Global existence and multiplicity of solutions for logarithmic Schrödinger equations on graphs

Fuente: arXiv
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Autore principale: Shao, Mengqiu
Natura: Preprint
Pubblicazione: 2024
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author Shao, Mengqiu
author_facet Shao, Mengqiu
contents We consider the following logarithmic Schrödinger equation $$ -Δu+h(x)u=u\log u^{2} $$ on a locally finite graph $G=(V,E)$, where $Δ$ is a discrete Laplacian operator on the graph, $h$ is the potential function. Different from the classical methods in Euclidean space, we obtain the existence of global solutions to the equation by using the variational method from local to global, which is inspired by the works of Lin and Yang in \cite{LinYang}. In addition, when the potential function $h$ is sign-changing, we prove that the equation admits infinitely many solutions with high energy by using the symmetric mountain pass theorem. We extend the classical results in Euclidean space to discrete graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2405_08257
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Global existence and multiplicity of solutions for logarithmic Schrödinger equations on graphs
Shao, Mengqiu
Analysis of PDEs
Functional Analysis
We consider the following logarithmic Schrödinger equation $$ -Δu+h(x)u=u\log u^{2} $$ on a locally finite graph $G=(V,E)$, where $Δ$ is a discrete Laplacian operator on the graph, $h$ is the potential function. Different from the classical methods in Euclidean space, we obtain the existence of global solutions to the equation by using the variational method from local to global, which is inspired by the works of Lin and Yang in \cite{LinYang}. In addition, when the potential function $h$ is sign-changing, we prove that the equation admits infinitely many solutions with high energy by using the symmetric mountain pass theorem. We extend the classical results in Euclidean space to discrete graphs.
title Global existence and multiplicity of solutions for logarithmic Schrödinger equations on graphs
topic Analysis of PDEs
Functional Analysis
url https://arxiv.org/abs/2405.08257