Recall the parallelogram law:
$$\forall\,x,y\in X, \text{an inner product space, }\|x+y\|^2+\|x-y\|^2=2\|x\|^2+2\|y\|^2$$ This result can be used to check whether or not a norm has been induced by an inner product. Here are some examples:
- $\|\cdot\|_\infty$ on $\ell^\infty$ does not come from an inner product. To see this, take $x=(1,0,0,...)\in\ell^\infty$ and $y=(0,1,0,0,...)\in\ell^\infty$. But then, $\|x+y\|_\infty^2=\|x-y\|_\infty^2=\|x\|_\infty^2=\|y\|_\infty^2=1$, so that $\|x+y\|_\infty^2+\|x-y\|_\infty^2\neq2\|x\|_\infty^2+2\|y\|_\infty^2$. Thus, this norm is not induced by an inner product on $\ell^\infty$.
- $\|\cdot\|_1$ on $\ell^1$ does not come from an inner product. Using the same $x,y$ as for example 1., but regarding them here as elements in $\ell^1$, notice that $\|x+y\|_1^2=\|x-y\|_1^2=4$, but $\|x\|_1^2=\|y\|_1^2=1$. Then, putting it all together, we see that the parallelogram law isn't satisfied, so that this norm is not induced by an inner product on $\ell^1$.
These are some nice, easy to remember, examples which can be used with the parallelogram law to show that the respective norm is not induced by an inner product. Since the standard norm on $\ell^2$ is induced by an inner product, there isn't much to show with the Parallelogram law in the vein we did above.
But what about the Lebesgue measure, $L^p$, spaces for when $p\in[1,\infty)$? As well as in the case for $L^\infty$? Again, the norm on $L^2$ is induced by an inner product, but what about those $L^p$ spaces which are not? Which are those specific $L^p$ spaces whose norms are not induced by an inner product? And which simple, easy to remember, examples do you keep in your backpocket, ready to use in conjunction with the parallelogram law to show that?