finished the manuscript

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# Mathematics # Mathematics
This is my attempt at digitalizing (and translating) my math notes from uni. It's not finished yet, I'll update it bit by bit when I feel like it This is my attempt at digitalizing (and translating) my math notes from uni.
It contains all the maths I learned in four semesters of university, however I have not proofread it yet, and I also plan on adding in all the proofs that were labeled as "left to the lecture attendant".
The topics covered in this script will be: The topics covered in this script will be:
1. Fundamentals and Notation 1. Fundamentals and Notation
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7.3 Integrals over the real numbers 7.3 Integrals over the real numbers
7.4 Product Measures and the Fubini Theorem 7.4 Product Measures and the Fubini Theorem
7.5 The Transformation Theorem 7.5 The Transformation Theorem
7.6 Lebesgue-Stieltjes Integral
8. Ordinary Differential Equations 8. Ordinary Differential Equations
8.1 Solution Methods 8.1 Solution Methods
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11. Fourier Transform and Basics of Distribution Theory 11. Fourier Transform and Basics of Distribution Theory
11.1 Fourier Transform on L¹(ℝᵈ) 11.1 Fourier Transform on L¹(ℝᵈ)
11.2 Fourier Transform on L²(ℝᵈ) 11.2 Fourier Transform on L²(ℝᵈ)
11.3 Tempered Distributions 11.3 Outlook: Tempered Distributions
12. Operator Theory 12. Operator Theory
12.1 Linear Operators 12.1 Linear Operators
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13. Spectral Theory 13. Spectral Theory
13.1 Spectral Theory of Bounded Linear Operators 13.1 Spectral Theory of Bounded Linear Operators
13.2 Spectral Representation of Bounded Self-Adjoint Operators 13.2 Spectral Representation of Bounded Self-Adjoint Operators
13.3 Compact Linear Operators 13.3 Compact & Unbounded Linear Operators
13.4 Unbounded Linear Operators
13.5 Spectral Representation of Unbounded Self-Adjoint Operaotrs
14. Curves in ℝ³
15. Differentiable Manifolds

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\documentclass[../../script.tex]{subfiles}
%! TEX root = ../../script.tex
\begin{document}
\section{Compact \& Unbounded Linear Operators}
\begin{defi}
Let $X$ be a normed space. $F \subset X$ is compact in $X$ if every open cover of $F$ contains a finite subcover, that is, for every family $\set{G_{\alpha}}$ of open sets in $X$ such that $F \subset \bigcup_{\alpha} G_{\alpha}$ there exists $\set{G_{\alpha_1}, \cdots, G_{\alpha_n}} \subset \set{G_{\alpha}}$ such that $F \subset \bigcup_{k = 1}^n G_{\alpha_k}$.
\end{defi}
\begin{thm}
$F$ is compact in $X$ if and only if every sequence $\anyseqdef{F}$ has a subsequence that is convergent in $F$.
\end{thm}
\begin{proof}
\noproof
\end{proof}
\begin{defi}
A set $F \subset X$ is said to be relatively compact if $\closure{F}$ is compact.
Every bounded set in a finite-dimensional normed space is relatively compact.
\end{defi}
\begin{defi}
Let $X$ and $Y$ be normed spaces. An operator $T: X \rightarrow Y$ is called a compact linear operator if $T$ is linear and if for every bounded subset $M \subset X$ the image $T(M)$ is relatively compact.
\end{defi}
\begin{thm}[Compactness Criterion]
Let $X$ and $Y$ be normed spaces and $T: X \rightarrow Y$ a linear operator.
Then $T$ is compact if and only if it maps every bounded sequence $\anyseqdef{X}$ onto a sequence $\anyseqdef[Tx]{Y}$ that has a convergent subsequence, that is
\[
\forall \anyseqdef{X} ~\exists \left(Tx_{n_k}\right) \subset Y: \quad Tx_{n_k} \conv{k \rightarrow \infty} y \in Y
\]
\end{thm}
\begin{proof}
\noproof
\end{proof}
\begin{thm}\label{thm:23.6}
If $T: X \rightarrow Y$ is bounded and $\Im T = T(X)$ is finite-dimensional, then $T$ is compact.
\end{thm}
\begin{eg}
Consider $X = Y = l^2$ over the field $\field$. The operator $T$ defined by
\[
Tx = (2\xi_1, \xi_2, \xi_3 + \xi_4, 0, 0, 0, \cdots)
\]
for $x = (\xi_k)$ is compact. Indeed the set
\[
T(X) = \set[\eta_1, \eta_2, \eta_3 \in \field]{(\eta_1, \eta_2, \eta_3, 0, 0, 0, \cdots)}
\]
is a three-dimensional subspace of $l^2$. By \Cref{thm:23.6} $T$ is compact.
