Computation and understanding some wording around the Hardy Littlewood Maximal function

harmonic-analysismeasure-theoryreal numbersreal-analysis

I have just started to read Stein's Singular Integrals and Differentiability properties of functions.

The Hardy-Littlewood maximal function has just been introduced i.e. $$M(f)(x):= \sup_{r > 0} \frac{1}{m(B(x,r))}\int_{B(x,r)}|f(y)|dy$$

where $m(B(x,r))$ denotes the measure of the Ball

Stein then states "We shall now be interested in giving a concise expression for the relative size of a function". Let $g(x)$ be defined on $\mathbb{R}^{n}$ and for each $\alpha$ consider the following set $\{x:|g(x)| > \alpha\}$. Then the function $\lambda(\alpha)$ defined to be the measure of this set is the distribution function of $|g|$.

Questions:

(1): Stein states, "The decrease of $\lambda(\alpha)$ as $\alpha$ grows describes the relative largeness of the function" why is this describing the largeness (i'd have thought it would be saying how small the function is, and relative to what, other functions?)

(2): If $g \subset L^{p}$ then one has $\int_{\mathbb{R}^{n}}|g(y)|^{p}dy = – \int_{0}^{\infty}\alpha^{p}d \lambda(\alpha)$. How does one get the RHS of this equality?

Best Answer

To determine in which $L^p$ spaces a function $g$ belongs, the behavior of $\lambda(\alpha)$ for large $\alpha is pertinent.

If $0=\alpha_0<\alpha_1<\alpha_2<\ldots$ is a partition of $[0,\infty)$, then $$\int_{\mathbb{R}^{n}}|g(y)|^{p}dy = \sum_{k=1}^\infty \int_{y: \alpha_ {k-1} <|g(y)| \le \alpha_k} |g(y)|^{p}dy \,,$$ so $$\sum_{k=1}^\infty \alpha_{k-1}^p \Bigl(\lambda(\alpha_ {k-1})- \lambda(\alpha_k) \Bigr) \le \int_{\mathbb{R}^{n}}|g(y)|^{p}dy \le \sum_{k=1}^\infty \alpha_{k}^p \Bigl(\lambda(\alpha_ {k-1})- \lambda(\alpha_k)\Bigr) \,,$$

Passing to the limit as the partition is refined gives the desired relation.

Related Question