Let H be an infinite-dimensional separable Hilbert space, and let K: HH be a compact self- adjoint operator. 1. Spectral Decomposition: Show that K can be expressed as K = -Ση(,en)ens n=1 where {e} is an orthonormal basis of H consisting of eigenvectors of K, and {A,,} is a sequence of real numbers converging to zero. 2. Singular Spectral Measures: Prove that the spectral measure E associated with K is purely atomic, and each atom corresponds to an eigenvalue >,, with multiplicity equal to the dimension of the corresponding eigenspace. 3. Measure-Theoretic Implications: Suppose K is trace-class. Show that the trace of K can be expressed as Τι(Κ) = Σλη, n=1 and discuss the measure-theoretic conditions under which this equality holds, particularly in relation to the convergence of the series and the properties of the spectral measure E.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
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Chapter5: Orthogonality
Section5.4: Orthogonal Diagonalization Of Symmetric Matrices
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Let H be an infinite-dimensional separable Hilbert space, and let K: HH be a compact self-
adjoint operator.
1. Spectral Decomposition: Show that K can be expressed as
K
=
-Ση(,en)ens
n=1
where {e} is an orthonormal basis of H consisting of eigenvectors of K, and {A,,} is a
sequence of real numbers converging to zero.
2. Singular Spectral Measures: Prove that the spectral measure E associated with K is purely
atomic, and each atom corresponds to an eigenvalue >,, with multiplicity equal to the
dimension of the corresponding eigenspace.
3. Measure-Theoretic Implications: Suppose K is trace-class. Show that the trace of K can be
expressed as
Τι(Κ) = Σλη,
n=1
and discuss the measure-theoretic conditions under which this equality holds, particularly in
relation to the convergence of the series and the properties of the spectral measure E.
Transcribed Image Text:Let H be an infinite-dimensional separable Hilbert space, and let K: HH be a compact self- adjoint operator. 1. Spectral Decomposition: Show that K can be expressed as K = -Ση(,en)ens n=1 where {e} is an orthonormal basis of H consisting of eigenvectors of K, and {A,,} is a sequence of real numbers converging to zero. 2. Singular Spectral Measures: Prove that the spectral measure E associated with K is purely atomic, and each atom corresponds to an eigenvalue >,, with multiplicity equal to the dimension of the corresponding eigenspace. 3. Measure-Theoretic Implications: Suppose K is trace-class. Show that the trace of K can be expressed as Τι(Κ) = Σλη, n=1 and discuss the measure-theoretic conditions under which this equality holds, particularly in relation to the convergence of the series and the properties of the spectral measure E.
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