Revisiting multi-breathers in the discrete Klein–Gordon equation: a spatial dynamics approach

We consider the existence and spectral stability of multi-breather structures in the discrete Klein–Gordon equation, both for soft and hard symmetric potentials. To obtain analytical results, we project the system onto a finite-dimensional Hilbert space consisting of the first M Fourier modes, for a...

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Detalhes bibliográficos
Autores: Parker, Ross, Cuevas-Maraver, Jesús, Kevrekidis, Panayotis G., Aceves, Alejandro
Formato: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2022
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/140138
Acesso em linha:https://hdl.handle.net/11441/140138
https://doi.org/10.1088/1361-6544/ac8909
Access Level:acceso abierto
Palavra-chave:Discrete Klein–Gordon equation
Breathers
Discrete Hamiltonian systems
Nonlinear waves
Dynamical systems
Lin’s method
Descrição
Resumo:We consider the existence and spectral stability of multi-breather structures in the discrete Klein–Gordon equation, both for soft and hard symmetric potentials. To obtain analytical results, we project the system onto a finite-dimensional Hilbert space consisting of the first M Fourier modes, for arbitrary M. On this approximate system, we then take a spatial dynamics approach and use Lin’s method to construct multi-breathers from a sequence of well-separated copies of the primary, single-site breather. We then locate the eigenmodes in the Floquet spectrum associated with the interaction between the individual breathers of such multi-breather states by reducing the spectral problem to a matrix equation. Expressions for these eigenmodes for the approximate, finite-dimensional system are obtained in terms of the primary breather and its kernel eigenfunctions, and these are found to be in very good agreement with the numerical Floquet spectrum results. This is supplemented with results from numerical timestepping experiments, which are interpreted using the spectral computations.