Support of extremal doubly stochastic arrays

Mark Mordechai Etkind, Nir Lev

Research output: Contribution to journalArticlepeer-review

Abstract

An n × m array with nonnegative entries is called doubly stochastic if the sum of its entries at each row is m and at each column is n. The set of all n × m doubly stochastic arrays is a convex polytope with finitely many extremal points. The main result of this paper characterizes the possible sizes of the supports of all extremal n × m doubly stochastic arrays. In particular we prove that the minimal size of the support of an n × m doubly stochastic array is n + m − gcd(n, m). Moreover, for m = kn + 1 we also characterize the structure of the support of the extremal arrays.

Original languageEnglish
JournalIsrael Journal of Mathematics
DOIs
StateAccepted/In press - 2025

All Science Journal Classification (ASJC) codes

  • General Mathematics

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