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A Combinatorial Approach to a Model of Constrained Random Walkers

Published online by Cambridge University Press:  16 March 2015

T. ESPINASSE
Affiliation:
Institut Camille Jordan, CNRS UMR 5208, Université Lyon 1, 43 Boulevard du 11 novembre 1918, 69622 Villeurbanne, France (e-mail: Thibault.Espinasse@math.univ-lyon1.fr, nadine.guillotin@univ-lyon1.fr, philippe.nadeau@math.univ-lyon1.fr)
N. GUILLOTIN-PLANTARD
Affiliation:
Institut Camille Jordan, CNRS UMR 5208, Université Lyon 1, 43 Boulevard du 11 novembre 1918, 69622 Villeurbanne, France (e-mail: Thibault.Espinasse@math.univ-lyon1.fr, nadine.guillotin@univ-lyon1.fr, philippe.nadeau@math.univ-lyon1.fr)
P. NADEAU
Affiliation:
Institut Camille Jordan, CNRS UMR 5208, Université Lyon 1, 43 Boulevard du 11 novembre 1918, 69622 Villeurbanne, France (e-mail: Thibault.Espinasse@math.univ-lyon1.fr, nadine.guillotin@univ-lyon1.fr, philippe.nadeau@math.univ-lyon1.fr)

Abstract

In [1], the authors consider a random walk (Zn,1, . . ., Zn,K+1) ∈ ${\mathbb{Z}}$K+1 with the constraint that each coordinate of the walk is at distance one from the following coordinate. A functional central limit theorem for the first coordinate is proved and the limit variance is explicited. In this paper, we study an extended version of this model by conditioning the extremal coordinates to be at some fixed distance at every time. We prove a functional central limit theorem for this random walk. Using combinatorial tools, we give a precise formula of the variance and compare it with that obtained in [1].

Type
Paper
Copyright
Copyright © Cambridge University Press 2015 

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References

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