Open Access
Translator Disclaimer
August 2018 Mutations on a random binary tree with measured boundary
Jean-Jil Duchamps, Amaury Lambert
Ann. Appl. Probab. 28(4): 2141-2187 (August 2018). DOI: 10.1214/17-AAP1353


Consider a random real tree whose leaf set, or boundary, is endowed with a finite mass measure. Each element of the tree is further given a type, or allele, inherited from the most recent atom of a random point measure (infinitely-many-allele model) on the skeleton of the tree. The partition of the boundary into distinct alleles is the so-called allelic partition.

In this paper, we are interested in the infinite trees generated by supercritical, possibly time-inhomogeneous, binary branching processes, and in their boundary, which is the set of particles “coexisting at infinity”. We prove that any such tree can be mapped to a random, compact ultrametric tree called the coalescent point process, endowed with a “uniform” measure on its boundary which is the limit as $t\to\infty$ of the properly rescaled counting measure of the population at time $t$.

We prove that the clonal (i.e., carrying the same allele as the root) part of the boundary is a regenerative set that we characterize. We then study the allelic partition of the boundary through the measures of its blocks. We also study the dynamics of the clonal subtree, which is a Markovian increasing tree process as mutations are removed.


Download Citation

Jean-Jil Duchamps. Amaury Lambert. "Mutations on a random binary tree with measured boundary." Ann. Appl. Probab. 28 (4) 2141 - 2187, August 2018.


Received: 1 January 2017; Revised: 1 September 2017; Published: August 2018
First available in Project Euclid: 9 August 2018

zbMATH: 06974748
MathSciNet: MR3843826
Digital Object Identifier: 10.1214/17-AAP1353

Primary: 05C05 , 60J80
Secondary: 54E45 , 60G51 , 60G55 , 60G57 , 60K15 , 92D10

Keywords: allelic partition , branching process , Coalescent point process , random point measure , Regenerative set , tree-valued process

Rights: Copyright © 2018 Institute of Mathematical Statistics


Vol.28 • No. 4 • August 2018
Back to Top