Eigenvalue bounds, spectral partitioning, and metrical deformations via flows
Punyashloka Biswal, James R. Lee, Satish Rao

TL;DR
This paper introduces a flow-based method for bounding the second eigenvalue of graph Laplacians, leading to new spectral partitioning bounds and separator results for minor-free graphs without relying on conformal mappings.
Contribution
The authors develop a flow-based approach to bound eigenvalues, extending spectral partitioning techniques to minor-free graphs and providing new separator bounds without conformal mapping methods.
Findings
Bound the second eigenvalue using multi-commodity flows.
Show spectral partitioning yields small separators in minor-free graphs.
Extend bounds to graphs excluding small-depth minors.
Abstract
We present a new method for upper bounding the second eigenvalue of the Laplacian of graphs. Our approach uses multi-commodity flows to deform the geometry of the graph; we embed the resulting metric into Euclidean space to recover a bound on the Rayleigh quotient. Using this, we show that every -vertex graph of genus and maximum degree satisfies . This recovers the bound of Spielman and Teng for planar graphs, and compares to Kelner's bound of , but our proof does not make use of conformal mappings or circle packings. We are thus able to extend this to resolve positively a conjecture of Spielman and Teng, by proving that whenever is -minor free. This shows, in particular, that spectral partitioning can be used to recover -sized separators in bounded degree…
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Taxonomy
TopicsAdvanced Graph Theory Research · Graph theory and applications · Markov Chains and Monte Carlo Methods
