In mathematics, a metric outer measure is an outer measure μ defined on the subsets of a given metric space (X, d) such that
\mu(A\cupB)=\mu(A)+\mu(B)
for every pair of positively separated subsets A and B of X.
Let τ : Σ → [0, +∞] be a set function defined on a class Σ of subsets of X containing the empty set ∅, such that τ(∅) = 0. One can show that the set function μ defined by
\mu(E)=\lim\delta\mu\delta(E),
\mu\delta(E)=inf\left\{\left.
infty | |
\sum | |
i=1 |
\tau(Ci)\right|Ci\in\Sigma,\operatorname{diam}(Ci)\leq\delta,
infty | |
cup | |
i=1 |
Ci\supseteqE\right\},
is not only an outer measure, but in fact a metric outer measure as well. (Some authors prefer to take a supremum over δ > 0 rather than a limit as δ → 0; the two give the same result, since μδ(E) increases as δ decreases.)
For the function τ one can use
\tau(C)=\operatorname{diam}(C)s,
where s is a positive constant; this τ is defined on the power set of all subsets of X. By Carathéodory's extension theorem, the outer measure can be promoted to a full measure; the associated measure μ is the s-dimensional Hausdorff measure. More generally, one could use any so-called dimension function.
This construction is very important in fractal geometry, since this is how the Hausdorff measure is obtained. The packing measure is superficially similar, but is obtained in a different manner, by packing balls inside a set, rather than covering the set.
Let μ be a metric outer measure on a metric space (X, d).
A1\subseteqA2\subseteq...\subseteqA=
infty | |
cup | |
n=1 |
An,
and such that An and A \ An+1 are positively separated, it follows that
\mu(A)=\supn\mu(An).
\mu(A\cupB)=\mu(A)+\mu(B).