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Research PaperResearchia:202604.17028

Two-Sided Bounds for Entropic Optimal Transport via a Rate-Distortion Integral

Jingbo Liu

Abstract

We show that the maximum expected inner product between a random vector and the standard normal vector over all couplings subject to a mutual information constraint or regularization is equivalent to a truncated integral involving the rate-distortion function, up to universal multiplicative constants. The proof is based on a lifting technique, which constructs a Gaussian process indexed by a random subset of the type class of the probability distribution involved in the information-theoretic ine...

Submitted: April 17, 2026Subjects: Statistics; Data Science

Description / Details

We show that the maximum expected inner product between a random vector and the standard normal vector over all couplings subject to a mutual information constraint or regularization is equivalent to a truncated integral involving the rate-distortion function, up to universal multiplicative constants. The proof is based on a lifting technique, which constructs a Gaussian process indexed by a random subset of the type class of the probability distribution involved in the information-theoretic inequality, and then applying a form of the majorizing measure theorem.


Source: arXiv:2604.14061v1 - http://arxiv.org/abs/2604.14061v1 PDF: https://arxiv.org/pdf/2604.14061v1 Original Link: http://arxiv.org/abs/2604.14061v1

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Date:
Apr 17, 2026
Topic:
Data Science
Area:
Statistics
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