LIMITTRANDOMMEDIA

Limit theorems for processes in random media

 Coordinatore TECHNISCHE UNIVERSITAET MUENCHEN 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Germany [DE]
 Totale costo 504˙000 €
 EC contributo 504˙000 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2009-StG
 Funding Scheme ERC-SG
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-11-01   -   2014-10-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE HEBREW UNIVERSITY OF JERUSALEM.

 Organization address address: GIVAT RAM CAMPUS
city: JERUSALEM
postcode: 91904

contact info
Titolo: Ms.
Nome: Jane
Cognome: Turner
Email: send email
Telefono: +972 2 6586676
Fax: +972 2 6513205

IL (JERUSALEM) beneficiary 290˙587.44
2    TECHNISCHE UNIVERSITAET MUENCHEN

 Organization address address: Arcisstrasse 21
city: MUENCHEN
postcode: 80333

contact info
Titolo: Dr.
Nome: Noam
Cognome: Berger
Email: send email
Telefono: +49 89 289 18781
Fax: +49 89 289 18782

DE (MUENCHEN) hostInstitution 213˙412.55
3    TECHNISCHE UNIVERSITAET MUENCHEN

 Organization address address: Arcisstrasse 21
city: MUENCHEN
postcode: 80333

contact info
Titolo: Ms.
Nome: Ulrike
Cognome: Ronchetti
Email: send email
Telefono: +49 89 289 22616
Fax: +49 89 289 22620

DE (MUENCHEN) hostInstitution 213˙412.55

Mappa


 Word cloud

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perturbative    regularity    convergence    motion    rwre    methodology    random    environment    models    medium    walk    model    crw    studied   

 Obiettivo del progetto (Objective)

'Classical random walks (CRW) have been studied for centuries, and very detailed information is known about them. However, most of the techniques for studying CRW are based on the complete regularity and the group structure of the medium. When modeling real world phenomena, this regularity assumption rarely holds, and therefore CRW is not a sufficient model. As a result, a number of non-classical models of random walk have been suggested. These models are believed to better model actual natural processes. One of the most studied of non-classical random walk models is random walk in random environment (RWRE). In RWRE the medium ("environment") in which the process takes place is random, and the law of the random walk varies as a function of the location. RWRE can model, for instance, the motion of an electron in an alloy, the movement of enzymes along a DNA sequence and many other processes. Since the CRW methodology does not work for RWRE (and, in fact, neither for other non-classical models of random walk), new methodology needed to be developed. The purpose of this project is to contribute to the study of RWRE by improving the existing methods and by developing new ones. We will work on some of the most important problems in the field, namely convergence and rate of convergence to Brownian motion for various RWRE models (e.g. reversible, perturbative and others), trapping and slowdown for RWRE models (e.g. ballistic and perturbative), ballisticity conditions, zero-one laws, and others. The output of this project is expected to contribute significantly to the understanding of RWRE systems.'

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