲|22).u\sim\frac{1}{\sqrt{D}}\left(S\log|\mathbf{y}|+\chi-\frac{S\varepsilon^{2}|\mathbf{y}|^{2}}{2}\right)\,. (5.75)

This expression is identical to that derived in (2.16) for the Schnakenberg model, and shows that there is an unmatched 𝒪(ε2|𝐲|2)\mathcal{O}(\varepsilon^{2}|\mathbf{y}|^{2}) term feeding back from the outer to the inner region (see Remark 2.1).

Next, we perform a linear stability analysis. Let ve,uev_{e},\,u_{e} denote the steady-state spot solution centered at the origin. We introduce the perturbation

v=ve+eλtϕ,u=ue+eλtη,v=v_{e}+e^{\lambda t}\phi\,,\quad u=u_{e}+e^{\lambda t}\eta\,, (5.76)

into (5.65) and linearize. In this way, we obtain the eigenvalue problem

ε2Δϕϕ+2fueveϕ+fve2η=λϕ,DΔη+1ε2(ϕ2ueveϕve2η)=τλη,\varepsilon^{2}\Delta\phi-\phi+2fu_{e}v_{e}\phi+fv_{e}^{2}\eta=\lambda\phi\,,\qquad D\Delta\eta+\frac{1}{\varepsilon^{2}}(\phi-2u_{e}v_{e}\phi-v_{e}^{2}\eta)=\tau\lambda\eta\,, (5.77)

with nϕ=nη=0\partial_{n}\phi=\partial_{n}\eta=0 on Ω\partial\Omega. In the inner region near 𝐱=0\mathbf{x}=0 we introduce

(ϕη)=Re(eimθ)(Φ(ρ)N(ρ)/D),whereρ=|𝐲|=ε|𝐱|,θ=arg(𝐲),\begin{pmatrix}\phi\\ \eta\end{pmatrix}=\mathrm{Re}(e^{im\theta})\begin{pmatrix}\Phi(\rho)\\ N(\rho)/D\end{pmatrix}\,,\quad\mbox{where}\quad\rho=|\mathbf{y}|=\varepsilon|\mathbf{x}|\,,\quad\theta=\mbox{arg}(\mathbf{y})\,, (5.78)

and m=2,3,m=2,3,\ldots. With veDV0v_{e}\sim\sqrt{D}V_{0} and ueU0/Du_{e}\sim{U_{0}/\sqrt{D}}, we neglect the 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) terms to obtain the following spectral problem governing non-radially symmetric instabilities of the steady-state spot solution:

m(ΦN)+M(ΦN)=λ(1000)(ΦN).\mathcal{L}_{m}\begin{pmatrix}\Phi\\ N\end{pmatrix}+M\begin{pmatrix}\Phi\\ N\end{pmatrix}=\lambda\begin{pmatrix}1&0\\ 0&0\end{pmatrix}\begin{pmatrix}\Phi\\ N\end{pmatrix}\,. (5.79a)
Here we have defined
m𝚽ρρ𝚽+1ρρ𝚽m2ρ2𝚽,M(2fU0V01fV0212U0V0V02).\mathcal{L}_{m}\mathbf{\Phi}\equiv\partial_{\rho\rho}\mathbf{\Phi}+\frac{1}{\rho}\partial_{\rho}\mathbf{\Phi}-\frac{m^{2}}{\rho^{2}}\mathbf{\Phi}\,,\qquad M\equiv\begin{pmatrix}2fU_{0}V_{0}-1&fV_{0}^{2}\\ 1-2U_{0}V_{0}&-V_{0}^{2}\end{pmatrix}\,. (5.79b)

We seek eigenfunctions of (5.79) with Φ0\Phi\to 0 and N0N\to 0 as ρ\rho\to\infty.

Next, we determine the stability threshold for a peanut-shape deformation instability with angular mode m=2m=2. For m=2m=2, the appropriate far-field condition is that Φ0\Phi\to 0 exponentially and ρN2N/ρ\partial_{\rho}N\sim-{2N/\rho} for ρ\rho\to\infty. As such, we impose N2N/ρN^{\prime}\sim-{2N/\rho} for ρ1\rho\gg 1. We denote λ0\lambda_{0} as the eigenvalue of (5.79) with the largest real part. Our numerical computations show that for fixed ff on 0<f<10<f<1 we have Re(λ0)=0\mathrm{Re}(\lambda_{0})=0 at some S=Sc(f)S=S_{c}(f), and that Re(λ0)>0\mathrm{Re}(\lambda_{0})>0 for S>Sc(f)S>S_{c}(f). In Fig. 9 we plot our results for Sc(f)S_{c}(f) on 0.15<f<0.90.15<f<0.9. These results are consistent with the corresponding thresholds first computed in §3 of [28] at some specific values of ff. Moreover, as shown in Figure 4 of [28], the peanut-splitting mode m=2m=2 is the first mode to lose stability as SS, or equivalently EE, is increased. Higher modes lose stability at larger value of SS. Since in our weakly nonlinear analysis we will only consider the neighbourhood of the instability threshold for the peanut-splitting mode, the higher modes of spot-shape deformation are all linearly stable in this neighborhood.

Refer to caption
Figure 9: Numerical results, computed from (5.79) with m=2m=2, for the critical value ScS_{c} of the source strength versus the Brusselator parameter ff on 0.15<f<0.90.15<f<0.9 at which a one-spot solution first undergoes a peanut-shaped linear instability. The spot is unstable when S>ScS>S_{c}.

