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We develop a nonlinear spectral graph theory, in which the Laplace operator is replaced by the 1-Laplacian ?$\Delta_1$. The eigenvalue problem is to solve a nonlinear system involving a set valued function. In the study, we investigate the…

Spectral Theory · Mathematics 2016-10-31 Kung Ching Chang

We study the eigenvalues of the connection Laplacian on a graph with an orthogonal group or unitary group signature. We establish higher order Buser type inequalities, i.e., we provide upper bounds for eigenvalues in terms of Cheeger…

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

A basic fact in spectral graph theory is that the number of connected components in an undirected graph is equal to the multiplicity of the eigenvalue zero in the Laplacian matrix of the graph. In particular, the graph is disconnected if…

Metric Geometry · Mathematics 2014-11-24 James R. Lee , Shayan Oveis Gharan , Luca Trevisan

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

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 introduce a family of multi-way Cheeger-type constants $\{h_k^{\sigma}, k=1,2,\ldots, n\}$ on a signed graph $\Gamma=(G,\sigma)$ such that $h_k^{\sigma}=0$ if and only if $\Gamma$ has $k$ balanced connected components. These constants…

Combinatorics · Mathematics 2019-12-09 Fatihcan M. Atay , Shiping Liu

Laplacian Eigenvectors of the graph constructed from a data set are used in many spectral manifold learning algorithms such as diffusion maps and spectral clustering. Given a graph constructed from a random sample of a $d$-dimensional…

Machine Learning · Statistics 2015-10-29 Xu Wang

A basic fact in algebraic graph theory is that the number of connected components in an undirected graph is equal to the multiplicity of the eigenvalue 1 in the normalized adjacency matrix of the graph. In particular, the graph is…

Data Structures and Algorithms · Computer Science 2011-12-09 Shayan Oveis Gharan , Luca Trevisan

Given an undirected graph $G$, the classical Cheeger constant, $h_G$, measures the optimal partition of the vertices into 2 parts with relatively few edges between them based upon the sizes of the parts. The well-known Cheeger's inequality…

Combinatorics · Mathematics 2015-03-02 Franklin Kenter , Mary Radcliffe

We propose a flexible framework for defining the 1-Laplacian of a hypergraph that incorporates edge-dependent vertex weights. These weights are able to reflect varying importance of vertices within a hyperedge, thus conferring the…

Machine Learning · Computer Science 2023-05-02 Yu Zhu , Boning Li , Santiago Segarra

In this paper we introduce a Cheeger-type constant defined as a minimization of a suitable functional among all the $N$-clusters contained in an open bounded set $\Omega$. Here with $N$-Cluster we mean a family of $N$ sets of finite…

Analysis of PDEs · Mathematics 2017-03-31 Marco Caroccia

Nonlinear reformulations of the spectral clustering method have gained a lot of recent attention due to their increased numerical benefits and their solid mathematical background. We present a novel direct multiway spectral clustering…

Machine Learning · Computer Science 2021-11-29 Dimosthenis Pasadakis , Christie Louis Alappat , Olaf Schenk , Gerhard Wellein

The eigenvectors for graph $1$-Laplacian possess some sort of localization property: On one hand, any nodal domain of an eigenvector is again an eigenvector with the same eigenvalue; on the other hand, one can pack up an eigenvector for a…

Spectral Theory · Mathematics 2017-01-04 K. C. Chang , Sihong Shao , Dong Zhang

We introduce submodular hypergraphs, a family of hypergraphs that have different submodular weights associated with different cuts of hyperedges. Submodular hypergraphs arise in clustering applications in which higher-order structures carry…

Machine Learning · Computer Science 2018-10-12 Pan Li , Olgica Milenkovic

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

All graphs considered are simple and undirected. The Inverse Eigenvalue Problem of a Graph $G$ (IEP-G) aims to find all possible spectra for matrices whose $(i,j)-$entry, for $i\neq j$, is nonzero precisely when $i$ is adjacent to $j$. A…

Combinatorics · Mathematics 2023-03-20 Roberto C. Díaz , Ana I. Julio

In this paper, we study eigenvalues and eigenfunctions of $p$-Laplacians with Dirichlet boundary condition on graphs. We characterize the first eigenfunction (and the maximum eigenfunction for a bipartite graph) via the sign condition. By…

Spectral Theory · Mathematics 2018-12-27 Bobo Hua , Lili Wang

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

Let \phi(G) be the minimum conductance of an undirected graph G, and let 0=\lambda_1 <= \lambda_2 <=... <= \lambda_n <= 2 be the eigenvalues of the normalized Laplacian matrix of G. We prove that for any graph G and any k >= 2, \phi(G) =…

Data Structures and Algorithms · Computer Science 2013-01-24 Tsz Chiu Kwok , Lap Chi Lau , Yin Tat Lee , Shayan Oveis Gharan , Luca Trevisan

For a regular polyhedron (or polygon) centered at the origin, the coordinates of the vertices are eigenvectors of the graph Laplacian for the skeleton of that polyhedron (or polygon) associated with the first (non-trivial) eigenvalue. In…

Optimization and Control · Mathematics 2022-06-22 Braxton Osting
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