A generating function approach to Markov chains undergoing binomial catastrophes

DOI10.1088/1742-5468/abdfcbzbMath1504.60124arXiv2101.03851OpenAlexW3135851394MaRDI QIDQ5857562

Branda Goncalves, Thierry E. Huillet

Publication date: 1 April 2021

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.03851

zbMATH Keywords

stochastic processespopulation dynamicsgrowth processesexact results

Mathematics Subject Classification ID

Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items

Null recurrence and transience for a binomial catastrophe model in random environment ⋮ Keeping random walks safe from extinction and overpopulation in the presence of life-taking disasters

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