In the article on $\ell_p$-space, Wikipedia gives two alternatives for the $p\to 0$ limit of a $p$-norm. One is
$$\lVert x\rVert_0 = \sum_n 2^{-n}\frac{\vert x_n\rvert}{1+\lvert x_n\rvert}$$
and the other is the number of nonzero components
$$\lVert x\rVert_0 = \sum_n \lvert x_n\rvert^0$$
with the convention that $0^0=0.$ I suppose this latter definition only works in finite dimensions.
Neither of these definitions makes much sense to me. It seems to me that the definition of the $p$-norm for $p=0$ should be
$$\lVert x \rVert_0 = \prod_n \lvert x_n\rvert.$$
The exact same calculation that shows that the $p\to0$ limit of the Hölder mean is the geometric mean seems to work here. Just as we show by passing through an exponentiation that
$$\lim_{p\to 0} \left(\frac{1}{n}\sum_n\lvert x_n\rvert^p\right)^{1/p} = \left(\prod_n |x_n|\right)^{1/n},$$
an almost identical computation seems to show that
$$\lim_{p\to 0} \left(\sum_n\lvert x_n\rvert^p\right)^{1/p} = \prod_n |x_n| = \exp\left(\sum_n \log \lvert x_n\rvert\right).$$
Wouldn't it make the most sense to take this as the definition of the $0$-"norm" (quotes here because the $\ell_p$ norm is only a norm for $1\leq p \leq \infty$), analogous to the $0$-mean/geometric mean? Or at least offer it as an alternative?