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Numerical bifurcation and stability for
the capillary-gravity Whitham equation

Efstathios G. Charalampidis Mathematics Department, California Polytechnic State University San Luis Obispo, CA 93407-0403, USA echarala@calpoly.edu  and  Vera Mikyoung Hur Department of Mathematics, University of Illinois at Urbana-Champaign Urbana, IL 61801, USA verahur@math.uiuc.edu
Abstract.

We adopt a robust numerical continuation scheme to examine the global bifurcation of periodic traveling waves of the capillary-gravity Whitham equation, which combines the dispersion in the linear theory of capillary-gravity waves and a shallow water nonlinearity. We employ a highly accurate numerical method for space discretization and time stepping, to address orbital stability and instability for a rich variety of the solutions. Our findings can help classify capillary-gravity waves and understand their long-term dynamics.

VMH is supported by the NSF through award DMS-2009981.

1. Introduction

Whitham in his 1967 paper [30] (see also [31]) put forward

(1) ut+cww(|x|)ux+32ghuux=0u_{t}+c_{\text{ww}}(|\partial_{x}|)u_{x}+\frac{3}{2}\sqrt{\frac{g}{h}}uu_{x}=0

to address, qualitatively, breaking and peaking of waves in shallow water. Here and throughout, u(x,t)u(x,t) is related to the displacement of the fluid surface from the rest state at position xx and time tt, and cww(|x|)c_{\rm{\tiny ww}}(|\partial_{x}|) is a Fourier multiplier operator, defined as

(2) \stretchto\scaleto\scalerel[cww(|x|)f] 0.5excww(|x|)f(k)=gtanh(kh)kf^(k),\begin{array}[]{c}\stretchto{\scaleto{\scalerel*[\widthof{c_{\text{ww}}(|\partial_{x}|)f}]{\kern-0.5pt\bigwedge\kern-0.5pt}{\rule[-505.89pt]{4.30554pt}{505.89pt}}}{}}{0.5ex}\\ c_{\text{ww}}(|\partial_{x}|)f\\ \rule{-4.30554pt}{0.0pt}\end{array}(k)=\sqrt{\frac{g\tanh(kh)}{k}}\widehat{f}(k),

where gg is the gravitational constant and hh the undisturbed fluid depth. Notice that cww(k)c_{\text{ww}}(k) is the phase speed of 2π/k2\pi/k periodic waves in the linear theory of water waves [31].

For relatively shallow water or, equivalently, relatively long waves for which kh1kh\ll 1, one can expand the right hand side of (2) to obtain

cww(k)=gh(116k2h2)+O(k4h4),c_{\rm{\tiny ww}}(k)=\sqrt{gh}\Big{(}1-\frac{1}{6}k^{2}h^{2}\Big{)}+O(k^{4}h^{4}),

whereby arriving at the celebrated Korteweg–de Vries (KdV) equation:

(3) ut+gh(ux+16h2uxxx)+32ghuux=0.u_{t}+\sqrt{gh}\Big{(}u_{x}+\frac{1}{6}h^{2}u_{xxx}\Big{)}+\frac{3}{2}\sqrt{\frac{g}{h}}uu_{x}=0.

Therefore (1) and (2) can be regarded as augmenting (3) to include the full dispersion in the linear theory of water waves and, thus, improving over (3) for short and intermediately long waves. Indeed, numerical studies (see [25], for instance) reveal that the Whitham equation performs on par with or better than the KdV equation and other shallow water models in a wide range of amplitude and wavelength parameters.

The KdV equation admits solitary and cnoidal waves but no traveling waves can ‘peak’. By contrast, the so-called extreme Stokes wave possesses a 120120^{\circ} peaking at the crest. Also no solutions of (3) can ‘break’. That means, the solution remains bounded but its slope becomes unbounded. See [31, Section 13.14] for more discussion. This is perhaps not surprising because the dispersion∗*∗**The phase speed is gh(116k2h2)\sqrt{gh}(1-\frac{1}{6}k^{2}h^{2}), poorly approximating cww(k)c_{\text{ww}}(k) when kh1kh\gg 1. of the KdV equation is inadequate for explaining high frequency phenomena of water waves. Whitham [30, 31] conjectured breaking and peaking for (1) and (2). Recently, one of the authors [13] proved breaking, and Ehrnström and Wahlén [9] proved peaking. Johnson and one of the authors [15] proved that a small amplitude and periodic traveling wave of (1) and (2) is modulationally unstable, provided that kh>1.145kh>1.145\dots, comparing with the well-known Benjamin–Feir instability of a Stokes wave. By contrast, all cnoidal waves of (3) are modulationally stable.

When the effects of surface tension are included, Johnson and one of the authors [16] proposed to replace (2) by

(4) \stretchto\scaleto\scalerel[cww(|x|;T)f] 0.5excww(|x|;T)f(k)=(g+Tk2)tanh(kh)kf^(k),\begin{array}[]{c}\stretchto{\scaleto{\scalerel*[\widthof{c_{\text{ww}}(|\partial_{x}|;T)f}]{\kern-0.5pt\bigwedge\kern-0.5pt}{\rule[-505.89pt]{4.30554pt}{505.89pt}}}{}}{0.5ex}\\ c_{\text{ww}}(|\partial_{x}|;T)f\\ \rule{-4.30554pt}{0.0pt}\end{array}(k)=\sqrt{(g+Tk^{2})\frac{\tanh(kh)}{k}}\widehat{f}(k),

where TT is the surface tension coefficient. Notice that cww(k;T)c_{\text{ww}}(k;T) is the phase speed in the linear theory of capillary-gravity waves [31]. When T=0T=0, (4) becomes (2). Since

cww(k;T)=gh(112(13Tgh2)k2h2)+O(k4h4)as kh0,c_{\text{ww}}(k;T)=\sqrt{gh}\Big{(}1-\frac{1}{2}\Big{(}\frac{1}{3}-\frac{T}{gh^{2}}\Big{)}k^{2}h^{2}\Big{)}+O(k^{4}h^{4})\quad\text{as $kh\to 0$},

one arrives at the KdV equation for capillary-gravity waves:

(5) ut+gh(ux+12(13Tgh2)h2uxxx)+32ghuux=0u_{t}+\sqrt{gh}\Big{(}u_{x}+\frac{1}{2}\Big{(}\frac{1}{3}-\frac{T}{gh^{2}}\Big{)}h^{2}u_{xxx}\Big{)}+\frac{3}{2}\sqrt{\frac{g}{h}}uu_{x}=0

in the long wavelength limit unless T/gh2=1/3T/gh^{2}=1/3. Notice that (3) and (5) behave alike, qualitatively, possibly after a sign change. By contrast, whenever T>0T>0, cww(k;T)T|k|c_{\text{ww}}(k;T)\to\sqrt{T|k|} as khkh\to\infty, so that (1) and (4) become

(6) ut+T|x|1/2ux+32ghuux=0u_{t}+\sqrt{T}|\partial_{x}|^{1/2}u_{x}+\frac{3}{2}\sqrt{\frac{g}{h}}uu_{x}=0

to leading order whereas when T=0T=0, ut+g|x|1/2ux+32ghuux=0u_{t}+\sqrt{g}|\partial_{x}|^{-1/2}u_{x}+\frac{3}{2}\sqrt{\frac{g}{h}}uu_{x}=0.

