The total variation distance between high-dimensional Gaussians with the same mean
Luc Devroye Thanks: Supported by NSERC Grant A3456. Affiliation: McGill University Abbas Mehrabian Thanks: Supported by an IVADO-Apogée-CFREF Postdoctoral Fellowship. Email: Affiliation: McGill University Tommy Reddad Thanks: Supported by NSERC PGS D Scholarship 396164433. Affiliation: McGill University
Abstract
Given two high-dimensional Gaussians with the same mean, we prove a lower and an upper bound for their total variation distance, which are within a constant factor of one another.11 1 In an earlier version, tight bounds were claimed for the total variation distance between two general Gaussians. But the proof of the upper bound was incorrect, and we removed the flawed bound from the paper. Later, Arbas, Ashtiani, and Liaw ([1, Theorem 1.8]) proved tight bounds for the total-variation distance between two general Gaussians, solving the original problem.
原文 arXiv:1810.08693;中英对照 + 大白话阅读 https://aha.fim.ai/paper/1810.08693v7