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In acoustical engineering, analytical methodologies are often restricted to two or three dimensions; however, a general-dimensional approach can enhance learning and implementation efficiency while providing a unified understanding of…

General Mathematics · Mathematics 2024-12-17 Takahiro Iwami , Naohisa Inoue , Akira Omoto

We here first study the state space realization of a tensor-product of a pair of rational functions. At the expense of "inflating" the dimensions, we recover the classical expressions for realization of a regular product of rational…

Optimization and Control · Mathematics 2018-12-05 Daniel Alpay , Izchak Lewkowicz

A recursive method is derived to calculate all eigenvalue correlation functions of a random hermitian matrix in the large size limit, and after smoothing of the short scale oscillations. The property that the two-point function is…

High Energy Physics - Theory · Physics 2008-02-03 B. Eynard

The standard Sobolev space $W^s_2(\mathbb{R}^d)$, with arbitrary positive integers $s$ and $d$ for which $s>d/2$, has the reproducing kernel $$ K_{d,s}(x,t)=\int_{\mathbb{R}^d}\frac{\prod_{j=1}^d\cos\left(2\pi\,(x_j-t_j)u_j\right)}…

Numerical Analysis · Mathematics 2018-07-17 Erich Novak , Mario Ullrich , Henryk Woźniakowski , Shun Zhang

This paper constructs unique compactly supported functions in Sobolev spaces that have minimal norm, maximal support, and maximal central value, under certain renormalizations. They may serve as optimized basis functions in interpolation or…

Numerical Analysis · Mathematics 2024-09-04 Robert Schaback

In this paper we consider an orthonormal basis, generated by a tensor product of Fourier basis functions, half period cosine basis functions, and the Chebyshev basis functions. We deal with the approximation problem in high dimensions…

Numerical Analysis · Mathematics 2024-04-26 Daniel Potts , Pascal Schröter

Linearization is a standard approach in the computation of eigenvalues, eigenvectors and invariant subspaces of matrix polynomials and rational matrix value functions. An important source of linearizations are the so called Fiedler…

Category Theory · Mathematics 2023-11-27 Namita Behera , Avisek Bist , Volker Mehrmann

We consider the space $\mathscr{H}_L ^{s,r} (O)$ consisting of all local Sobolev distributions of order $s$ on an open set $O$ whose Sobolev wave front set of order $r$ is contained in the closed conic set $L\subseteq…

Functional Analysis · Mathematics 2025-12-30 Stefan Tutić

We establish simultaneous approximation properties of weighted first-order Sobolev orthogonal projectors onto spaces of polynomials of bounded total degree in the Euclidean unit ball. The simultaneity is in the sense that we provide bounds…

Classical Analysis and ODEs · Mathematics 2023-08-21 Leonardo E. Figueroa

We develop a randomized extension of tensor Krylov subspace methods based on the Einstein product for solving large-scale multilinear systems arising in image and video restoration. The classical tensor global GMRES method relies on…

Numerical Analysis · Mathematics 2026-03-03 Achraf Badahmane

We present an approach for variational regularization of inverse and imaging problems for recovering functions with values in a set of vectors. We introduce regularization functionals, which are derivative-free double integrals of such…

Optimization and Control · Mathematics 2018-12-24 René Ciak , Melanie Melching , Otmar Scherzer

We investigate Lawruk elliptic boundary-value problems for homogeneous differential equations in a two-sided refined Sobolev scale. These problems contain additional unknown functions in the boundary conditions of arbitrary orders. The…

Analysis of PDEs · Mathematics 2018-12-31 Anna Anop

In this paper we consider sequences of polynomials orthogonal with respect to certain discrete Laguerre-Sobolev inner product, with two perturbations (involving derivatives) located inside the oscillatory region for the classical Laguerre…

Classical Analysis and ODEs · Mathematics 2014-03-13 Edmundo J. Huertas , F. Marcellán , María F. Pérez-Valero , Yamilet Quintana

An approach is proposed which, given a family of linearly independent functions, constructs the appropriate biorthogonal set so as to represent the orthogonal projector operator onto the corresponding subspace. The procedure evolves…

Mathematical Physics · Physics 2007-05-23 laura Rebollo-Neira

The Eigendecomposition of quadratic forms (symmetric matrices) guaranteed by the spectral theorem is a foundational result in applied mathematics. Motivated by a shared structure found in inferential problems of recent interest---namely…

Machine Learning · Computer Science 2018-02-26 Mikhail Belkin , Luis Rademacher , James Voss

We consider the Sobolev norms of the pointwise product of two functions, and estimate from above and below the constants appearing in two related inequalities.

Functional Analysis · Mathematics 2007-05-23 C. Morosi , L. Pizzocchero

We here present three characterizations of not necessarily causal, rational functions which are (co)-isometric on the unit circle: (i) Through the realization matrix of Schur stable systems. (ii) The Blaschke-Potapov product, which is then…

Complex Variables · Mathematics 2015-01-06 Daniel Alpay , Palle Jorgensen , Izchak Lewkowicz

In this paper we deal with composite rational functions having zeros and poles forming consecutive elements of an arithmetic progression. We also correct a result published earlier related to composite rational functions having a fixed…

Number Theory · Mathematics 2017-03-16 Szabolcs Tengely

In this paper, a spectral method based on conformal mappings is proposed to solve Steklov eigenvalue problems and their related shape optimization problems in two dimensions. To apply spectral methods, we first reformulate the Steklov…

Numerical Analysis · Mathematics 2018-05-08 Weaam Alhejaili , Chiu-Yen Kao

We obtain new oscillation inequalities in metric spaces in terms of the Peetre $K-$functional and the isoperimetric profile. Applications provided include a detailed study of Fractional Sobolev inequalities and the Morrey-Sobolev embedding…

Functional Analysis · Mathematics 2014-04-01 Joaquim Martin , Mario Milman