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The classical Cheeger's inequality relates the edge conductance $\phi$ of a graph and the second smallest eigenvalue $\lambda_2$ of the Laplacian matrix. Recently, Olesker-Taylor and Zanetti discovered a Cheeger-type inequality $\psi^2 /…

Data Structures and Algorithms · Computer Science 2022-09-20 Tsz Chiu Kwok , Lap Chi Lau , Kam Chuen Tung

The Cheeger inequality for undirected graphs, which relates the conductance of an undirected graph and the second smallest eigenvalue of its normalized Laplacian, is a cornerstone of spectral graph theory. The Cheeger inequality has been…

Data Structures and Algorithms · Computer Science 2018-10-15 Yuichi Yoshida

We prove two generalizations of the Cheeger's inequality. The first generalization relates the second eigenvalue to the edge expansion and the vertex expansion of the graph G, $\lambda_2 = \Omega(\phi^V(G) \phi(G))$, where $\phi^V(G)$…

Data Structures and Algorithms · Computer Science 2015-04-06 Tsz Chiu Kwok , Lap Chi Lau , Yin Tat Lee

The celebrated Cheeger's Inequality \cite{am85,a86} establishes a bound on the expansion of a graph via its spectrum. This inequality is central to a rich spectral theory of graphs, based on studying the eigenvalues and eigenvectors of the…

Discrete Mathematics · Computer Science 2014-10-31 Anand Louis

The celebrated Cheeger's Inequality establishes a bound on the edge expansion of a graph via its spectrum. This inequality is central to a rich spectral theory of graphs, based on studying the eigenvalues and eigenvectors of the adjacency…

Discrete Mathematics · Computer Science 2016-05-06 T-H. Hubert Chan , Anand Louis , Zhihao Gavin Tang , Chenzi Zhang

We relate the nontrivial singular values $\sigma_2,\ldots,\sigma_n$ of the normalized adjacency matrix of an Eulerian directed graph to combinatorial measures of graph expansion: \\ 1. We introduce a new directed analogue of conductance…

Combinatorics · Mathematics 2025-08-26 Jake Ruotolo , Salil Vadhan

We consider a new semidefinite programming relaxation for directed edge expansion, which is obtained by adding triangle inequalities to the reweighted eigenvalue formulation. Applying the matrix multiplicative weight update method to this…

Data Structures and Algorithms · Computer Science 2023-06-16 Lap Chi Lau , Kam Chuen Tung , Robert Wang

The Cheeger constant of a graph, or equivalently its coboundary expansion, quantifies the expansion of the graph. This notion assumes an implicit choice of a coefficient group, namely, $\mathbb{F}_2$. In this paper, we study Cheeger-type…

Combinatorics · Mathematics 2025-04-29 Uriya A. First , Tali Kaufman

In spectral graph theory, the Cheeger's inequality gives upper and lower bounds of edge expansion in normal graphs in terms of the second eigenvalue of the graph's Laplacian operator. Recently this inequality has been extended to undirected…

Discrete Mathematics · Computer Science 2017-11-07 T-H. Hubert Chan , Zhihao Gavin Tang , Xiaowei Wu , Chenzi Zhang

For graphs there exists a strong connection between spectral and combinatorial expansion properties. This is expressed, e.g., by the discrete Cheeger inequality, the lower bound of which states that $\lambda(G) \leq h(G)$, where…

Combinatorics · Mathematics 2015-01-12 Anna Gundert , May Szedlák

Hypergraphs naturally arise when studying group relations and have been widely used in the field of machine learning. To the best of our knowledge, the recently proposed edge-dependent vertex weights (EDVW) modeling is one of the most…

Social and Information Networks · Computer Science 2026-02-24 Zihao Li , Dongqi Fu , Hengyu Liu , Jingrui He

Cheeger's inequality states that a tightly connected subset can be extracted from a graph $G$ using an eigenvector of the normalized Laplacian associated with $G$. More specifically, we can compute a subset with conductance…

Data Structures and Algorithms · Computer Science 2019-09-12 Masahiro Ikeda , Atsushi Miyauchi , Yuuki Takai , Yuichi Yoshida

In this paper we study spectra of Laplacians of infinite weighted graphs. Instead of the assumption of local finiteness we impose the condition of summability of the weight function. Such graphs correspond to reversible Markov chains with…

Combinatorics · Mathematics 2022-08-26 Michael Farber , Lewin Strauss

In this paper we extend the known results of analytic connectivity to non-uniform hypergraphs. We prove a modified Cheeger's inequality and also give a bound on analytic connectivity with respect to the degree sequence and diameter of a…

Discrete Mathematics · Computer Science 2017-01-18 Ashwin Guha , Muni Sreenivas Pydi , Biswajit Paria , Ambedkar Dukkipati

We derive an optimal eigenvalue ratio estimate for finite weighted graphs satisfying the curvature-dimension inequality $CD(0,\infty)$. This estimate is independent of the size of the graph and provides a general method to obtain higher…

Spectral Theory · Mathematics 2019-04-03 Shiping Liu , Norbert Peyerimhoff

A mixed graph $G$ is a graph that consists of both undirected and directed edges. An orientation of $G$ is formed by orienting all the undirected edges of $G$, i.e., converting each undirected edge $\{u,v\}$ into a directed edge that is…

Data Structures and Algorithms · Computer Science 2024-04-15 Loukas Georgiadis , Dionysios Kefallinos , Evangelos Kosinas

We introduce a set of multi-way dual Cheeger constants and prove universal higher-order dual Cheeger inequalities for eigenvalues of normalized Laplace operators on weighted finite graphs. Our proof proposes a new spectral clustering…

Spectral Theory · Mathematics 2014-10-14 Shiping Liu

Cheeger's fundamental inequality states that any edge-weighted graph has a vertex subset $S$ such that its expansion (a.k.a. conductance) is bounded as follows: \[ \phi(S) \defeq \frac{w(S,\bar{S})}{\min \set{w(S), w(\bar{S})}} \leq…

Data Structures and Algorithms · Computer Science 2015-03-19 Anand Louis , Prasad Raghavendra , Prasad Tetali , Santosh Vempala

The graph Cheeger constant and Cheeger inequalities are generalized to the case of hypergraphs whose edges have the same cardinality. In particular, it is shown that the second largest eigenvalue of the generalized normalized Laplacian is…

Combinatorics · Mathematics 2021-06-08 Raffaella Mulas

The Cheeger constant, $h_G$, is a measure of expansion within a graph. The classical Cheeger Inequality states: $\lambda_{1}/2 \le h_G \le \sqrt{2 \lambda_{1}}$ where $\lambda_1$ is the first nontrivial eigenvalue of the normalized…

Combinatorics · Mathematics 2014-12-11 Franklin H. J. Kenter
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