On merging of stochastic system of semi-Markov dynamics

dc.contributor.author	GOSWAMI, ANINDYA	en_US
dc.contributor.author	YADAV, RAVISHANKAR KAPILDEV	en_US
dc.date.accessioned	2025-12-29T06:40:47Z
dc.date.available	2025-12-29T06:40:47Z
dc.date.issued	2025-12	en_US
dc.identifier.citation	Stochastics, 1-17.	en_US
dc.identifier.issn	1744-2508	en_US
dc.identifier.uri	https://doi.org/10.1080/17442508.2025.2603360	en_US
dc.identifier.uri	http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10622
dc.description.abstract	Given a semi-Markov law, using an additional parameter, we consider a family of stochastic flows corresponding to that law. Then we suitably select a particular flow, for which we obtain expressions of the meeting and merging probabilities of a pair of semi-Markov processes, solving the same equation but having two different initial conditions. A set of sufficient conditions are also obtained under which any two solutions of the flow eventually merge with probability one.	en_US
dc.language.iso	en	en_US
dc.publisher	Taylor & Francis	en_US
dc.subject	Semi-Markov processes	en_US
dc.subject	Semi-Markov system	en_US
dc.subject	Merging probability	en_US
dc.subject	2025-DEC-WEEK4	en_US
dc.subject	TOC-DEC-2025	en_US
dc.subject	2025	en_US
dc.title	On merging of stochastic system of semi-Markov dynamics	en_US
dc.type	Article	en_US
dc.contributor.department	Dept. of Mathematics	en_US
dc.identifier.sourcetitle	Stochastics	en_US
dc.publication.originofpublisher	Foreign	en_US