3.3 KiB
Math4121 Lecture 37
Extended fundamental theorem of calculus with Lebesgue integration
Density of continuous functions
Lemma for density of continuous functions
Let K\subseteq U be bounded sets in \mathbb{R}, K is closed and U is open. Then there is a continuous function g such that \chi_K\leq g\leq \chi_U.
Proof in homework.
Hint: Consider the basic intervals cases.
Theorem for continuous functions
Let f be integrable. For each \epsilon>0, there is a continuous function g:\mathbb{R}\to\mathbb{R} such that \int_{\mathbb{R}}|f-g|dm<\epsilon.
Proof:
First where f=\chi_S for some bounded means set S. then extended to all f integrable.
First, assume f=\chi_S. Let \epsilon>c, we can find K\subseteq S\subseteq U. and K is closed and U is open such that (by definition of Lebesgue outer measure)
m(K)+\frac{\epsilon}{2}>m(S)>m(U)-\frac{\epsilon}{2}
In particular, m(U\setminus K)=m(U)-m(K)<\epsilon.
By lemma, there is a continuous function g such that \chi_K\leq g\leq \chi_U.
So
\int_E |\chi_S -g|dm=\int_{U\setminus K} |\chi_S -g|dm\leq m(U\setminus K)<\epsilon
For the general case,
By the Monotone Convergence Theorem (use |f|\chi_{[-N,N]} to approximate |f|), we can find N large such that
\int_{E_N^c}|f|dm<\frac{\epsilon}{3}
where E_N=E\cap [-N,N].
Notice that by the definition of Lebesgue integral, \int f^+ dm=\sup\{\int \phi^+ dm:\phi\text{ is simple and } \phi\leq f^+\} and \int f^- dm=\sup\{\int \phi^- dm:\phi\text{ is simple and } \phi\leq f^-\}.
By considering f^+ and f^- separately, we can find a simple function \phi such that
\int_{E_N} |f-\phi|dm<\frac{\epsilon}{3}
For each i=1,2,\cdots,n, we can find g_i continuous such that
\int_{E}|\chi_{S_i}-g_i|dm<\frac{\epsilon}{3M}
where M=\sum_{i=1}^n |\alpha_i|.
Take g=\sum_{i=1}^n \alpha_i g_i,
\int_E |\phi-g|dm\leq \sum_{i=1}^n |\alpha_i|\int_E |g_i-\chi_{S_i}|dm<\frac{\epsilon}{3}
\phi-g=\sum_{i=1}^n \alpha_i (\chi_{S_i-g_i})
All in all,
\begin{aligned}
\int_E |f-g|dm&\leq \int_E|f-\phi|dm+\int_E |\phi-g|dm\\
&=\int_{E_N^c}|f|dm+\int_E |f-\phi|dm+\int_E |\phi-g|dm\\
&<\frac{\epsilon}{3}+\frac{\epsilon}{3}+\frac{\epsilon}{3}\\
&=\epsilon
\end{aligned}
QED
Road map for proving the fundamental theorem of calculus in Lebesgue integration
Recall the Riemann-Stieltjes integral:
If g\in \mathscr{R}(\alpha) on [a,b],
G(x)=\int_a^x g d\alpha,
then:
Gis continuous on[a,b]- If
gis continuous atx\in [a,b], thenGis differentiable atxwithG'(x)=g(x).
To extend this to the case where g is Lebesgue integrable, we use the Hardy-Littlewood maximal function.
Definition of the Hardy-Littlewood maximal function
Given an interval I\subseteq \mathbb{R}, define the averaging operator A_I f(x)=\frac{\chi_I(x)}{m(I)}\int_I f(x)dm.
(This function takes the average of f over the interval I.)
The Hardy-Littlewood maximal function is defined as:
f^*(x)=\sup_{I\text{ is open interval}}A_I f(x)
We will show that f^* is not that such worse than f. (Prove on Wednesday)
Relates to the Fundamental Theorem of Calculus in Lebesgue integration.
\frac{G(x+h)-G(x)}{h}=\frac{1}{h}\int_x^{x+h} g(t)dt=A_{[x,x+h]}g(x)
If we can control all the averages, we can control the function.