Large x $x$ Asymptotics of the Soliton Gas for the Nonlinear Schrödinger Equation

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2025-02-21 DOI:10.1111/sapm.70027
Xiaofeng Han, Xiaoen Zhang, Huanhe Dong
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Abstract

In this paper, we construct a Riemann–Hilbert problem of the soliton gas for the nonlinear Schrödinger equation, derived by taking the limit of the n $n$ soliton solutions as n $n\rightarrow \infty$ . The discrete spectra corresponding to the soliton solutions are located in four disjoint intervals on the imaginary axis, which are symmetric about the real axis. We analyze the large x $x$ asymptotics by setting the time variable t $t$ to zero. Using the Deift–Zhou nonlinear steepest-descent method, we find that the large x $x$ asymptotics at t = 0 $t=0$ behave differently, as x $x\rightarrow \infty$ , the asymptotics decays to the zero background exponentially, while as x $x\rightarrow -\infty$ , the leading-order term can be expressed with a Riemann-theta function of genus three. In the conclusion, we expand this case to the general N $N$ intervals and conjecture on the large x $x$  asymptotics.

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非线性Schrödinger方程孤子气体的大x$ x$渐近性
本文构造了非线性Schrödinger方程的黎曼-希尔伯特问题,该方程取n个$n$孤子解的极限为n→∞$n\rightarrow \infty$。与孤子解相对应的离散谱位于虚轴上的四个不相交区间内,这些区间围绕实轴对称。我们通过设置时间变量t $t$为零来分析大x $x$渐近性。利用Deift-Zhou非线性最陡下降法,我们发现在t = 0 $t=0$处的大x $x$渐近性表现不同,为x→∞$x\rightarrow \infty$,当x→−∞$x\rightarrow -\infty$时,其首阶项可以用一个3属的Riemann-theta函数表示。在结论中,我们将这种情况推广到一般N个$N$区间,并推测了大x $x$渐近性。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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