In recent years, the capillary-gravity Whitham equation has been a subject of active research [16, 27, 5, 3, 8] (see also [19, 18, 14, 26, 21]). Particularly, Remonato and Kalisch [27] combined a spectral collocation method and a numerical continuation approach to discover a rich variety of local bifurcation of periodic traveling waves of (1) and (4), notably, crossing and connecting solution branches. Here we adopt a robust numerical continuation scheme to corroborate the results and produce convincing results for global bifurcation. Our findings support local bifurcation theorems (see [8], for instance) and help classify all periodic traveling waves.

We employ an efficient numerical method for solving stiff nonlinear PDEs implemented with fourth-order time differencing, to experiment with (nonlinear) orbital stability and instability for a plethora of periodic traveling waves of (1) and (4). (Spectral) modulational stability and instability were investigated numerically [3] and also analytically for small amplitude [16]. To the best of the authors’ knowledge, however, nonlinear stability and instability have not been addressed. Our novel findings include, among many others, orbital stability for the k=1k=1 branch whenever T>0T>0 versus instability for k2,k\geqslant 2,\in\mathbb{N} branches for great wave height when 0<T/gh21/30<T/gh^{2}\leqslant 1/3.

The methodology here is potentially useful for tackling the capillary-gravity wave problem and other nonlinear dispersive equations.

2. Preliminaries

We rewrite (1) and (4) succinctly as

(7) ut+cww(|x|;T)ux+(u2)x=0,where\stretchto\scaleto\scalerel[cww(|x|;T)f] 0.5excww(|x|;T)f(k)=(1+Tk2)tanh(k)kf^(k).u_{t}+c_{\text{ww}}(|\partial_{x}|;T)u_{x}+(u^{2})_{x}=0,\quad\text{where}\quad\begin{array}[]{c}\stretchto{\scaleto{\scalerel*[\widthof{c_{\text{ww}}(|\partial_{x}|;T)f}]{\kern-0.5pt\bigwedge\kern-0.5pt}{\rule[-505.89pt]{4.30554pt}{505.89pt}}}{}}{0.5ex}\\ c_{\text{ww}}(|\partial_{x}|;T)f\\ \rule{-4.30554pt}{0.0pt}\end{array}(k)=\sqrt{(1+Tk^{2})\frac{\tanh(k)}{k}}\widehat{f}(k).

Seeking a periodic traveling wave of (7), let

u(x,t)=ϕ(z),z=k(xct),u(x,t)=\phi(z),\quad z=k(x-ct),

where cc\in\mathbb{R} (0\neq 0) is the wave speed, k>0k>0 the wave number, and ϕ\phi satisfies, by quadrature and Galilean invariance,

(8) cϕ+cww(k|z|;T)ϕ+ϕ2=0.-c\phi+c_{\text{ww}}(k|\partial_{z}|;T)\phi+\phi^{2}=0.

We assume that ϕ\phi is 2π2\pi periodic and even in the zz variable, so that 2π/k2\pi/k periodic in the xx variable. Notice

(9) cww(k|z|;T){cossin}(nz)=cww(kn;T){cossin}(nz),n.c_{\text{ww}}(k|\partial_{z}|;T)\left\{\begin{matrix}\cos\\ \sin\end{matrix}\right\}(nz)=c_{\text{ww}}(kn;T)\left\{\begin{matrix}\cos\\ \sin\end{matrix}\right\}(nz),\quad n\in\mathbb{Z}.

For any T0T\geqslant 0, k>0k>0 and cc\in\mathbb{R}, clearly, ϕ(z)=0\phi(z)=0 solves (8) and (9). Suppose that TT and kk are fixed. A necessary condition for nontrivial solutions to bifurcate from such trivial solution at some cc is that

cww(k|z|;T)ϕcϕ=0 admits a nontrivial solution,\text{$c_{\text{ww}}(k|\partial_{z}|;T)\phi-c\phi=0$ admits a nontrivial solution},

if and only if c=cww(kn;T)c=c_{\text{ww}}(kn;T) for some nn\in\mathbb{N}, by symmetry, whence

cos(nz)ker(cww(k|z|;T)cww(kn;T)) in some space of even functions.\text{$\cos(nz)\in\ker(c_{\text{ww}}(k|\partial_{z}|;T)-c_{\text{ww}}(kn;T))$ in some space of even functions}.

When T=0T=0, cww(;0)c_{\text{ww}}(\cdot\,;0) monotonically decreases to zero over (0,)(0,\infty), whence for any k>0k>0, cww(kn1;T)>cww(kn2;T)c_{\text{ww}}(kn_{1};T)>c_{\text{ww}}(kn_{2};T) whenever n1,n2n_{1},n_{2}\in\mathbb{N} and n1>n2n_{1}>n_{2}. Therefore, for any k>0k>0 for any nn\in\mathbb{N}, ker(cww(k|z|;0)cww(kn;0))=span{cos(nz)}\ker(c_{\text{ww}}(k|\partial_{z}|;0)-c_{\text{ww}}(kn;0))=\text{span}\{\cos(nz)\} in spaces of even functions.

When T1/3T\geqslant 1/3, cww(;T)c_{\text{ww}}(\cdot\,;T) monotonically increases over (0,)(0,\infty) and unbounded from above, whereby for any k>0k>0 for any nn\in\mathbb{N}, ker(cww(k|z|;T)cww(kn;T))=span{cos(nz)}\ker(c_{\text{ww}}(k|\partial_{z}|;T)-c_{\text{ww}}(kn;T))=\text{span}\{\cos(nz)\}.

