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20242026
most citedInvariant measures, periodic measures and pullback measure attractors of McKean-Vlasov stochastic reaction-diffusion equations on unbounded domains

2 citations · 4 across the 9 of their papers we have counts for

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math.AP2024★ 1 cited

Invariant measures and their limiting behavior of the Landau-Lifshitz-Bloch equation in unbounded domains

Daiwen Huang, Zhaoyang Qiu, Bixiang Wang

This paper deals with the existence and limiting behavior of invariant measures of the stochastic Landau-Lifshitz-Bloch equation driven by linear multiplicative noise and additive…

math.PR2024★ 2 cited

Invariant measures, periodic measures and pullback measure attractors of McKean-Vlasov stochastic reaction-diffusion equations on unbounded domains

Lin Shi, Jun Shen, Kening Lu +1

This paper deals with the long term dynamics of the non-autonomous McKean-Vlasov stochastic reaction-diffusion equations on R^n. We first prove the existence and uniqueness of pull…

math.PR2024★ 1 cited

Well-posedness and large deviations of fractional McKean-Vlasov stochastic reaction-diffusion equations on unbounded domains

Zhang Chen, Bixiang Wang

This paper is mainly concerned with the large deviation principle of the fractional McKean-Vlasov stochastic reaction-diffusion equation defined on R^n with polynomial drift of any…

math.PR2024

Uniform Large Deviation Principles of Fractional Reaction-Diffusion Equations Driven by Superlinear Multiplicative Noise on R^n

Bixiang Wang

In this paper, we investigate the uniform large deviation principle of the fractional stochastic reaction-diffusion equation on the entire space R^n as the noise intensity approach…

math.PR2024

Large Deviation Principles of Invariant Measures of Stochastic Reaction-Diffusion Lattice Systems

Bixiang Wang

In this paper, we study the large deviation principle of invariant measures of stochastic reaction-diffusion lattice systems driven by multiplicative noise. We first show that any…