On the survival of a class of subcritical branching processes in random environment
Vincent Bansaye (CMAP), Vladimir Vatutin

TL;DR
This paper analyzes the asymptotic survival probability of a class of subcritical branching processes in random environments with heavy-tailed offspring distributions, establishing exponential decay with polynomial corrections and a Yaglom limit.
Contribution
It derives the asymptotic survival probability and a Yaglom type limit theorem for subcritical BPREs with heavy-tailed environmental effects, extending existing results to this class.
Findings
Survival probability decreases exponentially with polynomial correction.
Established a Yaglom type conditional limit theorem.
Analyzed the behavior of a conditioned heavy-tailed random walk.
Abstract
Let be the number of individuals in a subcritical BPRE evolving in the environment generated by iid probability distributions. Let be the logarithm of the expected offspring size per individual given the environment. Assuming that the density of has the form for some a slowly varying function and we find the asymptotic survival probability and prove a Yaglom type conditional limit theorem for the process. The survival probability decreases exponentially with an additional polynomial term related to the tail of . The proof relies on a fine study of a random walk (with negative drift and heavy tails) conditioned to stay positive until time and to have a small positive value at time , with tending to infinity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Theoretical and Computational Physics