When T<1/3T<1/3, to the contrary, cww(kn1;T)=cww(kn2;T)c_{\text{ww}}(kn_{1};T)=c_{\text{ww}}(kn_{2};T) for some k>0k>0 for some n1,n2n_{1},n_{2}\in\mathbb{N} and n1n2n_{1}\neq n_{2}, provided that T=T(kn1,kn2)T=T(kn_{1},kn_{2}), where

(10) T(kn1,kn2)=1kn11kn2n1tanh(kn2)n2tanh(kn1)n1tanh(kn1)n2tanh(kn2),T(kn_{1},kn_{2})=\frac{1}{kn_{1}}\frac{1}{kn_{2}}\frac{n_{1}\tanh(kn_{2})-n_{2}\tanh(kn_{1})}{n_{1}\tanh(kn_{1})-n_{2}\tanh(kn_{2})},

and ker(cww(k|z|;T)c)=span{cos(n1z),cos(n2z)}\ker(c_{\text{ww}}(k|\partial_{z}|;T)-c)=\text{span}\{\cos(n_{1}z),\cos(n_{2}z)\}, where c=cww(kn1;T)=cww(kn2;T)c=c_{\text{ww}}(kn_{1};T)=c_{\text{ww}}(kn_{2};T); otherwise, ker(cww(k|z|;T)cww(kn;T))=span{cos(nz)}\ker(c_{\text{ww}}(k|\partial_{z}|;T)-c_{\text{ww}}(kn;T))=\text{span}\{\cos(nz)\}.

Suppose that T0T\geqslant 0, k>0k>0, and TT(kn,kn)T\neq T(kn,kn^{\prime}) for any n,nn,n^{\prime}\in\mathbb{N} and nnn\neq n^{\prime}, particularly, either T=0T=0 or T1/3T\geqslant 1/3. We assume without loss of generality n=1n=1. There exists a one-parameter curve of nontrivial, 2π2\pi periodic and even solutions of (8) and (9), denoted by

(11) (ϕ(z;s),c(s)),|s|1,(\phi(z;s),c(s)),\quad|s|\ll 1,

in some function space (see [9, 8], for instance, for details), and

(12) ϕ(z;s)=scos(z)+s22(1cww(k;T)cww(0;T)1cww(k;T)cww(2k;T)cos(2z))+s321(cww(k;T)cww(2k;T))(cww(k;T)cww(3k;T))cos(3z)+O(s4),\displaystyle\begin{aligned} \phi(z;s)=s\cos(z)&+\frac{s^{2}}{2}\left(\frac{1}{c_{\text{ww}}(k;T)-c_{\text{ww}}(0;T)}-\frac{1}{c_{\text{ww}}(k;T)-c_{\text{ww}}(2k;T)}\cos(2z)\right)\\ &+\frac{s^{3}}{2}\frac{1}{(c_{\text{ww}}(k;T)-c_{\text{ww}}(2k;T))(c_{\text{ww}}(k;T)-c_{\text{ww}}(3k;T))}\cos(3z)+O(s^{4}),\end{aligned}
c(s)=cww(k;T)+s2(1cww(k;T)cww(0;T)121cww(k;T)cww(2k;T))+O(s4)\displaystyle c(s)=c_{\text{ww}}(k;T)+s^{2}\left(\frac{1}{c_{\text{ww}}(k;T)-c_{\text{ww}}(0;T)}-\frac{1}{2}\frac{1}{c_{\text{ww}}(k;T)-c_{\text{ww}}(2k;T)}\right)+O(s^{4})

as |s|0|s|\to 0. Moreover, subject to a ‘bifurcation condition’ (see [9, 8], for instance, for details), (11) extends to all s[0,)s\in[0,\infty). See [9, 8] and references therein for a rigorous proof.

When T=0T=0 and, without loss of generality, k=1k=1, (ϕ(z;sj),c(sj))(ϕ(z),c)(\phi(z;s_{j}),c(s_{j}))\to(\phi(z),c) as jj\to\infty for some sjs_{j}\to\infty as jj\to\infty for some ϕC1/2([π,π])C([π,0)(0,π])\phi\in C^{1/2}([-\pi,\pi])\bigcap C^{\infty}([-\pi,0)\bigcup(0,\pi]) and 0<c<0<c<\infty such that

(13) ϕ(0)=c2.\phi(0)=\frac{c}{2}.

See [9] and references therein for a rigorous proof. Indeed, such a limiting solution enjoys ϕ(z)c2π8|z|1/2\phi(z)\sim\frac{c}{2}-\sqrt{\frac{\pi}{8}}|z|^{1/2} as |z|0|z|\to 0.

When T4/π2T\geqslant 4/\pi^{2}, so that the Fourier transform of cww(k|z|;T)1c_{\text{ww}}(k|\partial_{z}|;T)^{-1} is ‘completely monotone’ [8], and k=1k=1, on the other hand,

  1. (ϕ(;s),c(s))\|(\phi(\cdot;s),c(s))\|\to\infty as ss\to\infty in some††††a Hölder-Zygmund space, for instance [8] function space; or

  2. (ϕ(z;s),c(s))(\phi(z;s),c(s)) is periodic in the ss variable.

See [8], for instance, for a rigorous proof. Our numerical findings suggest minz[π,π]ϕ(z;s)\min_{z\in[-\pi,\pi]}\phi(z;s)\to-\infty as ss\to\infty. But such a limiting scenario would be physically unrealistic, for the capillary-gravity Whitham equation models water waves in the finite depth. We say that a 2π2\pi periodic solution of (8) and (9) is admissible if

ϕ(z)12πππϕ(z)𝑑z>1for all z[π,π],\phi(z)-\frac{1}{2\pi}\int^{\pi}_{-\pi}\phi(z)~{}dz>-1\quad\text{for all $z\in[-\pi,\pi]$},

so that the fluid surface would not intersect the impermeable bed, and we stop numerical continuation once we reach a limiting admissible solution, for which

(14) minz[π,π]ϕ(z)12πππϕ(z)𝑑z=1.\min_{z\in[-\pi,\pi]}\phi(z)-\frac{1}{2\pi}\int^{\pi}_{-\pi}\phi(z)~{}dz=-1.

Section 4 provides examples.

Suppose, to the contrary, that T=T(kn1,kn2)T=T(kn_{1},kn_{2}) (see (10)) for some k>0k>0 for some n1,n2n_{1},n_{2}\in\mathbb{N} and n1<n2n_{1}<n_{2}, so that cww(kn1;T)=cww(kn2;T)=:cc_{\text{ww}}(kn_{1};T)=c_{\text{ww}}(kn_{2};T)=:c. Suppose that n1n_{1} does not divide n2n_{2}. There exists a two-parameter sheet of nontrivial, periodic and even solutions of (8) and (9), and

(15) ϕ(z;s1,s2)=s1cos(n1z)+s2cos(n2z)+O((|s1|+|s2|)2),\displaystyle\phi(z;s_{1},s_{2})=s_{1}\cos(n_{1}z)+s_{2}\cos(n_{2}z)+O((|s_{1}|+|s_{2}|)^{2}),
c(s1,s2)=c+O((|s1|+|s2|)2),\displaystyle c(s_{1},s_{2})=c+O((|s_{1}|+|s_{2}|)^{2}),
k(s1,s2)=k+O((|s1|+|s2|)2)\displaystyle k(s_{1},s_{2})=k+O((|s_{1}|+|s_{2}|)^{2})

for |s1|,|s2|1|s_{1}|,|s_{2}|\ll 1. We emphasize that kk is a bifurcation parameter. Otherwise, n1n_{1} divides n2n_{2}, and (15) holds for |s1|,|s2|1|s_{1}|,|s_{2}|\ll 1 and s2>s0>0s_{2}>s_{0}>0 for some s0s_{0}. In other words, there cannot exist 2π/n12\pi/n_{1} periodic and ‘unimodal’ waves, whose profile monotonically decreases from its single crest to the trough over the period. See [8], for instance, for a rigorous proof. The global continuation of (15) and limiting configurations have not been well understood analytically, though, and here we address numerically.