\end{eg}
\begin{thm}\label{thm:23.8}
Let $\seq{T}$ be a sequence of compact linear operators from a normed space $X$ to a Banach space $Y$. If $T_n \rightarrow T$ in $B(X, Y)$ then $T$ is compact.
\end{thm}
\begin{proof}
\noproof
\end{proof}
\begin{eg}
Consider $X = Y = l^2$ and the operator
\[
Tx = \left(\xi_1, \frac{\xi_2}{2}, \frac{\xi_3}{3}, \cdots \right)
\]
We can prove that $T$ is compact if we take the sequence
\[
T_n x = \left( \xi_1, \frac{\xi_2}{2}, \frac{\xi_3}{3}, \cdots \frac{\xi_n}{n}, 0, 0, \cdots \right)
\]
Then $T_n$ is bounded and $\dim\left(T_n(X)\right) = n$. So by \Cref{thm:23.6} every element of the sequence is compact.
Now we compute
\begin{align*}
\norm{(T - T_n)x}^2 &= \norm{\left(0, 0, \cdots, 0, \frac{\xi_{n+1}}{n + 1}, \frac{\xi_{n+2}}{n + 2}, \cdots\right)}^2 \\
&= \sum_{k=n+1}^{\infty} \frac{\xi_k^2}{k^2} \le \rec{(n+1)^2} \sum_{k=n+1}^{\infty} \xi_k^2 \le \rec{(n+1)^2} \norm{x}^2
\end{align*}
Thus $\norm{T - T_n} \le \rec{n+1} \conv{n \rightarrow \infty} 0$. By \Cref{thm:23.8} $T$ is compact.
\end{eg}
\begin{thm}
Let $T: H \rightarrow H$ be a bounded linear operator on a separable Hilbert space $H$. The following statements are equivalent.
\begin{enumerate}[(i)]
\item $T$ is compact.
\item $T^*$ is compact.
\item If $\innerproduct{x_n}{y} \conv{n \rightarrow \infty} \innerproduct{x}{y}, ~\forall y \in H$ then $Tx_n \conv{n \rightarrow \infty} Tx$ in $H$.
\item There exists a sequence of $T_n$ of operators of finite rank such that $\norm{T - T_n} \conv{n \rightarrow \infty} 0$.
\end{enumerate}
\end{thm}
\begin{proof}
\noproof
\end{proof}
\begin{thm}[Hilbert-Schmidt Theorem]
Let $T$ be a self-adjoint compact operator. Then
\begin{enumerate}[(i)]
\item There exists an orthonormal basis consisting of eigenvectors of $T$.
\item All eigenvalues of $T$ are real and for every eigenvalue $\lambda \ne 0$ the corresponding eigenspace is finite dimensional.
\item Two eigenvectors of $T$ that correspond fo different eigenvalues are orthogonal.
\item If $T$ has a countable set of eigenvalues $\set[n \ge 1]{\lambda_n}$ then $\lambda_n \conv{n \rightarrow \infty} 0$.
\end{enumerate}
\end{thm}
\begin{proof}
\noproof
\end{proof}
\begin{cor}
Let $T$ be a compact self-adjoint operator on a complex Hilbert space $H$. Then there exists an orthonormal basis $\set[k \ge 1]{e_k}$ such that
\[
Tx = \sum_{n=1}^{\infty} \lambda_n \innerproduct{x}{e_n} e_n, \quad x \in H
\]
\end{cor}
\begin{proof}
\noproof
\end{proof}
\begin{eg}[Unbounded Linear Operators]
Take $H = L^2(-\infty, \infty)$. Conisder the first multiplication operator
\[
(Tx)(t) = t x(t), ~t \in \realn, \quad \domain(T) = \set[\int_{-\infty}^{\infty} t^2 \abs{x(t)}^2 \dd{t} < \infty]{x \in L^2(-\infty, \infty)}
\]
It should be noted that $\domain(T) \ne L^2(-\infty, \infty)$. Indeed
\[
x(t) = \begin{cases}
\rec{t}, & t \ge 1 \\
0, & t < 1
\end{cases} \quad\in L^2(-\infty, \infty)
\]
because
\[
\norm{x}^2 = \int_{-\infty}^{\infty} \abs{x(t)}^2 \dd{t} = \int_1^{\infty} \rec{t^2} \dd{t} = 1
\]
but
\[
\norm{Tx}^2 = \int_{-\infty}^{\infty} t^2 \abs{x(t)}^2 \dd{t} = \int_1^{\infty} 1 \dd{t} = \infty
\]
Let us recall the definition for boundedness of linear operators. An operator $T: \domain(T) \rightarrow H$ is bounded if
\[
\exists C \ge 0 ~\forall x \in \domain(T): \quad \norm{Tx} \le C \norm{x}
\]
Consider the sequence
\[
x_n = \begin{cases}
1, & n \le t < n + 1 \\
0, & \text{else}
\end{cases}
\]
This sequence has the norm
\[
\norm{x_n}^2 = \int_{-\infty}^{\infty} \abs{x_n(t)}^2 \dd{t} = \int_n^{n+1} \dd{t} = 1
\]
but
\[
\norm{Tx_n}^2 = \int_{-\infty}^{\infty} t^2\abs{x_n(t)}^2 \dd{t} = \int_n^{n+1} t^2 \dd{t} \ge n^2
\]
So $\norm{Tx_n}^2 \ge n^2 \norm{x_n}, ~\forall n \ge 1$, hence $T$ is unbounded. The differentiation operator
\[
(Tx)(t) = ix'(t), \quad \domain(T) \subset L^2(-\infty, \infty)
\]
is also unbounded. We will not discuss what $\domain(T)$ is at this point, however we will do so later.
