具有局部增长奇异漂移的随机微分方程

Pub Date : 2024-04-19 DOI:10.1007/s10959-024-01333-5
Wenjie Ye
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引用次数: 0

摘要

本文研究了随机微分方程全局强解的弱可微分性、其中奇异漂移 b 和 Sobolev 扩散的弱梯度 \(\sigma \) 理应满足 \(\left\| \left| b\right| \cdot \mathbbm {1}_{B(R)}\right\| _{p_1}\le O((\log R)^{{(p_1-d)^2}/{2p^2_1}}) 和 \(\left\| \left\| \nabla \sigma\right\| \cdot \mathbbm {1}_{B(R)}\right\| _{p_1}}\le O((\log ({R}/{3}))^{{(p_1-d)^2}/{2p^2_1}})\)、分别为这些结果的主要工具是 Fang 等人 (Ann Probab 35(1):180-205, 2007) 中的全局两点运动分解、Krylov 估计、Khasminskii 估计、Zvonkin 变换以及 Xie 和 Zhang (Ann Probab 44(6):3661-3687, 2016) 中的随机场 Sobolev 可微分性表征。
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Stochastic Differential Equations with Local Growth Singular Drifts

In this paper, we study the weak differentiability of global strong solution of stochastic differential equations, the strong Feller property of the associated diffusion semigroups and the global stochastic flow property in which the singular drift b and the weak gradient of Sobolev diffusion \(\sigma \) are supposed to satisfy \(\left\| \left| b\right| \cdot \mathbbm {1}_{B(R)}\right\| _{p_1}\le O((\log R)^{{(p_1-d)^2}/{2p^2_1}})\) and \(\left\| \left\| \nabla \sigma \right\| \cdot \mathbbm {1}_{B(R)}\right\| _{p_1}\le O((\log ({R}/{3}))^{{(p_1-d)^2}/{2p^2_1}})\), respectively. The main tools for these results are the decomposition of global two-point motions in Fang et al. (Ann Probab 35(1):180–205, 2007), Krylov’s estimate, Khasminskii’s estimate, Zvonkin’s transformation and the characterization for Sobolev differentiability of random fields in Xie and Zhang (Ann Probab 44(6):3661–3687, 2016).

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