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arXiv 1104.3884math.PR
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分数阶布朗运动驱动的随机微分方程解的密度上界

Upper bounds for the density of solutions of stochastic differential equations driven by fractional Brownian motions

Fabrice Baudoin, Cheng Ouyang, Samy Tindel

摘要:

本文研究了Hurst参数H > 1/3的分数阶布朗运动驱动的随机微分方程解的密度上界。证明了在一定的几何条件下,当H > 1/2时,解的密度满足log-Sobolev不等式,Gaussian浓度不等式,且存在Gaussian上界.在粗糙情形H > 1/3和相同的几何条件下,我们证明了解的密度是光滑的,并且存在一个亚高斯上界。

英文摘要:

In this paper we study upper bounds for the density of solution of stochastic differential equations driven by a fractional Brownian motion with Hurst parameter H > 1/3. We show that under some geometric conditions, in the regular case H > 1/2, the density of the solution satisfy the log-Sobolev inequality, the Gaussian concentration inequality and admits an upper Gaussian bound. In the rough case H > 1/3 and under the same geometric conditions, we show that the density of the solution is smooth and admits an upper sub-Gaussian bound.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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