Multi-way dual Cheeger constants and spectral bounds of graphs
arXiv:1401.3147 · doi:10.1016/j.aim.2014.09.023
Abstract
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 phenomenon deduced from metrics on real projective spaces. We further extend those results to a general reversible Markov operator and find applications in characterizing its essential spectrum.
30 pages, 1 figure, revised; Theorem 6.4 added. Comments are welcome
References in corpus (2)
Cited by in corpus (11)
- Eigenvalue ratios of nonnegatively curved graphs
- Frustration index and Cheeger inequalities for discrete and continuous magnetic Laplacians
- Spectral distances on graphs
- Clustering Signed Networks with the Geometric Mean of Laplacians
- Cheeger constants, structural balance, and spectral clustering analysis for signed graphs
- Curvature and higher order Buser inequalities for the graph connection Laplacian
- An optimal dimension-free upper bound for eigenvalue ratios
- Cheeger estimates of Dirichlet-to-Neumann operators on infinite subgraphs of graphs
- Bipartite Communities
- Sharp Bounds on Eigenvalues via Spectral Embedding Based on Signless Laplacians
- Bipartite noisy hypercubes have large higher-order Cheeger separation