Branching trees I: Concatenation and infinite divisibility

TL;DR

This paper introduces a framework for decomposing genealogies of populations into subfamilies using ultrametric measure spaces, defining infinite divisibility, and providing a Lévy-Khintchine representation for genealogical structures.

Contribution

It develops an algebraic structure on ultrametric measure spaces to analyze genealogies and introduces a notion of infinite divisibility for these structures, with a Lévy-Khintchine representation.

Findings

Defined infinite divisibility for genealogies as concatenation of i.i.d. h-forests.

Established a Lévy-Khintchine representation for infinitely divisible genealogies.

Applied the framework to spatial populations and specific models like Feller diffusion.

Abstract

The goal of this work is to decompose random populations with a genealogy in subfamilies of a given degree of kinship and to obtain a notion of infinitely divisible genealogies. We model the genealogical structure of a population by (equivalence classes of) ultrametric measure spaces (um-spaces) as elements of the Polish space U which we recall. In order to then analyze the family structure in this coding we introduce an algebraic structure on um-spaces (a consistent collection of semigroups). This allows us to obtain a path of collections of subfamilies of fixed kinship h (described as ultrametric measure spaces), for every depth h as a measurable functional of the genealogy. Random elements in the semigroup are studied, in particular infinitely divisible random variables. Here we define infinite divisibility of random genealogies as the property that the h-tops can be represented as concatenation of independent identically distributed h-forests for every h and obtain a Levy-Khintchine representation of this object and a corresponding representation via a concatenation of points of a Poisson point process of h-forests. Finally the case of discrete and marked um-spaces is treated allowing to apply the results to both the individual based and most important spatial populations. The results have various applications. In particular the case of the genealogical (U-valued) Feller diffusion and genealogical (U V -valued) super random walk is treated based on the present work in [DG18b] and [GRG]. In the part II of this paper we go in a different direction and refine the study in the case of continuum branching populations, give a refined analysis of the Laplace functional and give a representation in terms of a Cox process on h-trees, rather than forests.