实变函数:外测度

前言

1 傅里叶级数

$$
f \sim \sum a_n e^{inx}
$$
$$
a_n = \frac{1}{2\pi}\int_{-\pi}^{\pi} f(x)e^{-inx}dx
$$
由此我们可以得到Parseval恒等式:
$$
\sum_{n=-\infty}^{+\infty} |a_n|^2 = \frac{1}{2\pi}\int_{-\pi}^\pi |f(x)|^2 dx
$$
在常庚哲,史济怀的《数学分析》中也有相关论述:
![](.\img\Pasted image 20230622204800.png)
但是这样得到的度量,并非完备


前置知识储备

集合与度量

点 point

A point $x \in \mathbb R^n$ consists of a $d$-tuple of real numbers
$$
x=(x_1,x_2,\dots,x_d), x_i \in \mathbb R,\text{ for }i=1,\dots,d
$$

范数 norm

The norm of x is denoted by $|x|$ and is defined to be the standard Euclidean norm given by
$$
|x| = (x_1^2+\cdots+x_d^2)^{1/2}
$$

补集 complement

The complement of a set $E$ in $\mathbb R^d$ is denoted by $E^c$ and defined by
$$
E^c = {x \in \mathbb R^d : x \not \in E}
$$

距离 distance

The distance between two points $x$ and $y$ is then simply $|x-y|$.
The distance beteween two sets $E$ and $F$ is defined by
$$
d(E,F) = \inf_{x\in E,y \in F} |x-y|
$$

点与点之间的位置关系——开、闭、紧致集

The open ball in $\mathbb R ^ d$ centered at $x$ and of radius $r$ is defined by
$$
B_r(x) = {y \in \mathbb R^d : |y-x| < r}
$$
A subset $E \subset \mathbb R^d$ is **open** if for every $x \in E$ there exists $r > 0$ with $B_r(x) \subset E$.
A subset $E \subset \mathbb R^d$ is closed if its complement is open.
A subset $E \subset \mathbb R^d$ is bounded if it is contained in some ball of finite radius.

A subset $E \subset \mathbb R^d$ is compact if it is closed and bounded.warning: 这只在欧氏空间中成立
A subset $E \subset \mathbb R^d$ is compact if there is a finite subcovering for any open covering.

A point $x \in\mathbb R^d$ is a limit point of the set $E$ if for every $r> 0$, the ball $B_r(x)$ contains points of $E$.
An isolated point of E is a point $x \in E$ such that there exists an $r > 0$ where $B_r(x) \cap E$ is equal to ${x}$.
A point $x \in E$ is an interior point of $E$ if there exists $r > 0$ such that $B_r(x) \subset E$.

The set of all interior points of $E$ is called the interior of E.
the closure $E$ of the $E$ consists of the union of $E$ and all its limit points.
The boundary of a set $E$, denoted by $\partial E$, is the set of points which are in the closure of $E$ but not in the interior of $E$.
内部是被$E$包含的最大开集,闭包是包含$E$的最小闭集。

a closed set $E$ is perfect if $E$ does not have any isolated points.

最直接的体积计算——长方形

A (closed) rectangle $R$ in $\mathbb R^d$ is given by the product of $d$ one-dimensional closed and bounded intervals
$$
R = [a_1, b_1] \times [a_2, b_2] \times \cdots \times [a_d, b_d]
$$
![[Pasted image 20230622215919.png]]
The volume of the rectangle $R$ is defined as
$$
|R| = (b_1 - a_1)\cdots(b_d-a_d)
$$
a cube is a rectangle for which $b_1 - a_1 = \cdots = b_d-a_d$, whose volume is $(b_1-a_1)^d$

A union of rectangles is said to be almost disjoint if the interiors of the rectangles are disjoint.

Lemma 1.1

If a rectangle is the almost disjoint union of finitely many other rectangles, say $R = \bigcup_{k=1}^N R_k$, then

$$
|R| = \sum_{k=1}^N |R_k|
$$

proof.
如下图,进行有限次划分,进而变成我们更加容易处理的形式。
![](.\img\Pasted image 20230622221621.png)
$$
|R| = \sum_{j=1}^M |\overline{R_j}| = \sum_{k=1}^N\sum_{j \in J_k}|\overline{R_j}| = \sum_{k=1}^{N}|R_k|
$$

Lemma 1.2

If $R, R_1, \dots , R_N$ are rectangles, and $R \subset \bigcup^N_{k=1} R_k$, then $|R| \le \sum^N_{k=1} |R_k|$.

proof. 和Lemma 1.1相似的方法,将矩形分割,将面积累加。而重叠的部分则是不等的缘由

Lemma 1.3

Every open subset $\mathcal{O}$ of $\mathbb R$ can be writen uniquely as a countable union of disjoint open intervals.

proof.
Consider
$$
a_x = \inf{a<x:(a,x) \subset \mathcal{O}}, b_x = \inf{b>x:(x,b) \subset \mathcal{O}}
$$
Since $I_x = (a_x,b_x)$ is a subset of $\mathcal O$, then we have
$$
\mathcal O = \bigcup_{x\in\mathcal O} I_x
$$
If $I_x \cap I_y \not = \emptyset$, then $I_x \cup I_y$ is also a interval. Then we have $I_x \cup I_y \subset I_x$ and $I_x \cup I_y \subset I_x$ by definition. This only happen when $I_x = I_y$.
Since every open interval contain a rational number, we can choose disjoint rational number for every element in ${I_x}{x \in \mathcal O}$, since they are disjoint.
Therefore, ${I_x}
{x \in \mathcal O}$ is countable.

