Quantifying the effect of graph structure on strong Feller property of SPDEs

Fuente: arXiv
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Autores principales: Cui, Jianbo, Dang, Tonghe, Hong, Jialin, Wang, Zhengkai
Formato: Preprint
Publicado: 2026
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author Cui, Jianbo
Dang, Tonghe
Hong, Jialin
Wang, Zhengkai
author_facet Cui, Jianbo
Dang, Tonghe
Hong, Jialin
Wang, Zhengkai
contents This paper investigates how the structure of the underlying graph influences the behavior of stochastic partial differential equations (SPDEs) on finite tree graphs, where each edge is driven by space-time white noise. We first introduce a novel graph-based null decomposition approach to analyzing the strong Feller property of the Markov semigroup generated by SPDEs on tree graphs. By examining the positions of zero entries in eigenfunctions of the graph Laplacian operator, we establish a sharp upper bound on the number of noise-free edges that ensures both the strong Feller property and irreducibility. Interestingly, we find that the addition of noise to any single edge is sufficient for chain graphs, whereas for star graphs, at most one edge can remain noise-free without compromising the system's properties. Furthermore, under a dissipative condition, we prove the existence and exponential ergodicity of a unique invariant measure.
format Preprint
id arxiv_https___arxiv_org_abs_2602_11484
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Quantifying the effect of graph structure on strong Feller property of SPDEs
Cui, Jianbo
Dang, Tonghe
Hong, Jialin
Wang, Zhengkai
Probability
Numerical Analysis
Analysis of PDEs
60H15, 35R02, 47D07, 37L40
This paper investigates how the structure of the underlying graph influences the behavior of stochastic partial differential equations (SPDEs) on finite tree graphs, where each edge is driven by space-time white noise. We first introduce a novel graph-based null decomposition approach to analyzing the strong Feller property of the Markov semigroup generated by SPDEs on tree graphs. By examining the positions of zero entries in eigenfunctions of the graph Laplacian operator, we establish a sharp upper bound on the number of noise-free edges that ensures both the strong Feller property and irreducibility. Interestingly, we find that the addition of noise to any single edge is sufficient for chain graphs, whereas for star graphs, at most one edge can remain noise-free without compromising the system's properties. Furthermore, under a dissipative condition, we prove the existence and exponential ergodicity of a unique invariant measure.
title Quantifying the effect of graph structure on strong Feller property of SPDEs
topic Probability
Numerical Analysis
Analysis of PDEs
60H15, 35R02, 47D07, 37L40
url https://arxiv.org/abs/2602.11484