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Dynamic soliton–mean flow interaction with non-convex flux

Published online by Cambridge University Press:  06 October 2021

Kiera van der Sande
Affiliation:
Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA
Gennady A. El
Affiliation:
Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Mark A. Hoefer*
Affiliation:
Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA
*
†Email address for correspondence: hoefer@colorado.edu

Abstract

The interaction of localised solitary waves with large-scale, time-varying dispersive mean flows subject to non-convex flux is studied in the framework of the modified Korteweg–de Vries (mKdV) equation, a canonical model for internal gravity wave propagation and potential vorticity fronts in stratified fluids. The effect of large amplitude, dynamically evolving mean flows on the propagation of localised waves – essentially ‘soliton steering’ by the mean flow – is considered. A recent theoretical and experimental study of this new type of dynamic soliton–mean flow interaction for convex flux has revealed two scenarios where the soliton either transmits through the varying mean flow or remains trapped inside it. In this paper, it is demonstrated that the presence of a non-convex cubic hydrodynamic flux introduces significant modifications to the scenarios for transmission and trapping. A reduced set of Whitham modulation equations is used to formulate a general mathematical framework for soliton–mean flow interaction with non-convex flux. Solitary wave trapping is stated in terms of crossing modulation characteristics. Non-convexity and positive dispersion – common for stratified fluids – imply the existence of localised, sharp transition fronts (kinks). Kinks play dual roles as a mean flow and a wave, imparting polarity reversal to solitons and dispersive mean flows, respectively. Numerical simulations of the mKdV equation agree with modulation theory predictions. The mathematical framework developed is general, not restricted to completely integrable equations like mKdV, enabling application beyond the mKdV setting to other fluid dynamic contexts subject to non-convex flux such as strongly nonlinear internal wave propagation that is prevalent in the ocean.

Information

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1.Representative initial configuration for soliton–mean flow interaction. The narrow soliton with amplitude $a_-$ on the uniform mean flow $\overline {u}_-$ transmits through the broad hydrodynamic flow if it reaches the uniform mean flow $\overline {u}_+$, surpassing all initial mean-generated oscillations. Otherwise, it experiences trapping inside the mean flow. The mean flow generally exhibits expansion and compression waves.

Figure 1

Figure 2.Sketch of the generalised GP problem.

Figure 2

Figure 3.Classification of the mKdV GP problem in terms of the initial values $u_\pm$ with representative numerical solutions, see Kamchatnov et al. (2012), El et al. (2017). Legend: (RW) rarefaction wave, (DSW$^{+/-}$) bright/dark dispersive shock wave, (K) kink, (CDSW$^{+/-}$) bright/dark contact DSW; (a) $\mu > 0$ and (b) $\mu < 0$.

Figure 3

Figure 4.Soliton–RW interaction with $\mu = 1$, $a_+ = 1.5$, $x_+ = 100$, $u_- = -1$, $u_+ =-1.5$. The soliton trajectory (light grey curve) is accurately predicted by soliton–mean theory (dashed curve). (a) Initial condition. (b) Space–time contour plot of solution with soliton characteristic (dashed). (c) Configuration at $t = 300$. The predicted amplitude $a_-$ and phase shift $\varDelta$ are 0.5 and 96.40, respectively. The numerical solution results in $a_- = 0.4981$ and $\varDelta = 95.02$ at $t = 300$.

Figure 4

Table 1.Results for the bright soliton tunnelling problem through RWs; $R\to L$ means that $x_0 = x_+$ and the soliton propagates from right ($R$) to left ($L$), otherwise $x_0 = x_-$ ($L \to R$).

Figure 5

Figure 5.Simple wave curves of constant $q(a,\bar {u})$ (solid) and curves of non-strict hyperbolicity (dashed) illustrating interaction with a RW with $u_- = -1$, $u_+ = -2$ and $\mu = -1$ for various initial amplitudes $a_-$. (a) Soliton amplitudes as a function of $\bar {u}$; (b) soliton speeds. When travelling from $u_-$ to $u_+$ with $a_-< a_{cr}$, the solid and dashed curves intersect, corresponding to loss of strict hyperbolicity.

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Table 2.Results for the bright soliton–DSW interaction problem.

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Table 3.Numerical tests of backward ($R \to L$) bright soliton–DSW interaction for $\mu = 1$ and $x_+ = 100$ in region V.

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Table 4.Numerical tests of forward ($L \to R$) bright soliton–DSW interaction, $\mu = -1$ and $x_- = 100$ in regions I and V.

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Figure 6.Soliton–DSW interaction with $\mu = 1$, $a_+ = 1$, $x_+ = 100$, $u_- = -1.5$ and $u_+ = -1$. (a) Initial condition. (b) Space–time contour plot of solution with soliton characteristic (dashed). (c) Configuration at $t = 100$. The predicted $a_-$ is 2 and the predicted $\varDelta$ is $-38.76$. At $t=100$, the numerical solution gives $a_- = 1.9960$ and $\varDelta = -38.33$.