We denote Vc(ρ)V_{c}(\rho) and Uc(ρ)U_{c}(\rho) by VcV0(ρ;Sc)V_{c}\equiv V_{0}(\rho\,;\,S_{c}) and UcU0(ρ;Sc)U_{c}\equiv U_{0}(\rho\,;\,S_{c}), and we label 𝚽c(Φc,Nc)\mathbf{\Phi}_{c}\equiv(\Phi_{c},N_{c}) as the normalized critical eigenfunction at S=ScS=S_{c}, which satisfies

2𝚽c+Mc𝚽𝐜=𝟎,Mc(2fUcVc1fVc212UcVcVc2),with0Φc2ρ𝑑ρ=1.\mathcal{L}_{2}\mathbf{\Phi}_{c}+M_{c}\mathbf{\Phi_{c}}=\mathbf{0}\,,\quad M_{c}\equiv\begin{pmatrix}2fU_{c}V_{c}-1&fV_{c}^{2}\\ 1-2U_{c}V_{c}&-V_{c}^{2}\end{pmatrix}\,,\quad\mbox{with}\quad\int_{0}^{\infty}\Phi_{c}^{2}\,\rho\,d\rho=1\,. (5.80)

Likewise, at S=ScS=S_{c}, there exists a non-trivial normalized solution 𝚽c=(Φc,Nc)\mathbf{\Phi}_{c}^{*}=(\Phi_{c}^{*},N_{c}^{*}) to the homogeneous adjoint problem

2𝚽c+McT𝚽c=𝟎,with0(Φc)2ρ𝑑ρ=1,\mathcal{L}_{2}\mathbf{\Phi}_{c}^{*}+M_{c}^{T}\mathbf{\Phi}_{c}^{*}=\mathbf{0}\,,\quad\mbox{with}\quad\int_{0}^{\infty}(\Phi_{c}^{*})^{2}\,\rho\,d\rho=1\,, (5.81)

where Φc0\Phi_{c}^{*}\to 0 and ρNc2Nc/ρ\partial_{\rho}N_{c}^{*\prime}\sim-{2N_{c}^{*}/\rho} as ρ\rho\to\infty. In Fig. 10 we plot the core solution VcV_{c} and UcU_{c} for f=0.5f=0.5. In Fig. 11 we plot the numerically computed eigenfunction Φc,Nc\Phi_{c},\,N_{c} (left panel) and adjoint eigenfunction Φc,Nc\Phi_{c}^{*},\,N_{c}^{*} (right panel) when f=0.5f=0.5.

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Figure 10: Plot of the core solution, computed numerically from (5.68), at S=Sc(f)S=S_{c}(f) where the peanut-shape instability originates when f=0.5f=0.5. Left panel: Vc(ρ)V_{c}(\rho). Right panel: Uc(ρ)U_{c}(\rho).
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Figure 11: Left panel: Plot of Φc\Phi_{c} (solid curve) and NcN_{c} (dashed curve) for f=0.5f=0.5, computed numerically from (5.80). Right panel: Plot of Φc\Phi_{c}^{*} (solid curve) and NcN_{c}^{*} (dashed curve) for f=0.5f=0.5, computed numerically from (5.81).

5.1 Amplitude equation for the Brusselator model

We now derive the amplitude equation associated with the peanut-splitting linear stability threshold for the Brusselator. Since this analysis is very similar to that for the Schnakenberg model in §4 we only briefly outline the analysis.

We begin by introducing a neighborhood of ScS_{c} and a slow time TT defined by

S=Sc+κσ2,κ=±1;Tσ2t.S=S_{c}+\kappa\sigma^{2}\,,\quad\kappa=\pm 1\,;\qquad T\equiv\sigma^{2}t\,. (5.82)

In terms of the inner variables (5.66) and (5.82), we have

σ2VT=Δ𝐲VV+fUV2+ε2ED,τDε2σ2UT=Δ𝐲U+VUV2,\begin{split}\sigma^{2}V_{T}&=\Delta_{\mathbf{y}}V-V+fUV^{2}+\frac{\varepsilon^{2}E}{\sqrt{D}}\,,\\ \frac{\tau}{D}\varepsilon^{2}\sigma^{2}U_{T}&=\Delta_{\mathbf{y}}U+V-UV^{2}\,,\end{split} (5.83)

with V0V\to 0 exponentially as ρ\rho\to\infty and

U(Sc+κσ2)logρ+χ(Sc)+σ2[κχ(Sc)+𝒪(1)],asρ=|𝐲|.\quad U\sim(S_{c}+\kappa\sigma^{2})\log\rho+\chi(S_{c})+\sigma^{2}\left[\kappa\chi^{\prime}(S_{c})+\mathcal{O}(1)\right]\,,\quad\mbox{as}\quad\rho=|\mathbf{y}|\to\infty\,. (5.84)

We now use an approach similar to that in §4 to derive the amplitude equation for the Brusselator model. We substitute the expansion (4.35) into (5.83) and collect powers of σ\sigma, and we assume that σ3𝒪(ε2)\sigma^{3}\gg\mathcal{O}(\varepsilon^{2}) as in (4.36). To leading order in σ\sigma, we obtain that V0=VcV_{0}=V_{c} and U0=UcU_{0}=U_{c}. The solution (V1,U1)(V_{1},U_{1}) of the 𝒪(σ)\mathcal{O}(\sigma) problem is

(V1U1)=A(T)cos(2ϕ)(Φc(ρ)Nc(ρ)),\begin{pmatrix}V_{1}\\ U_{1}\end{pmatrix}=A(T)\cos(2\phi)\begin{pmatrix}\Phi_{c}(\rho)\\ N_{c}(\rho)\end{pmatrix}\,, (5.85)

where A(T)A(T) is the unknown amplitude and Φc,Nc\Phi_{c},\,N_{c} is the eigenfunction of (5.80).

