From: Brenda Sue Cook (brenda@math.missouri.edu)
Date: Fri Jan 18 2008 - 08:33:21 CST
COLLOQUIUM
Department of Mathematics
Yehoram Gordon
Technion, Israel Institute of Technology
Applications of the Gausssian min-max theorem in convex geometry
Abstract: We show how to apply the Gaussian min-max theorem to
provide direct easy proofs of several famous results in asymptotic
geometric analysis, such as: The Dvoretzky theorem, the Johnson--
Lindenstrauss Lemma, Gluskin’s theorem on almost isometric embedding
Hilbert space of k-dimensional Hilbert space in l^n_1, the Milman--
Schechtman theorem on isomorphic embedding of k-dimensional Hilbert
space in any n-dimensional Banach space, the theorem on restricted
isometry property (RIP) for sparse vectors.
Thursday, January 24
3:30 p.m.
11 Cornell Hall
Refreshments will be served at 3:00 p.m.
in Room 326 Mathematical Sciences (Math Lounge).
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