Transition probabilities for degenerate diffusions arising in population genetics
Analysis of PDEs
2017-07-27 v2 Probability
Abstract
We provide a detailed description of the structure of the transition probabilities and of the hitting distributions of boundary components of a manifold with corners for a degenerate strong Markov process arising in population genetics. The Markov processes that we study are a generalization of the classical Wright-Fisher process. The main ingredients in our proofs are based on the analysis of the regularity properties of solutions to a forward Kolmogorov equation defined on a compact manifold with corners, which is degenerate in the sense that it is not strictly elliptic and the coefficients of the first order drift term have mild logarithmic singularities.
Cite
@article{arxiv.1608.02119,
title = {Transition probabilities for degenerate diffusions arising in population genetics},
author = {Charles L. Epstein and Camelia A. Pop},
journal= {arXiv preprint arXiv:1608.02119},
year = {2017}
}
Comments
52 pages