Bartle's Elements of Integration Exercise 6.J

$\begingroup$

enter image description here

For the $(\impliedby)$ direction I'm gettinf it ok, but for the $(\implies)$ direction, I'm getting the wrong inequalities. My ideas so far:$$n\mu(E_n)=\int_{E_n}n\,dx\geq\int_{E_n}|f(x)|dx \implies \sum n\mu(E_n)\geq \sum\int_{E_n}|f(x)|dx=\int|f(x)|dx<||f||_1 $$That doesn't work, neither:$$(n-1)\mu(E_n)=\int_{E_n}n-1\,dx\leq\int_{E_n}|f(x)|dx \implies \sum (n-1)\mu(E_n)\leq \sum\int_{E_n}|f(x)|dx=\int|f(x)|dx<||f||_1 $$

$\endgroup$ 2

1 Answer

$\begingroup$

Notice that$$ \sum^\infty_{n=1}n\mathbb{1}_{\{n-1\leq |f(x)| <n\}}\leq |f(x)|+1\tag{1} $$

and that

$$ |f(x)|\leq \sum^\infty_{n=1}n \mathbb{1}_{\{n-1\leq |f(x)| <n\}}\tag{2}$$

Since the measure is finite, integrability of $|f|$ implies the integrability of $G(x)=\sum_{n\geq1}n\mathbb{1}_{E_n}$. Conversely, the integrability of $G$ implies the integrability of $|f|$.

$\endgroup$

Your Answer

Sign up or log in

Sign up using Google Sign up using Facebook Sign up using Email and Password

Post as a guest

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

You Might Also Like