From our assumption that σ3𝒪(ε2)\sigma^{3}\gg\mathcal{O}(\varepsilon^{2}), we can neglect the 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) terms in (5.83) as well as the 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) feedback term in (5.75) arising from the outer solution. In this way, the 𝒪(σ2)\mathcal{O}(\sigma^{2}) problem for 𝐕2=(V2,U2)\mathbf{V}_{2}=(V_{2},U_{2}) is given on 𝐲2\mathbf{y}\in\mathbb{R}^{2} by

Δ𝐲𝐕2+Mc𝐕2=F2𝐪,whereF2UcV12+2VcV1U1,𝐪(f1),V20,U2κ[logρ+χ(S;f)S|S=Sc+𝒪(1)],asρ.\begin{split}&\Delta_{\mathbf{y}}\mathbf{V}_{2}+M_{c}\mathbf{V}_{2}=F_{2}\,\mathbf{q}\,,\quad\mbox{where}\quad F_{2}\equiv U_{c}V_{1}^{2}+2V_{c}V_{1}U_{1}\,,\quad\mathbf{q}\equiv\begin{pmatrix}-f\\ 1\end{pmatrix},\\ &V_{2}\to 0,\quad U_{2}\sim\kappa\left[\log\rho+\left.\frac{\partial\chi(S\,;f)}{\partial S}\right|_{S=S_{c}}+\mathcal{O}(1)\right]\,,\quad\mbox{as}\quad\rho\to\infty\,.\end{split} (5.86)

Here McM_{c} is given in (5.80). As we have shown in §4, the solution to (5.86) can be conveniently decomposed as

𝐕2=κ𝐖2H+A2𝐕^20(ρ)+A2𝐕24(ρ)cos(4ϕ),\mathbf{V}_{2}=\kappa\mathbf{W}_{2H}+A^{2}\hat{\mathbf{V}}_{20}(\rho)+A^{2}\mathbf{V}_{24}(\rho)\cos(4\phi)\,, (5.87)

where 𝐖2H=(SVc,SUc)\mathbf{W}_{2H}=(\partial_{S}V_{c},\,\partial_{S}U_{c}). Here 𝐕^20=(V^20,U^20)\hat{\mathbf{V}}_{20}=(\hat{V}_{20},\hat{U}_{20}) and 𝐕24=(V24,U24)\mathbf{V}_{24}=(V_{24},U_{24}) satisfy

Δρ𝐕^20+Mc𝐕^20=F20𝐪;\displaystyle\Delta_{\rho}\hat{\mathbf{V}}_{20}+M_{c}\hat{\mathbf{V}}_{20}=F_{20}\,\mathbf{q}\,; V^200,U^200,asρ,\displaystyle\qquad\hat{V}_{20}\to 0\,,\quad\hat{U}_{20}^{\prime}\to 0\,,\quad\mbox{as}\quad\rho\to\infty\,, (5.88a)
4𝐕24+Mc𝐕24=F20𝐪;\displaystyle\mathcal{L}_{4}\mathbf{V}_{24}+M_{c}\mathbf{V}_{24}=F_{20}\,\mathbf{q}\,; V240,U244U24ρ,asρ.\displaystyle\qquad V_{24}\to 0\,,\quad U_{24}^{\prime}\sim-\frac{4U_{24}}{\rho}\,,\quad\mbox{as}\quad\rho\to\infty\,. (5.88b)

Here F20=F20(ρ)F_{20}=F_{20}(\rho) is defined by

F20=12(UcΦc2+2VcΦcNc).F_{20}=\frac{1}{2}\left(U_{c}\Phi_{c}^{2}+2V_{c}\Phi_{c}N_{c}\right)\,. (5.89)

As in §4, we must numerically compute the solutions to (5.88a) and (5.88b). In Fig. 12 we plot these solutions for f=0.5f=0.5. We observe from the left panel of Fig. 12 that U^20\hat{U}_{20} tends to a nonzero constant for ρ1\rho\gg 1.

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Figure 12: Left panel: V^20\hat{V}_{20} (solid curve) and U^20\hat{U}_{20} (dashed curve) for f=0.5f=0.5 as computed numerically from (5.88a). Right panel: V^24\hat{V}_{24} (solid curve) and U^24\hat{U}_{24} (dashed curve) for f=0.5f=0.5 as computed numerically from (5.88b).

Next, by collecting the 𝒪(σ3)\mathcal{O}(\sigma^{3}) terms in the weakly nonlinear expansion, we find that 𝐕3=(V3,U3)\mathbf{V}_{3}=(V_{3},U_{3}) satisfies

Δ𝐲𝐕3+Mc𝐕3=F3𝐪+TV1𝐞1,𝐕3𝟎,asρ.\Delta_{\mathbf{y}}\mathbf{V}_{3}+M_{c}\mathbf{V}_{3}=F_{3}\,\mathbf{q}+\partial_{T}V_{1}\,\mathbf{e}_{1}\,,\quad\mathbf{V}_{3}\to\mathbf{0}\,,\quad\mbox{as}\quad\rho\to\infty\,. (5.90a)
Here 𝐪\mathbf{q} is defined in (5.86), while F3F_{3} and 𝐞1\mathbf{e}_{1} are defined by
F32VcV1U2+U1V12+2VcU1V2+2UcV1V2,𝐞1(1,0).F_{3}\equiv 2V_{c}V_{1}U_{2}+U_{1}V_{1}^{2}+2V_{c}U_{1}V_{2}+2U_{c}V_{1}V_{2}\,,\qquad\mathbf{e}_{1}\equiv(1,0)\,. (5.90b)

By using the expressions for V1,U1V_{1},\,U_{1} and V2,U2V_{2},\,U_{2} from (5.85) and (5.87), respectively, we can obtain a modal expansion of F3F_{3} exactly as in (4.51) for the Schnakenberg model. In this way, we obtain (4.52) in which we replace 𝐪\mathbf{q} by 𝐪=(f,1)\mathbf{q}=(-f,1).