Here we will only remark that all continuously differentiable functions with compact support and Hermite polynomials belong to $\domain(T)$.
\end{eg}
\begin{eg}
Let $H$ be a complex Hilbert space. Let $T: \domain(T) \rightarrow H$ be a densely defined linear operator.
The adjoint operator $T^*: \domain(T^*) \rightarrow H$ of $T$ is defined as follows. The domain $\domain(T^*)$ of $T^*$ consists of all $y \in H$ such that $\exists y^* \in H$ satisfying
\[
\innerproduct{Tx}{y} = \innerproduct{x}{y^*}, \quad \forall x \in \domain(T)
\]
For each such $y \in \domain(T^*)$ define $T^*y := y^*$. Remark that $\domain(T^*)$ is not necessarily equal to $H$.
Since $\domain(T)$ is dense in $H$, for every $y \in \domain(T^*)$ there exists a unique $y^*$ satisfying the above equation.
Before we discuss the properties of adjoint operators, we will first take a look at the extension of a linear operator. Consider again the differentiation operator
\[
(T_1x)(t) = ix'(t)
\]
We can define $T_1$ only for functions from
\[
\domain(T_1) = C_0^1(\realn) = \set[f = 0 \text{ outside some interval}]{f \in C^1(\realn)}
\]
Now let
\[
(T_2x)(t) = ix'(t), \quad \domain(T_2) = \set[\int_{-\infty}^{\infty} \abs{f}^2 \dd{t} < \infty, ~\int_{-\infty}^{\infty} \abs{f'}^2 \dd{t} < \infty]{f \in C(\realn)}
\]
$T_1$ and $T_2$ are different operators, but $\domain(T_1) \subset \domain(T_2)$ and $T_1 = T_2 \vert_{\domain(T_1)}$.
\end{eg}
\begin{defi}
An operator $T_2$ is said to be an extension of another operator $T_1$ if $\domain(T_1) \subset \domain(T_2)$ and $T_1 = T_2 \vert_{\domain(T_1)}$.
In this case we write $T_1 \subset T_2$.
\end{defi}
\begin{thm}
Let $T: \domain(T) \rightarrow H$ be a linear operator, where $\domain(T) \subset H$. Then
\begin{enumerate}[(i)]
\item $T$ is closed if and only if $x_n \longrightarrow x, ~x_n \in \domain(T)$ and $Tx_n \longrightarrow y$ imply $x \in \domain(T)$ and $Tx = y$.
\item If $T$ is closed and $\domain(T)$ is closed, then $T$ is bounded.
\item Let $T$ be bounded. Then $T$ is closed if and only if $\domain(T)$ is closed.
\end{enumerate}
\end{thm}
\begin{proof}
\noproof
\end{proof}
\begin{thm}
Let $T$ be a densely defined operator on $H$. Then the adjoint operator $T^*$ is closed.
\end{thm}
\begin{proof}
\noproof
\end{proof}
\begin{defi}
If a linear operator $T$ has an extension $T_1$ which is a closed linear operator, then $T$ is said to be closable.
If $T$ is closable, then there exists a minimal closed operator $\closure{T}$ satisfying $T \subset \closure{T}$. The operator $\closure{T}$ is said to be the closure of $T$.
\end{defi}
\begin{thm}
Let $T: \domain(T) \rightarrow H$ be a densely defined linear operator. If $T$ is symmetric, its closure $\closure{T}$ exists and is unique.
