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We introduce the notion of cotype of a metric space, and prove that for Banach spaces it coincides with the classical notion of Rademacher cotype. This yields a concrete version of Ribe's theorem, settling a long standing open problem in the nonlinear theory of Banach spaces. We apply our results to several problems in metric geometry. Namely, we use metric cotype in the study of uniform and coarse embeddings, settling in particular the problem of classifying when L_p coarsely or uniformly embeds into L_q. We also prove a nonlinear analog of the Maurey-Pisier theorem, and use it to answer a question posed by Arora, Lovasz, Newman, Rabani, Rabinovich and Vempala, and to obtain quantitative bounds in a metric Ramsey theorem due to Matousek.
46 pages. Fixes the layout
Geometrical problems and computations Computations on discrete structures, Mathematics - Functional Analysis, Mathematics - Metric Geometry, Combinatorial algorithms, FOS: Mathematics, Metric Geometry (math.MG), 46B20, 51F99, Computations in finite fields, 004, Functional Analysis (math.FA)
Geometrical problems and computations Computations on discrete structures, Mathematics - Functional Analysis, Mathematics - Metric Geometry, Combinatorial algorithms, FOS: Mathematics, Metric Geometry (math.MG), 46B20, 51F99, Computations in finite fields, 004, Functional Analysis (math.FA)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 88 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |