A finite difference method for piecewise deterministic Markov processes

Fuente: arXiv
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1. Verfasser: Annunziato, Mario
Format: Preprint
Veröffentlicht: 2006
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_version_ 1866918162943967232
author Annunziato, Mario
author_facet Annunziato, Mario
contents An extension of non-deterministic processes driven by the random telegraph signal is introduced in the framework of "piecewise deterministic Markov processes" [Davis], including a broader category of random systems. The corresponding Liouville-Master Equation is established and the upwind method is applied to numerical calculation of the distribution function. The convergence of the numerical solution is proved under an appropriate Courant-Friedrichs-Lewy condition. The same condition preserve the non-decreasing property of the calculated distribution function. Some numerical tests are presented.
format Preprint
id arxiv_https___arxiv_org_abs_math_0606588
institution arXiv
publishDate 2006
record_format arxiv
spellingShingle A finite difference method for piecewise deterministic Markov processes
Annunziato, Mario
Numerical Analysis
65-06; 65M06; 65M12; 60K40; 60J25; 60J75
An extension of non-deterministic processes driven by the random telegraph signal is introduced in the framework of "piecewise deterministic Markov processes" [Davis], including a broader category of random systems. The corresponding Liouville-Master Equation is established and the upwind method is applied to numerical calculation of the distribution function. The convergence of the numerical solution is proved under an appropriate Courant-Friedrichs-Lewy condition. The same condition preserve the non-decreasing property of the calculated distribution function. Some numerical tests are presented.
title A finite difference method for piecewise deterministic Markov processes
topic Numerical Analysis
65-06; 65M06; 65M12; 60K40; 60J25; 60J75
url https://arxiv.org/abs/math/0606588