Spectral gap with polynomial rate for random covering surfaces
Will Hide, Davide Macera, Joe Thomas

TL;DR
This paper demonstrates that random covers of hyperbolic surfaces have a spectral gap with a polynomial rate, improving understanding of eigenvalue distributions in geometric analysis.
Contribution
It applies recent theoretical work to establish an optimal polynomial rate for the spectral gap in random hyperbolic surface covers.
Findings
Spectral gap with polynomial error rate established
No new eigenvalues below a certain threshold with high probability
Results hold for large degree covers as n approaches infinity
Abstract
In this note we show that the recent work of Magee, Puder and van Handel [MPvH25] can be applied to obtain an optimal spectral gap result with polynomial error rate for uniformly random covers of closed hyperbolic surfaces. Let be a closed hyperbolic surface. We show there exists such that a uniformly random degree- cover of has no new Laplacian eigenvalues below with probability tending to as .
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