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We define a new stochastic process on general simplicial complexes which allows to study their spectral and homological properties. Some results for random walks on graphs are shown to hold in this general setting. As an application, the…

Probability · Mathematics 2014-12-18 Ron Rosenthal

Random walks on regular bounded degree expander graphs have numerous applications. A key property of these walks is that they converge rapidly to the uniform distribution on the vertices. The recent study of expansion of high dimensional…

Computational Complexity · Computer Science 2016-06-07 Tali Kaufman , David Mass

We study high order random walks in high dimensional expanders; namely, in complexes which are local spectral expanders. Recent works have studied the spectrum of high order walks and deduced fast mixing. However, the spectral gap of high…

Combinatorics · Mathematics 2021-08-12 Tali Kaufman , Izhar Oppenheim

Focusing on coupling between edges, we generalize the relationship between the normalized graph Laplacian and random walks on graphs by devising an appropriate normalization for the Hodge Laplacian -- the generalization of the graph…

Social and Information Networks · Computer Science 2020-05-08 Michael T. Schaub , Austin R. Benson , Paul Horn , Gabor Lippner , Ali Jadbabaie

Random shapes arise naturally in many contexts. The topological and geometric structure of such objects is interesting for its own sake, and also for applications. In physics, for example, such objects arise naturally in quantum gravity, in…

Combinatorics · Mathematics 2016-07-26 Matthew Kahle

In this paper, we introduce random walks with absorbing states on simplicial complexes. Given a simplicial complex of dimension $d$, a random walk with an absorbing state is defined which relates to the spectrum of the $k$-dimensional…

Combinatorics · Mathematics 2013-10-21 Sayan Mukherjee , John Steenbergen

Random walks on bounded degree expander graphs have numerous applications, both in theoretical and practical computational problems. A key property of these walks is that they converge rapidly to their stationary distribution. In this work…

Computational Complexity · Computer Science 2016-09-15 Tali Kaufman , David Mass

Random walks on graphs are a fundamental concept in graph theory and play a crucial role in solving a wide range of theoretical and applied problems in discrete math, probability, theoretical computer science, network science, and machine…

Spectral Theory · Mathematics 2023-11-21 Marzieh Eidi , Sayan Mukherjee

We introduce a novel operator to describe a random walk process on a simplicial complex. Walkers are allowed to wonder across simplices of various dimensions, bridging nodes to edges, and edges to triangles, via a nested organization that…

Statistical Mechanics · Physics 2026-05-21 Diego Febbe , Duccio Fanelli , Timoteo Carletti

Many signals evolve in time as a stochastic process, randomly switching between states over discretely sampled time points. Here we make an explicit link between the underlying stochastic process of a signal that can take on a bounded…

Machine Learning · Statistics 2026-05-11 Stefan Klus , Jason J. Bramburger

Determining and analyzing the spectra of graphs is an important and exciting research topic in theoretical computer science. The eigenvalues of the normalized Laplacian of a graph provide information on its structural properties and also on…

Combinatorics · Mathematics 2016-05-20 Pinchen Xie , Zhongzhi Zhang , Francesc Comellas

The paper surveys recent progress in understanding geometric, topological and combinatorial properties of large simplicial complexes, focusing mainly on ampleness, connectivity and universality. In the first part of the paper we concentrate…

Combinatorics · Mathematics 2023-01-19 Michael Farber

We present an elementary way to transform an expander graph into a simplicial complex where all high order random walks have a constant spectral gap, i.e., they converge rapidly to the stationary distribution. As an upshot, we obtain new…

Discrete Mathematics · Computer Science 2019-11-22 Siqi Liu , Sidhanth Mohanty , Elizabeth Yang

For a fixed dimension $k\ge 1$, let us consider the randomly growing simplical complex on the vertex set $\{1,2,\dots,n\}$ defined as follows: We start with the empty complex, and for each $k+1$-element subset $\sigma$ of $\{1,2,\dots,n\}$,…

Probability · Mathematics 2025-11-25 András Mészáros

There are a lot of recent works on generalizing the spectral theory of graphs and graph partitioning to hypergraphs. There have been two broad directions toward this goal. One generalizes the notion of graph conductance to hypergraph…

Data Structures and Algorithms · Computer Science 2023-10-04 Anand Louis , Rameesh Paul , Arka Ray

It is well known that the spectral gap of the down-up walk over an $n$-partite simplicial complex (also known as Glauber dynamics) cannot be better than $O(1/n)$ due to natural obstructions such as coboundaries. We study an alternative…

Discrete Mathematics · Computer Science 2026-05-13 Vedat Levi Alev , Ori Parzanchevski

It is shown explicitly how self-similar graphs can be obtained as `blow-up' constructions of finite cell graphs $\hat C$. This yields a larger family of graphs than the graphs obtained by discretising continuous self-similar fractals. For a…

Combinatorics · Mathematics 2007-05-23 Bernhard Krön , Elmar Teufl

The theory of $k$-regular graphs is closely related to group theory. Every $k$-regular, bipartite graph is a Schreier graph with respect to some group $G$, a set of generators $S$ (depending only on $k$) and a subgroup $H$. The goal of this…

Combinatorics · Mathematics 2016-07-27 Alexander Lubotzky , Zur Luria , Ron Rosenthal

We introduce a technique using nonbacktracking random walk for estimating the spectral radius of simple random walk. This technique relates the density of nontrivial cycles in simple random walk to that in nonbacktracking random walk. We…

Probability · Mathematics 2018-09-10 Russell Lyons , Yuval Peres

Simplicial complexes can be viewed as high dimensional generalizations of graphs that explicitly encode multi-way ordered relations between vertices at different resolutions, all at once. This concept is central towards detection of higher…

Machine Learning · Computer Science 2022-07-05 Alexandros Dimitrios Keros , Vidit Nanda , Kartic Subr
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