activity
20082023
most citedSPDE in Hilbert Space with Locally Monotone Coefficients

187 citations · 727 across the 42 of their papers we have counts for

collaborators

43 papers

math.PR2023

McKean-Vlasov Stochastic Partial Differential Equations: Existence, Uniqueness and Propagation of Chaos

Wei Hong, Shihu Li, Wei Liu

In this paper, we provide a general framework for investigating McKean-Vlasov stochastic partial differential equations. We first show the existence of weak solutions by combining…

math.PR2023

Large deviation principles for stochastic nonlinear Schrodinger equations driven by Levy noise

Jiahui Zhu, Wei Liu, Jianliang Zhai

In this work we establish a Freidlin-Wentzell type large deviation principle for stochastic nonlinear Schrödinger equation, with either focusing or defocusing nonlinearity, driven…

math.PR2022★ 5 cited

McKean-Vlasov SDE and SPDE with Locally Monotone Coefficients

Wei Hong, Shanshan Hu, Wei Liu

In this paper we mainly investigate the strong and weak well-posedness of a class of McKean-Vlasov stochastic (partial) differential equations. The main existence and uniqueness re…

math.PR2022

Pathwise Blowup of space-time fractional SPDEs

Chang-Song Deng, Wei Liu, Erkan Nane

The finite time blowup in the almost sure sense of a class of space-time fractional stochastic partial differential equations is discussed. Both the cases of white noise and colore…

math.NT2022

Weighted average values of automorphic -functions

Wei Liu

Let be the set of primitive Hecke eigenforms of weight 2 and prime level . For prime and , we prove asymptotic formulas for the sums $$ \mathcal…

math.PR2021★ 1 cited

Central Limit Type Theorem and Large Deviation Principle for Multi-Scale McKean-Vlasov SDEs

Wei Hong, Shihu Li, Wei Liu +1

In this paper, we aim to study the asymptotic behavior for multi-scale McKean-Vlasov stochastic dynamical systems. Firstly, we obtain a central limit type theorem, i.e, the deviati…

math.NA2021★ 3 cited

Nonmonotone local minimax methods for finding multiple saddle points

Wei Liu, Ziqing Xie, Wenfan Yi

In this paper, by designing a normalized nonmonotone search strategy with the Barzilai--Borwein-type step-size, a novel local minimax method (LMM), which is a globally convergent i…

math.NA2021★ 6 cited

Normalized Wolfe-Powell-type local minimax method for finding multiple unstable solutions of nonlinear elliptic PDEs

Wei Liu, Ziqing Xie, Wenfan Yi

The local minimax method (LMM) proposed in [Y. Li and J. Zhou, SIAM J. Sci. Comput., 23(3), 840--865 (2001)] and [Y. Li and J. Zhou, SIAM J. Sci. Comput., 24(3), 865--885 (2002)] i…

math.PR2021

Strong Convergence Rates in Averaging Principle for Slow-Fast McKean-Vlasov SPDEs

Wei Hong, Shihu Li, Wei Liu

In this paper, we aim to study the asymptotic behaviour for a class of McKean-Vlasov stochastic partial differential equations with slow and fast time-scales. Using the variational…

math.DS2021

Quantitative ergodic theorems for actions of groups of polynomial growth

Guixiang Hong, Wei Liu

We strengthen the maximal ergodic theorem for actions of groups of polynomial growth to a form involving jump quantity, which is the sharpest result among the family of variational…

math.PR2021★ 1 cited

Large Deviation Principle for McKean-Vlasov Quasilinear Stochastic Evolution Equations

Wei Hong, Shihu Li, Wei Liu

This paper is devoted to investigating the Freidlin-Wentzell's large deviation principle for a class of McKean-Vlasov quasilinear SPDEs perturbed by small multiplicative noise. We…

math.PR2021★ 7 cited

Distribution Dependent Stochastic Porous Media Equations

Jingyue Gao, Wei Hong, Wei Liu

Using the generalized variational framework, the strong/weak existence and uniqueness of solutions are derived for a class of distribution dependent stochastic porous media equatio…

math.PR2021

Freidlin-Wentzell Type Large Deviation Principle for Multi-Scale Locally Monotone SPDEs

