2024/03/04 by Anton A. Kutsenko, Kutsenko, Anton A. · 2 citations
Mathematics · Biochemistry, Genetics and Molecular Biology · #Stochastic processes and statistical mechanics #Diffusion and Search Dynamics
paper · pdf · doi:10.48550/arxiv.2403.02252
For branching processes, the generating functions for limit distributions of so-called ratios of probabilities of rare events satisfy the Schröder-type integral-functional equations. Excepting limited special cases, the corresponding equations can not be solved analytically. I found a large class of Poisson-type offspring distributions, for which the Schröder-type functional equations can be solved analytically. Moreover, for the asymptotics of limit distributions, the power and constant factor can be written explicitly. As a bonus, Bernoulli branching processes in random environments are treated. The beauty of this example is that the explicit formula for the generating function is unknown. Still, the closed-form expression for the power and constant factor in the asymptotic can be written with the help of some outstanding tricks. Also, the asymptotic expansion contains oscillatory terms absent in the Poisson case. It is shown that at the power 3 in the Bernoulli binomial kernels short-phase discrete oscillations turn into long-phase continuous ones.