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Title: Voting models and semilinear parabolic equations
Abstract

We present probabilistic interpretations of solutions to semi-linear parabolic equations with polynomial nonlinearities in terms of the voting models on the genealogical trees of branching Brownian motion (BBM). These extend McKean’s connection between the Fisher–KPP equation and BBM (McKean 1975Commun. Pure Appl. Math.28323–31). In particular, we present ‘random outcome’ and ‘random threshold’ voting models that yield any polynomial nonlinearityfsatisfyingf(0)=f(1)=0and a ‘recursive up the tree’ model that allows to go beyond this restriction onf. We compute several examples of particular interest; for example, we obtain a curious interpretation of the heat equation in terms of a nontrivial voting model and a ‘group-based’ voting rule that leads to a probabilistic view of the pushed-pulled transition for a class of nonlinearities introduced by Ebert and van Saarloos.

 
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Award ID(s):
2204615
NSF-PAR ID:
10469058
Author(s) / Creator(s):
; ;
Publisher / Repository:
IOP Publishing
Date Published:
Journal Name:
Nonlinearity
Volume:
36
Issue:
11
ISSN:
0951-7715
Format(s):
Medium: X Size: p. 6104-6123
Size(s):
p. 6104-6123
Sponsoring Org:
National Science Foundation
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