Eigenvalue ratios of nonnegatively curved graphs
Shiping Liu, Norbert Peyerimhoff

TL;DR
This paper establishes an optimal eigenvalue ratio estimate for finite weighted graphs with nonnegative curvature, providing a new method for spectral analysis and insights into graph construction and expanders.
Contribution
It introduces a size-independent eigenvalue ratio estimate for graphs satisfying $CD(0, olinebreak\infty)$ and demonstrates how Cartesian products can generate such graphs.
Findings
Optimal eigenvalue ratio estimate derived
Cartesian products effectively construct $CD(0, olinebreak\\infty)$ graphs
Higher order Cheeger constant ratio estimates discussed
Abstract
We derive an optimal eigenvalue ratio estimate for finite weighted graphs satisfying the curvature-dimension inequality . This estimate is independent of the size of the graph and provides a general method to obtain higher order spectral estimates. The operation of taking Cartesian products is shown to be an efficient way for constructing new weighted graphs satisfying . We also discuss a higher order Cheeger constant ratio estimate and related topics about expanders.
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