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We study several variants of decomposing a symmetric matrix into a sum of a low-rank positive semidefinite matrix and a diagonal matrix. Such decompositions have applications in factor analysis and they have been studied for many decades.…

Optimization and Control · Mathematics 2023-10-02 Levent Tunçel , Stephen A. Vavasis , Jingye Xu

The Riemann-Liouville formula for fractional derivatives and integrals (differintegration) is used to derive formulae for matrix order derivatives and integrals. That is, the parameter for integration and differentiation is allowed to…

Mathematical Physics · Physics 2007-05-23 Mark Naber

Many applications in computational science require computing the elements of a function of a large matrix. A commonly used approach is based on the the evaluation of the eigenvalue decomposition, a task that, in general, involves a…

Computational Physics · Physics 2014-07-04 Marco Nava , Michele Ceriotti , Chaim Dryzun , Michele Parrinello

Computing the polar decomposition and the related matrix sign function has been a well-studied problem in numerical analysis for decades. Recently, it has emerged as an important subroutine within the Muon optimizer for training deep neural…

Machine Learning · Computer Science 2026-05-06 Noah Amsel , David Persson , Christopher Musco , Robert M. Gower

Let A and E be Hermitian self-adjoint matrices, where A is fixed and E a small perturbation. We study how the eigenvalues and eigenvectors of A+E depend on E, with the aim of obtaining first order formulas (and when possible also second…

Mathematical Physics · Physics 2019-08-26 Marcus Carlsson

We present a derivation of the gradients of feedforward neural networks using Fr\'echet calculus which is arguably more compact than the ones usually presented in the literature. We first derive the gradients for ordinary neural networks…

Machine Learning · Computer Science 2022-09-28 Thomas Hamm

A novel construction of polar codes with dynamic frozen symbols is proposed. The proposed codes are subcodes of extended BCH codes, which ensure sufficiently high minimum distance. Furthermore, a decoding algorithm is proposed, which…

Information Theory · Computer Science 2013-07-12 Peter Trifonov , Vera Miloslavskaya

Given a square, nonsingular matrix of univariate polynomials $\mathbf{F} \in \mathbb{K}[x]^{n \times n}$ over a field $\mathbb{K}$, we give a fast, deterministic algorithm for finding the Hermite normal form of $\mathbf{F}$ with complexity…

Symbolic Computation · Computer Science 2016-02-08 George Labahn , Wei Zhou

We establish pointwise formulas for the shape derivative of solutions to the Dirichlet problem associated with the fractional Laplacian. Specifically, we consider the equation $(-\Delta)^s u = h$ in $\Omega$ and $u=0$ in $\Omega^c$, where…

Analysis of PDEs · Mathematics 2026-02-10 Sidy M. Djitte , Franck Sueur

In the present paper we consider the functional dissipativity of the Dirichlet problem for systems of partial differential operators of the form $\partial_{h} ({\mathop{\mathscr A}\nolimits}^{hk}(x)\partial_{k})$ (${\mathop{\mathscr…

Analysis of PDEs · Mathematics 2022-08-17 Alberto Cialdea , Vladimir Maz'ya

A new method is presented for Fourier decomposition of the Helmholtz Green Function in cylindrical coordinates, which is equivalent to obtaining the solution of the Helmholtz equation for a general ring source. The Fourier coefficients of…

Mathematical Physics · Physics 2015-05-14 John T. Conway , Howard S. Cohl

The unitary polar factor of a matrix F is the unitary matrix Q realizing the minimum of the norm of F-Q over all unitary matrices Q. Tracing back the development on the optimality of the polar factor to its presumable roots, in this paper…

Numerical Analysis · Mathematics 2013-10-30 Patrizio Neff , Johannes Lankeit , Angela Madeo

QR factorisation plays an important role in matrix computations. Within the context of optimisation and of automatic differentiation of such computations, we need to compute the derivative of this factorisation. For tall matrices, however,…

Numerical Analysis · Mathematics 2025-05-27 Stefanos-Aldo Papanicolopulos

There are various definitions of right and left polar decompositions of an $m\times n$ matrix $F \in \mathbb{K}^{m\times n}$ (where $\mathbb{K}=\mathbb{C}$ or $\mathbb{R}$) with respect to bilinear or sesquilinear products defined by…

Rings and Algebras · Mathematics 2016-11-01 Xuefang Sui , Paolo Gondolo

Fractional derivative can be defined as a fractional power of derivative. The commutator (i/h)[H, ], which is used in the Heisenberg equation, is a derivation on a set of observables. A derivation is a map that satisfies the Leibnitz rule.…

Quantum Physics · Physics 2009-11-13 Vasily E. Tarasov

We give an effective procedure to explicitly find the decomposition of a polarized abelian variety into its simple factors if a period matrix is known. Since finding this datum is not easy, we also provide two methods to compute the period…

Algebraic Geometry · Mathematics 2024-04-24 Rubí E. Rodríguez , Anita M. Rojas

Let $T$ be a square matrix with a real spectrum, and let $f$ be an analytic function. The problem of the approximate calculation of $f(T)$ is discussed. Applying the Schur triangular decomposition and the reordering, one can assume that $T$…

Numerical Analysis · Mathematics 2021-06-01 P. Kubelík , V. G. Kurbatov , I. V. Kurbatova

A procedure to obtain differentiation matrices is extended straightforwardly to yield new differentiation matrices useful to obtain derivatives of complex rational functions. Such matrices can be used to obtain numerical solutions of some…

Numerical Analysis · Mathematics 2007-05-23 Rafael G. Campos , Claudio Meneses

We show that the unitary factor U in the polar decomposition of a nonsingular matrix Z = U H is the minimizer for both ||Log(Q^* Z)|| and ||sym (Log(Q^*Z))|| over unitary Q, for any given invertible complex n-times-n matrix Z, for any…

Classical Analysis and ODEs · Mathematics 2013-08-07 Johannes Lankeit , Patrizio Neff , Yuji Nakatsukasa

One deals with degenerations by coordinate sections of the square generic Hankel matrix over a field $k$ of characteristic zero, along with its main related structures, such as the determinant of the matrix, the ideal generated by its…

Commutative Algebra · Mathematics 2020-05-07 Rainelly Cunha , Maral Mostafazadehfard , Zaqueu Ramos , Aron simis