Operator theory is a branch of functional analysis that focuses on the study of linear operators acting on function spaces. It deals with concepts such as bounded and unbounded operators, spectra, eigenvalues, and eigenfunctions, making it crucial in various areas of mathematics, physics, and engineering.
Differential operators are mathematical operators defined as a function of the differentiation operator. They are used in the field of calculus, particularly in the study of differential equations and analysis. In general terms, a differential operator acts on a function to produce another function, often involving derivatives of the original function. The most common differential operator is the derivative itself, denoted as \( D \) or \( \frac{d}{dx} \).
Functional calculus is a mathematical framework that extends the notion of functions applied to real or complex numbers to functions applied to linear operators, particularly in the context of functional analysis and operator theory. It allows mathematicians and physicists to manipulate operators (usually bounded or unbounded linear operators on a Hilbert space) using functions. This methodology is particularly useful in quantum mechanics and other fields involving differential operators.
Operator theorists are mathematicians who specialize in the study of operators on function spaces, mainly within the framework of functional analysis. This field investigates various types of linear operators, which are mappings that take one function (or vector) to another while preserving the structure of a vector space. Key areas of focus within operator theory include: 1. **Linear Operators**: Understanding how linear mappings act on function spaces, particularly Hilbert and Banach spaces.
The term "+ h.c." typically appears in the context of quantum field theory and particle physics, where it stands for "Hermitian conjugate." In mathematical expressions, particularly in Hamiltonians or Lagrangians, a term may be added with "h.c." to indicate that the Hermitian conjugate of the preceding term should also be included in the full expression.
An AW*-algebra, or *Algebra of von Neumann Algebras*, is a type of algebraic structure that arises in the context of functional analysis and operator theory. It is a generalization of von Neumann algebras and is named after the mathematicians A. W. (Alfred W. von Neumann) and others who contributed to the development of operator algebras.
An "affiliated operator" typically refers to a company or entity that is associated with or connected to another organization in a particular industry. This term can apply in various contexts, such as in telecommunications, broadcasting, or other business sectors where companies collaborate or share operations. In the context of regulated industries, an affiliated operator might be a partner or subsidiary that provides services or products under the brand or operational guidelines of the primary organization.
The Approximation Property is a concept that arises in functional analysis, particularly in the context of Banach spaces. It refers to a property of a Banach space that indicates how well elements of the space can be approximated by finite-dimensional subspaces.
The Banach–Stone theorem is a fundamental result in functional analysis that provides a characterization of certain types of continuous linear operators between spaces of continuous functions. Specifically, it deals with the relationship between spaces of continuous functions on compact Hausdorff spaces.
The Beltrami equation is a type of partial differential equation that arises in the study of complex analysis, differential geometry, and the theory of quasiconformal mappings. It provides a framework for analyzing certain types of mappings in geometric contexts.
The Berezin transform, also known as the Berezin integral or Berezin symbol, is a mathematical operation used in the context of quantization and the study of operators in quantum mechanics, particularly within the framework of the theory of pseudodifferential operators and the calculus of symbol. In essence, the Berezin transform allows one to associate an operator defined on a space of functions (often in a Hilbert space) with a corresponding function (or symbol) defined on the phase space.
Bergman space is a concept from functional analysis and complex analysis. It is named after the mathematician Stefan Bergman. Specifically, the Bergman space is a type of Hilbert space that consists of analytic functions defined on a domain in the complex plane, typically the unit disk or other bounded domains.
The Bounded Inverse Theorem is a result in functional analysis that deals with bounded linear operators between Banach spaces. It provides conditions under which the inverse of a bounded linear operator is also bounded. This theorem is particularly important in the context of linear operators because it helps establish when an operator has a well-defined and continuous (bounded) inverse.
The Browder-Minty theorem is a fundamental result in the field of convex analysis and optimization, particularly related to the study of variational inequalities and monotone operators. It establishes the existence of solutions to certain types of variational inequalities under specific conditions. In its most general form, the theorem addresses the following setting: 1. **Hilbert Spaces**: Consider a Hilbert space \( H \).
Calkin algebra refers to a specific type of algebraic structure in the realm of functional analysis, particularly associated with bounded linear operators on a Hilbert space. It is essentially the quotient algebra of bounded linear operators acting on a Hilbert space when identified modulo the ideal of compact operators.
