On Time Reversal of Piecewise Deterministic Markov Processes
Andreas L\"opker, Zbigniew Palmowski

TL;DR
This paper investigates the time reversal of stationary piecewise deterministic Markov processes (PDMPs), deriving the parameters of the reversed process such as jump intensity and measure, enhancing understanding of their temporal symmetries.
Contribution
It provides a general framework for characterizing the time-reversed process of stationary PDMPs, including explicit formulas for key parameters.
Findings
Derived formulas for jump intensity in reversed PDMPs
Characterized the jump measure of the reversed process
Extended understanding of temporal symmetry in PDMPs
Abstract
We study the time reversal of a general PDMP. The time reversed process is defined as , where is some given time and is a stationary PDMP. We obtain the parameters of the reversed process, like the jump intensity and the jump measure.
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Taxonomy
TopicsNumerical methods in inverse problems · Stochastic processes and financial applications · Advanced Mathematical Modeling in Engineering
