Multidimensional permanents of polystochastic matrices
Abstract
A -dimensional matrix is called \emph{-polystochastic} if it is non-negative and the sum over each line equals~. Such a matrix that has a single in each line and zeros elsewhere is called a \emph{-permutation} matrix. A \emph{diagonal} of a -dimensional matrix of order is a choice of elements, no two in the same hyperplane. The \emph{permanent} of a -dimensional matrix is the sum over the diagonals of the product of the elements within the diagonal. For a given order and dimension , the set of -polystochastic matrices forms a convex polytope that includes the -permutation matrices within its set of vertices. For even and odd , we give a construction for a class of -permutation matrices with zero permanent. Consequently, we show that the set of -polystochastic matrices with zero permanent contains at least -permutation matrices and contains a polytope of dimension at least for fixed and even . We also provide counterexamples to a conjecture by Taranenko about the location of local extrema of the permanent. For odd , we give a construction of -permutation matrices that decompose into a convex linear sum of positive diagonals. These combine with a theorem of Taranenko to provide counterexamples to a conjecture by Dow and Gibson generalising van der Waerden's conjecture to higher dimensions.
Cite
@article{arxiv.2004.14148,
title = {Multidimensional permanents of polystochastic matrices},
author = {Billy Child and Ian M. Wanless},
journal= {arXiv preprint arXiv:2004.14148},
year = {2020}
}