Reference book: 4° A' Bab B(A) BV, KREYSZIG B(X, Y) B(r) B(A) Co C C" C[a, b] Club) C(X, Y) Introductory Functional Analysis with Applications Complement of a set A 18, 609 Transpose of a matrix A 113 Space of bounded functions 228 Space of bounded functions 11 Space of functions of bounded variation 226 Space of bounded linear operators 118 Open ball 18 Closed bull 18 A sequence space 34 A sequence space 70 Complex plane or the field of complex numbers 6, 51 Unitary-space 6 Space of continuous functions 7 Space of continuously differentiable functions 110 Space of compact linear operators 411 Domain of an operator T83 d(x, y) Distance from a toy 3 dim X 6x 2-(E) 6(T) Dimension of a space X 54 Kronecker delta 114 Spectral family 494 Norm of a bounded linear functional 104 Graph of an operator T 292 Identity operator 84 Infimum (greatest lower bound) 619 A function space 62 [[a b] A sequence space 11 r L(X, Y) M (T) " и A sequence space 6 A space of linear operators 118 Annihilator of a set M 148 Null space of an operator T 83 Zero operator 84 Empty set 609 1.3-1 Definition (Ball and sphere). Given a point xo EX and a real number r>0, we define three types of sets: (a) B(xo; r) {xe X d(x, xo)0 there is a 8>0 such that (see Fig. 6) d(Tx, Txo)< for all x satisfying d(x, xo)<8. T is said to be continuous if it is continuous at every point of X. ■ 1.3-4 Theorem (Continuous mapping). A mapping T of a metric space X into a metric space Y is continuous if and only if the inverse image of any open subset of Y is an open subset of X. All the required definitions and theorems are attached, now need solution to given questions, stop copy pasting anything, I want fresh correct solutions, if you do not know the answers just skip it otherwise I will downvote you. Problem 1: Spectral Theorem for Compact Self-Adjoint Operators on Hilbert Spaces Statement: Let H be an infinite-dimensional separable Hilbert space over C, and let T: H→ H tea compact, self-adjoint operator. Tasks: 1. Eigenvalue Sequence Construction •Prove that the non-zero spectrum of T consists of a sequence {A} C IR converging to zero. Show that each A, has finite multiplicity. 2. Orthonormal Basis of Eigenvectors: •Demonstrate that there exists an orthonormal basis {e} for H consisting of eigenvectors of 1 3. Spectral Representation. Establish that I can be represented as 00 T-E) -1 where the series converges in the operator norm topology.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
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Chapter4: Eigenvalues And Eigenvectors
Section4.5: Iterative Methods For Computing Eigenvalues
Problem 51EQ
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Reference book:
4°
A'
Bab
B(A)
BV,
KREYSZIG
B(X, Y)
B(r)
B(A)
Co
C
C"
C[a, b]
Club)
C(X, Y)
Introductory
Functional
Analysis with
Applications
Complement of a set A
18, 609
Transpose of a matrix A 113
Space of bounded functions 228
Space of bounded functions 11
Space of functions of bounded variation 226
Space of bounded linear operators 118
Open ball 18
Closed bull 18
A sequence space 34
A sequence space 70
Complex plane or the field of complex numbers 6, 51
Unitary-space 6
Space of continuous functions 7
Space of continuously differentiable functions 110
Space of compact linear operators 411
Domain of an operator T83
d(x, y)
Distance from a toy 3
dim
X
6x
2-(E)
6(T)
Dimension of a space X 54
Kronecker delta 114
Spectral family 494
Norm of a bounded linear functional 104
Graph of an operator T 292
Identity operator 84
Infimum (greatest lower bound) 619
A function space 62
[[a b]
A sequence space 11
r
L(X, Y)
M
(T)
"
и
A sequence space 6
A space of linear operators 118
Annihilator of a set M 148
Null space of an operator T 83
Zero operator 84
Empty set 609
1.3-1 Definition (Ball and sphere). Given a point xo EX and a real
number r>0, we define three types of sets:
(a)
B(xo; r) {xe X d(x, xo)<r}
(Open ball)
(1) (b)
B(xo; r) {xeX|d(x, xo)≤r}
(c)
S(xo; r) ={xx|d(x, xo)=r}
(Closed ball)
(Sphere)
In all three cases, xo is called the center and r the radius.
1.3-2 Definition (Open set, closed set). A subset M of a metric space
X is said to be open if it contains a ball about each of its points. A
subset K of X is said to be closed if its complement (in X) is open, that
is, K-X-K is open.
