Weak KAM theory for action minimizing random walks

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作者
Kohei Soga
机构
[1] Keio University,Department of Mathematics, Faculty of Science and Technology
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37J50; 49L25; 60G50; 65M06;
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摘要
We introduce a class of controlled random walks on a grid in Td\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\mathbb {T}}}^d$$\end{document} and investigate global properties of action minimizing random walks for a certain action functional together with Hamilton–Jacobi equations on the grid. This yields an analogue of weak KAM theory, which recovers a part of original weak KAM theory through the hyperbolic scaling limit.
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