If $(X,\Omega,\mu)$ is a finite measure space, $k\in L^\infty(X\times X, \Omega\times \Omega,\mu \times \mu)$ , and $K:L^1(\mu)\to L^1(\mu)$ is defined by $$(Kf)(x)=\int k(x,y) f(y) d\mu(y)$$ show that $K$ is weakly compact and $K^2$ is compact.
My attempt: suppose $\{f_n\}$ is a bounded sequence in $L^1(\mu)$, then the sequence $\{(Kf_n,g)\}$ is a bounded sequence in ${\Bbb C}$, where $g\in L^\infty(\mu)$. Thus there is a subsequence $\{f_{n_i}\}$ such that the sequence $\{(Kf_{n_i},g)\}$ converges. so $K$ is weakly compact.
To show that $K^2$ is compact, I show that the sequence $\{K^2f_n\}$ is cauchy.(where $\{Kf_n\}$ is my subsequence in before part) we have $$||K^2f_n - K^2f_m||_1\leq \int \int |k(x,y)(Kf_n(y) - Kf_m(y))|d\mu(y)d\mu(x) $$ $k_x(y):=k(x,y)\in L^\infty(\mu)$, so using before part, for $\epsilon>0$, there is $n_0$ such that for $n,m>n_0$, $\int |k(x,y)(Kf_n(y) - Kf_m(y))|d\mu(y)< \epsilon/\mu(X)$. therefore $$\int \int |k(x,y)(Kf_n(y) - Kf_m(y))|d\mu(y)d\mu(x) < \epsilon $$ which shows $K^2$ is compact.
Please check my attempt. Thanks for your help.
In the first part, you showed that if $\{ f_{n} \}$ is a bounded sequence in $L^{1}_{\mu}$, then $\langle Kf_{n} | g \rangle$ has a convergent subsequence for a $g \in L^{\infty}_{\mu}$, where $\langle\cdot|\cdot\rangle$ denotes the duality pairing. You forgot that the subsequence $\langle Kf_{n} | k_{x}\rangle$ may be different for each $x$ in the second part, and ignored the issue of a.e. with respect to $x$. So you asserted the existence of a subsequence that works for all such $x$. You compounded the problem by assuming that for the common subsequence which you have not shown to exist, that $$ |\langle Kf_{n_{j}}|k_{x}\rangle-\langle Kf_{n_{k}}| k_{x}\rangle|\rightarrow 0 \;\;\;\mbox{ as }\; k,j\rightarrow \infty $$ somehow implied uniformity of convergence with respect to $x$ of $$ \langle \;|Kf_{n_{j}}-Kf_{n_{k}}|\;|\; |k_{x}|\; \rangle|\rightarrow 0 \;\;\;\mbox{ as }\; k,j\rightarrow \infty. $$