Long-time Behaviour of the Non-autonomous Stochastic FitzHugh-Nagumo Systems on Thin Domains

Fuente: arXiv
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Autori principali: Li, Dingshi, Li, Ran, Zeng, Tianhao
Natura: Preprint
Pubblicazione: 2024
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author Li, Dingshi
Li, Ran
Zeng, Tianhao
author_facet Li, Dingshi
Li, Ran
Zeng, Tianhao
contents We study the long-time behavior of non-autonomous stochastic FitzHugh-Nagumo systems on thin domains. As the $(n+ 1)$-dimensional thin domains collapses onto an n-dimensional domain, an n-dimensional limiting FitzHugh-Nagumo system is derived. This n-dimensional limiting system encodes the defining geometry of the $(n+1)$-dimensional system. To justify this limiting process, we show that the pullback measure attractors of the FitzHugh-Nagumo systems on thin domains are upper semi-continuous as the height of thin direction tends to zero.
format Preprint
id arxiv_https___arxiv_org_abs_2412_01205
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Long-time Behaviour of the Non-autonomous Stochastic FitzHugh-Nagumo Systems on Thin Domains
Li, Dingshi
Li, Ran
Zeng, Tianhao
Dynamical Systems
We study the long-time behavior of non-autonomous stochastic FitzHugh-Nagumo systems on thin domains. As the $(n+ 1)$-dimensional thin domains collapses onto an n-dimensional domain, an n-dimensional limiting FitzHugh-Nagumo system is derived. This n-dimensional limiting system encodes the defining geometry of the $(n+1)$-dimensional system. To justify this limiting process, we show that the pullback measure attractors of the FitzHugh-Nagumo systems on thin domains are upper semi-continuous as the height of thin direction tends to zero.
title Long-time Behaviour of the Non-autonomous Stochastic FitzHugh-Nagumo Systems on Thin Domains
topic Dynamical Systems
url https://arxiv.org/abs/2412.01205