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Tensor network methods have proved to be highly effective in addressing a wide variety of physical scenarios, including those lacking an intrinsic one-dimensional geometry. In such contexts, it is possible for the problem to exhibit a weak…

We give unique recovery guarantees for matrices of bounded rank that have undergone permutations of their entries. We even do this for a more general matrix structure that we call ladder matrices. We use methods and results of commutative…

Information Theory · Computer Science 2022-07-25 Manolis C. Tsakiris

While dealing with the nontrivial task of classifying Mueller matrices, of special interest is the study of the degenerate Mueller matrices (matrices with vanishing determinant, for which the law of multiplication holds, but there exists no…

General Mathematics · Mathematics 2014-11-12 O. Veko , E. Ovsiyuk , A. Oana , M. Neagu , V. Balan , V. Red'kov

A symmetric tensor, which has a symmetric nonnegative decomposition, is called a completely positive tensor. We consider the completely positive tensor decomposition problem. A semidefinite algorithm is presented for checking whether a…

Optimization and Control · Mathematics 2014-11-20 Jinyan Fan , Anwa Zhou

We consider rank-one non-symmetric tensor estimation and derive simple formulas for the mutual information. We start by the order 2 problem, namely matrix factorization. We treat it completely in a simpler fashion than previous proofs using…

Information Theory · Computer Science 2018-11-28 Jean Barbier , Nicolas Macris , Léo Miolane

A novel factorization for the sum of two single-pair matrices is established as product of lower-triangular, tridiagonal, and upper-triangular matrices, leading to semi-closed-form formulas for tridiagonal matrix inversion. Subsequent…

Rings and Algebras · Mathematics 2024-03-01 Sebastien Bossu

The increasing demand for Fourier transforms on geometric algebras has resulted in a large variety. Here we introduce one single straight forward definition of a general geometric Fourier transform covering most versions in the literature.…

Algebraic Geometry · Mathematics 2013-06-11 Roxana Bujack , Gerik Scheuermann , Eckhard Hitzer

We define tensors, corresponding to cubic polynomials, which have the same exponent $\omega$ as the matrix multiplication tensor. In particular, we study the symmetrized matrix multiplication tensor $sM_n$ defined on an $n\times n$ matrix…

Algebraic Geometry · Mathematics 2018-04-04 Luca Chiantini , Jonathan D. Hauenstein , Christian Ikenmeyer , J. M. Landsberg , Giorgio Ottaviani

Tensor models are generalization of matrix models, and are studied as models of quantum gravity. It is shown that the symmetry of the rank-three tensor models is generated by a hierarchy of n-ary algebras starting from the usual commutator,…

High Energy Physics - Theory · Physics 2011-08-03 Naoki Sasakura

We consider an algebra of even-order square tensors and introduce a stretching map which allows us to represent tensors as matrices. The stretching map could be understood as a generalized matricization. It conserves algebraic properties of…

Representation Theory · Mathematics 2023-02-08 Vyacheslav Futorny , Mikhail Neklyudov , Kaiming Zhao

Any Hilbert space with composite dimension can be factorized into a tensor product of smaller Hilbert spaces. This allows to decompose a quantum system into subsystems. We propose a simple tractable model for a constructive study of…

Quantum Physics · Physics 2021-04-27 Vladimir V. Kornyak

We discuss permutation representations which are obtained by the natural action of $S_n \times S_n$ on some special sets of invertible matrices, defined by simple combinatorial attributes. We decompose these representations into…

Representation Theory · Mathematics 2007-05-23 Yona Cherniavsky , Eli Bagno

An infinite permutation is a linear order on the set N. We study the properties of infinite permutations generated by fixed points of some uniform binary morphisms, and find the formula for their complexity.

Discrete Mathematics · Computer Science 2011-08-19 Alexander Valyuzhenich

The $\star_M$-family of tensor-tensor products is a framework which generalizes many properties from linear algebra to third order tensors. Here, we investigate positive semidefiniteness and semidefinite programming under the…

Optimization and Control · Mathematics 2025-07-18 Alex Dunbar , Elizabeth Newman

Tensors, or multi-linear forms, are important objects in a variety of areas from analytics, to combinatorics, to computational complexity theory. Notions of tensor rank aim to quantify the "complexity" of these forms, and are thus also…

Computational Complexity · Computer Science 2023-06-16 Mandar Juvekar , Arian Nadjimzadah

We compute the number of ways a given permutation can be written as a product of exactly $k$ transpositions. We express this number as a linear combination of explicit geometric sequences, with coefficients which can be computed in many…

Combinatorics · Mathematics 2017-02-21 Michael Anshelevich , Matthew Gaikema , Madeline Hansalik , Songyu He , Nathan Mehlhop

We present general formulas for transverse and transverse-traceless (TT) symmetric tensors in flat spaces. TT tensors in conformally flat spaces can be obtained by means of a conformal transformation.

General Relativity and Quantum Cosmology · Physics 2020-02-24 J. Tafel

This work introduces a new class of symmetric matrix structures, called harmonic structures, which enable the generation of all possible directed transitions $(x_i, x_{i+1})$ over a set of $n$ symbols, without internal repetitions. Unlike…

Combinatorics · Mathematics 2025-06-23 Nicolás Agustín Martínez

It is well known that for a given Poisson structure one has infinitely many star products related through the Kontsevich gauge transformations. These gauge transformations have an infinite functional dimension (i.e., correspond to an…

High Energy Physics - Theory · Physics 2010-05-07 D. V. Vassilevich

This paper shows how to obtain a simple closed form for the elements of a triangular matrix raised to the nth power.

Combinatorics · Mathematics 2014-05-20 Walter Shur
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