Title
Finding Cheeger Cuts in Hypergraphs via Heat Equation.
Abstract
Cheegeru0027s 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 $O(sqrt{phi_G})$, where $phi_G$ is the minimum conductance of a set in $G$. It has recently been shown that Cheegeru0027s inequality can be extended to hypergraphs. However, as the normalized Laplacian of a hypergraph is no longer a matrix, we can only approximate to its eigenvectors; this causes a loss in the conductance of the obtained subset. To address this problem, we here consider the heat equation on hypergraphs, which is a differential equation exploiting the normalized Laplacian. We show that the heat equation has a unique solution and that we can extract a subset with conductance $sqrt{phi_G}$ from the solution. An analogous result also holds for directed graphs.
Year
Venue
Field
2018
arXiv: Data Structures and Algorithms
Discrete mathematics,Differential equation,Combinatorics,Constraint graph,Hypergraph,Directed graph,Heat equation,Conductance,Eigenvalues and eigenvectors,Mathematics,Laplace operator
DocType
Volume
Citations 
Journal
abs/1809.04396
0
PageRank 
References 
Authors
0.34
10
4
Name
Order
Citations
PageRank
Masahiro Ikeda123.75
Atsushi Miyauchi2267.64
Yuuki Takai320.72
Yuichi Yoshida48111.63