Abstract
We determine that the continuous-state branching processes for which the genealogy, suitably time-changed, can be described by an autonomous Markov process are precisely those arising from $alpha$-stable branching mechanisms. The random ancestral partition is then a time-changed $Lambda$-coalescent, where $Lambda$ is the Beta-distribution with parameters $2-alpha$ and $alpha$, and the time change is given by $Z^1-alpha$, where $Z$ is the total population size. For $alpha = 2$ (Feller's branching diffusion) and $Lambda = delta_0$ (Kingman's coalescent), this is in the spirit of (a non-spatial version of) Perkins' Disintegration Theorem. For $alpha =1$ and $Lambda$ the uniform distribution on $0,1$, this is the duality discovered by Bertoin & Le Gall (2000) between the norming of Neveu's continuous state branching process and the Bolthausen-Sznitman coalescent.
We present two approaches: one, exploiting the `modified lookdown construction', draws heavily on Donnelly & Kurtz (1999); the other is based on direct calculations with generators.
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