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20052026
most citedIntegral identity and measure estimates for stationary Fokker-Planck equations

33 citations · 104 across the 43 of their papers we have counts for

collaborators

45 papers

math.AP2026

A stochastic convex integration scheme for the intermittent Onsager theorem in two-dimensional domains

Zhenxin Liu, Wenhu Zhong

For any , we construct -Hölder-continuous martingale solutions to the two-dimensional stochastic incompressible Euler equations. These marti…

math.DS2026

Averaging Principle and Pullback Attractor Convergence for McKean--Vlasov Stochastic Reaction--Diffusion Equations

Honglei Chen, Mengyu Cheng, Zhenxin Liu

We establish three averaging principles for distribution-dependent stochastic reaction--diffusion equations with rapidly oscillating coefficients on the torus , $d\le3…

math.DS2026

Continuity of measure-theoretic entropy for stochastic differential equations

Zhenxin Liu, Lixin Zhang

For stochastic differential equations, we establish a relationship between the measure-theoretic entropy of the stochastic flow and the rate of volume growth of stable submanifolds…

math.PR2026

A criterion for the well-posedness of McKean-Vlasov stochastic differential equations

Zhenxin Liu, Ziting Liu

We establish strong existence and pathwise uniqueness for McKean-Vlasov stochastic differential equations with coefficients satisfying a distribution-dependent Lyapunov condition.…

math.AP2026

Convergence rates of Wasserstein gradient flows for nonlinear Fokker-Planck equations with mobility and related inequalities

Zhenxin Liu, Xuewei Wang

For nonlinear Fokker-Planck equations with mobility, the Wasserstein gradient flow structure is described by the generalized relative entropy as the energy functional and the modif…

math.DS2026

Continuity and Discontinuity of McKean-Vlasov Phase Transitions via Bifurcation Theory

Junlang Hu, Zhenxin Liu

It is well known that the McKean-Vlasov stochastic differential equation with a symmetric double-well potential exhibits a continuous phase transition. In contrast, for an asymmetr…