The evolution and applications of operator theory: From classical problems to scientific machine learning

This paper presents a conceptual and historical overview of operator theory as a unifying framework in mathematics and physics. From its roots in differential equations and boundary value problems, we trace the development of integral operators, spectral theory, and Hilbert space formalism, culminating in the axiomatization of unbounded and self-adjoint operators. We highlight the foundational role of operator algebras in quantum theory and noncommutative geometry, and explore modern applications in quantum information and data science. Emphasizing the spectral perspective, we show how operator theory connects analysis, geometry, and dynamics across classical and contemporary domains.

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Publication Details

Journal
Journal of Mathematical Physics
Published
2025-09-01
DOI
https://doi.org/10.1063/5.0195128
Primary Topic
Quantum Mechanics and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

The evolution and applications of operator theory: From classical problems to scientific machine learning

Joseph Kouneiher
Journal of Mathematical Physics
Quantum Mechanics and Applications
article

The evolution and applications of operator theory: From classical problems to scientific machine learning

Joseph Kouneiher
article en

Abstract

This paper presents a conceptual and historical overview of operator theory as a unifying framework in mathematics and physics. From its roots in differential equations and boundary value problems, we trace the development of integral operators, spectral theory, and Hilbert space formalism, culminating in the axiomatization of unbounded and self-adjoint operators. We highlight the foundational role of operator algebras in quantum theory and noncommutative geometry, and explore modern applications in quantum information and data science. Emphasizing the spectral perspective, we show how operator theory connects analysis, geometry, and dynamics across classical and contemporary domains.

Journal of Mathematical PhysicsVol. 66(9)
Institut de Chimie de Nice (FR), Observatoire de la Côte d’Azur (FR), Cognition Behaviour Technology (FR)
Openalex Percentile: Top 82%
Quantum Mechanics and Applications
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The evolution and applications of operator theory: From classical problems to scientific machine learning — Joseph Kouneiher · Journal of Mathematical Physics (2025) | TGRS Research Map | TGRS