Edge-reinforced random walk, vertex-reinforced jump process and the supersymmetric hyperbolic sigma model
Author(s) -
Christophe Sabot,
Pierre Tarrès
Publication year - 2015
Publication title -
journal of the european mathematical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.549
H-Index - 64
eISSN - 1435-9863
pISSN - 1435-9855
DOI - 10.4171/jems/559
Subject(s) - mathematics , vertex (graph theory) , jump , sigma , random walk , enhanced data rates for gsm evolution , pure mathematics , mathematical analysis , combinatorics , geometry , statistics , graph , physics , quantum mechanics , telecommunications , computer science
18 pagesInternational audienceEdge-reinforced random walk (ERRW), introduced by Coppersmith and Diaconis in 1986, is a random process that takes values in the vertex set of a graph G, which is more likely to cross edges it has visited before. We show that it can be interpreted as an annealed version of the Vertex-reinforced jump process (VRJP), conceived by Werner and first studied by Davis and Volkov (2002,2004), a continuous-time process favouring sites with more local time. We calculate, for any finite graph G, the limiting measure of the centred occupation time measure of VRJP, and interpret it as a supersymmetric hyperbolic sigma model in quantum field theory. This enables us to deduce that VRJP is recurrent in any dimension for large reinforcement, using a localisation result of Disertori and Spencer (2010)
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