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Spectral inequalities in quantitative form

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arxiv 1604.05072 v1 pith:6DLMBSJM submitted 2016-04-18 math.SP math.APmath.FA

classification math.SPmath.APmath.FA
keywords inequalitiesquantitativeeigenvaluesformimprovementslaplacianresultsreview
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We review some results about quantitative improvements of sharp inequalities for eigenvalues of the Laplacian.

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Cited by 1 Pith paper

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  1. Parametrizing Convex Sets Using Sublinear Neural Networks

    math.OC 2026-05 unverdicted novelty 7.0 of 10

    Sublinear neural networks parametrize convex sets by learning their support and gauge functions, backed by a universal approximation theorem and tested on shape optimization tasks.

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