Journal article
On the speed of once-reinforced biased random walk on trees
A Collevecchio, M Holmes, D Kious
Electronic Journal of Probability | UNIV WASHINGTON, DEPT MATHEMATICS | Published : 2018
DOI: 10.1214/18-EJP208
Abstract
We study the asymptotic behaviour of once-reinforced biased random walk (ORbRW) on Galton-Watson trees. Here the underlying (unreinforced) random walk has a bias towards or away from the root. We prove that in the setting of multiplicative once-reinforcement the ORbRW can be recurrent even when the underlying biased random walk is ballistic. We also prove that, on Galton-Watson trees without leaves, the speed is positive in the transient regime. Finally, we prove that, on regular trees, the speed of the ORbRW is monotone decreasing in the reinforcement parameter when the underlying random walk has high speed, and the reinforcement parameter is small.
Related Projects (1)
Grants
Awarded by New York University
Funding Acknowledgements
MH's research was supported by a Marsden grant, administered by the Royal Society of NZ, and by an ARC Future Fellowship, FT160100166. DK is grateful to the University of Auckland, to Monash University for their hospitality and to the Ecole Polytechnique Federale de Lausanne to which he was affiliated to at the time this work was initiated. A.C. is grateful to New York University in Shanghai for its hospitality, and he was supported by ARC grants DP140100559 and DP180100613.