Chalmers Conferences, 9th European Conference on Mathematical and Theoretical Biology

Let Markov chains evolve along genealogies
Vincent Bansaye

Last modified: 2014-03-28


We consider a branching model in discrete time where each individual is characterized by  a trait. Both the reproduction law and the trait inherited by the offsprings may depend on the trait of the mother and the environment. We study the long time behavior of the population and the ancestral lineage of typical individuals under general assumptions, which we specify for applications to some models motivated by biology. Our results focus on the growth rate, the trait distribution among the population for large time, and we tackle the  local densities and the position of extremal individuals. Motivations come from random transmission models for cell division, reproduction dispersion dynamics or evolution. The approach consists in comparing the branching Markov chain to  well chosen (possibly non-homogeneous) Markov chains.