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Entropic multipliers method for Langevin diffusion and weighted log Sobolev inequalities

机译:Langevin扩散和加权日志SoboLev不等式的熵乘数方法

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In his work about hypocoercivity, Villani [20] considers in particular convergence to equilibrium for the kinetic Langevin process. While his convergence results in L-2 are given in a quite general setting, convergence in entropy requires some boundedness condition on the Hessian of the Hamiltonian. We will show here how to get rid of this assumption in the study of the hypocoercive entropic relaxation to equilibrium for the Langevin diffusion. Our method relies on a generalization to entropy of the multipliers method and an adequate functional inequality. As a byproduct, we also give tractable conditions for this functional inequality, which is a particular instance of a weighted logarithmic Sobolev inequality, to hold. (C) 2019 Elsevier Inc. All rights reserved.
机译:在他的工作中有关低杀伤性的工作,Villani [20]特别考虑到动态Langevin工艺的均衡融合。 虽然他的收敛导致L-2在相当普遍的环境中给出,但熵的收敛需要在Hushiltonian的Hessian上的一些有界情况。 我们将在这里展示如何在研究中,在对Langevin扩散的均衡到平衡的研究中摆脱这种假设。 我们的方法依赖于乘法转换方法的熵和足够的功能不等式的概述。 作为副产品,我们还为这种功能不等式提供了易诊条件,这是一个特定的重量对数SoboLev不等式的实例。 (c)2019 Elsevier Inc.保留所有权利。

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