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Related papers: On some tensor inequalities based on the t-product

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Some Ostrowski type inequalities via Cauchy's mean value theorem and applications for certain particular instances of functions are given.

Classical Analysis and ODEs · Mathematics 2025-10-20 Sever Silvestru Dragomir

We study Hamiltonian and symplectic tensor structures in the T-product algebra. We define T-Hamiltonian and T-symplectic tensors and characterize them through their Fourier-domain slices. For T-Hamiltonian tensors we establish the standard…

Numerical Analysis · Mathematics 2026-05-21 Susana Lopez-Moreno , Taehyeong Kim

Bounds on the norm of quantum operators associated with classical Bell-type inequalities can be derived from their maximal eigenvalues. This quantitative method enables detailed predictions of the maximal violations of Bell-type…

Quantum Physics · Physics 2007-05-23 Stefan Filipp , Karl Svozil

A new inequality between angles in inner product spaces is formulated and proved. It leads directly to a concise statement and proof of the generalized Wielandt inequality, including a simple description of all cases of equality. As a…

Functional Analysis · Mathematics 2012-09-11 Minghua Lin , Gord Sinnamon

The Minkowski tensors are valuations on the space of convex bodies in ${\mathbb R}^n$ with values in a space of symmetric tensors, having additional covariance and continuity properties. They are extensions of the intrinsic volumes, and as…

Metric Geometry · Mathematics 2016-05-04 Daniel Hug , Rolf Schneider

In [8] a notion of generalized Hadamard product was introduced. We show that when certain kinds of tensors interact with the eigenvalues of symmetric matrices the resulting formulae can be nicely expressed using the generalized Hadamard…

Optimization and Control · Mathematics 2007-05-23 Hristo S. Sendov

We establish two inequalities for the nuclear norm and the spectral norm of tensor products. The first inequality indicates that the nuclear norm of the square matrix is a matrix norm. We extend the concept of matrix norm to tensor norm. We…

Numerical Analysis · Mathematics 2019-10-23 Liqun Qi , Shenglong Hu , Xinzhen Zhang , Yannan Chen

In this paper, we present some operator and eigenvalue inequalities involving operator monotone, doubly concave and doubly convex functions. These inequalities provide some variants of operator Acz\'{e}l inequality and its reverse via…

Functional Analysis · Mathematics 2020-01-16 Shigeru Furuichi , Mohammad Reza Jabbarzadeh , Venus Kaleibary

The entropy power inequality, which plays a fundamental role in information theory and probability, may be seen as an analogue of the Brunn-Minkowski inequality. Motivated by this connection to Convex Geometry, we survey various recent…

Information Theory · Computer Science 2020-02-07 Mokshay Madiman , James Melbourne , Peng Xu

An Ostrowski type integral inequality for convex functions and applications for quadrature rules and integral means are given. A refinement and a counterpart result for Hermite-Hadamard inequalities are obtained and some inequalities for…

Numerical Analysis · Mathematics 2025-10-20 Sever Silvestru Dragomir

It is customary to assume that the law of conservation of the angular momentum is violated for an asymmetric energy-momentum tensors. This is the reason for criticizing the Minkowski tensor and other asymmetric energy-momentum tensors. In…

Classical Physics · Physics 2017-08-16 Yurii A. Spirichev

We show that recent multivariate generalizations of the Araki-Lieb-Thirring inequality and the Golden-Thompson inequality [Sutter, Berta, and Tomamichel, Comm. Math. Phys. (2016)] for Schatten norms hold more generally for all unitarily…

Mathematical Physics · Physics 2017-12-12 Fumio Hiai , Robert Koenig , Marco Tomamichel

Several matrix/operator inequalies are given. Most of them are unexpected extensions of the Araki Log-majorization theorem, obtained thanks to a new log-majorization for positive linear maps and normal operators (Theorem 2.9). The main idea…

Functional Analysis · Mathematics 2016-06-14 Jean-Christophe Bourin , Eun-Young Lee

Compressed sensing extends from the recovery of sparse vectors from undersampled measurements via efficient algorithms to the recovery of matrices of low rank from incomplete information. Here we consider a further extension to the…

Numerical Analysis · Mathematics 2014-11-04 Holger Rauhut , Reinhold Schneider , Zeljka Stojanac

We generalize the tensor product theory for modules for a vertex operator algebra previously developed in a series of papers by the first two authors to suitable module categories for a ``conformal vertex algebra'' or even more generally,…

Quantum Algebra · Mathematics 2007-05-23 Yi-Zhi Huang , James Lepowsky , Lin Zhang

A counterpart of the famous Bessel's inequality for orthornormal families in real or complex inner product spaces is given. Applications for some Gruss type inequalities are also provided.

Classical Analysis and ODEs · Mathematics 2007-05-23 Sever Silvestru Dragomir

This paper discusses weighted tensor Golub-Kahan-type bidiagonalization processes using the t-product. This product was introduced in [M. E. Kilmer and C. D. Martin, Factorization strategies for third order tensors, Linear Algebra Appl.,…

Numerical Analysis · Mathematics 2021-09-10 Lothar Reichel , Ugochukwu O Ugwu

We present some new inequalities related to determinant and trace for positive semidefinite block matrices by using symmetric tensor product, which are extensions of Fiedler-Markham's inequality and Thompson's inequality.

Rings and Algebras · Mathematics 2020-03-03 Yongtao Li , Yang Huang , Lihua Feng , Weijun Liu

A proof for the point-wise convergence of the factors in the higher-order power method for tensors towards a critical point is given. It is obtained by applying established results from the theory of \L{}ojasiewicz inequalities to the…

Optimization and Control · Mathematics 2015-01-26 André Uschmajew

This educational article highlights the geometric and algebraic complexities that distinguish tensors from matrices, to supplement coverage in advanced courses on linear algebra, matrix analysis, and tensor decompositions. Using the case of…

Numerical Analysis · Mathematics 2025-04-08 Gabriel H. Brown , Joe Kileel , Tamara G. Kolda