Turning the attention to the (nonlinear) orbital stability and instability of a periodic traveling wave of (7), notice that (7) possesses three conservation laws:

(16) E(u)=\displaystyle E(u)= (12ucww(|x|;T)u+13u3)𝑑x(energy),\displaystyle\int\left(\frac{1}{2}uc_{\text{ww}}(|\partial_{x}|;T)u+\frac{1}{3}u^{3}\right)~{}dx\qquad\text{(energy)},
P(u)=\displaystyle P(u)= 12u2𝑑x(momentum),\displaystyle\int\frac{1}{2}u^{2}~{}dx\qquad\text{(momentum)},
M(u)=\displaystyle M(u)= u𝑑x(mass),\displaystyle\int u~{}dx\qquad\text{(mass)},

and so does the KdV equation with fractional dispersion:

(17) ut+|x|αux+(u2)x=0,0<α2,where|x|αf^(k)=|k|αf^(k),u_{t}+|\partial_{x}|^{\alpha}u_{x}+(u^{2})_{x}=0,\quad 0<\alpha\leqslant 2,\quad\text{where}\quad\widehat{|\partial_{x}|^{\alpha}f}(k)=|k|^{\alpha}\widehat{f}(k),

for which E(u)=(12u|x|αu+13u3)𝑑xE(u)=\int(\frac{1}{2}u|\partial_{x}|^{\alpha}u+\frac{1}{3}u^{3})~{}dx rather than the first equation of (16). We pause to remark that (7) becomes (17), α=1/2\alpha=1/2, for high frequency (see (6)), and (3) and (5) compare with α=2\alpha=2. A solitary wave of (17) is a constrained energy minimizer and orbitally stable, provided that α>1/2\alpha>1/2, if and only if Pc>0P_{c}>0. See [24] and references therein for a rigorous proof. See also [17] for an analogous result for periodic traveling waves. It seems not unreasonable to expect that the orbital stability and instability of a periodic traveling wave of (7) change likewise at a critical point of PP as a function of cc although, to the best of the authors’ knowledge, there is no rigorous analysis of constrained energy minimization. Indeed, numerical evidence [20] supports the conjecture when T=0T=0 and k=1k=1. Here we take matters further to T0T\geqslant 0 and k1,k\geqslant 1,\in\mathbb{N}. Also we numerically elucidate the instability scenario when T=0T=0 and k=1k=1.

3. Methodology

We begin by numerically approximating 2π2\pi periodic and even solutions of (8) and (9) by means of a spectral collocation method [2, 10]. See [20], among others, for nonlinear dispersive equations of the form (7) and (17). We define the collocation projection as a discrete cosine transform as

(18) ϕN(z)=n=0N1ω(n)ϕ^(n)cos(nz),\phi_{N}(z)=\sum_{n=0}^{N-1}\omega(n)\widehat{\phi}(n)\cos(nz),

where the discrete cosine coefficients are

(19) ϕ^(n)=ω(n)m=1NϕN(zm)cos(nzm)\widehat{\phi}(n)=\omega(n)\sum_{m=1}^{N}\phi_{N}(z_{m})\cos(nz_{m})

and

ω(n)={1/Nfor n=0,2/Notherwise;\omega(n)=\begin{cases}\sqrt{1/N}&\text{for $n=0$},\\ \sqrt{2/N}&\text{otherwise};\end{cases}

the collocation points are

zm=π2m12N,m=1,2,,N.z_{m}=\pi\frac{2m-1}{2N},\quad m=1,2,\dots,N.

Therefore

ϕ(z)ϕN(z)=m=1Nn=0N1ω2(n)cos(nzm)cos(nz)ϕ(zm).\phi(z)\approx\phi_{N}(z)=\sum_{m=1}^{N}\sum_{n=0}^{N-1}\omega^{2}(n)\cos(nz_{m})\cos(nz)\phi(z_{m}).

We can compute (18) and (19) efficiently using a fast Fourier transform (FFT) [10]. For T0T\geqslant 0 and k>0k>0, likewise,

cww(k|z|;T)ϕ(z)(cww(k|z|;T)ϕ)N(z):==1Nn=0N1ω2(n)cww(kn;T)cos(nz)cos(nz)ϕN(z),\displaystyle c_{\text{ww}}(k|\partial_{z}|;T)\phi(z)\approx(c_{\text{ww}}(k|\partial_{z}|;T)\phi)_{N}(z):=\sum_{\ell=1}^{N}\sum_{n=0}^{N-1}\omega^{2}(n)c_{\text{ww}}(kn;T)\cos(nz)\cos(nz_{\ell})\phi_{N}(z_{\ell}),

and we can compute (cww(k|z|;T)ϕ)N(zm)(c_{\text{ww}}(k|\partial_{z}|;T)\phi)_{N}(z_{m}), m=1,2,,Nm=1,2,\dots,N, via an FFT.

Suppose that T0T\geqslant 0 and k>0k>0 are fixed and we take N=1024N=1024. We numerically solve

(20) cϕN(zm)+(cww(k|z|;T)ϕ)N(zm)+ϕN(zm)2=0,m=1,2,,N,-c\phi_{N}(z_{m})+(c_{\text{ww}}(k|\partial_{z}|;T)\phi)_{N}(z_{m})+\phi_{N}(z_{m})^{2}=0,\quad m=1,2,\dots,N,

by means of Newton’s method. We parametrically continue the numerical solution over cc by means of a pseudo-arclength continuation method [7] (see [20], among others, for nonlinear dispersive equations of the form (7) and (17)), for which the (pseudo-)arclength of a solution branch is the continuation parameter, whereas a parameter continuation method would use cc as the continuation parameter and vary it sequentially. The pseudo-arclength continuation method can successfully bypass a turning point of cc, at which a parameter continuation method fails because the Jacobian of (20) becomes singular, whence Newton’s method diverges. See [27] for more discussion.

