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Univariate polynomial root-finding is both classical and important for modern computing. Frequently one seeks just the real roots of a polynomial with real coefficients. They can be approximated at a low computational cost if the polynomial…

Numerical Analysis · Mathematics 2014-07-01 Victor Y. Pan

In this paper the main results in arXiv:0901.3179v3, related to the matrix representation of polynomial maps, are restated in traditional way of linear algebra assuming that variable vectors are presented as column vectors. Some new results…

Rings and Algebras · Mathematics 2010-10-14 Ural Bekbaev

We propose a new interpretation of measures of information and disorder by connecting these concepts to group theory in a new way. Entropy and group theory are connected here by their common relation to sets of permutations. A combinatorial…

Information Theory · Computer Science 2019-11-25 David J. Galas

We introduce the concept of shape partition of a tensor and formulate a general tensor eigenvalue problem that includes all previously studied eigenvalue problems as special cases. We formulate irreducibility and symmetry properties of a…

Spectral Theory · Mathematics 2021-02-25 Antoine Gautier , Francesco Tudisco , Matthias Hein

In this article, we show that each semidefinite relaxation of a ball-constrained noncommutative polynomial optimization problem can be cast as a semidefinite program with a constant trace matrix variable. We then demonstrate how this…

Optimization and Control · Mathematics 2021-02-04 Ngoc Hoang Anh Mai , Abhishek Bhardwaj , Victor Magron

Left-right and conjugation actions on matrix tuples have received considerable attention in theoretical computer science due to their connections with polynomial identity testing, group isomorphism, and tensor isomorphism. In this paper, we…

Data Structures and Algorithms · Computer Science 2024-09-20 Youming Qiao , Xiaorui Sun

We consider operator-valued polynomials in Gaussian Unitary Ensemble random matrices and we show that its $L^p$-norm can be upper bounded, up to an asymptotically small error, by the operator norm of the same polynomial evaluated in free…

Probability · Mathematics 2024-10-31 Félix Parraud

Coherent-state representations are a standard tool to deal with continuous-variable systems, as they allow one to efficiently visualize quantum states in phase space. Here, we work out an alternative basis consisting of monomials on the…

Quantum Physics · Physics 2024-06-05 A. Z. Goldberg , A. B. Klimov , G. Leuchs , L. L. Sanchez-Soto

Assume that $\{a_{n};\,n\geq0\}$ is a sequence of positive numbers and $\sum a_{n}^{\,-1}<\infty$. Let $\alpha_{n}=ka_{n}$, $\beta_{n}=a_{n}+k^{2}a_{n-1}$ where $k\in(0,1)$ is a parameter, and let $\{P_{n}(x)\}$ be an orthonormal polynomial…

Mathematical Physics · Physics 2022-03-11 Pavel Stovicek

There is a commutative algebra of differential-difference operators, with two parameters, associated to any dihedral group with an even number of reflections. The intertwining operator relates this algebra to the algebra of partial…

Classical Analysis and ODEs · Mathematics 2008-04-24 Charles F. Dunkl

The symmetric group on 4 letters has the reflection group $D_{3}$ as an isomorphic image. This fact follows from the coincidence of the root systems $A_{3}$ and $D_{3}$. The isomorphism is used to construct an orthogonal basis of…

Classical Analysis and ODEs · Mathematics 2008-12-02 Charles F. Dunkl

In this research, the Bernoulli polynomials are introduced. The properties of these polynomials are employed to construct the operational matrices of integration together with the derivative and product. These properties are then utilized…

Numerical Analysis · Computer Science 2014-08-12 J. A. Rad , S. Kazem , M. Shaban , K. Parand

Polynomial regression is widely used and can help to express nonlinear patterns. However, considering very high polynomial orders may lead to overfitting and poor extrapolation ability for unseen data. The paper presents a method for…

Machine Learning · Computer Science 2023-08-01 Andrei Ivanov , Stefan Maria Ailuro

We study invariant operators in general tensor models. We show that representation theory provides an efficient framework to count and classify invariants in tensor models. In continuation and completion of our earlier work, we present two…

High Energy Physics - Theory · Physics 2018-07-13 Pablo Diaz , Soo-Jong Rey

The trace regression model, a direct extension of the well-studied linear regression model, allows one to map matrices to real-valued outputs. We here introduce an even more general model, namely the partial-trace regression model, a family…

Machine Learning · Computer Science 2020-08-26 Hachem Kadri , Stéphane Ayache , Riikka Huusari , Alain Rakotomamonjy , Liva Ralaivola

In an isomorphic copy of the ring of symmetric polynomials we study some families of polynomials which are indexed by rational weight vectors. These families include well known symmetric polynomials, such as the elementary, homogeneous, and…

Combinatorics · Mathematics 2007-05-23 Trueman MacHenry , Geanina Tudose

We study concave trace functions of several operator variables and formulate and prove multivariate generalisations of the Golden-Thompson inequality. The obtained results imply that certain functionals in quantum statistical mechanics have…

Mathematical Physics · Physics 2015-08-06 Frank Hansen

Identifying symmetries in quantum dynamics, such as identity or time-reversal invariance, is a crucial challenge with profound implications for quantum technologies. We introduce a unified framework combining group representation theory and…

Quantum Physics · Physics 2025-02-04 Masahito Hayashi , Yu-Ao Chen , Chenghong Zhu , Xin Wang

We calculate the autocorrelation functions (or shifted moments) of the characteristic polynomials of matrices drawn uniformly with respect to Haar measure from the groups U(N), O(2N) and USp(2N). In each case the result can be expressed in…

Mathematical Physics · Physics 2016-09-07 J. B. Conrey , D. W. Farmer , J. P. Keating , M. O. Rubinstein , N. C. Snaith

This paper studies symmetric tensor decompositions. For symmetric tensors, there exist linear relations of recursive patterns among their entries. Such a relation can be represented by a polynomial, which is called a generating polynomial.…

Numerical Analysis · Mathematics 2015-10-06 Jiawang Nie