The Commutant Lifting Theorem is a significant result in the field of operator theory and functional analysis, particularly within the context of multi-variable control theory and system theory. It provides a powerful tool for understanding how certain functions (or control systems) can be lifted from one context to another in a way that preserves some desired properties.
The term "composition operator" can refer to different concepts in various fields, primarily in mathematics, computer science, and logic. Here are a few interpretations depending on the context: ### 1. Mathematics (Function Composition) In mathematics, a composition operator usually refers to the process of combining two functions.
In operator theory, a contraction is a linear operator \( T \) defined on a normed vector space (often a Hilbert space or Banach space) that satisfies a specific condition regarding its operator norm.
The term "convexoid operator" does not appear to be a widely recognized concept in mathematics or operator theory as of my last knowledge update in October 2023. However, the prefix "convexoid" may suggest a connection to convex analysis or the study of convex sets and convex functions, which are fundamental topics in optimization and functional analysis.
The Cotlar–Stein lemma is a result in functional analysis, particularly in the theory of bounded operators on Hilbert spaces. It provides a criterion under which a certain type of operator can be shown to be compact. While the lemma itself can be quite specialized, its essence can be articulated as follows: Suppose \(T\) is a bounded linear operator on a Hilbert space \(H\).
In the context of mathematics, particularly in functional analysis and algebra, the term "crossed product" typically refers to a construction that combines a group with a ring to form a new, larger algebraic structure.
A De Branges space, named after the mathematician Louis de Branges, is a concept in functional analysis and operator theory that pertains to certain types of Hilbert spaces. Specifically, De Branges spaces are spaces of entire functions that exhibit particular growth properties and are associated with the theory of linear differential operators. In the context of entire functions, a De Branges space is typically defined by a sequence of complex numbers and involves a kernel function that generates a Hilbert space of entire functions.
A differential operator is a mathematical operator used to denote the process of differentiation. In the context of a function, it takes a function as its input and produces the derivative of that function as output. Differential operators are commonly used in calculus, physics, engineering, and many other fields to analyze and describe rates of change and various physical phenomena.
In operator theory, dilation refers to a specific concept particularly relevant in the study of linear operators on Hilbert spaces. The idea of dilation relates to the representation of certain types of operators (often bounded operators) in terms of larger, often simpler, operators. Dilation can be viewed from different perspectives, including matrix dilation, functional analytic dilation, and quantum mechanical contexts. ### 1. **Unitary Dilation**: A common type of dilation in operator theory is unitary dilation.
The Discrete Laplace operator, often referred to as the discrete Laplacian, is a crucial mathematical tool used primarily in the fields of numerical analysis, image processing, and physics when dealing with discrete data, such as grids or meshes. It is a finite difference analogue of the continuous Laplace operator, which captures the concept of local curvature or diffusion.
The Dixmier trace is an important concept in the field of functional analysis, particularly in the context of noncommutative geometry and the study of certain types of operators on Hilbert spaces. It is named after Jacques Dixmier, who introduced it. ### Definition The Dixmier trace is a type of trace functional that can be defined for certain unbounded, non-positive operators (often compact or quasi-compact) on a Hilbert space.
Douglas' lemma is a result in functional analysis, particularly in the study of certain types of operators on Hilbert spaces. It is often used in the context of the theory of positive operators and their spectral properties. The lemma typically states that if you have a positive operator \( T \) on a Hilbert space and you know that \( T \) is compact, then the range of \( T \) (i.e.
The Farrell-Markushevich theorem is a result in the field of algebraic topology, particularly concerning the study of manifolds and their homotopy types. It addresses the conditions under which the homotopy type of a manifold can be determined from its topological structure. Specifically, the theorem is often stated in the context of smooth manifolds and addresses the relationship between certain properties of manifolds and their homotopy equivalences.
In functional analysis, a **finite-rank operator** is a specific type of linear operator that maps a vector space to itself and has a finite-dimensional image.
Fuglede's theorem is a result in the field of mathematical analysis, particularly concerning the intersection of harmonics, geometry, and measure theory. It addresses the conditions under which a set can be decomposed into tiling shapes or onto other sets through translations.
The Gelfand representation is a powerful concept in the field of functional analysis and operator theory, specifically related to the study of commutative Banach algebras. Named after the mathematician Ilya Gelfand, the Gelfand representation provides a way to represent elements of a commutative Banach algebra as continuous functions on a compact Hausdorff space.
