\( \newcommand{\N}{\mathbb{N}} \newcommand{\R}{\mathbb{R}} \newcommand{\C}{\mathbb{C}} \newcommand{\Q}{\mathbb{Q}} \newcommand{\Z}{\mathbb{Z}} \newcommand{\P}{\mathcal P} \newcommand{\B}{\mathcal B} \newcommand{\F}{\mathbb{F}} \newcommand{\E}{\mathcal E} \newcommand{\brac}[1]{\left(#1\right)} \newcommand{\abs}[1]{\left|#1\right|} \newcommand{\matrixx}[1]{\begin{bmatrix}#1\end {bmatrix}} \newcommand{\vmatrixx}[1]{\begin{vmatrix} #1\end{vmatrix}} \newcommand{\lims}{\mathop{\overline{\lim}}} \newcommand{\limi}{\mathop{\underline{\lim}}} \newcommand{\limn}{\lim_{n\to\infty}} \newcommand{\limsn}{\lims_{n\to\infty}} \newcommand{\limin}{\limi_{n\to\infty}} \newcommand{\nul}{\mathop{\mathrm{Nul}}} \newcommand{\col}{\mathop{\mathrm{Col}}} \newcommand{\rank}{\mathop{\mathrm{Rank}}} \newcommand{\dis}{\displaystyle} \newcommand{\spann}{\mathop{\mathrm{span}}} \newcommand{\range}{\mathop{\mathrm{range}}} \newcommand{\inner}[1]{\langle #1 \rangle} \newcommand{\innerr}[1]{\left\langle #1 \right \rangle} \newcommand{\ol}[1]{\overline{#1}} \newcommand{\toto}{\rightrightarrows} \newcommand{\upto}{\nearrow} \newcommand{\downto}{\searrow} \newcommand{\qed}{\quad \blacksquare} \newcommand{\tr}{\mathop{\mathrm{tr}}} \newcommand{\bm}{\boldsymbol} \newcommand{\cupp}{\bigcup} \newcommand{\capp}{\bigcap} \newcommand{\sqcupp}{\bigsqcup} \newcommand{\re}{\mathop{\mathrm{Re}}} \newcommand{\im}{\mathop{\mathrm{Im}}} \newcommand{\comma}{\text{,}} \newcommand{\foot}{\text{。}} \)

Tuesday, December 20, 2011

Independent study/Sping course list

presentation 的 "講義" (?)

http://ihome.ust.hk/~cclee/document/Inde_Presentation.pdf

蠻費精神的。第二個 section 有點無謂,kin li 早在 MATH370 把所有 Hilbert space 的 dual 都找出來了...。我想做 L^1 的 dual 比較有意義?

**********

spring course list 已出,已決定 MATH5112, 4321, 4822A, 4221, HUMA 1710, CENG 1700.

Saturday, December 3, 2011

無聊地想 linear algebra & independent study 的 presentation

大概在上一個星期的 numerical analysis (MATH3312/231) 課 professor 毛毛 提到了一個 fact:
Theorem. Let $  A$ be real $  n\times n$ matrix, then $\lim_{n\to\infty}A^n=0\iff\rho(A)<1$.
其中當 $A$ 為 $n\times n$ real matrix,我們定義 \[
\sigma(A):=\{\lambda\in\mathbb{C}:A-\lambda I\text{ is not inveritble}\}
\] 為 $  A$ 的 spectrum (也就是說 $  \sigma(A)$ 是 $  A$ 所有的 eigenvalue)。且定義 spectral radius 為 $  \rho(A)=\max\{|\lambda|:\lambda \in \sigma(A)\}$。

上面 $  \lim_{n\to\infty}A^n=0$ 可理解為 $  \lim_{n\to\infty}A^n \mathbf x = 0,\forall \mathbf x\in \mathbb{R}^n$。Google 一下 spectral radius 這個字就有以上那個結果的證明,且用到了 Jordan decomposition,當然我有一個更簡單的解 (TA 也確定是正確的證明),不須用到這工具。但看來就是沒有人有興趣~,還有人說這是 trivial 的 (那是一位 applied math 學生),我無言了。

我們現在證明上述定理。可知 $(\Rightarrow)$ 是顯然的,現證 $(\Leftarrow)$:

Proof. It is a well-known result in linear algebra that every matrix can be made into an upper triangular matrix  under a change of basis. That is, by reviewing $A$ as a linear operator from $\C^n$ to $\C^n$ rather than a real matrix, there must be a basis in $\C^n$ so that the matrix of $A$ w.r.t. this basis becomes upper triangular. A simple proof can be found in ALGEBRA written by Michael Artin.

