Vitale's random Brunn–Minkowski inequality
In mathematics, Vitale's random Brunn–Minkowski inequality is a theorem due to Richard Vitale that generalizes the classical Brunn–Minkowski inequality for compact subsets of n-dimensional Euclidean space Rn to random compact sets.
Statement of the inequality
Let X be a random compact set in Rn; that is, a Borel–measurable function from some probability space (Ω, Σ, Pr) to the space of non-empty, compact subsets of Rn equipped with the Hausdorff metric. A random vector V : Ω → Rn is called a selection of X if Pr(V ∈ X) = 1. If K is a non-empty, compact subset of Rn, let
:
and define the set-valued expectation E[X] of X to be
:
Note that E[X] is a subset of Rn. In this notation, Vitale's random Brunn–Minkowski inequality is that, for any random compact set X with ,
:
where "" denotes n-dimensional Lebesgue measure.
Relationship to the Brunn–Minkowski inequality
If X takes the values (non-empty, compact sets) K and L with probabilities 1 − λ and λ respectively, then Vitale's random Brunn–Minkowski inequality is simply the original Brunn–Minkowski inequality for compact sets.
References
- {{cite journal
| last=Gardner
| first=Richard J.
| title=The Brunn-Minkowski inequality
| journal=Bull. Amer. Math. Soc. (N.S.)
| volume=39
| issue=3
| year=2002
| pages=355–405 (electronic)
| url = http://www.ams.org/bull/2002-39-03/S0273-0979-02-00941-2/S0273-0979-02-00941-2.pdf
| doi=10.1090/S0273-0979-02-00941-2
| doi-access=free
}}
- {{cite journal
| last = Vitale
| first = Richard A.
| title = The Brunn-Minkowski inequality for random sets
| journal = J. Multivariate Anal.
| volume = 33
| issue = 2
| year = 1990
| pages = 286–293
| doi = 10.1016/0047-259X(90)90052-J
| doi-access = free
}}
{{Lp spaces}}
{{Measure theory}}
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