English
Related papers

Related papers: Generalized Double Operator Integrals: Finite Dime…

200 papers

Continuous spectrum operators (CSOs), characterized by spectra comprising continuous intervals rather than discrete eigenvalues, are pivotal in quantum mechanics, wave propagation, and systems governed by partial differential equations.…

Functional Analysis · Mathematics 2025-05-06 Shih-Yu Chang

Multiple Operator Integrals (MOIs) have played a foundational role in operator theory and functional calculus, particularly for analyzing Hermitian matrices via spectral decomposition. Conventional MOIs rely on the assumption of…

Functional Analysis · Mathematics 2025-06-26 Shih-Yu Chang

Operators with continuous spectra naturally arise in spectral theory, quantum mechanics, automorphic forms, and noncommutative geometry. However, analyzing such operators, particularly in the non-selfadjoint setting, remains challenging due…

Functional Analysis · Mathematics 2025-08-01 Shih-Yu Chang

Generalized Fourier integral operators (FIOs) acting on Colombeau algebras are defined. This is based on a theory of generalized oscillatory integrals (OIs) whose phase functions as well as amplitudes may be generalized functions of…

Analysis of PDEs · Mathematics 2008-03-04 Claudia Garetto

In this article, a theory of generalized oscillatory integrals (OIs) is developed whose phase functions as well as amplitudes may be generalized functions of Colombeau type. Based on this, generalized Fourier integral operators (FIOs)…

Analysis of PDEs · Mathematics 2007-05-23 Claudia Garetto , Guenther Hoermann , Michael Oberguggenberger

We push the definition of multiple operator integrals (MOIs) into the realm of unbounded operators, using the pseudodifferential calculus from the works of Connes and Moscovici, Higson, and Guillemin. This in particular provides a natural…

Functional Analysis · Mathematics 2024-04-26 Eva-Maria Hekkelman , Edward McDonald , Teun D. H. van Nuland

The paper presents an interesting mathematical feedback between the formalism of coherent states and the field of integrals and integral representations involving special functions. This materializes through an easy and fast method to…

Quantum Physics · Physics 2024-08-21 Dušan Popov

A multiple operator integral (MOI) is an indispensable tool in several branches of noncommutative analysis. However, there are substantial technical issues with the existing literature on the "separation of variables" approach to defining…

Operator Algebras · Mathematics 2023-12-27 Evangelos A. Nikitopoulos

We aim to give a self-contained and detailed yet simplified account of the foundations of the theory of double operator integrals, in order to provide an accessible entry point to the theory. We make two new contributions to these…

Mathematical Physics · Physics 2025-10-31 Robert Ferydouni , Daniel D. Spiegel

We establish universality and expression rate bounds for a class of neural Deep Operator Networks (DON) emulating Lipschitz (or H\"older) continuous maps $\mathcal G:\mathcal X\to\mathcal Y$ between (subsets of) separable Hilbert spaces…

Numerical Analysis · Mathematics 2023-07-20 Christoph Schwab , Andreas Stein , Jakob Zech

The introduction of Schur multipliers into the context of Double Operator Integrals (DOIs) was proposed by V. V. Peller in 1985. This work extends theorem on Schur multipliers from measurable functions to their closure space and generalizes…

Probability · Mathematics 2022-10-19 Shih-Yu Chang

The aim of this paper is to develop an approach to obtain self-adjoint extensions of symmetric operators acting on anti-dual pairs. The main advantage of such a result is that it can be applied for structures not carrying a Hilbert space…

Functional Analysis · Mathematics 2020-02-17 Zsigmond Tarcsay , Tamás Titkos

This paper investigates the distributed fixed point finding problem for a global operator over a directed and unbalanced multi-agent network, where the global operator is quasinonexpansive and only partially accessible to each individual…

Optimization and Control · Mathematics 2021-07-13 Xiuxian Li , Min Meng , Lihua Xie

We develop a duality theory for unbounded Hermitian operators with dense domain in Hilbert space. As is known, the obstruction for a Hermitian operator to be selfadjoint or to have selfadjoint extensions is measured by a pair of deficiency…

Mathematical Physics · Physics 2009-04-13 Palle E. T. Jorgensen

For bounded Lebesgue measurable functions $f,g,\phi$ and $\psi$ on the unit circle, $P_{+}fP_{+}+P_{-}gP_{+} +P_{+}\phi P_{-}+P_{-}\psi P_{-}$ is called a generalized singular integral operator (GSIO) on $L^{2}(\mathbb{T})$, where $P_{+}$…

Functional Analysis · Mathematics 2022-03-10 Yuanqi Sang

The representation theory of the generalized deformed oscillator algebras (GDOA's) is developed. GDOA's are generated by the four operators ${1,a,a^{\dag},N}$. Their commutators and Hermiticity properties are those of the boson oscillator…

q-alg · Mathematics 2009-10-30 C. Quesne , N. Vansteenkiste

Transformer architectures are typically described in algorithmic and statistical terms, leaving their internal mechanics without a familiar structural language for researchers trained in physical theories. To bridge this gap, we develop a…

Disordered Systems and Neural Networks · Physics 2026-03-18 Po-Hao Chang

Learning dynamical systems through operator-theoretic representations provides a powerful framework for analyzing complex dynamics, as spectral quantities such as eigenvalues and invariant structures encode characteristic time scales and…

Machine Learning · Statistics 2026-05-19 Thibaut Germain , Sami Chemlal , Rémi Flamary , Vladimir R. Kostic , Karim Lounici

We propose a nonlocal extension of the generalized Dirac oscillator (GDO) in $(1+1)$ dimensions by replacing the multiplicative interaction $f(x)$ with an integral operator $\hat F$ with kernel $f(x,x')$. The resulting Dirac equation…

Quantum Physics · Physics 2026-03-10 Abdelmalek Boumali

Deep learning methods have proven capable of recovering operators between high-dimensional spaces, such as solution maps of PDEs and similar objects in mathematical physics, from very few training samples. This phenomenon of data-efficiency…

Machine Learning · Computer Science 2025-12-11 T. Mitchell Roddenberry , Leo Tzou , Ivan Dokmanić , Maarten V. de Hoop , Richard G. Baraniuk
‹ Prev 1 2 3 10 Next ›