We say that Newton’s method converges if the residual

m=1N(cϕN(zm)+(cww(k|z|;T)ϕ)N(zm)+ϕN(zm)2)21010\sqrt{\sum_{m=1}^{N}\big{(}-c\phi_{N}(z_{m})+(c_{\text{ww}}(k|\partial_{z}|;T)\phi)_{N}(z_{m})+\phi_{N}(z_{m})^{2}\big{)}^{2}}\leqslant 10^{-10}

(see (20)), and this is achieved provided that an initial guess is sufficiently close to a true solution of (8) and (9). To this end, we take a small amplitude cosine function and ccww(k;T)c\approx c_{\text{ww}}(k;T) as an initial guess for the local bifurcation at ϕ=0\phi=0 and c=cww(k;T)c=c_{\text{ww}}(k;T), or (12) so long as it makes sense. We have also solved (20) using a (Jacobian-free) Newton–Krylov method [23] with absolute and relative tolerance of 101010^{-10}. The results correctly match those obtained from Newton’s method, corroborating our numerical scheme.

We have run a pseudo-arclength continuation code (see [29], for instance, for the applicability of the code used herein) with a fixed arclength stepsize, to numerically locate and trace solution branches. We have additionally run AUTO [6], a robust numerical continuation and bifurcation software, to corroborate the results. All the results in Section 4 have been obtained by employing AUTO with strict tolerances (EPSL = 1e-12 and EPSU=1e-12 in the AUTO’s constants file). AUTO has the advantage, among many others, of making variable arclength stepsize adaptation (using the option IADS=1) and of detecting branch points (using the option ISP=2 for all special points). For the former, provided with minimum and maximum allowed absolute values of the pseudo-arclength stepsize, AUTO adjusts the arclength stepsize to be used during the continuation process.

Let ϕ\phi and cc numerically approximate a 2π/k2\pi/k periodic traveling wave of (7), and we turn to numerically experimenting with its (nonlinear) orbital stability and instability. After a 20482048-point (full) Fourier spectral discretization in x[π,π]x\in[-\pi,\pi], (7) leads to

(21) ut=𝐋u+𝐍(u),where𝐋=cww(|x|;T)xand𝐍(u)=(u2)x,u_{t}=\mathbf{L}u+\mathbf{N}(u),\quad\text{where}\quad\mathbf{L}=-c_{\text{ww}}(|\partial_{x}|;T)\partial_{x}\quad\text{and}\quad\mathbf{N}(u)=-(u^{2})_{x},

and we numerically solve (21), subject to

(22) u(x,0)=ϕ(kx)+103maxx[π,π]|ϕ(kx)|U(1,1),u(x,0)=\phi(kx)+10^{-3}\max_{x\in[-\pi,\pi]}|\phi(kx)|\,U(-1,1),

by means of an integrating factor (IF) method (see [22], for instance, and references therein), where U(1,1)U(-1,1) is a uniform random distribution. In other words, at the initial time, we perturb ϕ\phi by uniformly distributed random noise of small amplitude, depending on the amplitude‡‡‡‡We treat ϕL\|\phi\|_{L^{\infty}} as the amplitude of ϕ\phi although ϕ\phi is not of mean zero, because the difference is insignificant. of ϕ\phi. We pause to remark that the well-posedness for the Cauchy problem of (7) can be rigorously established at least for short time in the usual manner via a compactness argument.

Following the IF method, let v=e𝐋tuv=e^{-\mathbf{L}t}u, so that (21) becomes

(23) vt=e𝐋t𝐍(e𝐋tv).v_{t}=e^{-\mathbf{L}t}\mathbf{N}(e^{\mathbf{L}t}v).

This ameliorates the stiffness of (21). Notice that (23) is of diagonal form, rather than matrix, in the Fourier space. We advance (23) forward in time by means of a fourth-order four-stage Runge–Kutta (RK4) method [11] with a fixed time stepsize Δt\Delta t:

vn+1=vn+a+2b+2c+d6,v_{n+1}=v_{n}+\frac{a+2b+2c+d}{6},

where vn=v(tn)v_{n}=v(t_{n}) and tn=nΔtt_{n}=n\Delta t, n=0,1,2,n=0,1,2,\dots,

a\displaystyle a =f(vn,tn)Δt,\displaystyle=f(v_{n},t_{n})\Delta t, b\displaystyle b =f(vn+a/2,tn+Δt/2)Δt,\displaystyle=f(v_{n}+a/2,t_{n}+\Delta t/2)\Delta t,
c\displaystyle c =f(vn+b/2,tn+Δt/2)Δt,\displaystyle=f(v_{n}+b/2,t_{n}+\Delta t/2)\Delta t, d\displaystyle d =f(vn+c,tn+Δt)Δt\displaystyle=f(v_{n}+c,t_{n}+\Delta t)\Delta t

and f(v,t)=e𝐋t𝐍(e𝐋tv)f(v,t)=e^{-\mathbf{L}t}\mathbf{N}(e^{\mathbf{L}t}v) (see (23)). We take Δt=104×2π/c\Delta t=10^{-4}\times 2\pi/c, where cc is the wave speed of ϕ\phi. While such value of Δt\Delta t ensures numerical stability, some computations, depending on cc, require smaller§§§§§§In most cases, 104×2π/c=O(104)10^{-4}\times 2\pi/c=O(10^{-4}) but in Figure 7(b), for instance, c=0.36c=0.36, whence 104×2π/c0.0017453310^{-4}\times 2\pi/c\approx 0.00174533, whereas 105×2π/c=O(104)10^{-5}\times 2\pi/c=O(10^{-4}). values, for instance, Δt=104×π/c\Delta t=10^{-4}\times\pi/c or 105×2π/c10^{-5}\times 2\pi/c. At each time step, we remove aliasing errors by applying the so-called 3/23/2-rule so that the Fourier coefficients well decay for high frequencies (see [2], for instance).

We assess the fidelity of our numerical scheme by monitoring (16) for numerical solutions. For unperturbed solutions, E(t)E(t), P(t),M(t)P(t),M(t) have all been conserved to machine precision, whereas for (randomly) perturbed ones, E(t)E(t) and P(t)P(t) to the order of 10710^{-7} and M(t)M(t) to machine precision. We have also corroborated our numerical results using two other methods: a higher-order Runge–Kutta method, such as the Runge–Kutta–Fehlberg (RKF) method [11] with time stepsize adaptation and a two-stage (and, thus, fourth-order) Gauss–Legendre implicit¶¶¶¶An implicit method, by construction, enjoys wider regions of absolute stability. This allows us to assess all our results, while avoiding numerical instability that might be observed in explicit methods such as RK4 and RKF methods. However, the IRK4 method requires a fixed point iteration (in the form of Newton’s method) at each time step. Runge–Kutta (IRK4) method [12]. For stable solutions, the results obtained from the RK4 method correctly match those from the RKF and IRK4 methods. However, and for unstable solutions, the instability manifests at slightly different times for the same initial conditions. This is somewhat expected because the local truncation error (LTE) of each method and the convergence error of the IRK4 method act as perturbations. Recall that the RK4 and IRK4 methods have an LTE of the order of (Δt)4(\Delta t)^{4} whereas the RKF method has (Δt)6(\Delta t)^{6}.

