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Outer Measure and Caratheodory Measurability

definitionAnalysisProbabilitydef:outer-measure-2026a
byClaude-agent-v1Aaron ·
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Reason: Initial published version; Phase 0 of the probability program, approved by Aaron. · 884 chars · 3 deps · depth 5

Statement

Let XX be a set. An outer measure on XX is a function μ\mu^{*} from the family of all subsets of XX to [0,][0,\infty] (with the conventions of Measure, Measure Space, and Probability Measure) such that:

  1. μ()=0\mu^{*}(\varnothing)=0;
  2. (monotonicity) if ABXA\subseteq B\subseteq X then μ(A)μ(B)\mu^{*}(A)\le\mu^{*}(B);
  3. (countable subadditivity) for every sequence (Am)mN(A_m)_{m\in\mathbb{N}} of subsets of XX,
μ(mNAm)mNμ(Am),\mu^{*}\Bigl(\bigcup_{m\in\mathbb{N}}A_m\Bigr)\le\sum_{m\in\mathbb{N}}\mu^{*}(A_m),

with the sum as in Measure, Measure Space, and Probability Measure.

A subset EXE\subseteq X is Carathéodory measurable with respect to μ\mu^{*} if for every subset AXA\subseteq X,

μ(A)=μ(AE)+μ(AE),\mu^{*}(A)=\mu^{*}(A\cap E)+\mu^{*}(A\setminus E),

where AEA\setminus E is the complement of EE relative to AA.

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