Lemma 1.4

Every open subset $\mathcal O$ of $\mathbb R^d, d \ge 1$, can be written as a countable union of almost disjoint closed cubes.

proof.
![](.\img\Pasted image 20230622234223.png)
先用长度为1的正方形划分$\mathbb R^d$,标记被$\mathcal O$包含的正方形为$Q_{1,1},Q_{1,2},Q_{1,3},\dots$
再使用更细的划分去填补剩下的空间,每一次都将边长变成原来的1/2.
因为每一层都最多使用可数个正方形,而总共有可数层,于是总计使用的正方形数量不会超过可数个。
而对于开集$\mathcal O$中的每一个点$x$, 都存在一个以$x$为中心半径为$\delta$的球被包含在开集$\mathcal O$内, 因此必然存在边长大于$\delta / 2$的划分使得该点被正方形覆盖。
因此,the open set $\mathcal O$ can be written as a countable union of almost disjoint closed cubes

康托尔集 Cantor set

![](.\img\Pasted image 20230623114859.png)
The total length of Cantor set is 0. (但这个说法对于现在的我们来说很符合直觉但不严谨,你如何去测量一个有无穷断点的物体的长度呢?


外测度 exterior measure

由上面的定理,我们知道,一个相对规整的集合(比如开集)可以表示为可数个正方形的无交并,这预示着我们去利用已知的正方形的体积去测量任意集合的体积
当我们用多个正方形从外侧去逼近一个图形的时候,也许就可以得到一些与面积相关的信息
![](.\img\Pasted image 20230623124600.png)

定义外测度

The precise definition is as follows: if $E$ is any subset of $\mathbb R^d$, the exterior measure of $E$ is
$$
m_*(E) = inf{\sum_{j=1}^\infty |Q_j|}
$$

值得注意

1 这里使用有限和是有可能得不到我们想要的面积的

比如说$[0,1]$中所有有理数构成的集合$E$,在有限和定义的测度下测度为1,但是数学分析告诉我们这应该是一个零测集。

2 事实上可以将正方形替换成长方形,这个定义依然生效

可以试试将长方形用可数个正方形表达出来

试试手

Example 1

The exterior measure of a point is zero.

Example 2

The exterior measure of a closed cube is equal to its volume.

Example 3

If $Q$ is an open cube, the result $m_∗(Q) = |Q|$ still holds.

Example 4

The exterior measure of $\mathbb R^d$ is infinite.

Example 5

The Cantor set $\mathcal C$ has exterior measure $0$.

外测度的性质

观察所得

观察所见,加上少许证明,即为基本的性质。

Obs1

$A \subset B \Rightarrow m_*(A) \le m_*(B)$

因为任何一个$B$的覆盖也是$A$的一个覆盖。

Obs2

若$J$可数,则$m_*(\bigcup_{j \in J} A_j) \le \sum_{j \in J} m_*(A_j)$

By definition, we get a covering $E_j \subset \bigcup_{k=1}^\infty Q_{k,j}$ such that
$$
\sum_{k=1}^{\infty} |Q_{k,j}| < m_*(E_j) + \frac{\epsilon}{2^j}
$$
Then, we have
$$
m_*(E) \le \sum_{j=1}^\infty \sum_{k=1}^\infty|Q_{k,j}| \le \sum_{j=1}^\infty \left(m_*(E) + \frac{\epsilon}{2^j}\right) \le \sum_{j=1}^\infty m_*(E) + \epsilon
$$

Obs3

If $E \subset \mathbb R^d$, then $m_∗(E) = \inf m_∗(\mathcal O)$, where the infimum is taken over all open sets $\mathcal O$ containing $E$.

Obs4

If $E = E_1 \cup E_2$, and $d(E_1, E_2) > 0$, then $m_∗(E) = m_∗(E_1) + m_∗(E_2)$.

By Obs2, we have $m_*(E) \le m_*(E_1) + m_*(E_2)$.

Obs5

If a set $E$ is the countable union of almost disjoint cubes $E = \bigcup_ {j=1}^\infty Q_j$, then

$$
m_∗(E) = \sum_ {j=1}^\infty |Q_j |
$$

测度公理化

  1. (Borel性质)$\mathbb R^n$中每一个开集都是可测集,每一个闭集都是可测集。
  2. (补性质)如果$\Omega$是可测的,那么$\mathbb R^n / \Omega$也是可测的
  3. (Boole代数性质)如果$(\Omega_j){j \in J}$是可测集的有限族,那么$\bigcup{j \in J} \Omega_j$和$\bigcap_{j \in J} \Omega_j$都是可测集
  4. ($\sigma$代数性质)如果$(\Omega_j){j \in J}$是可测集的可数族,那么$\bigcup{j \in J} \Omega_j$和$\bigcap_{j \in J} \Omega_j$都是可测集
  5. $m(\emptyset) = 0$
  6. $0\le m(\Omega) \le \infty$
  7. $A \subset B \Rightarrow m(A) \le m(B)$
  8. 若$J$可数,则$m(\bigcup_{j \in J} A_j) \le \sum_{j \in J} m(A_j)$
  9. 若$(A_j){j\in J}$ 是互不相交的可数族,则$m(\bigcup{j \in J} A_j) =\le= \sum_{j \in J} m(A_j)$
  10. (正规化性质)$m([0,1]^n)=1$
  11. 若$\Omega$是可测集而$x \in \mathbb R^n$,那么$x+\Omega := {x+y:y\in\Omega}$是可测的,而且$m(x+\Omega) = m(\Omega)$.
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