Figure 10

Figure 7.Solition amplitudes (a) and corresponding local velocities (b) of a soliton interacting with a DSW$^{+}$ for $u_- = -1.5$, $u_+ = -1$ and $\mu = 1$. When traversing curves from $u_+$ to $u_-$ with $a_+ < a_{cr} =$, the curves intersect the characteristics corresponding to loss of strict hyperbolicity. In this case, these amplitudes decay to zero.

Figure 11

Figure 8.Relative error in the predicted transmitted soliton amplitude $a(u_-)$ and soliton phase shift $\bar {\varDelta }$ for soliton–DSW$^{+}$ interaction using the mean flow description from right to left. Parameter values are $\mu = 1$, $x_0 = x_+ = 100$, $u_- = -1.5$ and $u_+ = -1$.

Figure 12

Figure 9.Soliton interaction with a DSW$^{-}$ with $u_- = -1.5$, $u_+ = -1$ and $\mu = -1$ for various amplitudes. When initialised on the right at $u_+$ with $a_+< a_{cr}$, the wave curves do not reach $u_-$ so the soliton is trapped. (a) Soliton amplitudes and (b) soliton velocities.

Figure 13

Figure 10.Relative error in the predicted transmitted soliton amplitude $a(u_+)$ and soliton phase shift $\bar {\varDelta }$ for soliton–DSW$^{+}$ interaction using the mean flow description from left to right. Parameter values are $\mu = -1$, $x_0 = x_- = -100$, $u_- = -1.5$ and $u_+ = -1$.

Figure 14

Table 5.Numerical tests of bright soliton–kink interaction from left to right for $\mu = 1$ with $x_- = 50$. Values for $a_+$ and ${\rm \Delta} x$ according to the transmission conditions are compared with numerical (num) results.

Figure 15

Figure 11.Soliton–kink interaction for $\mu = 1$, $a_- = 1$, $x_- = -50$, $u_- = -1$ and $u_+ = 1$. (a) Initial condition. (b) Space–time contour plot of solution with soliton characteristic (dashed). (c) Configuration at $t = 200$. The predicted $a_+$ is –1, after flipping polarity in the interaction, and the predicted phase shift $\varDelta$ is 0. The numerical solution gives $a_+ = -1.0000$ and $\varDelta = 2.1484$ at $t = 200$.

Figure 16

Figure 12.(a–c) a soliton and CDSW$^{+}$ interaction where $\mu = -1$, $a_- = 1$, $x_- = -50$, $u_- = 0.5$ and $u_+ = -0.5$. (a) Initial condition. (b) Space–time contour plot of solution with soliton characteristic (dashed). (c) Configuration at $t = 120$. (d–f) soliton and CDSW$^{-}$ where $\mu = -1$, $a_- = 2.5$, $x_- = -50$, $u_- = -0.5$ and $u_+ = 0.5$. (d) Initial condition. (e) Space–time contour plot of solution with soliton characteristic (dashed). (f) Configuration at $t = 120$.

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Table 6.Numerical tests of bright soliton–CDSW interaction from left to right for $\mu = -1$ and $x_- = -50$.

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Table 7.Results for $\mu > 0$ with bright solitons interacting with hybrid mean flows.

Figure 19

Table 8.Results for $\mu < 0$ with bright solitons interacting with hybrid mean flows.

Figure 20

Figure 13.Backward kink–RW interaction with $\mu = 1$, $a_+ = 2$, $x_+ = 200$, $u_- = -0.5$ and $u_+ = -1$. (a) Initial condition. (b) Configuration at intermediate time $t = 300$. (c) Configuration at $t = 1000$. (d) Space–time contour plot of solution with kink characteristic (dashed). The predicted $a_-$ is 1 and the predicted $\varDelta$ is 200. The numerical solution gives $a_- = 0.9984$ and $\varDelta = 199.02$ at $t = 1000$.

Figure 21

Figure 14.Kink–DSW interaction with $\mu = 1$, $a_+ = 1$; $x_+ = 150$, $u_- = -1$ and $u_+ = -0.5$. (a) Initial condition. (b) Configuration at intermediate time $t = 50$. (c) Configuration at $t = 250$. (d) Space–time contour plot of solution with kink characteristic (dashed). The predicted $a_-$ is 2 and the predicted $\varDelta$ is -75. The numerical solution gives $a_- = 2.0022$ and $\varDelta = -74.56$ at $t = 250$.

Figure 22

Figure 15.Soliton interaction with an arbitrary mean flow with $\mu = -1$, $x_+ = 150$, $a_+ = 1$, $u_- = -1.5$ and $u_+ = -1$. (a) Initial condition. (b) Space–time contour plot of the solution with soliton characteristic (dashed). (c) Configuration post soliton-mean flow interaction at $t = 150$. The predicted amplitude after tunnelling is 2 and the predicted phase shift is -69.28. The numerical result is $a_- = 2.028$ and $\varDelta = -69.24$ at $t = 150$.

Figure 23

Figure 16.Potential curve $Q(u)$ of the nonlinear oscillator equation (A1). Travelling wave solutions exist in the shaded regions. (a) $\mu > 0$ and (b) $\mu < 0$.