14,176 research outputs found

    The sandwich theorem

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    This report contains expository notes about a function Ï‘(G)\vartheta(G) that is popularly known as the Lov\'asz number of a graph~GG. There are many ways to define Ï‘(G)\vartheta(G), and the surprising variety of different characterizations indicates in itself that Ï‘(G)\vartheta(G) should be interesting. But the most interesting property of Ï‘(G)\vartheta(G) is probably the fact that it can be computed efficiently, although it lies ``sandwiched'' between other classic graph numbers whose computation is NP-hard. I~have tried to make these notes self-contained so that they might serve as an elementary introduction to the growing literature on Lov\'asz's fascinating function

    The asymmetric sandwich theorem

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    We discuss the asymmetric sandwich theorem, a generalization of the Hahn-Banach theorem. As applications, we derive various results on the existence of linear functionals that include bivariate, trivariate and quadrivariate generalizations of the Fenchel duality theorem. Most of the results are about affine functions defined on convex subsets of vector spaces, rather than linear functions defined on vector spaces. We consider both results that use a simple boundedness hypothesis (as in Rockafellar's version of the Fenchel duality theorem) and also results that use Baire's theorem (as in the Robinson-Attouch-Brezis version of the Fenchel duality theorem). This paper also contains some new results about metrizable topological vector spaces that are not necessarily locally convex.Comment: 17 page

    A Ham Sandwich Theorem for General Measures

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    The "ham sandwich" theorem has been proven only for measures that are absolutely continuous with respect to Lesbeque measure. We prove a generalized version of the ham sandwich theorem which is applicable to arbitrary finite measures, and we give some sufficient conditions for uniqueness of the hyperplane identified by the theorem

    Few Cuts Meet Many Point Sets

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    We study the problem of how to breakup many point sets in Rd\mathbb{R}^d into smaller parts using a few splitting (shared) hyperplanes. This problem is related to the classical Ham-Sandwich Theorem. We provide a logarithmic approximation to the optimal solution using the greedy algorithm for submodular optimization
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