\end{thm}
\begin{proof}
\noproof
\end{proof}
\begin{thm}
Let $U: H \rightarrow H$ be a unitary operator. Then there exists a spectral family $\set{E_{\theta}}_{\pi}$ on $[-\pi, \pi]$ such that
\[
U = \int_{-\pi}^{\pi} e^{i\theta} \dd{E_{\theta}}
\]
where the integral is understood in the sense of uniform operator convergence.
\end{thm}
\begin{hproof}
One can show that there exists a bounded self-adjoint linear operator $S$ with $\sigma(S) \subset [-\pi, \pi]$ such that
\begin{equation}
U = e^{iS} = \cos S + i\sin S
\end{equation}
Let $\set{E_{\theta}}$ be a spectral family for $S$ on $[-\pi, \pi]$. Then
\[
S = \int_{-\pi}^{\pi} \theta \dd{E_{\theta}}
\]
Hence
\[
U = e^{iS} = \int_{-\pi}^{\pi} \cos\theta \dd{E_{\theta}} + i \int_{-\pi}^{\pi} \sin\theta \dd{E_{\theta}} = \int_{-\pi}^{\pi} e^{i\theta} \dd{E_{\theta}}
\]
\end{hproof}
\begin{defi}
Let $T: \domain(T) \rightarrow H$ be a self-adjoint linear operator, where $\domain(T)$ is dense in $H$ and $T$ may be unbounded.
Define a new operator
\[
U = (T - iI)(T + iI)^{-1}
\]
called the Cayley transform of $T$. It is defined on the entire Hilbert space since we know that $-i \not\in \sigma(T) \subset \realn$. One can also check that it is unitary and
\[
T = i(I + U)(I - U)^{-1}
\]
\end{defi}
\begin{thm}[Spectral Representation for Unbounded Self-Adjoint Operators]
Let $T: \domain(T) \rightarrow H$ be a self-adjoint linear operator and let $\domain(T)$ be dense in $H$.
Let $U$ be the Cayley transform of $T$ and $\set{\tilde{E}_{\theta}}$ a spectral family in the spectral representation for $-U$. Then
\[
T = \int_{-\pi}^{\pi} \tan\frac{\theta}{2} \dd{\tilde{E}_{\theta}} = \int_{-\infty}^{\infty} \lambda \dd{E_{\lambda}}
\]
where $E_{\lambda} = \tilde{E}_{2\arctan\lambda}, ~\lambda \in \realn$.
\end{thm}
\begin{proof}
\proof
\end{proof}
\begin{rem}
We remark that $T = i(I+U)(I-U)^{-1} = f(-U)$, where $f(\theta) = i\frac{1-\theta}{1+\theta}$. Let
\[
-U = \int_{-\pi}^{\pi} e^{i\theta} \dd{\tilde{E}_{\theta}}
\]
Then
\begin{align*}
T = \int_{-\pi}^{\pi} f(e^{i\theta}) \dd{\tilde{E}_{\theta}} &= \int_{-\pi}^{\pi} i \frac{1 - e^{i\theta}}{1 + e^{i\theta}} \dd{\tilde{E}_{\theta}} \\
&= \int_{-\pi}^{\pi} i\frac{(1 - \cos\theta) - i\sin\theta}{(1 + \cos\theta) + i\sin\theta} \dd{\tilde{E}_{\theta}} \\
&= \int_{-\pi}^{\pi} i\frac{-2i\sin\theta}{2 + 2\cos\theta} \dd{\tilde{E}_{\theta}} \\
&= \int_{-\pi}^{\pi} \tan\frac{\theta}{2} \dd{\tilde{E}_{\theta}}
\end{align*}
\end{rem}
\begin{eg}[Spectral Representation of the Multiplication Operator]
Consider the space $H = L^2(-\infty, \infty)$ which is to be taken over $\cmpln$ and take
\[
(Tx)(t) = tx(t), ~t \in \realn, \quad \domain(T) = \set[\int_{-\infty}^{\infty} t^2\abs{x(t)}^2 \dd{t} < \infty]{x \in L^2(-\infty, \infty)}
\]
Then $T$ is self-adjoint and the spectral family associated with $T$ is
\[
(F_{\lambda} x)(t) = \begin{cases}
x(t), & t < \lambda \\
0, & t \ge \lambda
\end{cases}
\]
\end{eg}
\end{document}

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\subfile{sections/spectral_theory_bounded_operators.tex} \subfile{sections/spectral_theory_bounded_operators.tex}
\subfile{sections/spectral_representation.tex} \subfile{sections/spectral_representation.tex}
\subfile{sections/compact_linear_operators.tex}
\end{document} \end{document}

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