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In [[integral geometry]] (otherwise called geometric probability theory), '''Hadwiger's theorem''' characterises the [[valuation (measure theory)|valuations]] on [[convex body|convex bodies]] in '''R'''<sup>''n''</sup>. It was proved by [[Hugo Hadwiger]].


==Introduction==


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===Valuations===
 
Let '''K'''<sup>''n''</sup> be the collection of all compact convex sets in '''R'''<sup>''n''</sup>. A '''valuation''' is a function ''v'':'''K'''<sup>''n''</sup>&nbsp;&rarr;&nbsp;'''R''' such that ''v''(&empty;)&nbsp;=&nbsp;0 and, for every ''S'',''T''&nbsp;&isin;'''K'''<sup>''n''</sup> for which ''S''&cup;''T''&isin;'''K'''<sup>''n''</sup>,
 
:<math> v(S) + v(T) = v(S \cap T) + v(S \cup T)~.</math>
 
A valuation is called continuous if it is continuous with respect to the [[Hausdorff metric]]. A valuation is called invariant under rigid motions if ''v''(''&phi;''(''S''))&nbsp;=&nbsp;''v''(''S'') whenever ''S''&nbsp;&isin;&nbsp;'''K'''<sup>''n''</sup> and ''&phi;'' is either a [[translation (geometry)|translation]] or a [[rotation (mathematics)|rotation]] of '''R'''<sup>''n''</sup>.
 
===Quermassintegrals===
{{main|quermassintegral}}
 
The quermassintegrals ''W''<sub>''j''</sub>:&nbsp;'''K'''<sup>''n''</sup>&nbsp;&rarr;&nbsp;'''R''' are defined via Steiner's formula
 
:<math> \mathrm{Vol}_n(K + t B) = \sum_{j=0}^n \binom{n}{j} W_j(K) t^j~,</math>
 
where ''B'' is the Euclidean ball. For example, ''W''<sub>0</sub> is the volume, ''W''<sub>''1''</sub> is proportional to the [[Minkowski content|surface measure]], ''W''<sub>''n''-1</sub> is proportional to the [[mean width]], and ''W''<sub>''n''</sub> is the constant Vol<sub>''n''</sub>(''B'').  
 
''W''<sub>''j''</sub> is a valuation which is [[homogeneous function|homogeneous]] of degree ''n''-''j'', that is,
 
:<math>W_j(tK) = t^{n-j} W_j(K)~, \quad t \geq 0~. </math>
 
==Statement==
 
Any continuous valuation ''v'' on '''K'''<sup>''n''</sup> that is invariant under rigid motions can be represented as
 
:<math>v(S) = \sum_{j=0}^n c_j W_j(S)~.</math>
 
===Corollary===
 
Any continuous valuation ''v'' on '''K'''<sup>''n''</sup> that is invariant under rigid motions and homogeneous of degree ''j'' is a multiple of ''W''<sub>''n''-''j''</sub>.
 
==References==
 
An account and a proof of Hadwiger's theorem may be found in
* {{cite book|mr=1608265|last=Klain|first=D.A.|last2=Rota|author2-link=Gian-Carlo Rota|first2=G.-C.|title=Introduction to geometric probability|publisher=Cambridge University Press|location=Cambridge|year=1997|isbn=0-521-59362-X}}
 
An elementary and self-contained proof was given by Beifang Chen in
* {{cite journal|title=A simplified elementary proof of Hadwiger's volume theorem|journal=Geom. Dedicata|volume=105|year=2004|pages=107&ndash;120|last=Chen|first=B.|mr=2057247}}
 
[[Category:Integral geometry]]
[[Category:Theorems in convex geometry]]
[[Category:Probability theorems]]

Revision as of 16:21, 3 February 2014

In integral geometry (otherwise called geometric probability theory), Hadwiger's theorem characterises the valuations on convex bodies in Rn. It was proved by Hugo Hadwiger.

Introduction

Valuations

Let Kn be the collection of all compact convex sets in Rn. A valuation is a function v:Kn → R such that v(∅) = 0 and, for every S,T ∈Kn for which STKn,

A valuation is called continuous if it is continuous with respect to the Hausdorff metric. A valuation is called invariant under rigid motions if v(φ(S)) = v(S) whenever S ∈ Kn and φ is either a translation or a rotation of Rn.

Quermassintegrals

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The quermassintegrals WjKn → R are defined via Steiner's formula

where B is the Euclidean ball. For example, W0 is the volume, W1 is proportional to the surface measure, Wn-1 is proportional to the mean width, and Wn is the constant Voln(B).

Wj is a valuation which is homogeneous of degree n-j, that is,

Statement

Any continuous valuation v on Kn that is invariant under rigid motions can be represented as

Corollary

Any continuous valuation v on Kn that is invariant under rigid motions and homogeneous of degree j is a multiple of Wn-j.

References

An account and a proof of Hadwiger's theorem may be found in

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An elementary and self-contained proof was given by Beifang Chen in

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