English

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 {±1}\{\pm 1\} or {0,1}\{0,1\}. 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.

Keywords

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

R2 v1 2026-06-23T10:36:24.100Z