Pullback measure attractors for non-autonomous stochastic FitzHugh-Nagumo system with distribution dependence on unbounded domains

Fuente: arXiv
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Autori principali: Ruiyan, Hu, Dingshi, Li, Tianhao, Zeng
Natura: Preprint
Pubblicazione: 2025
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author Ruiyan, Hu
Dingshi, Li
Tianhao, Zeng
author_facet Ruiyan, Hu
Dingshi, Li
Tianhao, Zeng
contents This paper is primarily focused on the asymptotic dynamics of a non-autonomous stochastic FitzHugh-Nagumo system with distribution dependence, specifically on unbounded domains $\mathbb{R}^{n}$. Initially, we establish the well-posedness of solutions for the FitzHugh-Nagumo system with distribution dependence by utilizing the Banach fixed-point theorem. Subsequently, we demonstrate the existence and uniqueness of pullback measure attractors for this system through the application of splitting techniques, tail-end estimates and Vitali's theorem.
format Preprint
id arxiv_https___arxiv_org_abs_2501_03622
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Pullback measure attractors for non-autonomous stochastic FitzHugh-Nagumo system with distribution dependence on unbounded domains
Ruiyan, Hu
Dingshi, Li
Tianhao, Zeng
Probability
Dynamical Systems
This paper is primarily focused on the asymptotic dynamics of a non-autonomous stochastic FitzHugh-Nagumo system with distribution dependence, specifically on unbounded domains $\mathbb{R}^{n}$. Initially, we establish the well-posedness of solutions for the FitzHugh-Nagumo system with distribution dependence by utilizing the Banach fixed-point theorem. Subsequently, we demonstrate the existence and uniqueness of pullback measure attractors for this system through the application of splitting techniques, tail-end estimates and Vitali's theorem.
title Pullback measure attractors for non-autonomous stochastic FitzHugh-Nagumo system with distribution dependence on unbounded domains
topic Probability
Dynamical Systems
url https://arxiv.org/abs/2501.03622