Tree-valued Fleming-Viot dynamics with mutation and selection
Andrej Depperschmidt, Andreas Greven, Peter Pfaffelhuber

TL;DR
This paper introduces a tree-valued extension of the Fleming-Viot process incorporating mutation and selection, capturing genealogical relations and analyzing long-term behavior with new mathematical tools.
Contribution
It develops a well-posed martingale problem for the tree-valued Fleming-Viot process with mutation and selection, and establishes ergodicity and genealogical distance properties.
Findings
Constructed the TFVMS process via finite population models.
Proved ergodicity of the process under certain conditions.
Derived an expansion for genealogical distances in the presence of weak selection.
Abstract
The Fleming-Viot measure-valued diffusion is a Markov process describing the evolution of (allelic) types under mutation, selection and random reproduction. We enrich this process by genealogical relations of individuals so that the random type distribution as well as the genealogical distances in the population evolve stochastically. The state space of this tree-valued enrichment of the Fleming-Viot dynamics with mutation and selection (TFVMS) consists of marked ultrametric measure spaces, equipped with the marked Gromov-weak topology and a suitable notion of polynomials as a separating algebra of test functions. The construction and study of the TFVMS is based on a well-posed martingale problem. For existence, we use approximating finite population models, the tree-valued Moran models, while uniqueness follows from duality to a function-valued process. Path properties of the resulting…
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