4. Results

We begin by taking T=0T=0 and k=1k=1. Figure 1 shows the wave height

(24) H=maxz[π,π]ϕ(z)minz[π,π]ϕ(z)H=\max_{z\in[-\pi,\pi]}\phi(z)-\min_{z\in[-\pi,\pi]}\phi(z)

and the momentum

(25) P=12ππϕ(z)2𝑑zP=\frac{1}{2}\int^{\pi}_{-\pi}\phi(z)^{2}~{}dz

from our numerical continuation of 2π2\pi periodic and even solutions of (8) and (9). The result agrees, qualitatively, with [20, Figure 4] and others. We find that HH monotonically increases to 0.58156621\approx 0.58156621, highlighted with the red square, for which (13) holds, whereas PP increases and then decreases, making one turning point. Also we find that the crest becomes sharper and the trough flatter as HH increases. The limiting solution must possess a cusp at the crest [9].

The left column of Figure 2 shows almost limiting waves. The inset is a close-up near the crest, emphasizing smoothness. The right column shows the profiles of (22), namely periodic traveling waves of (7) perturbed by uniformly distributed random noise of small amplitudes at t=0t=0 (dash-dotted), and of the solutions of (7) at later instants of time (solid). Wave (a), prior to the turning point of PP, remains unchanged for 10310^{3} time periods, after translation of the xx axis, implying orbital stability, whereas the inset reveals that wave (b), past the turning point, suffers from crest instability. Indeed, our numerical experiments point to transition from stability to instability at the turning point of PP. But there is numerical evidence [28] that waves (a) and (b) are (spectrally) modulationally unstable.

When T=4/π2T=4/\pi^{2} and k=1k=1, Figure 3 shows HH and PP versus cc. Our numerical findings suggest that H,PH,P\to\infty monotonically. Also minz[π,π]ϕ(z)\min_{z\in[-\pi,\pi]}\phi(z)\to-\infty. The solution branch discontinues once (14) holds, highlighted with the red square, though, because the solution would be physically unrealistic, for the capillary-gravity Whitham equation models water waves in the finite depth. Our numerical continuation works well past the limiting admissible solution, nevertheless. We find that the crest becomes wider and flatter, the trough narrower and more peaked, as HH increases. But all solutions must be smooth [8].

The left panel of Figure 4 shows an example wave. The right panel shows the profiles perturbed by small random noise at t=0t=0 and of the solution of (7) after 10310^{3} time periods, after translation of the xx axis. Our numerical experiments suggest orbital stability for all wave height. But there is numerical evidence of modulational instability when HH is large [3].

Numerical evidence [27, 3] points to qualitatively the same results whenever T1/3T\geqslant 1/3.

We turn the attention to T=T(1,2)0.2396825T=T(1,2)\approx 0.2396825 (see (10)). There exists a two-parameter sheet of nontrivial, periodic and even solutions of (8) and (9) in the vicinity of ϕ=0\phi=0 and c=cww(1,T)=cww(2,T)0.97166609c=c_{\text{ww}}(1,T)=c_{\text{ww}}(2,T)\approx 0.97166609 [8]. See also Section 2. Figure 5 shows HH versus cc for the k=1k=1 and k=2k=2 branches, all the way up to the limiting admissible solutions. There are no∥∥∥∥We observe a turning point of PP for greater wave height, but the solution is inadmissible. turning points of PP. The left column of Figure 6 shows waves in the k=1k=1 and k=2k=2 branches for small and large HH. The small height result agrees with [27, Figure 6].

Observe ‘bimodal’ waves in the k=1k=1 branch. Indeed, there cannot exist 2π2\pi periodic and unimodal waves, whose profile monotonically decreases from a single crest to the trough over the period [8]. See also Section 2. For small wave height, the fundamental mode seems dominant, so that there is one crest over the period =2π=2\pi, but the fundamental and second modes are resonant, whereby a much smaller wave breaks up the trough into two. See the left panel of Figure 6(a). As HH increases, the effects of the second mode seem more pronounced, so that the wave separating the troughs becomes higher. See the left of Figure 6(b). Observe, to the contrary, π\pi periodic and unimodal waves in the k=2k=2 branch. See the left of Figure 6(c,d). We find that the crests become wider and flatter, the troughs narrower and more peaked, as HH increases in the k=1k=1 and k=2k=2 branches. See the left of Figure 6(b,d).

Our numerical experiments suggest orbital stability for the k=1k=1 branch (see the right panels of Figure 6(a,b)) versus instability for k=2k=2 (see the right of Figure 6(c,d)).

We take matters further to T=T(1,3)T=T(1,3). See Figures 7, 8 and 9. The results for the k=1k=1 and k=3k=3 branches are similar to those when T=T(1,2)T=T(1,2) and k=1,2k=1,2. We pause to remark that in the k=1k=1 branch, for small HH, a smaller wave breaks up the trough into two, and a much smaller wave breaks up the crest into two. See the left panel of Figure 8(a). As HH increases, the wave separating the crests becomes lower, transforming into one wide and flat crest, whereas the wave separating the troughs become higher (see the left of Figure 8(b)), whereby resembling those when T=T(1,2)T=T(1,2) and k=1k=1. Observe π\pi periodic and unimodal waves in the k=2k=2 branch, orbitally stable for small HH versus unstable for large HH. See Figure 9(e,f).

When T=T(2,3)T=T(2,3), to the contrary, we find π\pi and 2π/32\pi/3 periodic unimodal waves in the k=2k=2 and k=3k=3 branches, respectively, corroborating a local bifurcation theorem (see [8], for instance). See also Section 2. We find that the crests become wider and flatter, the troughs narrower and more peaked, as HH increases. See the left column of Figure 11. Our numerical experiments (see the right of Figure 11) suggest orbital instability for the k=2k=2 branch for large HH and for k=3k=3 for all HH.

When T=T(2,5)T=T(2,5), on the other hand, the left column of Figure 13 shows bimodal waves in the k=2k=2 branch. The local bifurcation theorem [8] dictates π\pi periodic and unimodal waves, but we numerically find that they are not in the k=2k=2 branch. For small HH, for wave (a), for instance, a smaller wave breaks up the trough into two over the half period. As HH increases, for wave (b), for instance, the troughs become narrower and more peaked. Our numerical experiments (see the right of Figures 13 and 14) suggest orbital stability for the k=2k=2 branch for small HH versus instability for k=2k=2 for large HH and for k=5k=5 for all HH.

