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.
Connections
Explore this paper’s authors, topics and related work.
Building this map preview
BZPEER is loading the nearby papers, people, topics and institutions for this page.
Reviews 0
Write a review
No reviews yet.
Discussion 0
Add a comment
No comments yet.