Let $\{f_n\}$ and $f$ be Lebesgue measurable functions on $E$ where $|E|<\infty$. Assume that $f_n\to f$ in measure and $\sup_n\|f_n\|_{L^p(E)}<\infty$ for some $p>1$.
(a) Prove that $f_n$ converges to $f$ in $L^1$ norm.
(b) Show by counterexample that this convergence may no longer hold if you replace the $L^p$ condition with $\sup_n \|f_n\|_{L^1(E)}$.
I can deal with the show by counterexample part. Let $f_n(x)=n\chi_{[0,\frac{1}{n}]}$ and $E=[0,1]$, then $f_n(x)\to 0$ in measure. However, $\int_0^1 f_n(x)-f(x)dx=1$.
I am stuck in proving part (a), I tried to use Egorov theorem, which requires $f_n\to f$ a.e. Since $f_n \to f$ in measure, then there is a subsequence $f_{n_k}$ converge a.e. Then $f_{n_k}$ converges uniformly in a compact set $F$. So $$\int_{E}|f_{n_k}(x)-f(x)|dx=\int_{F}|f_{n_k}(x)-f(x)|dx+\int_{E\backslash F}|f_{n_k}(x)-f(x)|dx$$ By the uniformly convergence of $f_{n_k}$ on $F$, then $\int_{F}|f_{n_k}(x)-f(x)|dx<\epsilon M$.
I have trouble with the $\int_{E\backslash F}|f_{n_k}(x)-f(x)|dx$ part.
$\int_{E\backslash F}|f_{n_k}(x)-f(x)|dx<\|f_{n_k}(x)-f(x)\|_{L^p(E\backslash F)}\|\Bbb{1}\|_{L^q(E\backslash F)}<\epsilon \|f_{n_k}(x)-f(x)\|_{L^p(E\backslash F)} $ by Holder's inequality.
Then how to show $\|f_{n_k}(x)-f(x)\|_{L^p(E\backslash F)}$ is actually bounded by the condition given in the problem? And if $\|f_{n_k}(x)-f(x)\|_{L^p(E\backslash F)}$ is bounded, it only proves the subsequence $f_{n_k}$ converges in $L^1$ norm, how to show the $f_n$ also converges in $L^1$ norm?
Could someone kindly help? Thanks!