Counting Short Vector Pairs by Inner Product and Relations to the Permanent
Abstract
Given as input two -element sets with and a target , we show how to count the number of pairs with integer inner product deterministically, in time. This demonstrates that one can solve this problem in deterministic subquadratic time almost up to dimensions, nearly matching the dimension bound of a subquadratic randomized detection algorithm of Alman and Williams [FOCS 2015]. We also show how to modify their randomized algorithm to count the pairs w.h.p., to obtain a fast randomized algorithm. Our deterministic algorithm builds on a novel technique of reconstructing a function from sum-aggregates by prime residues, which can be seen as an {\em additive} analog of the Chinese Remainder Theorem. As our second contribution, we relate the fine-grained complexity of the task of counting of vector pairs by inner product to the task of computing a zero-one matrix permanent over the integers.
Keywords
Cite
@article{arxiv.2007.14092,
title = {Counting Short Vector Pairs by Inner Product and Relations to the Permanent},
author = {Andreas Björklund and Petteri Kaski},
journal= {arXiv preprint arXiv:2007.14092},
year = {2020}
}