AbstractIf M is a subspace of a tensor product of vector spaces, A ⊕ B, we define r(M) = inf rank x(x ϵ M — {0}). (Several characterizations of the rank of a tensor are recalled in Section 1.) The main point of this note is to introduce this function r, and establish its basic properties under change of base field. We were originally led to the subject by a problem in the construction of some rather esoteric noncommutative rings ([1], Section 7), but in Section 3 we shall indicate a relation with the study of finite-dimensional algebras over a field. Perhaps this function will be found useful in still other areas
Tensors, or multi-linear forms, are important objects in a variety of areas from analytics, to combi...
We give a sufficient criterion for a lower bound of the cactus rank of a tensor. Then we refine th...
Tensor decompositions have been studied for nearly a century, but the well-known notion of tensor ra...
AbstractIf M is a subspace of a tensor product of vector spaces, A ⊕ B, we define r(M) = inf rank x(...
A new definition of rank for a tensor allows new decompositions for tensor algebras and some propert...
Let U denote a finite dimensional vector space over an algebraically closed field F . In this thesi...
Let U⊗V be a tensor product space over an algebraically closed field F ; let dim U = m and dim V = n...
Let $U$, $V$ and $W$ be finite dimensional vector spaces over the same field. The rank of a tensor $...
Let U, V be two vector spaces of dimensions n and m, respectively, over an algebraically closed fiel...
Let (Formula Presented) be a finite field of order q. This paper uses the classification in [7] of o...
Fortin and Reutenauer defined the non-commutative rank for a matrix with entries that are linear fun...
The tensor rank of a tensor is the smallest number r such that the tensor can be decomposed as a sum...
If r > 1 is an integer then U(r) denotes the vector space of r-fold symmetric tensors and Pr[U] is t...
AbstractThe concept of tensor rank was introduced in the 20s. In the 70s, when methods of Component ...
AbstractLet V1, …, Vm be inner product spaces and A a linear operator on V1 ⊗ ··· ⊗ Vm. Suppose that...
Tensors, or multi-linear forms, are important objects in a variety of areas from analytics, to combi...
We give a sufficient criterion for a lower bound of the cactus rank of a tensor. Then we refine th...
Tensor decompositions have been studied for nearly a century, but the well-known notion of tensor ra...
AbstractIf M is a subspace of a tensor product of vector spaces, A ⊕ B, we define r(M) = inf rank x(...
A new definition of rank for a tensor allows new decompositions for tensor algebras and some propert...
Let U denote a finite dimensional vector space over an algebraically closed field F . In this thesi...
Let U⊗V be a tensor product space over an algebraically closed field F ; let dim U = m and dim V = n...
Let $U$, $V$ and $W$ be finite dimensional vector spaces over the same field. The rank of a tensor $...
Let U, V be two vector spaces of dimensions n and m, respectively, over an algebraically closed fiel...
Let (Formula Presented) be a finite field of order q. This paper uses the classification in [7] of o...
Fortin and Reutenauer defined the non-commutative rank for a matrix with entries that are linear fun...
The tensor rank of a tensor is the smallest number r such that the tensor can be decomposed as a sum...
If r > 1 is an integer then U(r) denotes the vector space of r-fold symmetric tensors and Pr[U] is t...
AbstractThe concept of tensor rank was introduced in the 20s. In the 70s, when methods of Component ...
AbstractLet V1, …, Vm be inner product spaces and A a linear operator on V1 ⊗ ··· ⊗ Vm. Suppose that...
Tensors, or multi-linear forms, are important objects in a variety of areas from analytics, to combi...
We give a sufficient criterion for a lower bound of the cactus rank of a tensor. Then we refine th...
Tensor decompositions have been studied for nearly a century, but the well-known notion of tensor ra...