The Gelfand–Naimark theorem is a fundamental result in functional analysis and the theory of C*-algebras. It establishes a deep connection between C*-algebras and normed spaces, specifically in the context of representation theory.
The Grunsky matrix is a mathematical construct often used in complex analysis, particularly in the field of several complex variables and related areas. It is named after the mathematician F. W. Grunsky, who studied the properties of analytic functions on domains and their boundary behavior. In the context of harmonic or analytic functions, the Grunsky matrix is associated with the coefficients of certain power series expansions and can be used to study the relationships between these coefficients.
In quantum mechanics, the Hamiltonian is a fundamental operator that represents the total energy of a quantum system. It is typically denoted by the symbol \( \hat{H} \). The Hamiltonian plays a central role in the formulation of quantum mechanics and can be thought of as the quantum analog of the classical Hamiltonian function, which is used in Hamiltonian mechanics.
Hardy spaces are a class of function spaces that play a central role in complex analysis and several areas of harmonic analysis. They are primarily associated with functions that are analytic in a certain domain, typically within the unit disk in the complex plane, and have specific growth and boundary behavior.
Harmonic tensors are mathematical objects that generalize the concept of harmonic functions to the context of tensor fields. In the realm of differential geometry and mathematical physics, a harmonic tensor is typically defined as a tensor field that satisfies a particular differential equation analogous to the Laplace equation for scalar functions.
The Hermitian adjoint (or conjugate transpose) of a matrix is a fundamental concept in linear algebra, particularly in the context of complex vector spaces. For a given matrix \( A \), its Hermitian adjoint (denoted as \( A^\dagger \) or \( A^* \)) is obtained by taking the transpose of the matrix and then taking the complex conjugate of each entry.
A Hilbert \( C^* \)-module is an algebraic structure that arises in the context of functional analysis, particularly in the study of \( C^* \)-algebras. It generalizes the notion of a Hilbert space and incorporates additional algebraic structures.
The Hilbert–Schmidt theorem is a result in functional analysis concerning the compact operators on a Hilbert space. Specifically, it provides a characterization of compact operators in terms of their approximation by finite-rank operators. In more detail, the theorem states the following: 1. **Hilbert Space**: Let \( \mathcal{H} \) be a separable Hilbert space.
An indefinite inner product space is a vector space equipped with a bilinear (or sesquilinear) form, which is called an inner product, that allows for both positive and negative values. This type of inner product distinguishes itself from the more common inner product spaces that have definite inner products, where the inner product is always non-negative.
The term "index group" can refer to different concepts depending on the context in which it's used. Here are a few common interpretations: 1. **Finance and Investing**: In the financial world, an index group often refers to a collection of securities that are grouped together for the purpose of tracking their performance as a single unit. For example, stock market indices like the S&P 500 or the Dow Jones Industrial Average consist of a set of stocks that represent key segments of the market.
The International Workshop on Operator Theory and its Applications is a scholarly event that typically focuses on various aspects of operator theory, a branch of functional analysis dealing with linear operators on function spaces. This workshop gathers researchers, academics, and practitioners from around the world to discuss recent developments, insights, and applications of operator theory in various fields, including mathematics, physics, engineering, and other sciences. During the workshop, participants present their research findings, engage in discussions, and collaborate on new ideas.
The Jacobi operator, often encountered in the context of Riemannian geometry and mathematical analysis, refers to a mathematical object associated with the study of geodesics and curvature in a Riemannian manifold. In essence, the Jacobi operator plays a crucial role in understanding the behavior of geodesics and perturbations along them.
Jordan operator algebras are a type of algebraic structure that generalize certain properties of both associative algebras and von Neumann algebras, particularly in the context of non-associative algebra. The main focus of Jordan operator algebras is on the study of self-adjoint operators on Hilbert spaces and their relationships, which arise frequently in functional analysis and mathematical physics.
Kato's conjecture pertains to the field of number theory, specifically in the study of Galois representations and their connections to L-functions. It was proposed by the mathematician Kazuya Kato and relates to the values of certain zeta functions and L-functions at specific points, particularly in the context of algebraic varieties and arithmetic geometry.
