SPTRF

Studies in Probability Theory and Related Fields

Coordinatore	TEL AVIV UNIVERSITY    more  Organization address address: RAMAT AVIV city: TEL AVIV postcode: 69978 contact info Titolo: Ms. Nome: Lea Cognome: Pais Email: send email Telefono: 97236408774 Fax: 97236409697
Nazionalità Coordinatore	Israel [IL]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2010-RG
Funding Scheme	MC-IRG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-05-01   -   2015-10-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TEL AVIV UNIVERSITY  Organization address address: RAMAT AVIV city: TEL AVIV postcode: 69978 contact info Titolo: Ms. Nome: Lea Cognome: Pais Email: send email Telefono: 97236408774 Fax: 97236409697	IL (TEL AVIV)	coordinator	100˙000.00

Mappa

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 Obiettivo del progetto (Objective)

The proposed project combines several studies in Probability Theory and its connections with Statistical Physics, Computer Science, Combinatorics and Approximation Theory. The first two studies aim to uncover the Gibbs-state structure of two statistical physics models in high dimensions - the anti-ferromagnetic 3-state Potts model and the hard-core model. These studies are intimately related to combinatorial questions of the rigidity of independent sets and proper 3-colorings in the high-dimensional cubic lattice. The third study aims to investigate the notion of independence sensitivity of a boolean function, a notion coming from computer science and error-correcting codes, in the context of complex statistical physics functions such as the percolation crossing function. In the fourth study we will investigate the existence and geometric properties of optimal allocations of mass in an infinite volume setting. This study continues recent developments on factor-map extensions of spatial processes. In the final study, we aim to use probabilistic and analytic tools to answer a long-standing question in approximation theory: how well can Lebesgue measure on the sphere be approximated by a prescribed number of point masses? These studies will significantly extend our understanding of probability theory and its related fields.