The remainder of the analysis involving the imposition of the solvability condition to derive the amplitude equation exactly parallels that done in §4. We conclude that the amplitude equation associated with peanut-shape deformations of a a spot is

dAdT=κc1A+c3A3,T=σ2t,\frac{dA}{dT}=\kappa c_{1}A+c_{3}A^{3}\,,\quad T=\sigma^{2}t\,, (5.91a)
where c1c_{1} and c3c_{3}, which depend on the Brusselator parameter ff, are given by
c1=0g1(fΦcNc)ρdρ0ΦcΦcρdρ,c3=0g2(fΦcNc)ρdρ0ΦcΦcρdρ.c_{1}=\frac{\int_{0}^{\infty}g_{1}(f\Phi_{c}^{*}-N_{c}^{*})\,\rho\,\mathrm{d}\rho}{\int_{0}^{\infty}\Phi_{c}\Phi_{c}^{*}\,\rho\,\mathrm{d}\rho}\,,\quad c_{3}=\frac{\int_{0}^{\infty}g_{2}(f\Phi_{c}^{*}-N_{c}^{*})\,\rho\,\mathrm{d}\rho}{\int_{0}^{\infty}\Phi_{c}\Phi_{c}^{*}\,\rho\,\mathrm{d}\rho}\,. (5.91b)

Here g1g_{1} and g2g_{2} are defined in (4.51b) and (4.51c), respectively, in terms of the Brusselator core solution Vc,UcV_{c},\,U_{c}, its eigenfunction Φc,Nc\Phi_{c},\,N_{c} satisfying (5.80), and the solutions to (5.88a) and (5.88b).

In Fig. 13 we plot the numerically computed coefficients c1c_{1} and c3c_{3} in the amplitude equation (5.91a) versus the Brusselator parameter ff on 0.15<f<0.90.15<f<0.9. We observe that both c1>0c_{1}>0 and c3>0c_{3}>0 on this range. This establishes that the peanut-shaped deformation of a steady-state spot is always subcritical, and that the emerging solution branch of non-radially symmetric spot equilibria, which exists only if κ=1\kappa=-1, is linearly unstable. The steady-state amplitude of this bifurcating non-radially symmetric solution branch is

A~0=c1(ScS)c3,valid forScS=σ2𝒪(ε4/3).\tilde{A}_{0}=\sqrt{\frac{c_{1}(S_{c}-S)}{c_{3}}}\,,\quad\mbox{valid for}\quad S_{c}-S=\sigma^{2}\gg\mathcal{O}(\varepsilon^{4/3})\,. (5.92)
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Figure 13: Numerical results for coefficients in the amplitude equation (5.91b). Left panel: c1c_{1} versus ff. Right panel: c3c_{3} versus ff. For 0.15f0.90.15\leq f\leq 0.9, we conclude that c1c_{1} and c3c_{3} are positive. This shows that the peanut-shape deformation linear instability is subcritical on this range.

For three values of ff, in Fig. 14 we favorably compare our weakly nonlinear analysis result (5.92) with corresponding full numerical results computed from the steady-state of the Brusselator (5.65) with ε=0.01\varepsilon=0.01 in a quarter-disk geometry (see Fig. 3). The full numerical results are obtained using the continuation software pde2path [34], and in Fig. 14 we plot the norm of the deviation from the radiallly symmetric steady state (see (4.63)).

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Figure 14: Plot of vv0||v-v_{0}|| versus SScS-S_{c}^{*} computed numerically from the full PDE (5.65) with ε=0.01\varepsilon=0.01 using pde2path [34]. Here ScS_{c}^{*} is the numerically computed bifurcation value. Numerical results are compared with the asymptotic result επ2A~0=ε2πc1(ScS)c3\frac{\varepsilon\sqrt{\pi}}{2}\tilde{A}_{0}=\frac{\varepsilon}{2}\sqrt{\frac{\pi c_{1}(S_{c}-S)}{c_{3}}} (see 4.64) for the steady-state amplitude, as given in (5.92), where ScS_{c} is the asymptotic result computed from the eigenvalue problem (5.79) for the onset of the mode m=2m=2 peanut-shaped instability. Left panel: f=0.7f=0.7. Middle panel: f=0.5f=0.5. Right panel: f=0.35f=0.35.

6 Discussion

We have developed and implemented a weakly nonlinear theory to derive a normal form amplitude equation characterizing the branching behavior associated with peanut-shaped non-radially symmetric linear instabilities of a steady-state spot solution for both the Schnakenberg and Brusselator RD systems. From a numerical computation of the coefficients in the amplitude equation we have shown that such peanut-shaped linear instabilities for these specific RD systems are always subcritical. A numerical bifurcation study using pde2path [34] of a localized steady-state spot was used to validate the weakly nonlinear theory, and has revealed the existence of a branch of unstable non-radially symmetric steady-state localized spot solutions. Our weakly nonlinear theory provides a theoretical basis for the observations in [13], [28] and [32] (see also [30]) obtained through full PDE simulations that a linear peanut-shaped instability of a localized spot is the mechanism triggering a fully nonlinear spot self-replication event.

We remark that instabilities resulting from non-radially symmetric shape deformations of a steady-state localized spot solution are localized instabilities, since the associated eigenfunction for shape instabilities decays rapidly away from the center of a spot. As a result, our weakly nonlinear analysis predicting a subcritical peanut-shape instability also applies to steady-state spot patterns of the 2-D Gray-Scott model analyzed in [4], which has the same nonlinear kinetics near a spot as does the Schnakenberg RD system.

However, an important technical limitation of our analysis is that our weakly nonlinear theory is restricted to the consideration of steady-state spot patterns, and does not apply to quasi-equilibrium spot patterns where the centers of the spots evolve dynamically on asymptotically long 𝒪(ε2)\mathcal{O}(\varepsilon^{-2}) time intervals towards a steady-state spatial configuration of spots. For such quasi-equilibrium spot patterns there is a non-vanishing 𝒪(ε)\mathcal{O}(\varepsilon) feedback from the outer solution that results from the interaction of a spot with the domain boundary or with the other spots in the pattern. This 𝒪(ε)\mathcal{O}(\varepsilon) feedback term then violates the asymptotic ordering of the correction terms in our weakly nonlinear perturbation expansion. For steady-state spot patterns there is an asymptotically smaller 𝒪(ε2)\mathcal{O}(\varepsilon^{2}) feedback from the outer solution, and so our weakly nonlinear analysis is valid for |SSc|=𝒪(σ2)|S-S_{c}|={\mathcal{O}}(\sigma^{2}), under the assumption that σ3𝒪(ε2)\sigma^{3}\gg\mathcal{O}(\varepsilon^{2}) (see Remark 2.1). Here ScS_{c} is the spot source strength at which a zero-eigenvalue crossing occurs for a small peanut-shaped deformation of a localized spot. In contrast, for a quasi-equilibrium spot pattern, it was shown for the Schnakenburg model in §2.4 of [13] that, when SSc=𝒪(ε)S-S_{c}=\mathcal{O}(\varepsilon), the direction of the bulge of a peanut-shaped linear instability is perpendicular to the instantaneous direction of motion of a spot. This result was based on a simultaneous linear analysis of mode m=1m=1 (translation) and mode m=2m=2 (peanut-shape) localized instabilities near a spot. The full PDE simulations in [13] indicate that this linear instability triggers a fully nonlinear spot-splitting event where the spot undergoes a splitting process in a direction perpendicular to its motion. To provide a theoretical understanding of this phenomena it would be worthwhile to extend this previous linear theory of [13] for quasi-equilibrium spot patterns to the weakly nonlinear regime.

