Spherical Measure
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In mathematics — specifically, in
geometric measure theory In mathematics, geometric measure theory (GMT) is the study of geometric properties of sets (typically in Euclidean space) through measure theory. It allows mathematicians to extend tools from differential geometry to a much larger class of surfa ...
— spherical measure ''σ''''n'' is the "natural" Borel measure on the ''n''-sphere S''n''. Spherical measure is often normalized so that it is a probability measure on the sphere, i.e. so that ''σ''''n''(S''n'') = 1.


Definition of spherical measure

There are several ways to define spherical measure. One way is to use the usual "round" or " arclength"
metric Metric or metrical may refer to: * Metric system, an internationally adopted decimal system of measurement * An adjective indicating relation to measurement in general, or a noun describing a specific type of measurement Mathematics In mathem ...
''ρ''''n'' on S''n''; that is, for points ''x'' and ''y'' in S''n'', ''ρ''''n''(''x'', ''y'') is defined to be the (Euclidean) angle that they subtend at the centre of the sphere (the origin of R''n''+1). Now construct ''n''-dimensional
Hausdorff measure In mathematics, Hausdorff measure is a generalization of the traditional notions of area and volume to non-integer dimensions, specifically fractals and their Hausdorff dimensions. It is a type of outer measure, named for Felix Hausdorff, that as ...
''H''''n'' on the metric space (S''n'', ''ρ''''n'') and define :\sigma^ = \frac H^. One could also have given S''n'' the metric that it inherits as a subspace of the Euclidean space R''n''+1; the same spherical measure results from this choice of metric. Another method uses Lebesgue measure ''λ''''n''+1 on the ambient Euclidean space R''n''+1: for any measurable subset ''A'' of S''n'', define ''σ''''n''(''A'') to be the (''n'' + 1)-dimensional volume of the "wedge" in the ball B''n''+1 that it subtends at the origin. That is, :\sigma^(A) := \frac \lambda^ ( \ ), where :\alpha(m) := \lambda^ (\mathbf_^ (0)). The fact that all these methods define the same measure on S''n'' follows from an elegant result of Christensen: all these measures are obviously uniformly distributed on S''n'', and any two uniformly distributed Borel regular measures on a separable metric space must be constant (positive) multiples of one another. Since all our candidate ''σ''''n'''s have been normalized to be probability measures, they are all the same measure.


Relationship with other measures

The relationship of spherical measure to Hausdorff measure on the sphere and Lebesgue measure on the ambient space has already been discussed. Spherical measure has a nice relationship to Haar measure on the orthogonal group. Let O(''n'') denote the orthogonal group acting on R''n'' and let ''θ''''n'' denote its normalized Haar measure (so that ''θ''''n''(O(''n'')) = 1). The orthogonal group also acts on the sphere S''n''−1. Then, for any ''x'' ∈ S''n''−1 and any ''A'' ⊆ S''n''−1, :\theta^(\) = \sigma^(A). In the case that S''n'' is a
topological group In mathematics, topological groups are logically the combination of groups and topological spaces, i.e. they are groups and topological spaces at the same time, such that the continuity condition for the group operations connects these two st ...
(that is, when ''n'' is 0, 1 or 3), spherical measure ''σ''''n'' coincides with (normalized) Haar measure on S''n''.


Isoperimetric inequality

There is an
isoperimetric inequality In mathematics, the isoperimetric inequality is a geometric inequality involving the perimeter of a set and its volume. In n-dimensional space \R^n the inequality lower bounds the surface area or perimeter \operatorname(S) of a set S\subset\R^n ...
for the sphere with its usual metric and spherical measure (see Ledoux & Talagrand, chapter 1): If ''A'' ⊆ S''n''−1 is any Borel set and ''B''⊆ S''n''−1 is a ''ρ''''n''-ball with the same ''σ''''n''-measure as ''A'', then, for any ''r'' > 0, :\sigma^(A_) \geq \sigma^(B_), where ''A''''r'' denotes the "inflation" of ''A'' by ''r'', i.e. :A_ := \. In particular, if ''σ''''n''(''A'') ≥  and ''n'' ≥ 2, then :\sigma^(A_) \geq 1 - \sqrt \, \exp \left( - \frac \right).


References

* * (See chapter 1) * (See chapter 3) {{Measure theory Measures (measure theory)