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We introduce a new spanning tree model called the random spanning tree in random environment (RSTRE), which interpolates between the uniform spanning tree and the minimum spanning tree as the inverse temperature (disorder strength) $\beta$…

Probability · Mathematics 2026-05-19 Luca Makowiec , Michele Salvi , Rongfeng Sun

For any edge weight distribution, we consider the uniform spanning tree (UST) on finite graphs with i.i.d. random edge weights. We show that, for bounded degree expander graphs and finite boxes of ${\mathbb Z}^d$, the diameter of the UST is…

Probability · Mathematics 2024-10-23 Luca Makowiec , Michele Salvi , Rongfeng Sun

We study a model of random weighted uniform spanning trees on the complete graph with $n$ vertices, where each edge is assigned a weight of $n^{1+\gamma}$ with probability $1/n$ and $1$ otherwise. Whenever $\gamma$ is large enough, we prove…

Probability · Mathematics 2025-12-29 Umberto De Ambroggio , Luca Makowiec

We study the edge overlap and local limit of the random spanning tree in random environment (RSTRE) on the complete graph with $n$ vertices and weights given by $\exp(-\beta \omega_e)$ for $\omega_e$ uniformly distributed on $[0,1]$. We…

Probability · Mathematics 2026-05-19 Luca Makowiec

The global structure of the minimal spanning tree (MST) is expected to be universal for a large class of underlying random discrete structures. However, very little is known about the intrinsic geometry of MSTs of most standard models, and…

Probability · Mathematics 2021-06-01 Louigi Addario-Berry , Sanchayan Sen

We prove that the local limit of the weighted spanning trees on any simple connected high degree almost regular sequence of electric networks is the Poisson(1) branching process conditioned to survive forever, by generalizing [NP22] and…

Probability · Mathematics 2026-01-01 Ágnes Kúsz

We consider a uniform spanning tree in a $\delta$-square grid approximation of a planar domain $\Omega$. For given integer $n\ge 2$, we condition the tree on the following $n$-arm event: we pick $n$ branches, emanating from $n$ points…

Probability · Mathematics 2025-12-24 Nathanaël Berestycki , Marcin Lis , Mingchang Liu , Eveliina Peltola

We study a new type of random minimum spanning trees. It is built on the complete graph where each vertex is given a weight, which is a positive real number. Then, each edge is given a capacity which is a random variable that only depends…

Probability · Mathematics 2020-12-04 Othmane Safsafi

A well-known open problem on the behavior of optimal paths in random graphs in the strong disorder regime, formulated by statistical physicists, and supported by a large amount of numerical evidence over the last decade [31,32,38,70] is as…

Probability · Mathematics 2024-01-15 Shankar Bhamidi , Sanchayan Sen

In the complete graph on n vertices, when each edge has a weight which is an exponential random variable, Frieze proved that the minimum spanning tree has weight tending to zeta(3)=1/1^3+1/2^3+1/3^3+... as n goes to infinity. We consider…

Probability · Mathematics 2012-06-08 Omer Angel , Abraham D. Flaxman , David B. Wilson

Consider the minimum spanning tree (MST) of the complete graph with n vertices, when edges are assigned independent random weights. Endow this tree with the graph distance renormalized by n^{1/3} and with the uniform measure on its…

Probability · Mathematics 2013-01-09 Louigi Addario-Berry , Nicolas Broutin , Christina Goldschmidt , Grégory Miermont

The minimum spanning tree (MST) is a combinatorial optimization problem: given a connected graph with a real weight ("cost") on each edge, find the spanning tree that minimizes the sum of the total cost of the occupied edges. We consider…

Statistical Mechanics · Physics 2010-02-26 T. S. Jackson , N. Read

In a complete graph $K_n$ with edge weights drawn independently from a uniform distribution $U(0,1)$ (or alternatively an exponential distribution $\operatorname{Exp}(1)$), let $T_1$ be the MST (the spanning tree of minimum weight) and let…

Combinatorics · Mathematics 2019-06-05 Svante Janson , Gregory B. Sorkin

Consider~\(n\) nodes~\(\{X_i\}_{1 \leq i \leq n}\) independently distributed in the unit square~\(S,\) each according to a distribution~\(f\) and let~\(K_n\) be the complete graph formed by joining each pair of nodes by a straight line…

Probability · Mathematics 2023-05-15 Ghurumuruhan Ganesan

We study the minimum spanning tree problem on the complete graph $K_n$ where an edge $e$ has a weight $W_e$ and a cost $C_e$, each of which is an independent copy of the random variable $U^\gamma$ where $\gamma\leq 1$ and $U$ is the uniform…

Combinatorics · Mathematics 2021-06-01 Alan Frieze , Tomasz Tkocz

There are numerous randomized algorithms to generate spanning trees in a given ambient graph; several target the uniform distribution on trees (UST), while in practice the fastest and most frequently used draw random weights on the edges…

Discrete Mathematics · Computer Science 2026-04-29 Eric Babson , Moon Duchin , Annina Iseli , Pietro Poggi-Corradini , Dylan Thurston , Jamie Tucker-Foltz

In this thesis, we study a new disordered system called random spanning tree in random environment (RSTRE) across different families of graphs with varying disorder distributions. We examine several observables as functions of the disorder…

Probability · Mathematics 2025-07-11 Luca Makowiec

We study the asymptotic behavior of four statistics associated with subtrees of complete graphs: the uniform probability $p_n$ that a random subtree is a spanning tree of $K_n$, the weighted probability $q_n$ (where the probability a…

Combinatorics · Mathematics 2013-08-22 Alex J. Chin , Gary Gordon , Kellie J. MacPhee , Charles Vincent

We give an $m^{1+o(1)}\beta^{o(1)}$-time algorithm for generating a uniformly random spanning tree in an undirected, weighted graph with max-to-min weight ratio $\beta$. We also give an $m^{1+o(1)}\epsilon^{-o(1)}$-time algorithm for…

Data Structures and Algorithms · Computer Science 2017-11-20 Aaron Schild

We study the problem of detecting and recovering a planted spanning tree $M_n^*$ hidden within a complete, randomly weighted graph $G_n$. Specifically, each edge $e$ has a non-negative weight drawn independently from $P_n$ if $e \in M_n^*$…

Data Structures and Algorithms · Computer Science 2025-07-08 Mehrdad Moharrami , Cristopher Moore , Jiaming Xu
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