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Wednesday, July 15, 2026 - 14:00 in V3-201+Zoom


Non-Uniqueness for Nonlinear Fokker--Planck Equations and Their Associated Distribution-Dependent SDEs

A talk in the Bielefeld Stochastic Afternoon series by
Huaxiang Lv

Abstract: In this paper, we study distribution-dependent stochastic differential equations on the domain $\mathcal O=\mathbb T^d$ or $\mathbb R^d$, $d\geq 2$, of the form \begin{align*} \mathrm{d}X_t % statt {\rm d}X_t = v(t,X_t,\rho_t)\,\mathrm{d}t % statt {\rm d}t + \sqrt{2}\, \sigma(t,X_t,\rho_t)\,\mathrm{d}W_t, % statt {\rm d}W_t \qquad \rho_t:=\frac{\mathrm{d}\mu_t}{\mathrm{d}x}, % statt {\rm d}\mu_t / {\rm d}x \end{align*} where $\mu_t=\operatorname{Law}(X_t)$. Our main construction is carried out at the level of the associated nonlinear Fokker--Planck equations. We first build non-unique probability solutions to these PDEs and then use the superposition principle to obtain non-unique martingale solutions to the corresponding DDSDEs.

We establish two main non-uniqueness results concerning stationary states, both on the torus and in the whole space, under the corresponding structural assumptions. First, we construct a divergence-free drift $v\in C_tL^{d-}$ such that the DDSDE admits infinitely many distinct solutions starting from the stationary initial density. This result lies at the natural critical regularity threshold: in several models, well-posedness is expected for drifts in $C_tL^{d+}$. Second, for $d\geq 3$ and every prescribed $N\in\mathbb{N}$, we construct a divergence-free drift for which the DDSDE admits at least $N$ distinct stationary martingale solutions. The resulting multiplicity of equilibrium states is reminiscent of multistability and phase-transition phenomena in physical systems.



Within the CRC this talk is associated to the project(s): B1



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