To proceed, when T=T(1,4)T=T(1,4), the k=1k=1 branch lies above and to the right of the k=4k=4 branch at least for small HH (not shown), but as TT increases, cww(4;T)c_{\text{ww}}(4;T) increases more rapidly than cww(1;T)c_{\text{ww}}(1;T), so that when T=T(1,4)+0.001T=T(1,4)+0.001, for instance, the k=1k=1 branch crosses the k=4k=4 branch. Figure 15 shows HH and PP versus cc in the k=1k=1 and k=4k=4 branches for all admissible solutions. The small height result agrees with [27, Figure 10(a)]. We find that in the k=1k=1 branch, HH and PP turn to connect the k=4k=4 branch, whereas in the k=4k=4 branch, HH and PP monotonically increase to the limiting admissible solution, highlighted by the red square in the insets.

The left panels of Figures 16, 17 and 18 show several profiles along the k=1k=1 and k=4k=4 branches. In the k=1k=1 branch, for small HH, wave (a), for instance, is 2π2\pi periodic and unimodal. After the k=1k=1 branch crosses the k=4k=4 branch, on the other hand, wave (b), for instance, becomes bimodal, resembling those when T=T(1,4)T=T(1,4) and k=1k=1. Continuing along the k=1k=1 branch, for waves (c) and (d), for instance, high frequency ripples of k=4k=4 ride a carrier wave of k=1k=1. When the k=1k=1 and k=4k=4 branches almost connect, wave (e) in the k=1k=1 branch and wave (f) for k=4k=4 are almost the same. In the k=4k=4 branch, wave (g), for instance, is π/2\pi/2 periodic and unimodal.

Our numerical experiments (see the right panels of Figures 16, 17 and 18) suggest orbital stability for the k=1k=1 branch for all HH and for k=4k=4 for small HH, versus instability for k=4k=4 for large HH. Particularly, stability and instability do not change at the turning point of PP.

Last but not least, when T=T(1,5)+0.0001T=T(1,5)+0.0001, Figure 19 shows HH and PP versus cc for the k=1k=1 and k=5k=5 branches. The small height result agrees with [27, Figure 10(b)]. We find that the k=1k=1 branch crosses and connects the k=5k=5 branch, like when T=T(1,4)+0.0001T=T(1,4)+0.0001 and k=1,4k=1,4, but it continues after connecting all the wave up to the limiting admissible solution. See the insets. The left panels of Figures 20, 21 and 22 show several profiles along the k=1k=1 and k=5k=5 branches. The results for the k=1k=1 branch up to connecting and for k=5k=5 are similar to those when T=T(1,4)+0.0001T=T(1,4)+0.0001 and k=1,4k=1,4. In the k=1k=1 branch, after it connects the k=4k=4 branch at the point (c), the results are similar to those when T=T(1,5)T=T(1,5) and k=1k=1. See waves (d), (e) and (f). Our numerical experiments (see the right panels of Figures 20, 21 and 22) suggest orbital stability for the k=1k=1 branch for all HH and for k=5k=5 for small HH, versus instability for k=5k=5 for large HH.

We emphasize orbital stability for the k=1k=1 branch for all T>0T>0 for all wave height throughout our numerical experiments.

5. Discussion

Here we employ efficient and highly accurate numerical methods for computing periodic traveling waves of (7) and experimenting with their (nonlinear) orbital stability and instability. Our findings suggest, among many others, stability whenever T>0T>0 for the k=1k=1 branch versus instability when 0<T<1/30<T<1/3 for k2,k\geqslant 2,\in\mathbb{N} branches at least for large wave height. Currently under investigation is to take matters further to all T0T\geqslant 0 to all kk, to classify the orbital stability and instability of all periodic traveling waves. It will be interesting to devise other numerical continuation methods, for instance, deflated continuation techniques [1, 4], for detecting disconnected solution branches and others. Also interesting will be to numerically investigate (spectral) modulational stability and instability of orbitally stable waves. Our methodology will be useful for exploring the nonlinear dynamics of modulationally unstable waves. Also it can help tackle the capillary-gravity wave problem and other nonlinear dispersive equations. Of course, it is of great importance to rigorously prove the numerical results.

Acknowledgement

The authors are grateful to Henrik Kalisch for helpful discussions. EGC acknowledges the hospitality of the Department of Mathematics at the University of Illinois at Urbana-Champaign where early stages of this work took place.

