中文

概率测度抛物方程解的全局正则性与估计

概率论 2016-09-07 v1 偏微分方程分析

摘要

给定二阶抛物算子 Lu(t,x):=u(t,x)t+aij(t,x)xixju(t,x)+bi(t,x)xiu(t,x), Lu(t,x) :=\frac{\partial u(t,x)}{\partial t} + a^{ij}(t,x)\partial_{x_i}\partial_{x_j}u(t,x) + b^i(t,x)\partial_{x_i}u(t,x), 我们考虑在(0,1)×Rd(0,1)\times\mathbb{R}^d上Borel概率测度的弱抛物方程Lμ=0L^{*}\mu=0。该方程理解为对所有在(0,1)×Rd(0,1)\times\mathbb{R}^d内具有紧支集的光滑函数uu成立等式 (0,1)×RdLudμ=0. \int_{(0,1)\times\mathbb{R}^d} Lu d\mu =0. LL相关联的扩散过程的转移概率满足此方程。我们证明在广泛假设下μ\mu具有形式μ=ϱ(t,x)dtdx\mu=\varrho(t,x) dt dx,其中函数xϱ(t,x)x\mapsto \varrho(t,x)是Sobolev的,xϱ(x,t)2/ϱ(t,x)|\nabla_x \varrho(x,t)|^2/\varrho(t,x)[0,τ]×Rd[0,\tau]\times\mathbb{R}^d上Lebesgue可积,且对一切p[1,+)p\in [1,+\infty)τ<1\tau<1ϱLp([0,τ]×Rd)\varrho\in L^p([0,\tau]\times\mathbb{R}^d)。此外,给出了ϱ\varrho[0,τ]×Rd[0,\tau]\times\mathbb{R}^d上一致有界的一个充分条件。

关键词

引用

@article{arxiv.math/0512264,
  title  = {Global Regularity and Bounds for Solutions of Parabolic Equations for Probability Measures},
  author = {Vladimir I. Bogachev and Michael Röckner and Stanislav V. Shaposhnikov},
  journal= {arXiv preprint arXiv:math/0512264},
  year   = {2016}
}

备注

11 pages; BiBoS-Preprint No. 05-11-198; to appear in Th. Prob. Appl