Lemma

Let be a collection of open balls in and let . If , then there exist disjoint , such that

\begin{proof} Consider a compact and a finite open cover of . Take such that is a ball with maximal radical and not intersecting with others, and they are what we desire. The key point is, each ball has intersection with some chosen ball and has shorter radius.

See here. \end{proof}

Definition

A measurable function is called locally integrable (with respect to Lebesgue measure) if for every bounded measurable set .

We denote the space of locally integrable functions by . If , and , we define to be the average value of on :

Remark. If , then for any the function

is continuous.

Definition

With each , we associate its maximal function, , which is defined as

With the remark above, we know is measurable.

Hardy-Littlewood

There is a constant such that for all and all ,

m\left(\left\{x \in \mathbb{R}^n: f^*(x)>\alpha\right\}\right) \leqslant \frac{C}{\alpha} \int_{\mathbb{R}^n}|f| d m =\frac{C}{\alpha}||f||_1. $$ ^vufshf

\begin{proof} Let . For each , there exists such that and so the balls cover . By ^e42f5f, for any , there are finite disjoint balls satisfying . It deduces that

Let . Now we finish the proof. \end{proof}

Lemma

If , then for a.e. .

\begin{proof} It suffices to show, for a.e. for all . For any fixed and , consider and continuous such that by this lemma. Then we have

For , define . Since

and , , it yields that for any . Now we finish the proof.

Also see here. \end{proof}

Remark. 这里说 只是因为它只需要在每个半径为 的球上可积,当然对 更对。我觉得为了这点宽松引入新概念没什么意思。

Theorem

Define

If , then .

\begin{proof} For each , define . By ^34aaa4, there is

Let , and let . Then . If , for any we can choose such that and . Thus

By the arbitrary of , we finish the proof. \end{proof}

Remark. 这证明和结果还挺有意思的,本来想定义 with running over , 发现放不出来。这样的收敛有点像 Cesaro 求和啊。

Theorem

Let and . Then and , where depends only on and .

\begin{proof} When , we have . Now we assume that .

For any given , define

f(x),&|f(x)|\geqslant \alpha/2, \\ 0,& \mbox{otherwise}. \end{cases}$$ Note that

\begin{aligned} |g|1 & =\int{\left{x \in \mathbb{R}^n:|f(x)| \geqslant \alpha / 2\right}}|f(x)| d x \ & \leqslant \int_{\mathbb{R}^n}|f(x)|\left(\frac{|f(x)|}{\alpha / 2}\right)^{p-1} d x=\left(\frac{2}{\alpha}\right)^{p-1}|f|_p^{p}<\infty, \end{aligned}

then $g \in L^1\left(\mathbb{R}^n\right)$. Also, we have $\|f-g\|_{\infty} \leqslant \alpha / 2$ and $f^*(x) \leqslant g^*(x)+{\alpha}/{2}$. It deduces that

\left{x \in \mathbb{R}^n: f^(x)>\alpha\right} \subset\left{x \in \mathbb{R}^n: g^(x)>\alpha / 2\right}.

For any $\alpha>0$, define $h(\alpha)=\left|\left\{x \in \mathbb{R}^n: f^*(x)>\alpha\right\}\right|$ as the distribution function of $f^*$. Then by [[#^vufshf|^vufshf]], there is

\begin{aligned} h(\alpha) & \leqslant\left|\left{x \in \mathbb{R}^n: g^*(x)>\alpha / 2\right}\right| \ & \leqslant \frac{2 C}{\alpha}|g|1=\frac{2 C}{\alpha} \int{\left{x \in \mathbb{R}^n:|f(x)| \geq \alpha / 2\right}}|f(x)| d x \end{aligned}

By [[Layer Cake Representation#^pa9wsk|layer cake representation]], we have

\begin{aligned} \int_{\mathbb{R}^n} (f^{*})^{p} d x&=p \int_0^{\infty} \alpha^{p-1} h(\alpha) d \alpha\ &\leqslant p \int_0^{\infty} \alpha^{p-1}\left(\frac{2 C}{\alpha} \int_{\left{x \in \mathbb{R}^n:|f(x)| \geqslant \alpha / 2\right}}|f(x)| d x\right) d \alpha\ &=2 C p \int_{\mathbb{R}^n}|f(x)|\left(\int_0^{2|f(x)|} \alpha^{p-2} d \alpha\right) d x \ & =\frac{2^p C p}{p-1} \int_{\mathbb{R}^n}|f(x)|^p d x\ &=\frac{2^p C p}{p-1}|f|_p^p. \end{aligned}

Taking $p$ th roots, we see that $\left\|f^*\right\|_p \leq c\|f\|_p$. Also see [[Measure Theory (Xia).pdf#page=87&selection=327,0,328,1|here]]. `\end{proof}` **Remark.** 最tricky的部分是定义了 $g$,因为它是 $L^1$ 的所以可以用小木头来控制。