This paper studies lower and upper bounds for the number of vertices of the polytope of n x n x n stochastic tensors (i.e. triply stochastic arrays of dimension n). By using known results on polytopes (i.e. the Upper and Lower Bound Theorems), we present some new lower and upper bounds. We show that the new upper bound is tighter than the one recently obtained by Chang et al. [Ann Funct Anal. 2016;7(3):386–393] and also sharper than the one in Linial and Luria’s [Discrete Comput Geom. 2014;51(1);161–170]. We demonstrate that the analog of the lower bound obtained in such a way, however, is no better than the existing ones
$O(N)$ invariants are the observables of real tensor models. We use regular colored graphs to repres...
We study the large-N limit of a class of matrix models for dually weighted triangulated random surfa...
We discuss some constraints for the polytope of even doubly stochastic matrices and investigate some...
Considering n × n × n stochastic tensors (aijk)(i.e., nonnegative hypermatrices in which every sum o...
This paper is concerned with the extreme points of the polytopes of stochastic tensors. By a tensor ...
We begin with the definition of a tensor (in algebra) and then focus on the tensors by which we mean...
In optimization theory, many problems involve functions defined on convex sets, most of which are po...
In optimization theory, many problems involve functions defined on convex sets, most of which are po...
Estimating the number of vertices of a convex polytope defined by a system of linear inequalities is...
Abstract. Three-dimensional random tensor models are a natural general-ization of the celebrated mat...
Abstract. Three-dimensional random tensor models are a natural general-ization of the celebrated mat...
International audienceRandom polytopes have constituted some of the central objects of stochastic ge...
International audienceRandom polytopes have constituted some of the central objects of stochastic ge...
Lattice gauge theories of permutation groups with a simple topological action (henceforth permutatio...
Counting basic objects as the vertices of polyhedra is a demanding problem in general, even for the ...
$O(N)$ invariants are the observables of real tensor models. We use regular colored graphs to repres...
We study the large-N limit of a class of matrix models for dually weighted triangulated random surfa...
We discuss some constraints for the polytope of even doubly stochastic matrices and investigate some...
Considering n × n × n stochastic tensors (aijk)(i.e., nonnegative hypermatrices in which every sum o...
This paper is concerned with the extreme points of the polytopes of stochastic tensors. By a tensor ...
We begin with the definition of a tensor (in algebra) and then focus on the tensors by which we mean...
In optimization theory, many problems involve functions defined on convex sets, most of which are po...
In optimization theory, many problems involve functions defined on convex sets, most of which are po...
Estimating the number of vertices of a convex polytope defined by a system of linear inequalities is...
Abstract. Three-dimensional random tensor models are a natural general-ization of the celebrated mat...
Abstract. Three-dimensional random tensor models are a natural general-ization of the celebrated mat...
International audienceRandom polytopes have constituted some of the central objects of stochastic ge...
International audienceRandom polytopes have constituted some of the central objects of stochastic ge...
Lattice gauge theories of permutation groups with a simple topological action (henceforth permutatio...
Counting basic objects as the vertices of polyhedra is a demanding problem in general, even for the ...
$O(N)$ invariants are the observables of real tensor models. We use regular colored graphs to repres...
We study the large-N limit of a class of matrix models for dually weighted triangulated random surfa...
We discuss some constraints for the polytope of even doubly stochastic matrices and investigate some...