Markov operators generated by symmetric measures
Sergey Bezuglyi, Palle E.T. Jorgensen

TL;DR
This paper establishes a correspondence between symmetric positive measures and generalized Markov transition measures, analyzing their spectral properties and potential theoretic aspects, including harmonic functions and Green's functions, in a broad setting.
Contribution
It introduces a novel explicit correspondence between symmetric measures and generalized Markov transition measures, extending spectral and potential theory analysis beyond classical reversible processes.
Findings
Established a measure-theoretic correspondence between symmetric measures and Markov transition measures
Analyzed spectral properties of associated operators in specialized $L^2$ spaces
Developed a potential theoretic framework including energy spaces and Green's functions
Abstract
With view to applications, we here give an explicit correspondence between the following two: (i) the set of symmetric and positive measures on one hand, and (ii) a certain family of generalized Markov transition measures , with their associated Markov random walk models, on the other. By a generalized Markov transition measure we mean a measurable and measure-valued function on , such that for every is a probability measure on ). Hence, with the use of our correspondence (i) - (ii), we study generalized Markov transitions and path-space dynamics. Given , we introduce an associated operator, also denoted by , and we analyze its spectral theoretic properties with reference to a system of precise spaces. Our setting is more general than that of earlier treatments of reversible Markov processes. In a…
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Taxonomy
TopicsMathematical Analysis and Transform Methods · Mathematical and Theoretical Analysis · Mathematical Dynamics and Fractals
