General higher-order breathers and rogue waves in the two-component long-wave--short-wave resonance-interaction model

TL;DR

This paper derives general higher-order breather and rogue wave solutions for a two-component long-wave--short-wave resonance interaction model, revealing diverse patterns and reductions to special or degenerate cases with explicit determinant forms.

Contribution

It introduces a novel bilinear KP hierarchy reduction method to obtain explicit determinant solutions for higher-order breathers and rogue waves in the 2-LSRI model, including new families and degeneracies.

Findings

Derived explicit determinant solutions for higher-order breathers and rogue waves.

Identified three families of rogue wave solutions with distinct structures.

Illustrated diverse rogue wave patterns graphically.

Abstract

General higher-order breather and rogue wave (RW) solutions to the two-component long wave--short wave resonance interaction (2-LSRI) model are derived via the bilinear Kadomtsev-Petviashvili hierarchy reduction method and are given in terms of determinants. Under particular parametric conditions, the breather solutions can reduce to homoclinic orbits, or a mixture of breathers and homoclinic orbits. There are three families of RW solutions, which correspond to a simple root, two simple roots, and a double root of an algebraic equation related to the dimension reduction procedure. The first family of RW solutions consists of $\frac{N(N+1)}{2}$ bounded fundamental RWs, the second family is composed of $\frac{N_1(N_1+1)}{2}$ bounded fundamental RWs coexisting with another $\frac{N_2(N_2+1)}{2}$ fundamental RWs of different bounded state ($N,N_1,N_2$ being positive integers), while the third one have ${[\widehat{N}_1^2+\widehat{N}_2^2-\widehat{N}_1(\widehat{N}_2-1)]}$ fundamental bounded RWs ($\widehat{N}_1,\widehat{N}_2$ being non-negative integers). The second family can be regarded as the superpositions of the first family, while the third family can be the degenerate case of the first family under particular parameter choices. These diverse RW patterns are illustrated graphically.