Hint: $\|T\|_{L^{2}} \leq \|m\|_{\infty}$ is obvious from the definition of the norm. Now let $N$ be a positive integer and an $\epsilon >0$ and consider $I_A$ where $A=\{\xi: |m(\xi)| > \|m\|_{\infty} -\epsilon, \|x\|\leq N\}$. (We can choose $N$ such that $A$ has positive measure). This is an $L^{2}$ function and hence it can be written as $\hat {f}$ for some $L^{2}$ function $f$. Now $\|T\|_{L^{2}} \geq \frac {\|m(\xi)\hat {f}(\xi)\|_2} {\|f(\xi)\|_2} $ by definition of the norm of $T$. Now just simplify the last expression and let $\epsilon \to 0$.
when $\epsilon\to 0$
Therefore $|T|\geq |m|_{\infty}$ !! However, can't see the need for $N \to \infty$
– eraldcoil Dec 26 '19 at 07:01Why is inequality $|T|\leq |m|{\infty} $obvious? I have this: $|T|=\sup{|f|{2}\leq 1}|T(f)|{2}\leq \sup_{|f|{2}\leq 1} |m|{2}$
– eraldcoil Jan 13 '20 at 00:08