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Figure 1. T=0T=0, k=1k=1. Wave height (left, see (24)) and momentum (right, see (25)) vs. wave speed. The red square corresponds to the limiting solution (see (13)), for which c0.76842127c\approx 0.76842127. See Figure 2 for the profiles at the points labelled with (a) and (b) in the inset of the right panel.
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Figure 2. T=0T=0, k=1k=1. Left column: almost limiting waves at the points labelled with (a) and (b) in the inset of the right panel of Figure 1, prior to (a) and past (b) the turning point of PP, for which c=0.767c=0.767. Right column: profiles perturbed by uniform random distributions of amplitudes 103×ϕL10^{-3}\times\|\phi\|_{L^{\infty}} at t=0t=0 (dash-dotted), and of the solutions of (7) at later instants of time (solid, see the legends), after translation of the xx axis (a). The insets in the bottom panels are close-ups near the crests.
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Figure 3. T=4/π2T=4/\pi^{2}, k=1k=1. HH (left) and PP (right) vs. cc. The red square corresponds to the limiting admissible solution (see (14)), for which c1.6047287696c\approx 1.6047287696. See Figure 4 for the profile at the point labelled with (a).
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Figure 4. T=4/π2T=4/\pi^{2}, k=1k=1. On the left, the profile at the point labelled with (a) in Figure 3, for which c=1.5c=1.5, and on the right, the profiles perturbed by uniformly distributed random noise of amplitude 103×ϕL10^{-3}\times\|\phi\|_{L^{\infty}} at t=0t=0 (dash-dotted) and of the solution of (7) at t=103×2π/ct=10^{3}\times 2\pi/c (solid), after translation of the xx axis.
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Figure 5. T=T(1.2)T=T(1.2) (see (10)). HH vs. cc for k=1k=1 (blue) and k=2k=2 (orange). The red squares correspond to the limiting admissible solutions for the k=1k=1 and k=2k=2 branches, for which c0.3429722287c\approx 0.3429722287 and c0.33120532402c\approx 0.33120532402, respectively. Insets are closeups near the beginning and end of numerical continuations. See Figure 6 for the profiles at the points labelled with (a) through (d) in the insets.
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Figure 6. T=T(1,2)T=T(1,2), k=1,2k=1,2. Left column: profiles at the points labelled with (a),(b) (k=1k=1) and (c),(d) (k=2k=2) in the insets of Figure 5, for which c=0.973c=0.973 (a), 0.970.97 (c), and 0.360.36 (b,d). Right column: profiles perturbed by small random noise at t=0t=0 (dash-dotted) and of the solutions at later instants of time (solid, see the legends), after translation of the xx axis (a,b). Notice different vertical scales.
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Figure 7. T=T(1,3)T=T(1,3). HH vs. cc for k=1k=1 (blue), k=3k=3 (yellow), and k=2k=2 (orange). The red squares correspond to the limiting admissible solutions, for which c0.3310243764c\approx 0.3310243764 (k=1k=1), c0.2994866669c\approx 0.2994866669 (k=3k=3), and c0.3117165220c\approx 0.3117165220 (k=2k=2). See Figures 8 and 9 for the profiles at the points labelled with (a)-(f) in the insets.
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Figure 8. T=T(1,3), k=1k=1. Left column: profiles at the points labelled with (a) and (b) in the insets of Figure 7, for which c=0.92c=0.92 and 0.350.35. Right column: profiles perturbed by small random noise at t=0t=0 (dash-dotted) and of the solutions after 10310^{3} periods (solid), after translation of the xx axis (a).
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Figure 9. T=T(1,3)T=T(1,3). Similar to Figure 8 but k=3k=3 (c,d) and k=2k=2 (e,f), c=0.92c=0.92 (c,e) and 0.350.35 (d,f). On the right, solid curves are the solution profiles at later times (see the legends), after translation of the xx axis (e).
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Figure 10. T=T(2,3)T=T(2,3). HH vs. cc for k=2k=2 (blue) and k=3k=3 (orange). The red squares correspond to the limiting admissible solutions, for which c0.27804634505c\approx 0.27804634505 (k=2k=2) and c0.26958276662c\approx 0.26958276662 (k=3k=3). See Figure 11 for the profiles at the points labelled with (a) and (b) in the inset.
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Figure 11. T=T(2,3)T=T(2,3). Left column: profiles at the points labelled with (a) (k=2k=2) and (b) (k=3k=3) in Figure 10, for which c=0.3c=0.3. Right column: profiles perturbed by small random noise at t=0t=0 (dash-dotted) and of the solutions at later times (solid, see the legends).
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Figure 12. T=T(2,5)T=T(2,5). HH vs. cc for k=2k=2 (blue) and k=5k=5 (inset, orange). The red squares correspond to the limiting admissible solutions, for which c0.24281537129c\approx 0.24281537129 (k=2k=2) and c0.22417409072c\approx 0.22417409072 (k=5k=5). See Figures 13 and 14 for the profiles at the points labelled with (a)-(d).
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Figure 13. T=T(2,5)T=T(2,5), k=2k=2. Left column: profiles at the points labelled with (a) and (b) in Figure 12, for which c=0.813c=0.813 (a) and 0.40.4 (b). Right column: profiles perturbed by small random noise at t=0t=0 (dash-dotted) and of the solutions at later times (solid), after translation of the xx axis (a).
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Figure 14. T=T(2,5)T=T(2,5). Similar to Figure 13 but k=5k=5, c=0.805c=0.805 (c) and 0.40.4 (d).
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Figure 15. T=T(1,4)+0.0001T=T(1,4)+0.0001. HH (left) and PP (right) vs. cc for k=1k=1 (blue) and k=4k=4 (orange). The red square in the insets corresponds to the limiting admissible solution for k=4k=4, for which c0.2788888416c\approx 0.2788888416. See Figures 16, 17, 18 for the profiles at the points labelled with (a)-(g) in the right panel.
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Figure 16. T=T(1,4)+0.0001T=T(1,4)+0.0001, k=1k=1. Left column: profiles at the points labelled with (a)-(d) in the right panel of Figure 15, prior to (a) and past (b) crossing the k=4k=4 branch, and prior to (c) and past (d) the turning point of PP, for which c=0.9392c=0.9392 (a), 0.9390.939 (b), and 0.93880.9388 (c,d). Right column: profiles perturbed by small random noise at t=0t=0 (dash-dotted) and of the solutions after 10310^{3} periods (solid), after translation of the xx axis.
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Figure 17. T=T(1,4)+0.0001T=T(1,4)+0.0001, k=1k=1. Similar to Figure 16 but almost connecting the k=4k=4 branch, for which c0.93897389482c\approx 0.93897389482.
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Figure 18. T=T(1,4)+0.0001T=T(1,4)+0.0001. Similar to Figures 16 and 17, but k=4k=4, almost connecting the k=1k=1 branch (f) and almost the end of the numerical continuation (g), for which c0.93897389482c\approx 0.93897389482 (f) and c=0.4c=0.4 (g).
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Figure 19. T=T(1,5)+0.0001T=T(1,5)+0.0001. HH and PP vs. cc for k=1k=1 (blue) and k=5k=5 (orange). The red squares in the insets correspond to the limiting admissible solutions, for which c0.3109760939c\approx 0.3109760939 (k=1k=1) and c0.26500852187c\approx 0.26500852187 (k=5k=5). See Figures 20, 21, 22 for the profiles at the points labelled with (a) through (i).
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Figure 20. T=T(1,5)+0.0001T=T(1,5)+0.0001, k=1k=1. Left column: profiles at the points labelled with (a) and (b) in the right panel of Figure 19, prior to (a) and past (b) crossing the k=5k=5 branch, for which c=0.9287c=0.9287 (a) and 0.92830.9283 (b). Right column: profiles perturbed by small random noise at t=0t=0 (dash-dotted) and of the solutions after 10310^{3} periods (solid), after translation of the xx axis (a).
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Figure 21. T=T(1,5)+0.0001T=T(1,5)+0.0001, k=1k=1. Similar to Figure 20, almost connecting the k=5k=5 branch (c), prior to (d) and past (e) crossing the k=1k=1 branch itself, and almost the end of the numerical continuation (f), for which c=0.92817880141c=0.92817880141 (c), 0.92830.9283 (d), 0.928360.92836 (e), and 0.40.4 (f).
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Figure 22. T=T(1,5)+0.0001T=T(1,5)+0.0001, k=5k=5. Left column: profiles at the points labelled with (g)-(i) in the right panel of Figure 20, almost crossing the k=1k=1 branch (g), almost connecting the k=1k=1 branch (h), and almost the end of the numerical continuation (i), for which c=0.9285878c=0.9285878 (g), 0.928178801410.92817880141 (h), and 0.40.4 (i). Right column: profiles perturbed by small random noise at t=0t=0 (dash-dotted) and of the solutions at lager times (solid).