Although our weakly nonlinear theory of spot-shape deformation instabilities has only been implemented for the Schnakenberg and Brusselator RD systems, the hybrid analytical-numerical theoretical framework presented herein applies more generally to other reaction kinetics where a localized steady-state spot solution can be constructed. It would be interesting to determine whether one can identify other RD systems where the branching is supercritical, thereby allowing for the existence of linearly stable non-radially symmetric localized spot steady-states.

In another direction, for the Schnakenberg model in a 3-D spatial domain, it was shown recently in [33] through PDE simulations that a peanut-shaped linear instability is also the trigger for a nonlinear spot self-replication event. It would be worthwhile to extend our 2-D weakly nonlinear theory to this more intricate 3-D setting.

7 Acknowledgements

Tony Wong was supported by a UBC Four-Year Graduate Fellowship. Michael Ward gratefully acknowledges the financial support from the NSERC Discovery Grant program. The authors would like to thank Frédéric Paquin- Lefebvre for some insightful discussions.

Appendix A Far-field condition for U^20\hat{U}_{20} for the Schnakenberg model

We derive the far-field condition for U^20\hat{U}_{20} used in (4.48) in the derivation of the amplitude equation for peanut-splitting instabilities for the Schnakenberg model. We first observe that the second component U^20\hat{U}_{20} of (4.48) satisfies

U^20′′+1ρU^20Vc2U^20=F20+2UcVcV^20,forρ0,\hat{U}_{20}^{\prime\prime}+\frac{1}{\rho}\hat{U}_{20}^{\prime}-V_{c}^{2}\hat{U}_{20}=F_{20}+2U_{c}V_{c}\hat{V}_{20}\,,\quad\mbox{for}\quad\rho\geq 0\,, (A.1)

where F20F_{20} is defined in (4.42) and where primes indicate derivatives in ρ\rho. For ρ\rho\to\infty, we have from the first equation in (4.48) that ΔρVcVc0\Delta_{\rho}V_{c}-V_{c}\sim 0 with Vc0V_{c}\to 0 as ρ\rho\to\infty. This yields the asymptotic decay behavior

Vcαρ1/2eρ,so thatVc(1+12ρ)Vc,asρ,V_{c}\sim\alpha\rho^{-1/2}e^{-\rho}\,,\quad\mbox{so that}\quad V_{c}^{\prime}\sim-\left(1+\frac{1}{2\rho}\right)V_{c}\,,\quad\mbox{as}\quad\rho\to\infty\,, (A.2)

for some α>0\alpha>0. As such, we impose Vc=[1+1/(2ρ)]VcV_{c}^{\prime}=-\left[1+{1/(2\rho)}\right]V_{c} at ρ=ρm20\rho=\rho_{m}\approx 20 in solving (4.48) numerically. The constant α\alpha in (A.2) can be calculated from the limit α=limρρeρVc(ρ)\alpha=\lim_{\rho\to\infty}\sqrt{\rho}\,e^{\rho}V_{c}(\rho). Our numerical solution of the BVP problem (4.48) with ρm=20\rho_{m}=20 yields α32.5\alpha\approx 32.5.

To find the asymptotic behavior for U^20\hat{U}_{20} in (A.1) we decompose it into homogeneous and inhomogeneous parts as

U^20=U^h+U^p,\hat{U}_{20}=\hat{U}_{h}+\hat{U}_{p}\,, (A.3a)
where U^h\hat{U}_{h} and U^p\hat{U}_{p} satisfies
U^h′′+1ρU^hVc2U^h=0,U^p′′+1ρU^pVc2U^p=F20+2UcVcV^20.\hat{U}_{h}^{\prime\prime}+\frac{1}{\rho}\hat{U}_{h}^{\prime}-V_{c}^{2}\hat{U}_{h}=0\,,\qquad\hat{U}_{p}^{\prime\prime}+\frac{1}{\rho}\hat{U}_{p}^{\prime}-V_{c}^{2}\hat{U}_{p}=F_{20}+2U_{c}V_{c}\hat{V}_{20}\,. (A.3b)

We first estimate U^h\hat{U}_{h} for ρ\rho\to\infty. By using (A.2) for VcV_{c}, and using the dominant balance ansatz U^h=eR\hat{U}_{h}=e^{R}, we obtain that (A.3b) transforms exactly to

1ρ(ρR)+1ρR+(R)2α2e2ρρ,asρ.\frac{1}{\rho}\left(\rho R^{\prime}\right)^{\prime}+\frac{1}{\rho}R^{\prime}+(R^{\prime})^{2}\sim\frac{\alpha^{2}e^{-2\rho}}{\rho}\,,\quad\mbox{as}\quad\rho\to\infty\,. (A.4)

To estimate the asymptotic behavior of RR^{\prime} we apply the method of dominant balance. The appropriate balance for ρ1\rho\gg 1 is found to be (ρR)α2e2ρ\left(\rho\,R^{\prime}\right)^{\prime}\sim\alpha^{2}e^{-2\rho}, which yields

