随机游动
统计物理学
数学
计算机科学
物理
统计
作者
Élcio Lebensztayn,Vânia Rosa Pereira
标识
DOI:10.1080/00029890.2023.2274783
摘要
We consider the following stochastic process. Initially, there is a single particle placed at the origin of Z. This particle moves as a discrete-time simple random walk on Z, which takes one step to the right with probability p. Furthermore, the particle has a probability of death (1−α) before each step. Whenever this particle returns to the origin, it gives birth to a new particle, which performs the same dynamics. For which values of the pair (p,α) does this model survive with positive probability? Can we obtain the survival probability as a function of (p,α)? By answering these questions, we review some fundamental concepts and tools in probability, such as the return times of a simple random walk on the integers, probability generating functions, branching processes, and coupling.
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