A probabilistic point of view for the Kolmogorov hypoelliptic equations

IF 0.6 4区 数学 Q4 STATISTICS & PROBABILITY Esaim-Probability and Statistics Pub Date : 2021-09-14 DOI:10.1051/ps/2023007
Pierre Etor'e, Jos'e R. Le'on, C. Prieur
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Abstract

In this work, we propose a method for solving Kolmogorov hypoelliptic equations based on Fourier transform and  Feynman-Kac formula. We first explain how the Feynman-Kac formula can be used to compute the fundamental solution to parabolic equations with linear or quadratic potential. Then applying these results after a Fourier transform we deduce the computation of the solution to a first class of Kolmogorov hypoelliptic equations. Then we solve partial differential equations obtained via Feynman-Kac formula from the Ornstein-Uhlenbeck generator. Also, a new small time approximation of the solution to a certain class of Kolmogorov hypoelliptic equations is provided. We finally present the results of numerical experiments to check the practical efficiency of this approximation.
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柯尔莫哥洛夫半椭圆方程的概率观点
本文提出了一种基于傅立叶变换和费曼-卡茨公式求解柯尔莫哥洛夫半椭圆方程的方法。我们首先解释如何使用费曼-卡茨公式来计算具有线性或二次势的抛物方程的基本解。然后应用这些结果进行傅里叶变换,推导出一类柯尔莫哥洛夫准椭圆方程的解的计算。然后,我们求解由Feynman-Kac公式得到的由Ornstein-Uhlenbeck生成的偏微分方程。同时给出了一类Kolmogorov准椭圆型方程解的一个新的小时间逼近。最后给出了数值实验结果来验证这种近似的实际有效性。
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来源期刊
Esaim-Probability and Statistics
Esaim-Probability and Statistics STATISTICS & PROBABILITY-
CiteScore
1.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: The journal publishes original research and survey papers in the area of Probability and Statistics. It covers theoretical and practical aspects, in any field of these domains. Of particular interest are methodological developments with application in other scientific areas, for example Biology and Genetics, Information Theory, Finance, Bioinformatics, Random structures and Random graphs, Econometrics, Physics. Long papers are very welcome. Indeed, we intend to develop the journal in the direction of applications and to open it to various fields where random mathematical modelling is important. In particular we will call (survey) papers in these areas, in order to make the random community aware of important problems of both theoretical and practical interest. We all know that many recent fascinating developments in Probability and Statistics are coming from "the outside" and we think that ESAIM: P&S should be a good entry point for such exchanges. Of course this does not mean that the journal will be only devoted to practical aspects.
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