The process of most recent common ancestors in an evolving coalescent

dc.creatorPfaffelhuber, P.
dc.creatorWakolbinger, A.
dc.date2005-11-30
dc.date2006-04-17
dc.date.accessioned2026-07-07T06:51:56Z
dc.date.available2026-07-07T06:51:56Z
dc.descriptionConsider a haploid population which has evolved through an exchangeable reproduction dynamics, and in which all individuals alive at time $t$ have a most recent common ancestor (MRCA) who lived at time $A_t$, say. As time goes on, not only the population but also its genealogy evolves: some families will get lost from the population and eventually a new MRCA will be established. For a time-stationary situation and in the limit of infinite population size $N$ with time measured in $N$ generations, i.e. in the scaling of population genetics which leads to Fisher-Wright diffusions and Kingman's coalescent, we study the process $\mathcal A = (A_t)$ whose jumps form the point process of time pairs $(E,B)$ when new MRCAs are established and when they lived. By representing these pairs as the entrance and exit time of particles whose trajectories are embedded in the look-down graph of Donnelly and Kurtz (1999) we can show by exchangeability arguments that the times $E$ as well as the times $B$ from a Poisson process. Furthermore, the particle representation helps to compute various features of the MRCA process, such as the distribution of the coalescent at the instant when a new MRCA is established, and the distribution of the number of MRCAs to come that live in today's past.
dc.identifierhttps://arxiv.org/abs/math/0511743
dc.identifierhttp://arxiv.org/abs/math/0511743
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/105153
dc.subjectProbability
dc.subjectPopulations and Evolution
dc.subject60K35
dc.titleThe process of most recent common ancestors in an evolving coalescent
dc.typetext

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