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We calculate the vacuum-expectation-value, the meson mass and the meson decay constant to next-to-next-to-leading-order in the chiral expansion for QCD-like theories with general $N_F$ degenerate flavours for the cases with a complex…

High Energy Physics - Phenomenology · Physics 2014-11-20 Johan Bijnens , Jie Lu

We describe how to construct a spanning set of linearly-independent, automatically orthogonal colour tensors for scattering amplitudes involving coloured particles transforming under arbitrary representations of any gauge theory, sufficient…

High Energy Physics - Theory · Physics 2026-01-01 Jacob L. Bourjaily , Michael Plesser , Cristian Vergu

We show that the symmetry classes of torsion-free covariant derivatives $\nabla T$ of r-times covariant tensor fields T can be characterized by Littlewood-Richardson products $\sigma [1]$ where $\sigma$ is a representation of the symmetric…

Combinatorics · Mathematics 2007-05-23 B. Fiedler

This thesis deals with three different aspects of the combinatorics of permutations. In the first two papers, two flavours of pattern avoiding permutations are examined; and in the third paper Young tableaux, which are closely related to…

Combinatorics · Mathematics 2009-08-04 Erik Ouchterlony

Building on advanced results on permutations, we show that it is possible to construct, for each irreducible representation of SU(N), an orthonormal basis labelled by the set of {\it standard Young tableaux} in which the matrix of the…

Quantum Physics · Physics 2015-06-22 Pierre Nataf , Frederic Mila

We classify indecomposable summands of mixed tensor powers of the natural representation for the general linear supergroup up to isomorphism. We also give a formula for the characters of these summands in terms of composite supersymmetric…

Representation Theory · Mathematics 2011-08-03 Jonathan Comes , Benjamin Wilson

We study two-body scattering as an SU(N)-equivariant map acting on tensor-product representation spaces and analyze the entanglement generated by the $S$-matrix. This representation-theoretic perspective separates group structure from…

High Energy Physics - Phenomenology · Physics 2025-11-14 Kun-Feng Lyu , Rahul Muraleedharan , Kuver Sinha

This paper derives the CS decomposition for orthogonal tensors (T-CSD) and the generalized singular value decomposition for two tensors (T-GSVD) via the T-product. The structures of the two decompositions are analyzed in detail and are…

Numerical Analysis · Mathematics 2021-07-01 Yating Zhang , Xiaoxia Guo , Pengpeng Xie , Zhengbang Cao

The role of Spaltenstein varieties in the tensor product for GL is explained. In particular a direct (non-combinatorial) proof of the fact that the number of irreducible components of a Spaltenstein variety is equal to a…

Algebraic Geometry · Mathematics 2007-05-23 Anton Malkin

We propose a set of 4 recurrence relations whose linear combination gives the number of group invariants, equivalently the dimension of the invariant subspace, in the tensor product of an arbitrary number of adjoint representations of the…

Representation Theory · Mathematics 2020-01-30 Prarit Agarwal , June Nahmgoong

The tensor renormalization group method is a promising approach to lattice field theories, which is free from the sign problem unlike standard Monte Carlo methods. One of the remaining issues is the application to gauge theories, which is…

High Energy Physics - Lattice · Physics 2021-12-22 Mitsuaki Hirasawa , Akira Matsumoto , Jun Nishimura , Atis Yosprakob

We show that every admissible irreducible representation of a product of two locally compact groups is a tensor product of admissible irreducible representations of the factors.

Representation Theory · Mathematics 2010-02-03 Anton Deitmar

We study the derived tensor product of the representation rings of subgroups of a given compact Lie group G. That is, given two such subgroups H_1 and H_2, we study the tensor product of the associated representation rings R(H_1) and R(H_2)…

K-Theory and Homology · Mathematics 2026-01-26 Marcus Zibrowius

We introduce a nonsymmetric, associative tensor product among representations of Cuntz algebras by using embeddings. We show the decomposition formulae of tensor products for permutative representations explicitly We apply decomposition…

Operator Algebras · Mathematics 2007-05-23 Katsunori Kawamura

We propose a novel tensor network representation for two-dimensional Yang-Mills theories with arbitrary compact gauge groups. In this method, tensor indices are directly given by group elements with no direct use of the character expansion.…

High Energy Physics - Lattice · Physics 2021-07-30 Masafumi Fukuma , Daisuke Kadoh , Nobuyuki Matsumoto

The existing tensor networks adopt conventional matrix product for connection. The classical matrix product requires strict dimensionality consistency between factors, which can result in redundancy in data representation. In this paper,…

Machine Learning · Computer Science 2021-10-01 Hengling Zhao , Yipeng Liu , Xiaolin Huang , Ce Zhu

Tensor train (TT) decomposition is a powerful representation for high-order tensors, which has been successfully applied to various machine learning tasks in recent years. However, since the tensor product is not commutative, permutation of…

Numerical Analysis · Computer Science 2017-05-31 Qibin Zhao , Masashi Sugiyama , Andrzej Cichocki

In this paper, we define a semi-tensor product for third-order tensors. Based on this definition, we present a new type of tensor decomposition strategy and give the specific algorithm. This decomposition strategy actually generalizes the…

Numerical Analysis · Mathematics 2023-01-18 Zhuo-Ran Chen , Seak-Weng Vong , Ze-Jia Xie

We construct a set of Wigner 6j symbols with gluon lines (adjoint representations) in closed form, expressed in terms of similar 6j symbols with quark lines (fundamental representations). Together with Wigner 6j symbols with quark lines,…

High Energy Physics - Phenomenology · Physics 2024-09-24 Stefan Keppeler , Simon Plätzer , Malin Sjodahl

We introduce tensor Interpolative Decomposition (tensor ID) for the reduction of the separation rank of Canonical Tensor Decompositions (CTDs). Tensor ID selects, for a user-defined accuracy \epsilon, a near optimal subset of terms of a CTD…

Numerical Analysis · Mathematics 2013-12-18 David J. Biagioni , Daniel Beylkin , Gregory Beylkin
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