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arXiv 2109.09999math.PRmath.FA
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非线性无穷维退化随机微分方程的亚耗散性

Hypocoercivity for non-linear infinite-dimensional degenerate stochastic differential equations

Benedikt Eisenhuth, Martin Grothaus

AI总结:

本文研究非线性无穷维退化随机微分方程,用预解式方法构造无穷维Langevin动力学弱解,结合亚耗散性方法与算子本质m-耗散性结果,证明L²指数遍历性,并应用于显式退化扩散方程。

摘要:

本文旨在构造二阶时间随机偏微分方程的解,并证明相应转移半群的亚耗散性。更一般地,我们从无穷小生成元的角度分析非线性无穷维退化随机微分方程。在本文的第一部分,我们使用由Beznea、Boboc和Röckner提出的预解式方法,来构造具有无限寿命和显式不变测度的扩散过程。这些过程给出了无穷维Langevin动力学的弱解。第二部分研究由Dolbeaut、Mouhot和Schmeiser提出的一般抽象希尔伯特空间亚耗散性方法。为了处理随机(偏)微分方程,Grothaus和Stilgenbauer将这些概念转化到Kolmogorov倒向框架下,同时考虑了定义域问题。为了将这些概念应用于无穷维Langevin动力学的场景,我们使用了被势的梯度扰动的无穷维Ornstein-Uhlenbeck算子的本质m-耗散性结果。我们允许无界扩散算子作为系数,并应用了相应的正则性估计。此外,还需要与该动力学相关的非扇形Kolmogorov倒向算子的本质m-耗散性。本文研究了密度关于无穷维非退化高斯测度的测度的Poincaré不等式。通过推导Kolmogorov倒向算子生成的半群作为扩散过程转移半群的随机表示,我们证明了该弱解的L²指数遍历性结果。最后,我们将所得结果应用于显式无穷维退化扩散方程。

英文摘要:

The aim of this article is to construct solutions to second order in time stochastic partial differential equations and to show hypocoercivity of the corresponding transition semigroups. More generally, we analyze non-linear infinite-dimensional degenerate stochastic differential equations in terms of their infinitesimal generators. In the first part of this article we use resolvent methods developed by Beznea, Boboc and Röckner to construct diffusion processes with infinite lifetime and explicit invariant measures. The processes provide weak solutions to infinite-dimensional Langevin dynamics. The second part deals with a general abstract Hilbert space hypocoercivity method, developed by Dolbeaut, Mouhot and Schmeiser. In order to treat stochastic (partial) differential equations, Grothaus and Stilgenbauer translated these concepts to the Kolmogorov backwards setting taking domain issues into account. To apply these concepts in the context of infinite-dimensional Langevin dynamics we use an essential m-dissipativity result for infinite-dimensional Ornstein-Uhlenbeck operators, perturbed by the gradient of a potential. We allow unbounded diffusion operators as coefficients and apply corresponding regularity estimates. Furthermore, essential m-dissipativity of a non-sectorial Kolmogorov backward operator associated to the dynamic is needed. Poincaré inequalities for measures with densities w.r.t. infinite-dimensional non-degenerate Gaussian measures are studied. Deriving a stochastic representation of the semigroup generated by the Kolmogorov backward operator as the transition semigroup of a diffusion process enables us to show an $L^2$-exponential ergodicity result for the weak solution. Finally, we apply our results to explicit infinite-dimensional degenerate diffusion equations.

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