1.3-3 Definition (Continuous mapping). Let X = (X, d) and Y = (Y, d)
be metric spaces. A mapping T: XY is said to be continuous at
a point xo EX if for every ɛ>0 there is a 8>0 such that (see Fig. 6)
d(Tx, Txo)<
for all x satisfying
d(x, xo)<8.
T is said to be continuous if it is continuous at every point of X. ■
1.3-4 Theorem (Continuous mapping). A mapping T of a metric
space X into a metric space Y is continuous if and only if the inverse
image of any open subset of Y is an open subset of X.
All the required definitions and theorems are attached, now
need solution to given questions, stop copy pasting anything, I
want fresh correct solutions, if you do not know the answers
just skip it otherwise I will downvote you.
Problem 1: Spectral Theorem for Compact Self-Adjoint Operators on
Hilbert Spaces
Statement:
Let H be an infinite-dimensional separable Hilbert space over C, and let T: H→ H tea
compact, self-adjoint operator.
Tasks:
1. Eigenvalue Sequence Construction
•Prove that the non-zero spectrum of T consists of a sequence {A} C IR converging to
zero.
Show that each A, has finite multiplicity.
2. Orthonormal Basis of Eigenvectors:
•Demonstrate that there exists an orthonormal basis {e} for H consisting of eigenvectors
of 1
3. Spectral Representation.
Establish that I can be represented as
00
T-E)
-1
where the series converges in the operator norm topology.
Transcribed Image Text:Reference book: 4° A' Bab B(A) BV, KREYSZIG B(X, Y) B(r) B(A) Co C C" C[a, b] Club) C(X, Y) Introductory Functional Analysis with Applications Complement of a set A 18, 609 Transpose of a matrix A 113 Space of bounded functions 228 Space of bounded functions 11 Space of functions of bounded variation 226 Space of bounded linear operators 118 Open ball 18 Closed bull 18 A sequence space 34 A sequence space 70 Complex plane or the field of complex numbers 6, 51 Unitary-space 6 Space of continuous functions 7 Space of continuously differentiable functions 110 Space of compact linear operators 411 Domain of an operator T83 d(x, y) Distance from a toy 3 dim X 6x 2-(E) 6(T) Dimension of a space X 54 Kronecker delta 114 Spectral family 494 Norm of a bounded linear functional 104 Graph of an operator T 292 Identity operator 84 Infimum (greatest lower bound) 619 A function space 62 [[a b] A sequence space 11 r L(X, Y) M (T) " и A sequence space 6 A space of linear operators 118 Annihilator of a set M 148 Null space of an operator T 83 Zero operator 84 Empty set 609 1.3-1 Definition (Ball and sphere). Given a point xo EX and a real number r>0, we define three types of sets: (a) B(xo; r) {xe X d(x, xo)<r} (Open ball) (1) (b) B(xo; r) {xeX|d(x, xo)≤r} (c) S(xo; r) ={xx|d(x, xo)=r} (Closed ball) (Sphere) In all three cases, xo is called the center and r the radius. 1.3-2 Definition (Open set, closed set). A subset M of a metric space X is said to be open if it contains a ball about each of its points. A subset K of X is said to be closed if its complement (in X) is open, that is, K-X-K is open. 1.3-3 Definition (Continuous mapping). Let X = (X, d) and Y = (Y, d) be metric spaces. A mapping T: XY is said to be continuous at a point xo EX if for every ɛ>0 there is a 8>0 such that (see Fig. 6) d(Tx, Txo)< for all x satisfying d(x, xo)<8. T is said to be continuous if it is continuous at every point of X. ■ 1.3-4 Theorem (Continuous mapping). A mapping T of a metric space X into a metric space Y is continuous if and only if the inverse image of any open subset of Y is an open subset of X. All the required definitions and theorems are attached, now need solution to given questions, stop copy pasting anything, I want fresh correct solutions, if you do not know the answers just skip it otherwise I will downvote you. Problem 1: Spectral Theorem for Compact Self-Adjoint Operators on Hilbert Spaces Statement: Let H be an infinite-dimensional separable Hilbert space over C, and let T: H→ H tea compact, self-adjoint operator. Tasks: 1. Eigenvalue Sequence Construction •Prove that the non-zero spectrum of T consists of a sequence {A} C IR converging to zero. Show that each A, has finite multiplicity. 2. Orthonormal Basis of Eigenvectors: •Demonstrate that there exists an orthonormal basis {e} for H consisting of eigenvectors of 1 3. Spectral Representation. Establish that I can be represented as 00 T-E) -1 where the series converges in the operator norm topology.
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