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Are All Sets of Positive Measure Essentially Convex?

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Geometric Aspects of Functional Analysis

Part of the book series: Operator Theory Advances and Applications ((OT,volume 77))

Abstract

This article discusses the conjecture that roughly speaking, any set A of positive measure is close to a convex set of positive measure, in the sense that such a convex set could be obtained from A using a bounded number of operations. We formulate the conjecture in Gaussian space, and a more special (but more fundamental) version in the set of sequences of zeroes and ones.

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References

  1. W. Rhee, M. Talagrand, Packing random items of three colors, Combinatorica 12, 1992, 331–350.

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  2. M. Talagrand, Regularity of Gaussian processes, Acta Math. 159 (1984), 99–149.

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  3. M. Talagrand, The structure of sign invariant G. B. sets, and of certain gaussian measures, Ann. Probab. 16 (1988), 172–179.

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J. Lindenstrauss V. Milman

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© 1995 Birkhäuser Verlag Basel/Switzerland

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Talagrand, M. (1995). Are All Sets of Positive Measure Essentially Convex?. In: Lindenstrauss, J., Milman, V. (eds) Geometric Aspects of Functional Analysis. Operator Theory Advances and Applications, vol 77. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-9090-8_25

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  • DOI: https://doi.org/10.1007/978-3-0348-9090-8_25

  • Publisher Name: Birkhäuser Basel

  • Print ISBN: 978-3-0348-9902-4

  • Online ISBN: 978-3-0348-9090-8

  • eBook Packages: Springer Book Archive

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