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We give a new, simple construction of the $\alpha$-stable tree for $\alpha \in (1,2]$. We obtain it as the closure of an increasing sequence of $\mathbb{R}$-trees inductively built by gluing together line-segments one by one. The lengths of…

Probability · Mathematics 2014-07-23 Christina Goldschmidt , Bénédicte Haas

We establish a novel bijective encoding that represents permutations as forests of decorated (or enriched) trees. This allows us to prove local convergence of uniform random permutations from substitution-closed classes satisfying a…

Probability · Mathematics 2020-07-01 Jacopo Borga , Mathilde Bouvel , Valentin Féray , Benedikt Stufler

It is well-known that the height profile of a critical conditioned Galton-Watson tree with finite offspring variance converges, after a suitable normalization, to the local time of a standard Brownian excursion. In this work, we study the…

Probability · Mathematics 2021-06-22 Gabriel Berzunza Ojeda , Svante Janson

We study the diameter of L{\'e}vy trees that are random compact metric spaces obtained as the scaling limits of Galton-Watson trees. L{\'e}vy trees have been introduced by Le Gall and Le Jan (1998) and they generalise Aldous' Continuum…

Probability · Mathematics 2015-03-18 Thomas Duquesne , Minmin Wang

In this article it is shown that the Brownian motion on the continuum random tree is the scaling limit of the simple random walks on any family of discrete $n$-vertex ordered graph trees whose search-depth functions converge to the Brownian…

Probability · Mathematics 2012-10-24 David Croydon

For each $n \ge 1$, let $\mathrm{d}^n=(d^{n}(i),1 \le i \le n)$ be a sequence of positive integers with even sum $\sum_{i=1}^n d^n(i) \ge 2n$. Let $(G_n,T_n,\Gamma_n)$ be uniformly distributed over the set of simple graphs $G_n$ with degree…

Probability · Mathematics 2021-01-25 Louigi Addario-Berry , Jordan Barrett

The motivation for this paper is the study of the phase transition for recurrence/transience of a class of self-interacting random walks on trees, which includes the once-reinforced random walk. For this purpose, we define a quantity, that…

Probability · Mathematics 2018-10-18 Andrea Collevecchio , Daniel Kious , Vladas Sidoravicius

The branching-ruin number of a tree, which describes its asymptotic growth and geometry, can be seen as a polynomial version of the branching number. This quantity was defined by Collevecchio, Kious and Sidoravicius (2018) in order to…

Probability · Mathematics 2018-11-21 Andrea Collevecchio , Cong Bang Huynh , Daniel Kious

We prove limit theorems for sums of functions of subtrees of binary search trees and random recursive trees. In particular, we give simple new proofs of the fact that the number of fringe trees of size $ k=k_n $ in the binary search tree…

Probability · Mathematics 2014-06-27 Cecilia Holmgren , Svante Janson

Consider a family of random ordered graph trees $(T_n)_{n\geq 1}$, where $T_n$ has $n$ vertices. It has previously been established that if the associated search-depth processes converge to the normalised Brownian excursion when rescaled…

Probability · Mathematics 2012-10-24 David A. Croydon

In a deterministic or random tree, a notion of ancestral diversity can be defined as follows. Sample independently $n$ groups of $k$ leaves and count the number $N_n(k)$ of distinct most recent common ancestors of each of the groups. As $n$…

Probability · Mathematics 2025-12-18 Bénédicte Haas , Grégory Miermont

We study random trees which are invariant in law under the operation of contracting each edge independently with probability $p\in(0,1)$. We show that all such trees can be constructed through Poissonian sampling from a certain class of…

Probability · Mathematics 2018-06-20 Olivier Hénard , Pascal Maillard

We analyze a class of spatial random spanning trees built on a realization of a homogeneous Poisson point process of the plane. This tree has a simple radial structure with the origin as its root. We first use stochastic geometry arguments…

Probability · Mathematics 2007-05-23 Francois Baccelli , Charles Bordenave

We prove that critical multitype Galton-Watson trees converge after rescaling to the Brownian continuum random tree, under the hypothesis that the offspring distribution has finite covariance matrices. Our study relies on an ancestral…

Probability · Mathematics 2016-08-16 Grégory Marc Miermont

The Aldous--Broder algorithm provides a way of sampling a uniformly random spanning tree for finite connected graphs using simple random walk. Namely, start a simple random walk on a connected graph and stop at the cover time. The tree…

Probability · Mathematics 2021-03-29 Yiping Hu , Russell Lyons , Pengfei Tang

We introduce a resetting Brownian bridge as a simple model to study search processes where the total search time $t_f$ is finite and the searcher returns to its starting point at $t_f$. This is simply a Brownian motion with a Poissonian…

Statistical Mechanics · Physics 2022-05-23 Benjamin De Bruyne , Satya N. Majumdar , Gregory Schehr

Motivated by a down-up Markov chain on cladograms, David Aldous conjectured in 1999 that there exists a "diffusion on continuum trees" whose mass partitions at any finite number of branch points evolve as Wright-Fisher diffusions with some…

Probability · Mathematics 2023-05-30 Noah Forman , Soumik Pal , Douglas Rizzolo , Matthias Winkel

We introduce the concept of Random Sequential Renormalization (RSR) for arbitrary networks. RSR is a graph renormalization procedure that locally aggregates nodes to produce a coarse grained network. It is analogous to the (quasi-)parallel…

Statistical Mechanics · Physics 2011-03-24 Golnoosh Bizhani , Vishal Sood , Maya Paczuski , Peter Grassberger

In [Aldous,Pitman,1998] a tree-valued Markov chain is derived by pruning off more and more subtrees along the edges of a Galton-Watson tree. More recently, in [Abraham,Delmas,2012], a continuous analogue of the tree-valued pruning dynamics…

Probability · Mathematics 2015-11-26 Wolfgang Löhr , Guillaume Voisin , Anita Winter

Space partitioning methods such as random forests and the Mondrian process are powerful machine learning methods for multi-dimensional and relational data, and are based on recursively cutting a domain. The flexibility of these methods is…

Machine Learning · Statistics 2019-12-03 Shufei Ge , Shijia Wang , Yee Whye Teh , Liangliang Wang , Lloyd T. Elliott