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- Concentration_of_measure abstract "In mathematics, concentration of measure (about a median) is a principle that is applied in measure theory, probability and combinatorics, and has consequences for other fields such as Banach space theory. Informally, it states that "A random variable that depends in a Lipschitz way on many independent variables (but not too much on any of them) is essentially constant". The c.o.m. phenomenon was put forth in the early 1970s by Vitali Milman in his works on the local theory of Banach spaces, extending an idea going back to the work of Paul Lévy. It was further developed in the works of Milman and Gromov, Maurey, Pisier, Shechtman, Talagrand, Ledoux, and others.".
- Concentration_of_measure wikiPageExternalLink concentration.ps.
- Concentration_of_measure wikiPageID "788497".
- Concentration_of_measure wikiPageRevisionID "553822001".
- Concentration_of_measure hasPhotoCollection Concentration_of_measure.
- Concentration_of_measure subject Category:Asymptotic_geometric_analysis.
- Concentration_of_measure subject Category:Measure_theory.
- Concentration_of_measure comment "In mathematics, concentration of measure (about a median) is a principle that is applied in measure theory, probability and combinatorics, and has consequences for other fields such as Banach space theory. Informally, it states that "A random variable that depends in a Lipschitz way on many independent variables (but not too much on any of them) is essentially constant". The c.o.m.".
- Concentration_of_measure label "Concentration of measure".
- Concentration_of_measure sameAs m.03c944.
- Concentration_of_measure sameAs Q5158327.
- Concentration_of_measure sameAs Q5158327.
- Concentration_of_measure wasDerivedFrom Concentration_of_measure?oldid=553822001.
- Concentration_of_measure isPrimaryTopicOf Concentration_of_measure.