Hamiltonian shocks

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2024-07-09 DOI:10.1111/sapm.12733
Russell Arnold, Roberto Camassa, Lingyun Ding
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Abstract

Wave propagation in the form of fronts or kinks, a common occurrence in a wide range of physical phenomena, is studied in the context of models defined by their Hamiltonian structure. Motivated, for dispersive wave evolution equations such as a strongly nonlinear model of two-layer internal waves in the Boussinesq limit, by the symmetric properties of a class of front-propagating solutions, known as conjugate states or solibores, a generalized formulation based purely on the dispersionless reduction of a system is introduced, and a class of undercompressive shock solutions, here referred to as “Hamiltonian shocks,” is defined. This analysis determines whether a Hamiltonian shock, representing locally a kink for the parent dispersive equations, will interact with a sufficiently smooth background wave without inducing loss of regularity, which would take the form of a classical dispersive shock for the parent equations. This property is also related to an infinitude of conservation laws, drawing a parallel to the case of completely integrable systems.

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汉密尔顿冲击
波以前沿或扭结的形式传播是多种物理现象中常见的现象,我们在由哈密顿结构定义的模型背景下对其进行了研究。对于分散波演化方程(如布西内斯克极限中的双层内波强非线性模型),受一类前传播解(称为共轭态或溶解态)的对称特性的激励,引入了一种纯粹基于系统无分散还原的广义表述,并定义了一类欠压缩冲击解,在此称为 "哈密尔顿冲击"。这种分析确定了哈密尔顿冲击(代表母分散方程的局部扭结)是否会与足够平滑的背景波相互作用而不会导致规则性丧失,而规则性丧失的形式就是母方程的经典分散冲击。这一特性也与无穷多个守恒定律有关,与完全可积分系统的情况相似。
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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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