## Abstract

In [Ald00], Aldous investigates a symmetric Markov chain on cladograms and gives bounds on its mixing and relaxation times. The latter bound was sharpened in [Sch02]. In the present paper we encode cladograms as binary, algebraic measure trees and show that this Markov chain on cladograms with a fixed number of leaves converges in distribution as the number of leaves tends to infinity. We give a rigorous construction of the limit as the solution of a well-posed martingale problem. The existence of a continuum limit diffusion was conjectured by Aldous, and we therefore refer to it as Aldous diffusion. We show that the Aldous diffusion is a Feller process with continuous paths, and the algebraic measure Brownian CRT is its unique invariant distribution. Furthermore, we consider the vector of the masses of the three subtrees connected to a sampled branch point. In the Brownian CRT, its annealed law is known to be the Dirichlet distribution. Here, we give an explicit expression for the infinitesimal evolution of its quenched law under the Aldous diffusion.

Original language | English |
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Pages (from-to) | 1-27 |

Number of pages | 27 |

Journal | Annals of Probability |

Volume | 48 |

Issue number | 5 |

DOIs | |

State | Published - Sep 2020 |

## Keywords

- algebraic trees
- continuum tree
- Gromov-weak convergence
- martingale problem
- sample shape convergence
- tree-valued diffusion
- tree-valued Markov chain
- Wright-Fisher diffusion

## ASJC Scopus subject areas

- Statistics and Probability
- Statistics, Probability and Uncertainty