Wei Hong, Shihu Li, Wei Liu

This work is concerned with Freidlin-Wentzell type large deviation principle for a family of multi-scale quasilinear and semilinear stochastic partial differential equations. Emplo…

math.NA2020

Truncated Milstein method for non-autonomous stochastic differential equations and its modification

Juan Liao, Wei Liu, Xiaoyan Wang

The truncated Milstein method, which was initially proposed in (Guo, Liu, Mao and Yue 2018), is extended to the non-autonomous stochastic differential equations with the super-line…

math.AG2020

A minimax argument to a stronger version of the Jacobian conjecture

Wei Liu

The main result of this paper is to prove the strong real Jacobian conjecture under the symmetric assumption and reveals the link between it and the Jacobian conjecture. Precisely,…

math.PR2020★ 35 cited

Long-time behaviors of mean-field interacting particle systems related to McKean-Vlasov equations

Wei Liu, Liming Wu, Chaoen Zhang

In this paper, we investigate gradient estimate of the Poisson equation and the exponential convergence in the Wasserstein metric , uniform in the number of particle…

math.PR2020★ 3 cited

Finite Time Blowup of Solutions to SPDEs with Bernstein Functions of the Laplacian

Chan-Song Deng, Wei Liu, Erkan Nane

The blowup in finite time of solutions to SPDEs \begin{equation*} \partial_tu_t(x)=-ϕ(-Δ)u_t(x) +σ(u_t(x))\dotξ(t,x), \quad t>0,x\in\mathbb{R}^d, \end{equation*} { is} investigated…

math.PR2020★ 12 cited

The Stochastic Strichartz estimates and stochastic nonlinear Schrödinger equations driven by Lévy noise

Zdzisław Brzeźniak, Wei Liu, Jiahui Zhu

We establish a new version of the stochastic Strichartz estimate for the stochastic convolution driven by jump noise which we apply to the stochastic nonlinear Schrödinger equation…

math.AP2019★ 9 cited

The Kinetic Fokker-planck Equation With Mean Field Interaction

Arnaud Guillin, Wei Liu, Liming Wu +1

We study the long time behaviour of the kinetic Fokker-Planck equation with mean field interaction, whose limit is often called Vlasov-Fkker-Planck equation. We prove a uniform (in…

math.PR2019

Well-posedness of Backward Stochastic Partial Differential Equations with Lyapunov Condition

Wei Liu, Rongchan Zhu

In this paper we show the existence and uniqueness of strong solutions for a large class of backward SPDE where the coefficients satisfy a specific type Lyapunov condition instead…

math.PR2019★ 1 cited

Small Time Asymptotics for SPDEs with Locally Monotone Coefficients

Shihu Li, Wei Liu, Yingchao Xie

This work aims to prove the small time large deviation principle (LDP) for a class of stochastic partial differential equations (SPDEs) with locally monotone coefficients in genera…

math.PR2019

Uniform Poincar{é} and logarithmic Sobolev inequalities for mean field particles systems

Arnaud Guillin, Wei Liu, Liming Wu +1

In this paper we establish some explicit and sharp estimates of the spectral gap and the log-Sobolev constant for mean field particles system, uniform in the number of particles, w…

math.AP2019

Strong dissipativity of generalized time-fractional derivatives and quasi-linear (stochastic) partial differential equations

Wei Liu, Michael Röckner, José Luís da Silva

In this paper strong dissipativity of generalized time-fractional derivatives on Gelfand triples of properly in time weighted -path spaces is proved. In particular, the classi…

math.NA2019★ 1 cited

Equivalence of pth moment stability between stochastic differential delay equations and their numerical methods

Zhenyu Bao, Jingwen Tang, Yan Shen +1

In this paper, a general theorem on the equivalence of pth moment stability between stochastic differential delay equations (SDDEs) and their numerical methods is proved under the…