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Some consequences of promoting the object of noncommutativity ${\mathbf \theta}^{ij}$ to an operator in Hilbert space are explored. Consequently, a consistent algebra involving the enlarged set of canonical operators is obtained, which…

High Energy Physics - Theory · Physics 2008-11-26 Ricardo Amorim

We broaden the domain of the Fourier transform to contain all distributions without using the Paley-Wiener theorem and devise a new weak formulation built upon this extension. This formulation is applicable to evolution equations involving…

Analysis of PDEs · Mathematics 2025-09-16 Jae-Hwan Choi , Ildoo Kim

We extend some results of group representation theory and von Neumann algebras to the quaternionic Hilbert space case, proving the double commutant theorem (whose quaternionic proof requires a different procedure) and extend to the…

Mathematical Physics · Physics 2018-11-26 Valter Moretti , Marco Oppio

This paper deals with the possibility of transforming a weakly measurable function in a Hilbert space into a continuous frame by a metric operator, i.e., a strictly positive self-adjoint operator. A necessary condition is that the domain of…

Functional Analysis · Mathematics 2020-02-27 J-P. Antoine , R. Corso , C. Trapani

In 2002, Littlejohn and Wellman developed a general left-definite theory for arbitrary self-adjoint operators in a Hilbert space that are bounded below by a positive constant. Zettl and Littlejohn, in 2005, applied this general theory to…

Classical Analysis and ODEs · Mathematics 2021-09-07 Lance L. Littlejohn , Edward L. Smith , Anton Zettl

We study causal self-attention dynamics -- a toy model for decoder Transformers -- which we interpret as a non-exchangeable interacting particle system. Adapting cumulant expansions to the triangular causal dependency structure of the…

Analysis of PDEs · Mathematics 2026-05-12 Mitia Duerinckx , Borjan Geshkovski , Stefano Rossi

We revisit the work of Rieffel and van Daele on pairs of subspaces of a real Hilbert space, while relaxing as much as possible the assumption that all the relevant subspaces are in general positions with respect to each other. We work out,…

Mathematical Physics · Physics 2025-03-10 Jan Naudts , Jun Zhang

Motivated by potential theory on discrete spaces, we study a family of unbounded Hermitian operators in Hilbert space which generalize the usual graph-theoretic discrete Laplacian. These operators are discrete analogues of the classical…

Functional Analysis · Mathematics 2011-02-01 Palle E. T. Jorgensen , Erin P. J. Pearse

Inspired by the success of recent data augmentation methods for signals which act on time-frequency representations, we introduce an operator which convolves the short-time Fourier transform of a signal with a specified kernel. Analytical…

Functional Analysis · Mathematics 2025-10-17 Simon Halvdansson

The Bayesian approach to ill-posed operator equations in Hilbert space recently gained attraction. In this context, and when the prior distribution is Gaussian, then two operators play a significant role, the one which governs the operator…

Statistics Theory · Mathematics 2019-08-19 Peter Mathé

Standard subspaces are closed real subspaces of a complex Hilbert space that appear naturally in Tomita-Takesaki modular theory and its applications to quantum field theory. In this article, inclusions of standard subspaces are studied…

Operator Algebras · Mathematics 2025-06-23 Ricardo Correa da Silva , Gandalf Lechner

In this work, the problem of learning Koopman operator of a discrete-time autonomous system is considered. The learning problem is formulated as a constrained regularized empirical loss minimization in the infinite-dimensional space of…

Systems and Control · Electrical Eng. & Systems 2022-08-04 Mohammad Khosravi

We consider a simple model of partially expanding map on the torus. We study the spectrum of the Ruelle transfer operator and show that in the limit of high frequencies in the neutral direction (this is a semiclassical limit), the spectrum…

Dynamical Systems · Mathematics 2009-03-17 Frédéric Faure

Operator spreading provides a new characterization of quantum chaos beyond the semi-classical limit. There are two complementary views of how the characteristic size of an operator, also known as the butterfly light cone, grows under…

Statistical Mechanics · Physics 2025-05-13 Tianci Zhou , Éric Brunet , Xiaolin Qi

We use the boundary triplet approach to extend the classical concept of perturbation determinants to a more general setup. In particular, we examine the concept of perturbation determinants to pairs of proper extensions of closed symmetric…

Mathematical Physics · Physics 2013-01-01 Mark M. Malamud , Hagen Neidhardt

Transformer architectures have achieved remarkable empirical success in modeling contextual relations, yet a clear understanding of their expressive power is still lacking. In this work, we introduce a measure-theoretic framework in which…

Machine Learning · Statistics 2026-05-19 Demián Fraiman

We solve the problem of Fourier transformation for the one-dimensional $q$-deformed Heisenberg algebra. Starting from a matrix representation of this algebra we observe that momentum and position are unbounded operators in the Hilbert…

High Energy Physics - Theory · Physics 2008-02-03 J. Schwenk

Floquet theory combined with the generalized Van Vleck nearly degenerate perturbation theory, has been widely employed for studying various two-level systems that are driven by external fields via the time-dependent longitudinal (i.e.,…

Quantum Physics · Physics 2020-02-28 Yingying Han , Xiao-Qing Luo , Tie-Fu Li , Wenxian Zhang

We study three integrals related to the celebrated pair correlation conjecture of H. L. Montgomery. The first is the integral of Montgomery's function $F(\alpha, T)$ in bounded intervals, the second is an integral introduced by Selberg…

Number Theory · Mathematics 2022-02-21 Emanuel Carneiro , Vorrapan Chandee , Andrés Chirre , Micah B. Milinovich

Transformer based language models exhibit intelligent behaviors such as understanding natural language, recognizing patterns, acquiring knowledge, reasoning, planning, reflecting and using tools. This paper explores how their underlying…

Machine Learning · Computer Science 2023-11-15 Sumeet S. Singh