Self-adaptive moving mesh schemes for short pulse type equations and their Lax pairs

TL;DR

This paper develops integrable self-adaptive moving mesh schemes for short pulse equations using bilinear and Lax pair methods, ensuring their integrability and demonstrating good numerical performance.

Contribution

It introduces systematic methods for constructing integrable self-adaptive moving mesh schemes for short pulse equations based on bilinear equations and Lax pairs.

Findings

Schemes are based on discrete analogues of conservation laws.

Lax pairs are derived via discretization, confirming integrability.

Numerical results show improved accuracy with standard time-marching methods.

Abstract

Integrable self-adaptive moving mesh schemes for short pulse type equations (the short pulse equation, the coupled short pulse equation, and the complex short pulse equation) are investigated. Two systematic methods, one is based on bilinear equations and another is based on Lax pairs, are shown. Self-adaptive moving mesh schemes consist of two semi-discrete equations in which the time is continuous and the space is discrete. In self-adaptive moving mesh schemes, one of two equations is an evolution equation of mesh intervals which is deeply related to a discrete analogue of a reciprocal (hodograph) transformation. An evolution equations of mesh intervals is a discrete analogue of a conservation law of an original equation, and a set of mesh intervals corresponds to a conserved density which play an important role in generation of adaptive moving mesh. Lax pairs of self-adaptive moving mesh schemes for short pulse type equations are obtained by discretization of Lax pairs of short pulse type equations, thus the existence of Lax pairs guarantees the integrability of self-adaptive moving mesh schemes for short pulse type equations. It is also shown that self-adaptive moving mesh schemes for short pulse type equations provide good numerical results by using standard time-marching methods such as the improved Euler's method.