Affiliation:
1. LMAM and School of Mathematical Sciences, Peking University, 100871 Beijing, P. R. China
Abstract
Inspired by persistent homology in topological data analysis, we introduce the homological eigenvalues of the graph [Formula: see text]-Laplacian [Formula: see text], which allows us to analyze and classify non-variational eigenvalues. We show the stability of homological eigenvalues, and we prove that for any homological eigenvalue [Formula: see text], the function [Formula: see text] is locally increasing, while the function [Formula: see text] is locally decreasing. As a special class of homological eigenvalues, the min–max eigenvalues [Formula: see text] are locally Lipschitz continuous with respect to [Formula: see text]. We also establish the monotonicity of [Formula: see text] and [Formula: see text] with respect to [Formula: see text]. These results systematically establish a refined analysis of [Formula: see text]-eigenvalues for varying [Formula: see text], which lead to several applications, including: (1) settle an open problem by Amghibech on the monotonicity of some function involving eigenvalues of [Formula: see text]-Laplacian with respect to [Formula: see text]; (2) resolve a question asking whether the third eigenvalue of graph [Formula: see text]-Laplacian is of min–max form; (3) refine the higher-order Cheeger inequalities for graph [Formula: see text]-Laplacians by Tudisco and Hein, and extend the multi-way Cheeger inequality by Lee, Oveis Gharan and Trevisan to the [Formula: see text]-Laplacian case. Furthermore, for the 1-Laplacian case, we characterize the homological eigenvalues and min–max eigenvalues from the perspective of topological combinatorics, where our idea is similar to the authors’ work on discrete Morse theory.
Publisher
World Scientific Pub Co Pte Ltd
Subject
Geometry and Topology,Analysis
Cited by
2 articles.
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