Rα2e2ρ2ρ,forρ1.R^{\prime}\sim-\frac{\alpha^{2}e^{-2\rho}}{2\rho}\,,\quad\mbox{for}\quad\rho\gg 1\,. (A.5)

Our leading-order balance is self-consistent since we have (R)2ρ1α2e2ρ\left(R^{\prime}\right)^{2}\ll\rho^{-1}\alpha^{2}e^{-2\rho} for ρ1\rho\gg 1. By integrating RR^{\prime} in (A.5), we get

Rα2e2ρ4ρ[1+𝒪(1ρ)]+constant,asρ.R\sim\frac{\alpha^{2}e^{-2\rho}}{4\rho}\left[1+\mathcal{O}\left(\frac{1}{\rho}\right)\right]+\mbox{constant}\,,\quad\mbox{as}\quad\rho\to\infty\,. (A.6)

Therefore, we have

U^hK(1+α2e2ρ4ρ),asρ,\hat{U}_{h}\sim K\left(1+\frac{\alpha^{2}e^{-2\rho}}{4\rho}\right)\,,\quad\mbox{as}\quad\rho\to\infty\,, (A.7)

for some constant K>0K>0. By differentiating the ansatz U^h=eR\hat{U}_{h}=e^{R}, followed by using the estimates (A.5) and (A.7), we obtain

U^h=RU^hK(α2e2ρ2ρ)(1+α2e2ρ4ρ),asρ.\hat{U}_{h}^{\prime}=R^{\prime}\,\hat{U}_{h}\sim-K\left(\frac{\alpha^{2}e^{-2\rho}}{2\rho}\right)\left(1+\frac{\alpha^{2}e^{-2\rho}}{4\rho}\right)\,,\quad\mbox{as}\quad\rho\to\infty\,. (A.8)

As a result, we conclude for the homogeneous solution U^h\hat{U}_{h} that

U^h0exponentially asρ.\hat{U}_{h}^{\prime}\to 0\quad\mbox{exponentially as}\quad\rho\to\infty\,. (A.9)

Next, we consider the particular solution U^p\hat{U}_{p} satisfying (A.3b). We use the far field behavior V^20=𝒪(ρ1/2eρ)\hat{V}_{20}=\mathcal{O}\left(\rho^{-1/2}e^{-\rho}\right), Vc=𝒪(ρ1/2eρ)V_{c}=\mathcal{O}\left(\rho^{-1/2}e^{-\rho}\right), Uc=𝒪(logρ)U_{c}=\mathcal{O}(\log\rho), Φc=𝒪(ρ1/2eρ)\Phi_{c}=\mathcal{O}\left(\rho^{-1/2}e^{-\rho}\right) and Nc=𝒪(ρ2)N_{c}=\mathcal{O}\left(\rho^{-2}\right) for ρ1\rho\gg 1, to deduce from (5.89) that

F20=𝒪(ρ1e2ρlogρ),andUcVcV^20=𝒪(ρ1e2ρlogρ),asρ.F_{20}=\mathcal{O}\left(\rho^{-1}e^{-2\rho}\log\rho\right)\,,\quad\mbox{and}\quad U_{c}V_{c}\hat{V}_{20}=\mathcal{O}\left(\rho^{-1}e^{-2\rho}\log\rho\right)\,,\quad\mbox{as}\quad\rho\to\infty\,. (A.10)

Therefore, from (A.3b), for ρ1\rho\gg 1 the particular solution U^p\hat{U}_{p} satisfies

(ρU^p)ρ𝒪(ρ1e2ρ)U^p=𝒪(ρ1e2ρlogρ).\frac{(\rho\,\hat{U}_{p}^{\prime})^{\prime}}{\rho}-\mathcal{O}(\rho^{-1}e^{-2\rho})\hat{U}_{p}=\mathcal{O}\left(\rho^{-1}e^{-2\rho}\log\rho\right)\,. (A.11)

By balancing the first and third terms in this expression we get

(ρU^p)=𝒪(e2ρlogρ),asρ.(\rho\,\hat{U}_{p}^{\prime})^{\prime}=\mathcal{O}(e^{-2\rho}\log\rho)\,,\quad\mbox{as}\quad\rho\to\infty\,. (A.12)

From this expression, we readily derive that

U^p=𝒪(ρ1e2ρlogρ),asρ.\hat{U}_{p}^{\prime}=\mathcal{O}\left(\rho^{-1}e^{-2\rho}\log\rho\right)\,,\quad\mbox{as}\quad\rho\to\infty\,. (A.13)

This shows that U^p0\hat{U}_{p}^{\prime}\to 0 exponentially as ρ\rho\to\infty. Upon combining this result with (A.9) we conclude that

U^20=U^h+U^p0,asρ.\hat{U}_{20}^{\prime}=\hat{U}_{h}^{\prime}+\hat{U}_{p}^{\prime}\to 0\,,\quad\mbox{as}\quad\rho\to\infty\,. (A.14)

This dominant balance analysis justifies our imposition of the homogeneous Neumann far-field condition for U^20\hat{U}_{20} in (4.48) for the Schnakenberg model. An identical argument can be performed to justify the far-field condition in (5.88a) for the Brusselator model.

