English

On the tensorization of the variational distance

Probability 2024-10-03 v2

Abstract

If one seeks to estimate the total variation between two product measures P1:nQ1:n||P^\otimes_{1:n}-Q^\otimes_{1:n}|| in terms of their marginal TV sequence δ=(P1Q1,P2Q2,,PnQn)\delta=(||P_1-Q_1||,||P_2-Q_2||,\ldots,||P_n-Q_n||), then trivial upper and lower bounds are provided byδP1:nQ1:nδ1 ||\delta||_\infty \le ||P^\otimes_{1:n}-Q^\otimes_{1:n}||\le||\delta||_1. We improve the lower bound to δ2P1:nQ1:n||\delta||_2\lesssim||P^\otimes_{1:n}-Q^\otimes_{1:n}||, thereby reducing the gap between the upper and lower bounds from n\sim n to \sim\sqrt . Furthermore, we show that {\em any} estimate on P1:nQ1:n||P^\otimes_{1:n}-Q^\otimes_{1:n}|| expressed in terms of δ\delta must necessarily exhibit a gap of n\sim\sqrt n between the upper and lower bounds in the worst case, establishing a sense in which our estimate is optimal. Finally, we identify a natural class of distributions for which δ2||\delta||_2 approximates the TV distance up to absolute multiplicative constants.

Keywords

Cite

@article{arxiv.2409.10368,
  title  = {On the tensorization of the variational distance},
  author = {Aryeh Kontorovich},
  journal= {arXiv preprint arXiv:2409.10368},
  year   = {2024}
}
R2 v1 2026-06-28T18:46:18.034Z