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Consider a compact Riemannian manifold in dimension $n$ with strictly convex boundary. We show the local invertibility near a boundary point of the transverse ray transform of $2$ tensors for $n\geq 3$ and the mixed ray transform of $2+2$…

Differential Geometry · Mathematics 2024-02-21 Gunther Uhlmann , Jian Zhai

In many applications such as data compression, imaging or genomic data analysis, it is important to approximate a given tensor by a tensor that is sparsely representable. For matrices, i.e. 2-tensors, such a representation can be obtained…

Numerical Analysis · Mathematics 2008-05-29 S. Friedland , V. Mehrmann

The variational inclusion of spin-orbit coupling in self-consistent field (SCF) calculations requires a generalised two-component framework, which permits the single-determinant wave function to completely break spin symmetry. The…

Chemical Physics · Physics 2023-03-29 Shadan Ghassemi Tabrizi , R. Rodríguez-Guzmán , Carlos A. Jiménez-Hoyos

We introduce an algorithm to decide isomorphism between tensors. The algorithm uses the Lie algebra of derivations of a tensor to compress the space in which the search takes place to a so-called densor space. To make the method practicable…

Rings and Algebras · Mathematics 2022-08-19 Peter A. Brooksbank , Joshua Maglione , James B. Wilson

In this paper, I present a technique to simplify the tensorial reduction of one-loop integrals with arbitrary internal masses, but at least two massless external legs. By applying the method to rank l tensor integrals, one ends up with at…

High Energy Physics - Phenomenology · Physics 2009-10-28 R. Pittau

Tensor distributions and their derivatives are described without assuming the presence of a metric. This provides a natural framework for discussing tensor distributions on manifolds with degenerate metrics, including in particular metrics…

General Relativity and Quantum Cosmology · Physics 2009-10-30 Tevian Dray

Tensor network decompositions offer an efficient description of certain many-body states of a lattice system and are the basis of a wealth of numerical simulation algorithms. In a recent paper [arXiv:0907.2994v1] we discussed how to…

Strongly Correlated Electrons · Physics 2011-06-01 Sukhwinder Singh , Robert N. C. Pfeifer , Guifre Vidal

The tensor product of $L$ copies of a single vector, such as $p_{i_1} ... p_{i_L}$, can be analyzed in terms of angular momentum. When $p_{i_1} ... p_{i_L}$ is decomposed into a sum of components $( p_{i_1} ... p_{i_L} )^L_\ell$, each…

Mathematical Physics · Physics 2016-08-29 Gregory S. Adkins

Five-point functions and five-body wave functions play an important role in many areas of nuclear and particle physics, e.g., in 2 -> 3 scattering processes, in the five-gluon vertex, or in the study of pentaquarks. In this work we consider…

High Energy Physics - Phenomenology · Physics 2025-02-25 Gernot Eichmann , Raul D. Torres

A theoretical formalism leading to elegant derivation of formulae for all spin observables is outlined for photo production of mesons with arbitrary spin parity $s^{\pi}$. The salient features of this formalism based on irreducible tensor…

Nuclear Theory · Physics 2008-11-26 G. Ramachandran , M. S. Vidya , J. Balasubramanyam

Moment invariants are a powerful tool for the generation of rotation-invariant descriptors needed for many applications in pattern detection, classification, and machine learning. A set of invariants is optimal if it is complete,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-04 Roxana Bujack , Emily Shinkle , Alice Allen , Tomas Suk , Nicholas Lubbers

We give a gauge-invariant treatment of the angular momentum sum-rule for the proton in terms of matrix elements of three gauge-invariant, local composite operators. These matrix elements are decomposed into three independent form factors,…

High Energy Physics - Phenomenology · Physics 2009-10-31 G. M. Shore , B. E. White

The subrank of tensors is a measure of how much a tensor can be ''diagonalized''. This parameter was introduced by Strassen to study fast matrix multiplication algorithms in algebraic complexity theory and is closely related to many central…

Algebraic Geometry · Mathematics 2023-11-27 Matthias Christandl , Fulvio Gesmundo , Jeroen Zuiddam

In the present paper it is considered a class V of 3-dimensional Riemannian manifolds M with a metric g and two affinor tensors q and S. It is defined another metric \bar{g} in M. The local coordinates of all these tensors are circulant…

Differential Geometry · Mathematics 2011-06-15 Iva Dokuzova , Dimitar Razpopov

Many problems can be formulated as recovering a low-rank tensor. Although an increasingly common task, tensor recovery remains a challenging problem because of the delicacy associated with the decomposition of higher order tensors. To…

Machine Learning · Statistics 2014-05-09 Ming Yuan , Cun-Hui Zhang

We discuss various proposals of separating a tensor field into pure-gauge and gauge-invariant components. Such tensor field decomposition is intimately related to the effort of identifying the real gravitational degrees of freedom out of…

General Relativity and Quantum Cosmology · Physics 2011-11-30 Xiang-Song Chen , Ben-Chao Zhu

We propose Riemannian preconditioned algorithms for the tensor completion problem via tensor ring decomposition. A new Riemannian metric is developed on the product space of the mode-2 unfolding matrices of the core tensors in tensor ring…

Optimization and Control · Mathematics 2023-11-15 Bin Gao , Renfeng Peng , Ya-xiang Yuan

In this paper, we first introduce the invertibility of even-order tensors and the separable tensors, including separable symmetry tensors and separable anti-symmetry tensors, defined respectively as the sum and the algebraic sum of rank-1…

Algebraic Geometry · Mathematics 2022-03-25 Changqing Xu

A general method for the reduction of coupled spherical harmonic products is presented. When the total angular coupling is zero, the reduction leads to an explicitly real expression in the scalar products within the unit vector arguments of…

Mathematical Physics · Physics 2023-02-28 D. R. Lehman , W. C. Parke

An optimization-based approach for the Tucker tensor approximation of parameter-dependent data tensors and solutions of tensor differential equations with low Tucker rank is presented. The problem of updating the tensor decomposition is…

Optimization and Control · Mathematics 2019-05-31 Lukas Exl