AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (331.3 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Pullback attractors and statistical solutions for the lattice Zakharov equations on time-dependent spaces

Anran Li1Caidi Zhao1( )Tomás Caraballo2
Department of Mathematics, Wenzhou University, Wenzhou, Zhejiang Province, 325035, China
Facultad de Matemáticas, Universidad de Sevilla, c/Tarfia s/n, 41012-Sevilla, Spain
Show Author Information

Abstract

In this paper, the authors investigate the probability distribution of solutions within the time-dependent phase spaces for the lattice Zakharov equations with varying coefficients via the pullback attractors and the notion of generalized Banach limits. They firstly show that the addressed initial value problem is globally well-posed and prove that the related evolution process has a time-dependent pullback attractor on the time-dependent phase spaces. Then they construct a family of invariant Borel probability measures with supports contained in the pullback attractor. Furthermore, they prove that the constructed family of invariant measures is a statistical solution for the addressed lattice Zakharov equations and that Liouville's theorem holds true.

CLC number: 34D35, 35B41, 76D06

References

【1】
【1】
 
 
AIMS Mathematics
Pages 3367-3393

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Li A, Zhao C, Caraballo T. Pullback attractors and statistical solutions for the lattice Zakharov equations on time-dependent spaces. AIMS Mathematics, 2026, 11(2): 3367-3393. https://doi.org/10.3934/math.2026137

125

Views

1

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 20 November 2025
Revised: 19 January 2026
Accepted: 27 January 2026
Published: 04 February 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)