We upper triangularize $A$  by some $P\in GL_n(\C)$, i.e.,
\[U:=PAP^{-1}=
\begin{bmatrix}
\lambda_1& b_{12} &\cdots   &   b_{1n} \\
0 &\lambda_2& \cdots  &  b_{2n}     \\
0 & 0 & \ddots  &   \vdots    \\
0 &0  &    \cdots   &\lambda_n
\end{bmatrix},
\] then $U\mathbf e_1=\lambda_1 \mathbf e_1$, and $U^j \mathbf e_1=\lambda_1^j\mathbf e_1$ and hence  $|\lambda_1|<1\implies U^k \mathbf e_1\to 0$.

We complete the proof by induction, assume there is $k\in \N$ so that
\[\lim_{j\to\infty} U^j(\mathbf e_1),\dots,\lim_{j\to\infty} U^j(\mathbf e_{k-1})=0.\] Then since $U(\mathbf e_{k})=\sum_{i=1}^{k-1} b_{ik}\mathbf e_i + \lambda_k \mathbf e_k$, we have
\[U^{j+1}(\mathbf e_{k})=\sum_{i=1}^{k-1} b_{ik}U^{j}(\mathbf e_i) + \lambda_k U^j(\mathbf e_k).\] For a vector $v\in \C^n$ let's denote $v^\ell$ to be its $\ell^\text{th}$ coordinate, then one has
\[ (U^{j+1}(\mathbf e_{k}))^\ell=\sum_{i=1}^{k-1} b_{ik}(U^{j}(\mathbf e_i))^\ell + \lambda_k (U^j(\mathbf e_k))^\ell,\] this implies
\[ \big|(U^{j+1}(\mathbf e_{k}))^\ell\big|\leq\sum_{i=1}^{k-1} |b_{ik}|\big|(U^{j}(\mathbf e_i))^\ell\big| + |\lambda_k| \big|(U^j(\mathbf e_k))^\ell\big|. \] By induction hypothesis $\lim_{j\to\infty}U^j (\mathbf e_i)=0$ for $i=1,2,\dots,k-1$, one has for any $\epsilon>0$, there is an $N$ such that \[
j>N\implies \big|(U^{j+1}(\mathbf e_{k}))^\ell\big|<\epsilon+  |\lambda_k| \big|(U^j(\mathbf e_k))^\ell\big|.
\] This actually implies $\lim_{k\to\infty} \big|(U^{j+1}(\mathbf e_{k}))^\ell \big|=0$ since $|\lambda_k|<1$. As this is true for $\ell=1,2,\dots,n$, so $\lim_{j\to\infty} U^j(\mathbf e_k)=0$.

We conclude by induction that $\lim_{j\to\infty} U^j(\mathbf e_k)=0$ for $k=1,2,\dots, n$. Since each vector in $\C^n$ is spanned by $\{\mathbf e_i\}_{i=1}^n$, we conclude $U^j\to 0$. Since $A^j=P^{-1}U^j P$, we conclude $A^j\to 0$ on $\C^n$, and of course, on $\R^n\subseteq \C^n$.$\qed$

Remark. For the ($\Leftarrow$) we may also use a famous result in Banach algebra. It is known that the formula of spectral radius of the matrix $A$ is $\limn \|A^n\|^{1/n}$. So $\limn \|A^n\|^{1/n} < 1$ implies we can choose $r<1$ such that there is $N\in\N$, \[
n>N\implies \|A^n\| < r^n \implies \limn \|A^n\|=0
.\] Finally for each $x\in \R^n$, $\|A^n x\|\leq \|A^n\| \|x\|$, so $A^n \to 0$ pointwise on $\R^n$.

話說我在這個 sem 跟 kin li 學 Fourier analysis。初頭也是正正常常地學 fourier series on $  \mathbb{R}/\mathbb{Z}$,其後因為我在修讀的 MATH5111/511 教 finite group representation 的關係,我便開始讀 noncommutative 的 harmonic analysis 了...。最後我的 presentation project 更差點變成 existence of Haar measure on locally compact metrizable group。我其後在想,這和 fourier analysis 關係不太大吧...,便要求只證 existence of Haar measure on compact group,取而代之以 fourier series 的方法 determine $  L^2(Q,m)$  的 dual,其中 $  Q\subseteq\mathbb{R}$ 是 measurable 及 $  m$ 是 Lebesgue measure。