Jump processes as generalized gradient flows

CALCULUS OF VARIATIONS AND PARTIAL DIFFERENTIAL EQUATIONS(2022)

引用 28|浏览7
暂无评分
摘要
We have created a functional framework for a class of non-metric gradient systems. The state space is a space of nonnegative measures, and the class of systems includes the Forward Kolmogorov equations for the laws of Markov jump processes on Polish spaces. This framework comprises a definition of a notion of solutions, a method to prove existence, and an archetype uniqueness result. We do this by using only the structure that is provided directly by the dissipation functional, which need not be homogeneous, and we do not appeal to any metric structure.
更多
查看译文
关键词
34K30, 35A15, 35D99, 45K99, 47G20
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要