Reflecting image-dependent SDEs in Wasserstein space and large deviation principle

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) Martingales and classical analysis (60G46)

Cites Work

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Mean field games with common noise
Systems of stochastic partial differential equations with reflection: existence and uniqueness
Large deviations and a Kramers' type law for self-stabilizing diffusions
Large deviations for infinite dimensional stochastic dynamical systems
Large deviations for stochastic tamed 3D Navier-Stokes equations
Large deviations for stochastic evolution equations with small multiplicative noise
Stochastic differential equations with reflecting boundary condition in convex regions
White noise driven quasilinear SPDEs with reflection
A variational representation for certain functionals of Brownian motion
Penalization schemes for reflecting stochastic differential equations
BSDEs with mean reflection
Large deviation principles of obstacle problems for quasilinear stochastic PDEs
Image-dependent conditional McKean-Vlasov SDEs for measure-valued diffusion processes
Forward and backward stochastic differential equations with normal constraints in law
Large deviations for empirical measures of mean-field Gibbs measures
Bismut formula for Lions derivative of distribution dependent SDEs and applications
Backward doubly SDEs and semilinear stochastic PDEs in a convex domain
Freidlin-Wentzell LDP in path space for McKean-Vlasov equations and the functional iterated logarithm law
From the master equation to mean field game limit theory: a central limit theorem
Large deviations and exit-times for reflected McKean-Vlasov equations with self-stabilising terms and superlinear drifts
Stochastic differential equations with reflecting boundary conditions
Large deviation problem for some parabolic itǒ equations
Equations différentielles stochastiques rétrogrades réfléchies dans un convexe
The Master Equation and the Convergence Problem in Mean Field Games
Mean reflected stochastic differential equations with jumps
Probabilistic Theory of Mean Field Games with Applications II
Large and moderate deviation principles for McKean-Vlasov SDEs with jumps

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