From our numerical computation of U^20\hat{U}_{20} from (4.48), shown in Fig. 6, we observe that U^20U200\hat{U}_{20}\to U_{20\infty}\neq 0 as ρ\rho\to\infty. We now show how this non-vanishing limit can be accounted for in a modified outer solution. From (4.35) we have for S=Sc+κσ2S=S_{c}+\kappa\sigma^{2} that

U=Uc+σU1+σ2U2+σ3U3+,U=U_{c}+\sigma U_{1}+\sigma^{2}U_{2}+\sigma^{3}U_{3}+\ldots\,, (A.15)

where U1=Acos(2ϕ)NcU_{1}=A\cos(2\phi)N_{c} from (4.40), while U2=κSUc+A2U^20+A2U24cos(4ϕ)U_{2}=\kappa\,\partial_{S}U_{c}+A^{2}\hat{U}_{20}+A^{2}U_{24}\cos(4\phi) from (4.43) and (4.47). Since UcSclogρ+χ(Sc)+o(1)U_{c}\sim S_{c}\log\rho+\chi(S_{c})+o(1) as ρ\rho\to\infty, while Nc0N_{c}\to 0 and U240U_{24}\to 0 as ρ\rho\to\infty, we obtain that the far-field behavior of UU is

USclogρ+χ(Sc)+σ2[κlogρ+κχ(Sc)+A2U^20]+,asρ=|𝐲|,U\sim S_{c}\log\rho+\chi(S_{c})+\sigma^{2}\left[\kappa\log\rho+\kappa\chi^{\prime}(S_{c})+A^{2}\hat{U}_{20\infty}\right]+\ldots\,,\quad\mbox{as}\quad\rho=|\mathbf{y}|\to\infty\,, (A.16)

which specifies the 𝒪(1)\mathcal{O}(1) term in (4.34b). Since u=U/Du={U/\sqrt{D}} and S=a/(2D)S={a/(2\sqrt{D})} from (2.8), the modified outer solution has the form

u=1D(Sclog|𝐱|Sc|𝐱|22+χ(Sc)+Scν)+σ2u1+o(σ2),u=\frac{1}{\sqrt{D}}\left(S_{c}\log|\mathbf{x}|-\frac{S_{c}|\mathbf{x}|^{2}}{2}+\chi(S_{c})+\frac{S_{c}}{\nu}\right)+\sigma^{2}u_{1}+o(\sigma^{2})\,, (A.17)

where, in the unit disk Ω\Omega, u1u_{1} satisfies

Δu1\displaystyle\Delta u_{1} =2κD,in𝐱Ω\{𝟎};nu1=0,𝐱Ω,\displaystyle=-\frac{2\kappa}{\sqrt{D}}\,,\quad\mbox{in}\quad\mathbf{x}\in\Omega\backslash\{{\mathbf{0}\}}\,;\qquad\partial_{n}u_{1}=0\,,\quad\mathbf{x}\in\partial\Omega\,, (A.18a)
u1\displaystyle u_{1} 1D(κlog|𝐱|+κν+κχ(Sc)+A2U^20)+o(1),as𝐱𝟎,\displaystyle\sim\frac{1}{\sqrt{D}}\left(\kappa\log|\mathbf{x}|+\frac{\kappa}{\nu}+\kappa\chi^{\prime}(S_{c})+A^{2}\hat{U}_{20\infty}\right)+o(1)\,,\quad\mbox{as}\quad\mathbf{x}\to\mathbf{0}\,, (A.18b)

where ν=1/logε\nu={-1/\log\varepsilon}. To complete the expansion in (A.17) we solve (A.18) to get

u1=1D(κlog|𝐱|+κνκ|𝐱|22+κχ(Sc)+A2U^20).u_{1}=\frac{1}{\sqrt{D}}\left(\kappa\log|\mathbf{x}|+\frac{\kappa}{\nu}-\frac{\kappa|\mathbf{x}|^{2}}{2}+\kappa\chi^{\prime}(S_{c})+A^{2}\hat{U}_{20\infty}\right)\,. (A.19)

In this way, the non-vanishing limiting behavior of U^20\hat{U}_{20} as ρ\rho\to\infty leads to only a simple modification of the outer solution as given in (2.15).

Finally, we remark that an identical modification of the outer expansion for the Brusselator model can be done when deriving the amplitude equation for peanut-shaped instability of a localized spot.

