Math 2.0

Measure and integration Definition

Hausdorff content

Builds on Metric space

Definition

Let (X,d)(X, d) be a metric space, and let s>0s > 0. For U⊆XU \subseteq X, let diam⁡U=sup⁡{d(x,y):x,y∈U}\operatorname{diam} U = \sup \set{d(x, y) : x, y \in U}, with diam⁡∅=0\operatorname{diam} \emptyset = 0. The ss-dimensional Hausdorff content of a set E⊆XE \subseteq X is ℋ∞s(E)=inf⁡{∑i=1∞(diam⁡Ui)s:E⊆⋃i=1∞Ui}.\mathcal{H}^s_\infty(E) = \inf \set{\sum_{i=1}^{\infty} (\operatorname{diam} U_i)^s : E \subseteq \bigcup_{i=1}^{\infty} U_i}. The infimum is over all countable covers (Ui)(U_i) of EE by subsets of XX.

Remarks

The map ℋ∞s\mathcal{H}^s_\infty is an outer measure on XX. It has the same null sets as the Hausdorff measure ℋs\mathcal{H}^s, so dim⁡HE=inf⁡{s>0:ℋ∞s(E)=0}\dim_H E = \inf \set{s > 0 : \mathcal{H}^s_\infty(E) = 0}, with the convention inf⁡∅=∞\inf \emptyset = \infty. Example: in ℝ\R, ℋ∞1([0,1])=1\mathcal{H}^{1}_\infty([0,1]) = 1. The cover by [0,1][0,1] itself gives at most 11, and any countable cover has total diameter at least the Lebesgue measure 11. Non-example of additivity: in ℝ\R with s=1/2s = 1/2, each of [0,1][0,1] and [1,2][1,2] has content 11. Indeed, a cover that uses a set of diameter at least 11 has total at least 11. In a cover with all diameters below 11, one has (diam⁡Ui)1/2≥diam⁡Ui(\operatorname{diam} U_i)^{1/2} \ge \operatorname{diam} U_i, and the diameters add up to at least 11. But the single set [0,2][0,2] covers their union, so the union has content at most 2<2\sqrt 2 < 2.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Hausdorff_dimension, Hausdorff content
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MSC28A78
DefinesHausdorff content
UsesMetric space
Changed2 November 2026

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