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arXiv · 2506.17433

Discrete Poincar\'e inequalities and universal approximators for random graphs

Dylan J. Altschuler·Pandelis Dodos·Konstantin Tikhomirov·Konstantinos Tyros
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Abstract

Nonlinear Poincar\'e inequalities are indispensable tools in the study of dimension reduction and low-distortion embeddings of graphs into metric spaces, and have found remarkable algorithmic applications. A basic open problem, posed by Jon Kleinberg (2013), asks whether the optimal nonlinear Poincar\'e constant for maps between two independent $3$-regular random graphs is dimension-free, i.e., independent of vertex-set sizes. We give a complete and affirmative resolution to Kleinberg's problem, also allowing for arbitrary graph degrees. As a corollary, we obtain a stochastic construction of $O(1)\text{-universal}$ approximators for random graphs, answering a question of Mendel and Naor.

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Dylan J. Altschuler, Pandelis Dodos, Konstantin Tikhomirov, Konstantinos Tyros. 2025-06-20. Discrete Poincar\'e inequalities and universal approximators for random graphs. https://arxiv.org/abs/2506.17433

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