Binary Component Decomposition Part I: The Positive-Semidefinite Case
Data Structures and Algorithms
2019-08-01 v1 Metric Geometry
Optimization and Control
Statistics Theory
Statistics Theory
Abstract
This paper studies the problem of decomposing a low-rank positive-semidefinite matrix into symmetric factors with binary entries, either or . This research answers fundamental questions about the existence and uniqueness of these decompositions. It also leads to tractable factorization algorithms that succeed under a mild deterministic condition. A companion paper addresses the related problem of decomposing a low-rank rectangular matrix into a binary factor and an unconstrained factor.
Cite
@article{arxiv.1907.13603,
title = {Binary Component Decomposition Part I: The Positive-Semidefinite Case},
author = {Richard Kueng and Joel A. Tropp},
journal= {arXiv preprint arXiv:1907.13603},
year = {2019}
}
Comments
21(+4) pages, 3 figures