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We make precise and prove a conjecture of Klivans about actions of the sandpile group on spanning trees. More specifically, the conjecture states that there exists a unique ``suitably nice'' sandpile torsor structure on plane graphs which…

组合数学 · 数学 2023-09-11 Ankan Ganguly , Alex McDonough

Random walk is one of the most classical and well-studied model in probability theory. For two correlated random walks on lattice, every step of the random walks has only two states, moving in the same direction or moving in the opposite…

概率论 · 数学 2018-08-17 Tianyao Chen , Xue Cheng , Jingping Yang

A Random walk labeling of a graph $G$ is any labeling of $G$ that could have been obtained by performing a random walk on $G$. Continuing two recent works, we calculate the number of random walk labelings of perfect trees, combs, and double…

组合数学 · 数学 2023-08-02 Sela Fried , Toufik Mansour

We consider random walks in which the walk originates in one set of nodes and then continues until it reaches one or more nodes in a target set. The time required for the walk to reach the target set is of interest in understanding the…

系统与控制 · 计算机科学 2019-01-11 Andrew Clark , Basel Alomair , Linda Bushnell , Radha Poovendran

The graph obtained from the integer grid Z x Z by the removal of all horizontal edges that do not belong to the x-axis is called a comb. In a random walk on a graph, whenever a walker is at a vertex v, in the next step it will visit one of…

概率论 · 数学 2013-09-26 János Pach , Gábor Tardos

Combs are a simple caricature of various types of natural branched structures, which belong to the category of loopless graphs and consist of a backbone and branches. We study continuous time random walks on combs and present a generic…

统计力学 · 物理学 2016-01-20 Vicenc Mendez , Alexander Iomin , Daniel Campos , Werner Horsthemke

Random walks represent an important tool for probing the structural and dynamical properties of networks and modeling transport and diffusion processes on networks. However, when individuals' movement becomes dictated by more complicated…

斑图形成与孤子 · 物理学 2022-11-24 Per Sebastian Skardal

Two-dimensional networks of ordered quantum dots beyond the percolation threshold are studied, as typical example of conducting nanostructures with quenched random disorder. Theory predicts anomalous diffusion with stretched-exponential…

统计力学 · 物理学 2016-01-06 Fabrizio Cleri

In a landscape composed of N randomly distributed sites in Euclidean space, a walker (``tourist'') goes to the nearest one that has not been visited in the last \tau steps. This procedure leads to trajectories composed of a transient part…

无序系统与神经网络 · 物理学 2010-06-10 O. Kinouchi , A. S. Martinez , G. F. Lima , G. M. Lourenco , S. Risau-Gusman

We consider random walks indexed by arbitrary finite random or deterministic trees. We derive a simple sufficient criterion which ensures that the maximal displacement of the tree-indexed random walk is determined by a single large jump.…

概率论 · 数学 2018-06-20 Pascal Maillard

We consider simple random walk on the incipient infinite cluster for the spread-out model of oriented percolation on $Z^d \times Z_+$. In dimensions $d>6$, we obtain bounds on exit times, transition probabilities, and the range of the…

概率论 · 数学 2007-09-01 Martin T. Barlow , Antal A. Jarai , Takashi Kumagai , Gordon Slade

Random walks on graphs can be slow. To speed them up, imagine that at each step instead of choosing the neighbor at random, there is a small probability $\varepsilon>0$ that we can choose it. We show that in this case, at least for graphs…

概率论 · 数学 2026-05-19 Boris Bukh , Quentin Dubroff

It is a celebrated fact that a simple random walk on an infinite $k$-ary tree for $k \geq 2$ returns to the initial vertex at most finitely many times during infinitely many transitions; it is called transient. This work points out the fact…

概率论 · 数学 2024-05-16 Shuma Kumamoto , Shuji Kijima , Tomoyuki Shirai

The node2vec random walk is a non-Markovian random walk on the vertex set of a graph, widely used for network embedding and exploration. This random walk model is defined in terms of three parameters which control the probability of,…

概率论 · 数学 2026-04-16 Luca Avena , Gianmarco Bet , Lars Schroeder , Clara Stegehuis

Motivated by the random Lorentz gas, we study deterministic walks in random environment and show that (in simple, yet relevant, cases) they can be reduced to a class of random walks in random environment where the jump probability depends…

概率论 · 数学 2020-01-23 Romain Aimino , Carlangelo Liverani

Paths are important structural elements in complex networks because they are finite (unlike walks), related to effective node coverage (minimum spanning trees), and can be understood as being dual to star connectivity. This article…

物理与社会 · 物理学 2007-12-05 Luciano da Fontoura Costa

In the past decade, the use of ordinal patterns in the analysis of time series and dynamical systems has become an important and rich tool. Ordinal patterns (otherwise known as a permutation patterns) are found in time series by taking $n$…

组合数学 · 数学 2014-12-03 Sergi Elizalde , Megan Martinez

We find that the simple coupling of network growth to the position of a random walker on the network generates a traveling wave in the probability distribution of nodes visited by the walker. We argue that the entropy of this probability…

物理与社会 · 物理学 2019-06-26 Robert J. H. Ross , Charlotte Strandkvist , Walter Fontana

We investigate the properties of a deterministic walk, whose locomotion rule is always to travel to the nearest site. Initially the sites are randomly distributed in a closed rectangular ($A/L \times L)$ landscape and, once reached, they…

无序系统与神经网络 · 物理学 2009-11-13 M. C. Santos , D. Boyer , O. Miramontes , G. M. Viswanathan , E. P. Raposo , J. L. Mateos , M. G. E. da Luz

We survey recent results on some one- and two-dimensional patterns generated by random permutations of natural numbers. In the first part, we discuss properties of random walks, evolving on a one-dimensional regular lattice in discrete time…

统计力学 · 物理学 2009-11-11 G. Oshanin , R. Voituriez , S. Nechaev , O. Vasilyev , F. Hivert