On the discrepancy of strongly unimodular matrices
Hua Peng, Catherine H. Yan
Abstract
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Hua Peng, Catherine H. Yan
Abstract
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A (0,1) matrix A is strongly unimodular if A is totally unimodular and every matrix obtained from A by setting a non-zero entry to 0 is also totally unimodular. Here we consider the linear discrepancy of strongly unimodular matrices. It was proved by Lováz et al. (J. Combin. 7 (1986) 151–160) that for any matrix A, (1)lindisc(A)⩽herdisc(A).When A is the incidence matrix of a set-system, a stronger inequality holds: For any family H of subsets of {1,2,…,n},lindisc(H)⩽(1−tn)herdisc(H),where tn⩾2−2n (Spencer, Ten Lectures on the Probabilistric Method, 2nd Edition, CBMS-NSF Regional Conferences Series in Applied Mathematics, 1994). In this paper we prove that the constant tn can be improved to 3−(n+1)/2 for strongly unimodular matrices.
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A (0,1) matrix A is strongly unimodular if A is totally unimodular and every matrix obtained from A by setting a non-zero entry to 0 is also totally unimodular. Here we consider the linear discrepancy of strongly unimodular matrices. It was proved by Lováz et al. (J. Combin. 7 (1986) 151–160) that for any matrix A, (1)lindisc(A)⩽herdisc(A).When A is the incidence matrix of a set-system, a stronger inequality holds: For any family H of subsets of {1,2,…,n},lindisc(H)⩽(1−tn)herdisc(H),where tn⩾2−2n (Spencer, Ten Lectures on the Probabilistric Method, 2nd Edition, CBMS-NSF Regional Conferences Series in Applied Mathematics, 1994). In this paper we prove that the constant tn can be improved to 3−(n+1)/2 for strongly unimodular matrices.
Key concepts: Unimodular matrix, Mathematics, Combinatorics, Matrix (chemical analysis), Incidence matrix, Constant (computer programming), Integer matrix, Zero (linguistics)