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Related papers: Inverses of moment Hermitian matrices

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This paper is devoted to the study of general (Laurent) polynomial modifications of moment functionals on the unit circle, i.e., associated with hermitian Toeplitz matrices. We present a new approach which allows us to study polynomial…

Classical Analysis and ODEs · Mathematics 2009-08-19 M. J. Cantero , L. Moral , L. Velazquez

This note is devoted to inverse spectral problems for canonical Hamiltonian systems on the half-line. An approach to inverse spectral problems based on the use of truncated Toeplitz operators has been especially effective in the case when…

Spectral Theory · Mathematics 2024-08-16 Alexei Poltoratski , Ashley Ran Zhang

Let $(s_n)_{n\ge 0}$ denote an indeterminate Hamburger moment sequence and let $\mathcal H=\{s_{m+n}\}$ be the corresponding positive definite Hankel matrix. We consider the question if there exists an infinite symmetric matrix $\mathcal…

Classical Analysis and ODEs · Mathematics 2018-10-09 Christian Berg , Ryszard Szwarc

How to construct a suitable measurement matrix is still an open question in compressed sensing. A significant part of the recent work is that the measurement matrices are not completely random on the entries but exhibit considerable…

Information Theory · Computer Science 2017-09-08 Tao Huang , Yi-Zheng Fan , Ming Zhu

We study alternating minimization for matrix completion in the simplest possible setting: completing a rank-one matrix from a revealed subset of the entries. We bound the asymptotic convergence rate by the variational characterization of…

Machine Learning · Computer Science 2020-08-13 Rui Liu , Alex Olshevsky

The main aim of this work is to apply the study of the asymptotic behaviour of generalized eigenvalues between infinite Hermitian definite positive matrices in an important question regarding the location of zeros of Sobolev orthogonal…

Functional Analysis · Mathematics 2023-05-26 C. Escribano , R. Gonzalo

In this survey we show how to produce asymptotics of determinants of structured matrices using operator theory methods. We describe the asymptotics for finite Toeplitz matrices, finite Toeplitz plus Hankel matrices and generalizations of…

Functional Analysis · Mathematics 2024-08-01 E. Basor , T. Ehrhardt , J. A. Virtanen

The power moments of a positive measure on the real line or the circle are characterized by the non-negativity of an infinite matrix, Hankel, respectively Toeplitz, attached to the data. Except some fortunate configurations, in higher…

Functional Analysis · Mathematics 2020-07-28 David Kimsey , Mihai Putinar

In several applications, one must estimate a real-valued (symmetric) Toeplitz covariance matrix, typically shifted by the conjugated diagonal matrices of phase progression and phase "calibration" errors. Unlike the Hermitian Toeplitz…

Signal Processing · Electrical Eng. & Systems 2025-07-03 Yuri Abramovich , Victor Abramovich , Tanit Pongsiri

In this paper we study the eigenvalues of Hermitian Toeplitz matrices with the entries $2,-1,0,\ldots,0,-\alpha$ in the first column. Notice that the generating symbol depends on the order $n$ of the matrix. If $|\alpha|\le 1$, then the…

Functional Analysis · Mathematics 2024-01-02 Sergei M. Grudsky , Egor A. Maximenko , Alejandro Soto-González

We study the first and second orders of the asymptotic expansion, as the dimension goes to infinity, of the moments of the Hilbert-Schmidt norm of a uniformly distributed matrix in the p-Schatten unit ball. We consider the case of matrices…

Functional Analysis · Mathematics 2022-02-17 Benjamin Dadoun , Matthieu Fradelizi , Olivier Guédon , Pierre-André Zitt

We establish formulae for the moments of the moments of the characteristic polynomials of random orthogonal and symplectic matrices in terms of certain lattice point count problems. This allows us to establish asymptotic formulae when the…

Mathematical Physics · Physics 2022-12-01 T. Assiotis , E. C. Bailey , J. P. Keating

This thesis is based on joint work with Jon Keating [FK21], Tom Claeys and Jon Keating [CFK23], and Isao Sauzedde [FS22], and is concerned with establishing and studying connections between random matrices and log-correlated fields. This is…

Mathematical Physics · Physics 2023-11-14 Johannes Forkel

A factorization of the inverse of a Hermetian positive definite matrix based on a diagonal by diagonal recurrence formulae permits the inversion of Block Toeplitz matrices, using only matrix-vector products, and with a complexity of…

Spectral Theory · Mathematics 2007-05-23 Rami Kanhouche

In this paper, we derive high-dimensional asymptotic properties of the Moore-Penrose inverse and, as a byproduct, of various ridge-type inverses of the sample covariance matrix. In particular, the analytical expressions of the asymptotic…

Statistics Theory · Mathematics 2025-11-25 Taras Bodnar , Nestor Parolya

In this paper we study a generalized class of Maxwell-Boltzmann equations which in addition to the usual collision term contains a linear deformation term described by a matrix A. This class of equations arises, for instance, from the…

Mathematical Physics · Physics 2020-10-28 Alexander Bobylev , Alessia Nota , Juan J. L. Velázquez

The four major asymptotic level density laws of random matrix theory may all be showcased though their Jacobi parameter representation as having a bordered Toeplitz form. We compare and contrast these laws, completing and exploring their…

Probability · Mathematics 2015-02-18 Alexander Dubbs , Alan Edelman

In this article we derive, using standard methods of Toeplitz theory, an asymptotic formula for certain large minors of Toeplitz matrices. D. Bump and P. Diaconis obtained the same asymptotics using representation theory, with an answer…

Functional Analysis · Mathematics 2007-05-23 Craig A. Tracy , Harold Widom

For an infinite Toeplitz matrix $T$ with nonnegative real entries we find the conditions, under which the equation $\boldsymbol{x}=T\boldsymbol{x}$, where $\boldsymbol{x}$ is an infinite vector-column, has a nontrivial bounded positive…

Probability · Mathematics 2023-06-22 Vyacheslav M. Abramov

Compressed sensing seeks to recover a sparse vector from a small number of linear and non-adaptive measurements. While most work so far focuses on Gaussian or Bernoulli random measurements we investigate the use of partial random circulant…

Information Theory · Computer Science 2009-02-26 Holger Rauhut