Probabilistic representation for solutions to nonlinear Fokker-Planck equations
Viorel Barbu, Michael R\"ockner

TL;DR
This paper develops a probabilistic framework for representing solutions to nonlinear Fokker-Planck equations, linking them to stochastic differential equations, and extends the approach to equations with linear space-dependent drift.
Contribution
It introduces a probabilistic representation for entropic solutions to nonlinear Fokker-Planck equations, including cases with multivalued nonlinear diffusion and linear space-dependent drift.
Findings
Probabilistic representation for nonlinear Fokker-Planck solutions
Connection to solutions of nonlinear stochastic differential equations
Extension to equations with linear space-dependent drift
Abstract
One obtains a probabilistic representation for the entropic generalized solutions to a nonlinear Fokker-Planck equation in with multivalued nonlinear diffusion term as density probabilities of solutions to a nonlinear stochastic differential equation. The case of a nonlinear Fokker-Planck equation with linear space dependent drift is also studied.
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