Kuiper's theorem is a result in the field of functional analysis, specifically within the study of Banach spaces and the theory of linear operators. It characterizes when a linear operator between two Banach spaces is compact. The theorem states that if \( X \) and \( Y \) are two Banach spaces, and if \( T: X \to Y \) is a continuous linear operator, then the following are equivalent: 1. The operator \( T \) is compact.
The Littlewood Subordination Theorem is a result in complex analysis, particularly in the study of analytic functions. It provides a criterion for the relationship between two analytic functions defined in a given domain.
Lomonosov's invariant subspace theorem is a result in functional analysis, particularly in the theory of operators on Hilbert spaces. The theorem is named after the Russian mathematician M. Yu. Lomonosov, who proved it in the 1970s.
In the context of Banach spaces and functional analysis, "multipliers" and "centralizers" refer to specific types of linear operators that act on spaces of functions or sequences, and are of interest in areas such as harmonic analysis, operator theory, and the study of functional spaces. ### Multipliers In the context of Banach spaces or spaces of functions (often within the framework of Fourier analysis), a **multiplier** is typically defined in relation to Fourier transforms or similar transforms.
Mutually unbiased bases (MUBs) are a fundamental concept in quantum mechanics and quantum information theory. They relate to how measurements can be performed in quantum systems, particularly those represented in a Hilbert space.
Naimark's dilation theorem is a result in functional analysis, particularly in the area of operator theory. It provides a way to extend a bounded positive operator on a Hilbert space into a larger space, allowing for a representation that simplifies the analysis of the operator.
The Nemytskii operator, also known as the Nemytskii (or Nemytski) type operator, is a mathematical operator that arises in the context of functional analysis and differential equations. It is primarily used to transform functions in a way that allows for the study of non-linear problems.
Nest algebra is a concept from functional analysis, specifically in the study of operator algebras. It is associated with certain types of linear operators on Hilbert spaces, and it has applications in various areas including non-commutative geometry and operator theory. A **nest** is a collection of closed subspaces of a Hilbert space that is closed under taking closures and is totally ordered by inclusion.
The Neumann-Poincaré (NP) operator is a fundamental concept in potential theory and mathematical physics, particularly in the study of boundary value problems for the Laplace operator. It is primarily concerned with the behavior of harmonic functions and their boundary values. To understand the NP operator, consider a domain \(D\) in \(\mathbb{R}^n\) and its boundary \(\partial D\).
In linear algebra, a nilpotent operator (or nilpotent matrix) is a linear transformation \( T \) (or a square matrix \( A \)) such that there exists a positive integer \( k \) for which \( T^k = 0 \) (the zero operator) or \( A^k = 0 \) (the zero matrix).
A **nuclear C*-algebra** is a specific type of C*-algebra that possesses certain desirable properties, particularly in the context of approximating its structure by simpler algebras. The concept of nuclearity is particularly important in functional analysis and noncommutative geometry.
"Nuclear space" can refer to different concepts depending on the context. Here are a couple of interpretations: 1. **Mathematical Context (Nuclear Spaces in Functional Analysis)**: In functional analysis, a "nuclear space" is a type of topological vector space that has certain properties making it "nice" for various mathematical analyses, particularly in relation to nuclear operators and nuclear norms.
In physics, particularly in quantum mechanics, an operator is a mathematical object that acts on the elements of a vector space to produce another element within that space. Operators are used to represent physical observables, such as position, momentum, and energy. ### Key Concepts: 1. **Linear Operators**: In quantum mechanics, operators are usually linear.
Operator algebra is a branch of mathematics that deals with the study of operators, particularly in the context of functional analysis and quantum mechanics. It focuses on the algebraic structures that arise from collections of bounded or unbounded linear operators acting on a Hilbert space or a Banach space. Key concepts in operator algebra include: 1. **Operators:** These are mathematical entities that act on elements of a vector space. In quantum mechanics, operators represent observable quantities (like position, momentum, and energy).
The operator norm is a way to measure the "size" or "length" of a linear operator between two normed vector spaces.
An **operator space** is a specific type of mathematical structure used primarily in functional analysis and operator theory. It is a complete normed space of bounded linear operators on a Hilbert space (or a more general Banach space) endowed with a certain additional structure. The more formal notion of operator spaces arose in the context of the study of noncommutative geometry and quantum physics, but it has also found applications in various areas of mathematics, including the theory of Banach spaces and matrix theory.
