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 in terms of their marginal TV sequence , then trivial upper and lower bounds are provided by. We improve the lower bound to , thereby reducing the gap between the upper and lower bounds from to \sim\sqrt . Furthermore, we show that {\em any} estimate on expressed in terms of must necessarily exhibit a gap of 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 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}
}