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Related papers: A Note on Generalized Locally Toeplitz Operators

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A new decomposition method for nonstationary signals, named Adaptive Local Iterative Filtering (ALIF), has been recently proposed in the literature. Given its similarity with the Empirical Mode Decomposition (EMD) and its more rigorous…

Numerical Analysis · Mathematics 2022-07-20 Giovanni Barbarino , Antonio Cicone

The main goal of this thesis is to show the crucial role that plays the symbol in analysing the spectrum the sequence of matrices resulting from PDE approximation and in designing a fast method to solve the associated linear problem. In the…

Numerical Analysis · Mathematics 2022-06-13 Ryma Imene Rahla

When approximating elliptic problems by using specialized approximation techniques, we obtain large structured matrices whose analysis provides information on the stability of the method. Here we provide spectral and norm estimates for…

Numerical Analysis · Mathematics 2023-03-23 Armando Coco , Sven-Erik Ekström , Giovanni Russo , Stefano Serra-Capizzano , Santina Chiara Stissi

We are concerned with sequences of graphs having a grid geometry, with a uniform local structure in a bounded domain $\Omega\subset {\mathbb R}^d$, $d\ge 1$. We assume $\Omega$ to be Lebesgue measurable with regular boundary and contained,…

Numerical Analysis · Mathematics 2020-09-14 Andrea Adriani , Davide Bianchi , Stefano Serra-Capizzano

This work addresses the Galerkin isogeometric discretization of the one-dimensional Laplace eigenvalue problem subject to homogeneous Dirichlet boundary conditions on a bounded interval. We employ GLT theory to analyze the behavior of the…

Numerical Analysis · Mathematics 2025-10-15 Lamsahel Noureddine , Abdeladim El Akri , Ahmed Ratnani

In the current work, we consider the study of the spectral distribution of the geometric mean matrix-sequence of two matrix-sequences $\{G(A_n, B_n)\}_n$ formed by Hermitian Positive Definite (HPD) matrices, assuming that the two input…

Numerical Analysis · Mathematics 2025-05-07 Asiim Ilyas , Muhammad Faisal Khan , Valerio Loi , Stefano Serra-Capizzano

Starting from the definition of an $n\times n$ $g$-Toeplitz matrix, $T_{n,g}(u)=\left[\widehat{u}_{r-gs}\right]_{r,s=0}^{n-1},$ where $g$ is a given nonnegative parameter, $\{\widehat{u}_{k}\}$ is the sequence of Fourier coefficients of the…

Numerical Analysis · Mathematics 2019-05-09 Eric Ngondiep

Although Galerkin discretizations have been intensively employed in the IgA context, an efficient implementation requires special numerical quadrature rules when constructing the system of equations. To avoid this issue, isogeometric…

Numerical Analysis · Mathematics 2017-11-30 Fabio Roman

In recent years more and more involved block structures appeared in the literature in the context of numerical approximations of complex infinite dimensional operators modeling real-world applications. In various settings, thanks the theory…

Numerical Analysis · Mathematics 2025-02-05 Isabella Furci , Andrea Adriani , Stefano Serra-Capizzano

The singular value and spectral distribution of Toeplitz matrix sequences with Lebesgue integrable generating functions is well studied. Early results were provided in the classical Szeg{\H{o}} theorem and the Avram-Parter theorem, in which…

Numerical Analysis · Mathematics 2018-10-08 Sean Hon , Mohammad Ayman Mursaleen , Stefano Serra-Capizzano

Spectral properties of Toeplitz operators and their finite truncations have long been central in operator theory. In the finite dimensional, non-normal setting, the spectrum is notoriously unstable under perturbations. Random perturbations…

Probability · Mathematics 2025-09-17 Anirban Basak

Self-adjoint Toeplitz operators have purely absolutely continuous spectrum. For Toeplitz operators $T$ with piecewise continuous symbols, we suggest a further spectral classification determined by propagation properties of the operator $T$,…

Spectral Theory · Mathematics 2022-11-16 Alexander V. Sobolev , Dmitri Yafaev

In a series of papers the author and others have studied an asymptotic expansion of the errors of the eigenvalue approximation, using the spectral symbol, in connection with Toeplitz (and Toeplitz-like) matrices, that is, $E_{j,n}$ in…

Numerical Analysis · Mathematics 2024-12-20 Sven-Erik Ekström

In a series of recent papers the spectral behavior of the matrix sequence $\{Y_nT_n(f)\}$ is studied in the sense of the spectral distribution, where $Y_n$ is the main antidiagonal (or flip matrix) and $T_n(f)$ is the Toeplitz matrix…

Numerical Analysis · Mathematics 2022-07-20 Giovanni Barbarino , Sven-Erik Ekström , Stefano Serra-Capizzano , Paris Vassalos

In the present note we consider a type of matrices stemming in the context of the numerical approximation of distributed order fractional differential equations (FDEs): from one side they could look standard, since they are, real, symmetric…

Numerical Analysis · Mathematics 2021-12-08 M. Bogoya , S. M. Grudsky , S. Serra-Capizzano , C. Tablino-Possio

This paper studies the spectral properties of large matrices and the preconditioning of linear systems, arising from the finite difference discretization of a time-dependent space-fractional diffusion equation with a variable coefficient…

Numerical Analysis · Mathematics 2026-03-17 Muhammad Faisal Khan , Asim Ilyas , Rolf Krause , Stefano Serra-Capizzano , Cristina Tablino-Possio

In this paper, the generalized finite element method (GFEM) for solving second order elliptic equations with rough coefficients is studied. New optimal local approximation spaces for GFEMs based on local eigenvalue problems involving a…

Numerical Analysis · Mathematics 2021-12-22 Chupeng Ma , Robert Scheichl , Tim Dodwell

We study the spectra of general $N\times N$ Toeplitz matrices given by symbols in the Wiener Algebra perturbed by small complex Gaussian random matrices, in the regime $N\gg 1$. We prove an asymptotic formula for the number of eigenvalues…

Spectral Theory · Mathematics 2019-05-27 Johannes Sjoestrand , Martin Vogel

It is known that the generating function $f$ of a sequence of Toeplitz matrices $\{T_n(f)\}_n$ may not describe the asymptotic distribution of the eigenvalues of $T_n(f)$ if $f$ is not real. In this paper, we assume as a working hypothesis…

Numerical Analysis · Mathematics 2021-08-17 Sven-Erik Ekström

Recently proposed Gated Linear Networks present a tractable nonlinear network architecture, and exhibit interesting capabilities such as learning with local error signals and reduced forgetting in sequential learning. In this work, we…

Machine Learning · Computer Science 2022-12-13 Qianyi Li , Haim Sompolinsky