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Related papers: Expected hitting time estimates on finite graphs

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We prove a refined version of the Aldous and Brown's exponential approximation of stationary hitting times. These are valid for all reversible Markov chains. We then specialise our estimates for vertex-transitive graphs, where we obtain…

Probability · Mathematics 2026-01-08 Nathanaël Berestycki , Jonathan Hermon , Lucas Teyssier

Hyperbolicity measures, in terms of (distance) metrics, how close a given graph is to being a tree. Due to its relevance in modeling real-world networks, hyperbolicity has seen intensive research over the last years. Unfortunately, the best…

Computational Complexity · Computer Science 2017-02-22 Till Fluschnik , Christian Komusiewicz , George B. Mertzios , André Nichterlein , Rolf Niedermeier , Nimrod Talmon

We derive an approximate but explicit formula for the Mean First Passage Time of a random walker between a source and a target node of a directed and weighted network. The formula does not require any matrix inversion, and it takes as only…

Statistical Mechanics · Physics 2021-11-10 Silvia Bartolucci , Fabio Caccioli , Francesco Caravelli , Pierpaolo Vivo

Given a hypergraph $\mathcal{H}$, the $\mathcal{H}$-bootstrap process starts with an initial set of infected vertices of $\mathcal{H}$ and, at each step, a healthy vertex $v$ becomes infected if there exists a hyperedge of $\mathcal{H}$ in…

Combinatorics · Mathematics 2020-10-08 Natasha Morrison , Jonathan A. Noel

This paper analyzes the meeting time between a pair of pursuer and evader performing random walks on digraphs. The existing bounds on the meeting time usually work only for certain classes of walks and cannot be used to formulate…

Robotics · Computer Science 2019-12-06 Xiaoming Duan , Mishel George , Rushabh Patel , Francesco Bullo

Let $G$ be a regular graph and $H$ a subgraph on the same vertex set. We give surprisingly compact formulas for the number of copies of $H$ one expects to find in a random subgraph of $G$.

Combinatorics · Mathematics 2025-06-26 Aaron Abrams , Rod Canfield , Andrew Granville

Consider a random graph G in G(n,p) and the graph property: G contains a copy of a specific graph H. (Note: H depends on n; a motivating example: H is a Hamiltonian cycle.) Let q be the minimal value for which the expected number of copies…

Combinatorics · Mathematics 2007-05-23 Jeff Kahn , Gil Kalai

We consider a simple random walk on the T-fractal and we calculate the exact mean time $\tau^g$ to first reach the central node $i_0$. The mean is performed over the set of possible walks from a given origin and over the set of starting…

Data Analysis, Statistics and Probability · Physics 2008-02-18 E. Agliari

In the standard random graph process, edges are added to an initially empty graph one by one uniformly at random. A classic result by Ajtai, Koml\'os, and Szemer\'edi, and independently by Bollob\'as, states that in the standard random…

Combinatorics · Mathematics 2026-03-24 Seonghyuk Im , Minseo Kim

In this work, we study a family of random geometric graphs on hyperbolic spaces. In this setting, N points are chosen randomly on a hyperbolic space and any two of them are joined by an edge with probability that depends on their hyperbolic…

Combinatorics · Mathematics 2012-05-15 Nikolaos Fountoulakis

We provide conditions that classify cover times for sequences of random walks on random graphs into two types: One type (Type 1) is the class of cover times that are of the order of the maximal hitting times scaled by the logarithm of the…

Probability · Mathematics 2015-11-03 Yoshihiro Abe

Probabilistic zero forcing is a coloring game played on a graph where the goal is to color every vertex blue starting with an initial blue vertex set. As long as the graph is connected, if at least one vertex is blue then eventually all of…

Combinatorics · Mathematics 2022-01-13 Shyam Narayanan , Alec Sun

Consider a system of coalescing random walks where each individual performs random walk over a finite graph G, or (more generally) evolves according to some reversible Markov chain generator Q. Let C be the first time at which all walkers…

Probability · Mathematics 2010-12-17 Roberto Imbuzeiro Oliveira

Consider the random $u$-uniform hypergraph (or $u$-graph) process on $n$ vertices, where $n$ is divisible by $r>u\ge 2$. It was recently shown that with high probability, as soon as every vertex is covered by a copy of the complete…

Combinatorics · Mathematics 2024-10-23 Fabian Burghart , Marc Kaufmann , Noela Müller , Matija Pasch

We study Hamiltonicity in random subgraphs of the hypercube $\mathcal{Q}^n$. Our first main theorem is an optimal hitting time result. Consider the random process which includes the edges of $\mathcal{Q}^n$ according to a uniformly chosen…

Combinatorics · Mathematics 2022-08-16 Padraig Condon , Alberto Espuny Díaz , António Girão , Daniela Kühn , Deryk Osthus

For random walks on networks (graphs), it is a theoretical challenge to explicitly determine the mean first-passage time (MFPT) between two nodes averaged over all pairs. In this paper, we study the MFPT of random walks in the famous…

Statistical Mechanics · Physics 2009-10-27 Zhongzhi Zhang , Yuan Lin , Shuigeng Zhou , Bin Wu , Jihong Guan

The burning number of a graph $G$ is the smallest number $b$ such that the vertices of $G$ can be covered by balls of radii $0, 1, \dots, b-1$. As computing the burning number of a graph is known to be NP-hard, even on trees, it is natural…

Combinatorics · Mathematics 2023-09-07 Anders Martinsson

We consider the range of random walks up to time n, R_n, on graphs satisfying a uniform condition. This condition is characterized by potential theory. Not only all vertex transitive graphs but also many non-regular graphs satisfy the…

Probability · Mathematics 2014-07-28 Kazuki Okamura

Hung and Chang showed that for all k>=1 an interval graph has a path cover of size at most k if and only if its scattering number is at most k. They also showed that an interval graph has a Hamilton cycle if and only if its scattering…

Data Structures and Algorithms · Computer Science 2013-01-28 Hajo Broersma , Jiří Fiala , Petr A. Golovach , Tomáš Kaiser , Daniël Paulusma , Andrzej Proskurowski

We analyze a class of distributed quantized consensus algorithms for arbitrary static networks. In the initial setting, each node in the network has an integer value. Nodes exchange their current estimate of the mean value in the network,…

Systems and Control · Computer Science 2016-11-18 Shang Shang , Paul Cuff , Pan Hui , Sanjeev Kulkarni
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