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Related papers: Preconditioned Random Toeplitz Operators

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A new approach to problems of the Uncertainty Principle in Harmonic Analysis, based on the use of Toeplitz operators, has brought progress to some of the classical problems in the area. The goal of this paper is to develop and systematize…

Complex Variables · Mathematics 2018-01-23 Alexei Poltoratski

Compressions of Toeplitz operators to coinvariant subspaces of $H^2$ are called truncated Toeplitz operators. We study two questions related to these operators. The first, raised by Sarason, is whether boundedness of the operator implies…

Functional Analysis · Mathematics 2009-11-14 A. Baranov , Isabelle Chalendar , Emmanuel Fricain , Javad Mashreghi , Dan Timotin

We investigate a class of operators resulting from a quantization scheme attributed to Berezin. These so-called Berezin-Toeplitz operators are defined on a Hilbert space of square-integrable holomorphic sections in a line bundle over the…

Mathematical Physics · Physics 2009-11-07 Bernhard G. Bodmann

We establish some subprincipal estimates for Berezin-Toeplitz operators on symplectic compact manifolds. From this, we construct a family of subprincipal symbol maps and we prove that these maps are the only ones satisfying some expected…

Differential Geometry · Mathematics 2016-02-09 Laurent Charles

Asymptotic forms of the Hilbert-Scmidt and Hilbert norms of positive definite Toeplitz matrices $Q_{N}=(b(j-k))_{j,k=0}^{N-1}$ as $N\to \infty $ are determined. Here $b(j)$ are consequent trigonometric moments of a generating non-negative…

Spectral Theory · Mathematics 2007-05-23 Vadim M Adamyan , Jose L Iserte , Igor M Tkachenko

This paper provides a comprehensive and detailed analysis of the local convergence behavior of an extended variation of the locally optimal preconditioned conjugate gradient method (LOBPCG) for computing the extreme eigenvalue of a…

Numerical Analysis · Mathematics 2026-04-07 Zhechen Shen , Xin Liang

We study the iterative solution of linear systems of equations arising from stochastic Galerkin finite element discretizations of saddle point problems. We focus on the Stokes model with random data parametrized by uniformly distributed…

Numerical Analysis · Mathematics 2018-10-31 Christopher Müller , Sebastian Ullmann , Jens Lang

The paper discusses the spectrum of Toeplitz operators in Bargmann spaces. Our Toeplitz operators have real symbols with a variable sign and a compact support. A class of examples is considered where the asymptotics of the eigenvalues of…

Spectral Theory · Mathematics 2009-12-23 Alexander Pushnitski , Grigori Rozenblum

In this paper, we mainly study the necessary and sufficient conditions for the boundedness and compactness of Toeplitz operators on weighted Bergman spaces over a tubular domains by using the Carlson measures on tubular domains. We also…

Complex Variables · Mathematics 2024-04-26 Lvchang Li , Jiaqing Ding , Haichou Li

We study nonlinearly preconditioned gradient methods for smooth nonconvex optimization problems, focusing on sigmoid preconditioners that inherently perform a form of gradient clipping akin to the widely used gradient clipping technique.…

Optimization and Control · Mathematics 2025-10-14 Konstantinos Oikonomidis , Jan Quan , Panagiotis Patrinos

When the obstacle problem of clamped Kirchhoff plates is discretized by a partition of unity method, the resulting discrete variational inequalities can be solved by a primal-dual active set algorithm. In this paper we develop and analyze…

Numerical Analysis · Mathematics 2018-09-18 Susanne C. Brenner , Christopher B. Davis , Li-yeng Sung

In this article, we completely characterize the Berezin range of Toeplitz operators with harmonic symbols acting on weighted Bergman spaces, illustrating the necessity of the harmonicity condition through examples. We then introduce a new…

Functional Analysis · Mathematics 2025-06-05 Anirban Sen , Somdatta Barik , Kallol Paul

For truncated Toeplitz operators, which are compressions of multiplication operators to model subspaces of the Hardy space $H^2$, we obtain criteria for commutation relations. The results show an analogy to the case of Toeplitz matrices,…

Functional Analysis · Mathematics 2013-05-30 Isabelle Chalendar , Dan Timotin

A new polynomial preconditioner for symmetric complex linear systems based on Hermitian and skew-Hermitian splitting (HSS) for complex symmetric linear systems is herein presented. It applies to Conjugate Orthogonal Conjugate Gradient…

Numerical Analysis · Mathematics 2016-04-18 Enrico Bertolazzi , Marco Frego

We investigate the commutativity and semi-commutativity of generalized singular integral operators of the form $P_{+} f P_{+} + P_{-} g P_{+} + P_{+} u P_{-} + P_{-} v P_{-}$ on $L^{2}$, where $P_{+}$ denotes the Riesz projection and…

Functional Analysis · Mathematics 2026-03-12 Yuanqi Sang , Liankuo Zhao

In this work, we propose a simple yet generic preconditioned Krylov subspace method for a large class of nonsymmetric block Toeplitz all-at-once systems arising from discretizing evolutionary partial differential equations. Namely, our main…

Numerical Analysis · Mathematics 2023-08-11 Sean Hon , Po Yin Fung , Jiamei Dong , Stefano Serra-Capizzano

In this paper, we first introduce a preconditioned primal-dual gradient algorithm based on conjugate duality theory. This algorithm is designed to solve composite optimization problem whose objective function consists of two summands: a…

Optimization and Control · Mathematics 2023-09-27 Jiahong Guo , Xiao Wang , Xiantao Xiao

The characterization of normal truncated Toepltiz operators is first given by Chalendar and Timotin. We give an elementary proof of their result without using the algebraic properties of truncated Toeplitz operators.

Functional Analysis · Mathematics 2017-10-18 Cheng Chu

This paper presents fast solvers for linear systems arising from the discretization of fractional nonlinear Schr\"odinger equations with Riesz derivatives and attractive nonlinearities. These systems are characterized by complex symmetry,…

Numerical Analysis · Mathematics 2024-10-07 Chao Chen , Xi Yang , Fei-Yan Zhang

We analyze a preconditioned subgradient method for optimizing composite functions $h \circ c$, where $h$ is a locally Lipschitz function and $c$ is a smooth nonlinear mapping. We prove that when $c$ satisfies a constant rank property and…

Optimization and Control · Mathematics 2022-12-29 Damek Davis , Tao Jiang
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