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Hausdorff measure is metric and measures every Borel set
Statement
Assume the Axiom of Countable Choice. On every metric space, is a metric outer measure for each finite . In particular, if nonempty have ,
The equality also holds if either set is empty. Every Borel set is Carathéodory measurable, and the restriction to the full Carathéodory sigma-algebra is a complete measure.
Facts & Assumptions
Given: The objects, conventions, and hypotheses in the statement above.
is an outer measure under Countable Choice. Hausdorff measure is an outer measure
A metric outer measure is additive on nonempty positively separated sets. Metric outer measures
Every Borel subset of a metric space is Carathéodory measurable for every metric outer measure. Every Borel set is Carathéodory measurable for a metric outer measure
The Carathéodory domain of an outer measure is a sigma-algebra and its restriction is complete. Carathéodory's theorem: measurable sets form a sigma-algebra carrying a complete measure
Proof
Let . A covering set of diameter at most cannot meet both and . Partition any cover of their union by which set it meets, discarding sets meeting neither. Its cost is at least ; if no cover exists the inequality still holds.
Take small-scale suprema in that inequality. The supremum of the sums of the two nondecreasing scale values is the sum of their suprema: approximate both finite lower bounds at one common scale; this also proves the assertion when one supremum is infinite. Subadditivity gives the opposite inequality. Empty sets use the outer-measure zero axiom. Thus the metric condition holds, also at .
The metric criterion gives Borel measurability, and the Carathéodory theorem gives completeness on the full measurable domain.
Depends on
Used by
Dependency tree · two levels
19 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Fremlin, Measure Theory, 264C,E (standard reference, not scraped)
- Bishop–Peres, Theorem 1.2.4 (standard reference, not scraped)