Vector rogue wave patterns of the multi-component nonlinear Schr\"odinger equation and generalized mixed Adler--Moser polynomials

TL;DR

This paper explores complex vector rogue wave patterns in multi-component nonlinear Schrödinger equations, linking their structures to generalized polynomials with adjustable parameters, revealing new wave shapes and controllable positions.

Contribution

It introduces generalized mixed Adler--Moser polynomials and connects their root structures to novel rogue wave patterns in multi-component NLSEs, including shape diversity and position control.

Findings

Identifies new rogue wave patterns such as jellyfish-like and thumbtack-like shapes.

Establishes a relationship between rogue wave patterns and roots of GMAM polynomials.

Demonstrates controllable positioning of rogue waves via polynomial parameters.

Abstract

This paper investigates the asymptotic behavior of high-order vector rogue wave (RW) solutions for any multi-component nonlinear Schr\"odinger equation (denoted as $n$-NLSE) with multiple internal large parameters and reports some new RW patterns, including non-multiple root (NMR)-type patterns with shapes such as $ 180 $-degree sector, jellyfish-like, and thumbtack-like shapes, as well as multiple root (MR)-type patterns characterized by right double-arrow and right arrow shapes. We establish that these RW patterns are intrinsically related to the root structures of a novel class of polynomials, termed generalized mixed Adler--Moser (GMAM) polynomials, which feature multiple arbitrary free parameters. The RW patterns can be understood as straightforward expansions and slight shifts of the root structures for the GMAM polynomials to some extent. In the $(x,t)$-plane, they asymptotically converge to a first-order RW at the position corresponding to each simple root of the polynomials and to a lower-order RW at the position associated with each multiple root. Notably, the position of the lower-order RW within these patterns can be flexibly adjusted to any desired location in the $(x,t)$-plane by tuning the free parameters of the corresponding GMAM polynomials.