The term "operator system" can refer to different concepts depending on the context. Here are a few interpretations: 1. **Mathematical Operator Systems**: In mathematics, particularly in functional analysis and operator algebra, an operator system is a certain type of self-adjoint space of operators on a Hilbert space that has a structure similar to that of a C*-algebra but is more general.
Oscillator representation refers to a mathematical or physical model that describes systems that exhibit oscillatory behavior. Oscillators are systems that can undergo repetitive cycles of motion or fluctuation around an equilibrium position over time, and they are common in various fields such as physics, engineering, biology, and economics. In the context of dynamics, an oscillator can be characterized through its equations of motion, which typically describe how the position and velocity of the system change over time.
A **partial isometry** is a concept in functional analysis and operator theory, particularly in the context of Hilbert spaces.
A positive-definite function on a group is a mathematical concept that arises in the context of representation theory, harmonic analysis, and probability theory. Specifically, a function defined on a group is called positive-definite if it satisfies certain properties related to sums and inner products. Formally, let \( G \) be a group, and let \( f: G \to \mathbb{C} \) (or \( \mathbb{R} \)) be a function.
A positive-definite kernel is a mathematical function used primarily in the fields of machine learning, statistics, and functional analysis, particularly in the context of kernel methods, such as Support Vector Machines and Gaussian Processes.
In the context of Hilbert spaces and functional analysis, a **positive operator** is a specific type of bounded linear operator that acts on a Hilbert space. Here's a more detailed explanation: ### Definitions and Properties 1. **Hilbert Space**: A Hilbert space is a complete vector space equipped with an inner product, which allows for the generalization of concepts such as length and angle.
In the context of linear algebra and functional analysis, the **numerical range** of an operator (or matrix) is a set that captures certain properties of that operator.
In the context of \( C^* \)-algebras, the **real rank** is a notion that captures information about the structure of the algebra, specifically its ideal structure and the behavior of self-adjoint elements.
The Riesz–Thorin theorem is a fundamental result in functional analysis, specifically in the study of interpolation of linear operators between L^p spaces. It provides a powerful method for establishing the boundedness of a linear operator that is bounded on two different L^p spaces, allowing us to extend this boundedness to intermediate spaces.
SIC-POVM stands for Symmetric Informationally Complete Positive Operator-Valued Measure. It is a concept in quantum mechanics and quantum information theory related to the measurement process. ### Key Concepts: 1. **Positive Operator-Valued Measure (POVM)**: A POVM is a generalization of the notion of a measurement in quantum mechanics.
Schatten class operators, denoted as \( \mathcal{S}_p \) for \( p \geq 1 \), are a generalization of compact operators on a Hilbert space. They are defined in terms of the singular values of the operators.
The Schatten norm is a family of norms that are used in the context of operator theory and matrix analysis. It generalizes the concept of vector norms to operators (or matrices) and is particularly useful in quantum mechanics, functional analysis, and numerical linear algebra. For an operator \( A \) on a Hilbert space, the Schatten \( p \)-norm is defined in terms of the singular values of \( A \).
The Schröder–Bernstein theorem, traditionally framed in set theory, states that if there are injective (one-to-one) functions \( f: A \to B \) and \( g: B \to A \) between two sets \( A \) and \( B \), then there exists a bijection (one-to-one and onto function) between \( A \) and \( B \).
A sectorial operator is a type of linear operator in functional analysis that generalizes the concept of self-adjoint operators. Sectorial operators arise in the study of partial differential equations and the theory of semigroups of operators. They are particularly important in the context of evolution equations and their solutions. An operator \( A \) on a Banach space \( X \) is said to be sectorial if it has a sector in the complex plane where its spectrum lies.
The Sherman–Takeda theorem is a result in functional analysis, specifically concerning the representation of certain types of operators on Hilbert spaces. It is particularly relevant in the context of non-negative operators and their associated positive forms.
Singular integral operators of convolution type are a particular class of linear operators that arise in the study of functional analysis, partial differential equations, and harmonic analysis. These operators are defined through convolution with a kernel (a function that describes the behavior of the operator) which typically has certain singular properties.
Singular integral operators are a class of mathematical operators that arise in various areas of analysis, particularly in the study of partial differential equations, harmonic analysis, and complex analysis. When we talk about singular integral operators on closed curves, we are often considering how these operators act on functions defined on the plane or in higher-dimensional spaces, particularly in relation to their behavior around singularities or points of discontinuity.