References

  • [1] Y. A. Astrov, H. G. Purwins, Spontaneous division of dissipative solitons in a planar gas-discharge system with high ohmic electrode, Phys. Lett. A, 358(5-6), (2006), pp. 404–408.
  • [2] D. Avitabile, V. Brena-Medina, M. J. Ward, Spot dynamics in a plant hair initiation model, SIAM J. Appl. Math., 78(1), (2018), pp. 291–319.
  • [3] T. K. Callahan, Turing patterns with O(3) symmetry, Physica D, 188(1), (2004), pp. 65–91.
  • [4] W. Chen, M. J. Ward, The stability and dynamics of localized spot patterns in the two-dimensional Gray-Scott model, SIAM J. Appl. Dyn. Sys., 10(2), (2011), pp. 582–666.
  • [5] M. Cross, P. Hohenburg, Pattern formation outside of equilibrium, Rev. Mod. Physics, 65, (1993), pp. 851-1112.
  • [6] P. W. Davis, P. Blanchedeau, E. Dullos and P. De Kepper (1998), Dividing blobs, chemical flowers, and patterned islands in a reaction-diffusion system, J. Phys. Chem. A, 102(43), pp. 8236–8244.
  • [7] A. Doelman, R. A. Gardner, T. J. Kaper, Stability analysis of singular patterns in the 1D Gray-Scott model: A matched asymptotics approach, Physica D, 122(1-4), (1998), pp. 1-36.
  • [8] S. Ei, Y. Nishiura, K. Ueda, 2n2^{n} splitting or edge splitting?: A manner of splitting in dissipative systems, Japan. J. Indus. Appl. Math., 18, (2001), pp. 181-205.
  • [9] D. Gomez, L. Mei, J. Wei, Stable and unstable periodic spiky solutions for the Gray-Scott system and the Schnakenberg system, to appear, J. Dyn. Diff. Eqns. (2020).
  • [10] E. Knobloch, Spatial localization in dissipative systems, Annu. Rev. Cond. Mat. Phys., 6, (2015), pp. 325–359.
  • [11] T. Kolokolnikov, M. Ward, J. Wei, The stability of spike equilibria in the one-dimensional Gray-Scott model: the pulse-splitting regime, Physica D, 202(3-4), (2005), pp. 258–293.
  • [12] T. Kolokolnikov, M. J. Ward, J. Wei, Pulse-splitting for some reaction-diffusion systems in one-space dimension, Studies in Appl. Math., 114(2), (2005), pp. 115–165.
  • [13] T. Kolokolnikov, M. J. Ward, J. Wei, Spot self-replication and dynamics for the Schnakenberg model in a two-dimensional domain, J. Nonlinear Sci., 19(1), (2009), pp. 1–56.
  • [14] K. J. Lee, W. D. McCormick, J. E. Pearson, H. L. Swinney, Experimental observation of self-replicating spots in a reaction-diffusion system, Nature, 369, (1994), pp. 215-218.
  • [15] K. J. Lee, H. Swinney, Lamellar structures and self-replicating spots in a reaction-diffusion system, Phys. Rev. E, 51(3), (1995), pp. 1899–1915.
  • [16] F. Paquin-Lefebvre, T. Kolokolnikov, M. J. Ward, Competition instabilities of pulse patterns for the 1-d Gierer-Meinhardt model are subcritical, to be submitted, SIAM J. Appl. Math., (2020).
  • [17] P. C. Matthews, Transcritical bifurcation with O(3)O(3) symmetry, Nonlinearity, 16(4), (2003), pp. 1449–1471.
  • [18] P. C. Matthews, Pattern formation on a sphere, Phys. Rev. E., 67(3), (2003), pp. 036206.
  • [19] C. Muratov, V. V. Osipov, Static spike autosolitons in the Gray-Scott model, J. Phys. A: Math Gen. 33, (2000), pp. 8893–8916.
  • [20] C. Muratov, V. V. Osipov, Spike autosolitons and pattern formation scenarios in the two-dimensional Gray-Scott model, Eur. Phys. J. B. 22, (2001), pp. 213–221.
  • [21] Y. Nishiura, Far-from equilibrium dynamics, translations of mathematical monographs, Vol. 209, (2002), AMS Publications, Providence, Rhode Island.
  • [22] Y. Nishiura, D. Ueyama, A skeleton structure of self-replicating dynamics, Physica D, 130(1-2), (1999), pp. 73-104.
  • [23] , Y. Nishiura, T. Teramoto, K. I. Ueda, Scattering of traveling spots in dissipative systems, Chaos 15(4), 047509 (2005).
  • [24] F. Paquin-Lefebrve, W. Nagata, M. J. Ward, Pattern formation and oscillatory dynamics in a 2-d coupled bulk-surface reaction-diffusion system, SIAM J. Appl. Dyn. Sys., 18(3), (2019), pp. 1334-1390.
  • [25] J. E. Pearson, Complex patterns in a simple system, Science, 216, (1993), pp. 189–192.
  • [26] I. Prigogine, R. Lefever, Symmetry breaking instabilities in dissipative systems. II, J. Chem. Physics, 48, (1968), pp. 1695.
  • [27] W. N. Reynolds, S. Ponce-Dawson, J. E. Pearson, Self-replicating spots in reaction-diffusion systems, Phys. Rev. E, 56(1), (1997), pp. 185-198.
  • [28] I. Rozada, S. Ruuth, M. J. Ward, The stability of localized spot patterns for the Brusselator on the sphere, SIAM J. Appl. Dyn. Sys., 13(1), (2014), pp. 564–627.
  • [29] T. Teramoto, K. Suzuki, Y. Nishiura, Rotational motion of traveling spots in dissipative systems, Phys. Rev. E. 80(4):046208, (2009).
  • [30] P. Trinh, M. J. Ward, The dynamics of localized spot patterns for reaction-diffusion systems on the sphere, Nonlinearity, 29(3), (2016), pp. 766–806.
  • [31] A. Turing, The chemical basis of morphogenesis, Phil. Trans. Roy. Soc. B, 327, (1952), pp. 37–72.
  • [32] J. Tzou, M. J. Ward, Effect of open systems on the existence, stability, and dynamics of spot patterns in the 2D Brusselator model, Physica D, 373, (2018), pp. 13–37.
  • [33] J. Tzou, S. Xie, T. Kolokolnikov, M. J. Ward, The stability and slow dynamics of localized spot patterns for the 3D Schnakenberg reaction-diffusion model, SIAM J. Appl. Dyn. Sys., 16(1), (2017), pp. 294–336.
  • [34] H. Uecker, D. Wetzel, J. D. Rademacher, Pde2path-A Matlab package for continuation and bifurcation in 2D elliptic systems, Numerical Mathematics: Theory, Methods and Applications, 7(1), (2014), pp. 58–106.
  • [35] D. Ueyama, Dynamics of self-replicating patterns in the one-dimensional Gray-Scott model, Hokkaido Math J., 28(1), (1999), pp. 175-210.
  • [36] V. K. Vanag, I. R. Epstein, Localized patterns in reaction-diffusion systems, Chaos 17(3), 037110, (2007).
  • [37] F. Veerman, Breathing pulses in singularly perturbed reaction-diffusion systems, Nonlinearity, 28, (2015), pp. 2211-2246.
  • [38] D. Walgraef, Spatio-temporal pattern formation, with examples from physics, chemistry, and materials science, in book series, Partially ordered systems, Springer, New York, (1997), 306 p.
  • [39] M. J. Ward, Spots, traps, and patches: asymptotic analysis of localized solutions to some linear and nonlinear diffusive processes, Nonlinearity, 31(8), (2018), R189 (53 pages).
  • [40] J. Wei, M. Winter, Existence and stability of multiple spot solutions for the Gray-Scott model in 2\mathbb{R}^{2}, Physica D, 176(3-4), (2003), pp. 147-180.
  • [41] J. Wei, M. Winter, Stationary multiple spots for reaction-diffusion systems, J. Math. Biol., 57(1), (2008), pp. 53–89.
  • [42] J. Wei, M. Winter, Mathematical aspects of pattern formation in biological systems, Applied Mathematical Science Series, Vol. 189, Springer, (2014).
  • [43] R. Wittenberg, P. Holmes, The limited effectiveness of normal forms: a critical review and extension of local bifurcation studies of the Brusselator PDE, Physica D, 100(1-2), (1997), pp. 1–40.