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 results state that we only need to impose some local assumptions on the coefficients, i.e. locally monotone condition both in state variable and distribution variable, which cause some essential difficulty since the coefficients of McKean-Vlasov stochastic equations typically are nonlocal. Furthermore, the large deviation principle is also derived for the McKean-Vlasov stochastic equations under those weak assumptions. The wide applications of main results are illustrated by various concrete examples such as the Granular media equations, Kinetic equations, distribut...
This thesis divides neatly into four collections of results. In the first (Part II), we provide e...
Abstract: Under a Lipschitz condition on distribution dependent coefficients, the central limit theo...
Nonlinear stochastic partial differential equations (SPDEs) are used to model wide variety of pheno...
Consider stochastic partial differential equations (SPDEs) with fully local monotone coefficients in...
We investigate the well-posedness of distribution dependent SDEs with singular coefficients. Existen...
Pathwise uniqueness for multi-dimensional stochastic McKean--Vlasov equation is established under mo...
New weak and strong existence and weak and strong uniqueness results for the solutions of multi-dime...
The work concerns a type of backward multivalued McKean-Vlasov stochastic differential equations. Fi...
In this paper, we prove the existence and uniqueness of solutions as well as ergodicity for McKean-V...
In this paper, we establish large deviation principle for the strong solution of a doubly nonlinear ...
We investigate the well-posedness problem related to two models of nonlinear McKean Stochastic Diffe...
In this paper we study the sensitivity of nonlinear stochastic differential equations of McKean–Vlas...
Cette thèse traite de deux sujets: la résolubilité forte d'équations différentielles stochastiques à...
McKean-Vlasov stochastic differential equations may arise from a probabilistic interpretation of cer...
In this paper, we prove pathwise uniqueness for stochastic systems of McKean-Vlasov type with singul...
This thesis divides neatly into four collections of results. In the first (Part II), we provide e...
Abstract: Under a Lipschitz condition on distribution dependent coefficients, the central limit theo...
Nonlinear stochastic partial differential equations (SPDEs) are used to model wide variety of pheno...
Consider stochastic partial differential equations (SPDEs) with fully local monotone coefficients in...
We investigate the well-posedness of distribution dependent SDEs with singular coefficients. Existen...
Pathwise uniqueness for multi-dimensional stochastic McKean--Vlasov equation is established under mo...
New weak and strong existence and weak and strong uniqueness results for the solutions of multi-dime...
The work concerns a type of backward multivalued McKean-Vlasov stochastic differential equations. Fi...
In this paper, we prove the existence and uniqueness of solutions as well as ergodicity for McKean-V...
In this paper, we establish large deviation principle for the strong solution of a doubly nonlinear ...
We investigate the well-posedness problem related to two models of nonlinear McKean Stochastic Diffe...
In this paper we study the sensitivity of nonlinear stochastic differential equations of McKean–Vlas...
Cette thèse traite de deux sujets: la résolubilité forte d'équations différentielles stochastiques à...
McKean-Vlasov stochastic differential equations may arise from a probabilistic interpretation of cer...
In this paper, we prove pathwise uniqueness for stochastic systems of McKean-Vlasov type with singul...
This thesis divides neatly into four collections of results. In the first (Part II), we provide e...
Abstract: Under a Lipschitz condition on distribution dependent coefficients, the central limit theo...
Nonlinear stochastic partial differential equations (SPDEs) are used to model wide variety of pheno...