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Autore principale: Abdurakhmanov, Jamolidin K.
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2601.18450
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author Abdurakhmanov, Jamolidin K.
author_facet Abdurakhmanov, Jamolidin K.
contents We investigate the existence of heavy columns in binary matrices with distinct rows. A column of an m x n binary matrix is called heavy if the number of ones in it is at least m/2. We introduce two recursive algorithms, A1 and A2, that examine properties of subma trices obtained by row filtering and column deletion. We prove that if algorithm A1 returns True for a binary matrix with distinct rows, then the matrix contains at least one heavy column (Theorem 1). Further more, we prove that if algorithm A2 returns True for a binary matrix with distinct rows, distinct columns, and no all-zero columns, then the matrix also contains at least one heavy column (Theorem 2). The key innovation in A2 is an early termination condition: if exactly one row has a zero in some column, that column is immediately identified as heavy. The proofs employ a novel argument based on the existence of unpaired rows with respect to specific columns, combined with careful analysis of the recursive structure of the algorithms.
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id arxiv_https___arxiv_org_abs_2601_18450
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On the existence of heavy columns in binary matrices with distinct rows
Abdurakhmanov, Jamolidin K.
Discrete Mathematics
We investigate the existence of heavy columns in binary matrices with distinct rows. A column of an m x n binary matrix is called heavy if the number of ones in it is at least m/2. We introduce two recursive algorithms, A1 and A2, that examine properties of subma trices obtained by row filtering and column deletion. We prove that if algorithm A1 returns True for a binary matrix with distinct rows, then the matrix contains at least one heavy column (Theorem 1). Further more, we prove that if algorithm A2 returns True for a binary matrix with distinct rows, distinct columns, and no all-zero columns, then the matrix also contains at least one heavy column (Theorem 2). The key innovation in A2 is an early termination condition: if exactly one row has a zero in some column, that column is immediately identified as heavy. The proofs employ a novel argument based on the existence of unpaired rows with respect to specific columns, combined with careful analysis of the recursive structure of the algorithms.
title On the existence of heavy columns in binary matrices with distinct rows
topic Discrete Mathematics
url https://arxiv.org/abs/2601.18450