An outer measure on a set XX is a function μ∗:P(X)→[0,∞]\mu^*:\mathcal P(X)\to[0,\infty] such that μ∗(∅)=0\mu^*(\varnothing)=0, μ∗(A)≤μ∗(B)\mu^*(A)\le \mu^*(B) whenever A⊆BA\subseteq B, and for every sequence (An)n≥1(A_n)_{n\ge 1},

μ∗ ⁣(⋃n=1∞An)≤∑n=1∞μ∗(An).\mu^*\!\left(\bigcup_{n=1}^\infty A_n\right)\le \sum_{n=1}^\infty \mu^*(A_n).

Outer measures live on the full and are used to define . The turns an outer measure into a genuine on a sigma-algebra.

Examples
  • If (X,Σ,μ)(X,\Sigma,\mu) is a , then μ∗(A)=inf⁡{μ(B):B∈Σ, A⊆B}\mu^*(A)=\inf\{\mu(B): B\in\Sigma,\ A\subseteq B\} defines an outer measure on XX.
  • Lebesgue outer measure on Rn\mathbb R^n is an outer measure built from coverings by rectangles and is the starting point for .