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Perturbations of Voter model in one-dimension

Perturbations of voter model in one-dimension
Authors: Newman, C.M.; Ravishankar, K.; Schertzer, E.;

Perturbations of Voter model in one-dimension

Abstract

We study the scaling limit of a large class of voter model perturbations in one dimension, including stochastic Potts models, to a universal limiting object, the continuum voter model perturbation. The perturbations can be described in terms of bulk and boundary nucleations of new colors (opinions). The discrete and continuum (space) models are obtained from their respective duals, the discrete net with killing and Brownian net with killing. These determine the color genealogy by means of reduced graphs. We focus our attention on models where the voter and boundary nucleation dynamics depend only on the colors of nearest neighbor sites, for which convergence of the discrete net with killing to its continuum analog was proved in an earlier paper by the authors. We use some detailed properties of the Brownian net with killing to prove voter model perturbations convergence to its continuum counterpart. A crucial property of reduced graphs is that even in the continuum, they are finite almost surely. An important issue is how vertices of the continuum reduced graphs are strongly approximated by their discrete analogues.

13 figures

Country
France
Keywords

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Functional limit theorems; invariance principles, 82B20, Probability (math.PR), Brownian net with killing, Interacting random processes; statistical mechanics type models; percolation theory, voter model, Brownian web, 60F17, 60K35, Brownian net, FOS: Mathematics, Potts model, Point processes (e.g., Poisson, Cox, Hawkes processes), scaling limit, 82C22, Brownian motion, Poisson point process, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold