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On the subgaussian comparison theorem

2025/12/21 by Ramon van Handel, van Handel, Ramon · 1 citation
Mathematics · Decision Sciences · #Point processes and geometric inequalities #Risk and Portfolio Optimization #Random Matrices and Applications

paper · doi:10.48550/arxiv.2512.18588

Abstract

The aim of this expository note is to prove that any 1-subgaussian random vector is dominated in the convex ordering by a universal constant times a standard Gaussian vector. This strengthens Talagrand's celebrated subgaussian comparison theorem. The proof combines a tensorization argument due to J. Liu with ideas that date back to the work of Fernique.

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