Sobolev spaces are a fundamental concept in functional analysis and partial differential equations (PDEs), providing a framework for studying functions with certain smoothness properties. For planar domains (i.e.
The Stein–Strömberg theorem is a result in the field of harmonic analysis and complex analysis, particularly concerning the behavior of functions defined on certain sets and their Fourier transforms. It provides bounds on the integral of the exponential of a function, specifically concerning the Plancherel measure associated with it. In essence, the theorem states conditions under which the Fourier transform of a function within a specific space will be contained in another function space, highlighting the interplay between various functional spaces.
The Stinespring dilation theorem is a fundamental result in the field of operator algebras and quantum mechanics that provides a way to represent completely positive (CP) maps on a Hilbert space. It essentially states that any completely positive map can be dilated to a unitary representation on a larger Hilbert space.
The term "subfactor" can refer to different concepts depending on the context in which it is used. Here are a few possible interpretations: 1. **Mathematics**: In number theory, a subfactor may refer to a factor of a number that is itself a smaller factor, or a subset of the factors that contribute to the overall factorization of a number.
In functional analysis, particularly in the context of operator theory, a **symmetrizable compact operator** is a specific type of bounded linear operator defined on a Hilbert space (or more generally, a Banach space) that satisfies certain symmetry properties. A compact operator \( T \) on a Hilbert space \( H \) is an operator such that the image of any bounded set under \( T \) is relatively compact, meaning its closure is compact.
Sz.-Nagy's dilation theorem is a result in operator theory, particularly in the study of contraction operators on Hilbert spaces. It provides a framework for understanding certain types of linear operators by representing them in a higher-dimensional space. The primary aim of the theorem is to "dilate" a given operator into a unitary operator, which preserves the properties of the original operator while allowing for a more thorough analysis.
Tomita–Takesaki theory is a fundamental framework in the field of operator algebras, specifically concerning von Neumann algebras. Developed by Masamichi Takesaki and others, it provides a robust mathematical structure for dealing with modular theory, which studies the relationship between von Neumann algebras and their associated states.
The topological tensor product is a generalization of the tensor product of vector spaces that incorporates topological structures. It is particularly relevant in functional analysis and the study of Banach spaces and locally convex spaces. To understand it, we need to start with the basic concepts of tensor products and topology.
In mathematics, particularly in the field of linear algebra and functional analysis, the trace operator is a function that assigns a single number to a square matrix (or more generally, to a linear operator). The trace of a matrix is defined as the sum of its diagonal elements.
A tree kernel is a type of kernel function used primarily in the field of machine learning and natural language processing, particularly for tasks involving hierarchical or structured data, such as trees. It allows the comparison of tree-structured objects by quantifying the similarity between them. ### Key Points about Tree Kernels: 1. **Structured Data**: Tree structures are common in many applications, such as parse trees in natural language processing, XML data, and hierarchical data in bioinformatics.
Uniformly bounded representations are a concept from the field of functional analysis and representation theory, often specifically related to representation theory of groups and algebras. The idea centers around the notion of boundedness across a family of representations. In more detail, suppose we have a family of representations \((\pi_\alpha)_{\alpha \in A}\) of a group \(G\) on a collection of Banach spaces \(X_\alpha\) indexed by some set \(A\).
The Volterra operator is a type of integral operator that is commonly encountered in the study of functional analysis and integral equations. It is typically used to describe processes that can be modeled by integral transforms.
Von Neumann's theorem can refer to different results in various fields of mathematics and economics, depending on the context. Here are two prominent examples: 1. **Von Neumann's Minimax Theorem**: In game theory, this theorem, established by John von Neumann, states that in a two-player zero-sum game, there exists a value (the minimax value) that represents the optimal outcome for both players, assuming each player plays optimally.
The von Neumann bicommutant theorem is a fundamental result in the field of functional analysis and operator theory, particularly in the study of von Neumann algebras and von Neumann spaces (which are a type of Hilbert space). The theorem provides a characterization of certain types of operator sets and their closures in the context of weak operator topology.
The Weyl–von Neumann theorem is a result in the theory of linear operators, particularly in the realm of functional analysis and operator theory. It addresses the spectral properties of self-adjoint or symmetric operators in Hilbert spaces. Specifically, the theorem characterizes the absolutely continuous spectrum of a bounded self-adjoint operator.
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