English

Stochastic Hamiltonian flows with singular coefficients

Probability 2017-02-08 v2 Analysis of PDEs

Abstract

In this paper we study the following stochastic Hamiltonian system in R2d{\mathbb R}^{2d} (a second order stochastic differential equation), dX˙t=b(Xt,X˙t)dt+σ(Xt,X˙t)dWt,  (X0,X˙0)=(x,v)R2d, d \dot X_t=b(X_t,\dot X_t)d t+\sigma(X_t,\dot X_t)d W_t,\ \ (X_0,\dot X_0)=(x,v)\in{\mathbb R}^{2d}, where b(x,v):R2dRdb(x,v):{\mathbb R}^{2d}\to{\mathbb R}^d and σ(x,v):R2dRdRd\sigma(x,v):{\mathbb R}^{2d}\to{\mathbb R}^d\otimes{\mathbb R}^d are two Borel measurable functions. We show that if σ\sigma is bounded and uniformly non-degenerate, and bHp2/3,0b\in H^{2/3,0}_p and σLp\nabla\sigma\in L^p for some p>2(2d+1)p>2(2d+1), where Hpα,βH^{\alpha,\beta}_p is the Bessel potential space with differentiability indices α\alpha in xx and β\beta in vv, then the above stochastic equation admits a unique strong solution so that (x,v)Zt(x,v):=(Xt,X˙t)(x,v)(x,v)\mapsto Z_t(x,v):=(X_t,\dot X_t)(x,v) forms a stochastic homeomorphism flow, and (x,v)Zt(x,v)(x,v)\mapsto Z_t(x,v) is weakly differentiable with ess.supx,vE(supt[0,T]Zt(x,v)q)<\sup_{x,v}E\left(\sup_{t\in[0,T]}|\nabla Z_t(x,v)|^q\right)<\infty for all q1q\geq 1 and T0T\geq 0. Moreover, we also show the uniqueness of probability measure-valued solutions for kinetic Fokker-Planck equations with rough coefficients by showing the well-posedness of the associated martingale problem and using the superposition principle established by Figalli \cite{Fi} and Trevisan \cite{Tre}.

Keywords

Cite

@article{arxiv.1606.04360,
  title  = {Stochastic Hamiltonian flows with singular coefficients},
  author = {Xicheng Zhang},
  journal= {arXiv preprint arXiv:1606.04360},
  year   = {2017}
}

Comments

40pages

R2 v1 2026-06-22T14:24:58.430Z