Problem: Let T be a bounded linear operator on a Hilbert space H such that T is self-adjoint. Prove that the operator T admits a spectral decomposition. Specifically, show that there exists a projection-valued measure E on the Borel sets of the spectrum o(T) of T such that: T = AE(A). Outline all the necessary steps in the proof, including: ⚫ The concepts of spectral measures and the spectral theorem. • The existence of the spectral measure. • How the operator T is represented as an integral over its spectrum. • The connection between the spectral theorem and functional calculus. Solution Outline: 1. Self-Adjointness and Spectral Theorem: Begin by stating the spectral theorem for bounded self-adjoint operators. Recall that T is diagonalizable in the sense of its spectral measure. 2. Definition of Spectral Measure: Define the spectral measure E, which is a projection-valued measure. 3. Functional Calculus: Use functional calculus to construct the spectral representation of T. 4. Integration over Spectrum: Show that I can be written as an integral over the spectrum using E. 5. Projection-valued Measure: Prove that the spectral measure satisfies the properties of a projection-valued measure, ensuring that T is appropriately represented by the spectral integral.
Problem: Let T be a bounded linear operator on a Hilbert space H such that T is self-adjoint. Prove that the operator T admits a spectral decomposition. Specifically, show that there exists a projection-valued measure E on the Borel sets of the spectrum o(T) of T such that: T = AE(A). Outline all the necessary steps in the proof, including: ⚫ The concepts of spectral measures and the spectral theorem. • The existence of the spectral measure. • How the operator T is represented as an integral over its spectrum. • The connection between the spectral theorem and functional calculus. Solution Outline: 1. Self-Adjointness and Spectral Theorem: Begin by stating the spectral theorem for bounded self-adjoint operators. Recall that T is diagonalizable in the sense of its spectral measure. 2. Definition of Spectral Measure: Define the spectral measure E, which is a projection-valued measure. 3. Functional Calculus: Use functional calculus to construct the spectral representation of T. 4. Integration over Spectrum: Show that I can be written as an integral over the spectrum using E. 5. Projection-valued Measure: Prove that the spectral measure satisfies the properties of a projection-valued measure, ensuring that T is appropriately represented by the spectral integral.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter1: Vectors
Section1.1: The Geometry And Algebra Of Vectors
Problem 24EQ
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Transcribed Image Text:Problem: Let T be a bounded linear operator on a Hilbert space H such that T is self-adjoint. Prove
that the operator T admits a spectral decomposition. Specifically, show that there exists a
projection-valued measure E on the Borel sets of the spectrum o(T) of T such that:
T
= AE(A).
Outline all the necessary steps in the proof, including:
⚫ The concepts of spectral measures and the spectral theorem.
• The existence of the spectral measure.
• How the operator T is represented as an integral over its spectrum.
• The connection between the spectral theorem and functional calculus.
Solution Outline:
1. Self-Adjointness and Spectral Theorem: Begin by stating the spectral theorem for bounded
self-adjoint operators. Recall that T is diagonalizable in the sense of its spectral measure.
2. Definition of Spectral Measure: Define the spectral measure E, which is a projection-valued
measure.
3. Functional Calculus: Use functional calculus to construct the spectral representation of T.
4. Integration over Spectrum: Show that I can be written as an integral over the spectrum using
E.
5. Projection-valued Measure: Prove that the spectral measure satisfies the properties of a
projection-valued measure, ensuring that T is appropriately represented by the spectral
integral.
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