Aggregation is the key to succeed in random walks.

Abstract:

:In a random walk (RW) in Z an individual starts at 0 and moves at discrete unitary steps to the right or left with respective probabilities p and 1-p. Assuming p > 1/2 and finite a, a > 1, the probability that state a will be reached before -a is Q(a, p) where Q(a, p) > p. Here we introduce the cooperative random walk (CRW) involving two individuals that move independently according to a RW each but dedicate a fraction of time θ to approach the other one unit. This simple strategy seems to be effective in increasing the expected number of individuals arriving to a first. We conjecture that this is a possible underlying mechanism for efficient animal migration under noisy conditions.

journal_name

Math Biosci

journal_title

Mathematical biosciences

authors

Hernandez-Suarez CM

doi

10.1016/j.mbs.2016.06.011

subject

Has Abstract

pub_date

2016-09-01 00:00:00

pages

33-7

eissn

0025-5564

issn

1879-3134

pii

S0025-5564(16)30080-3

journal_volume

279

pub_type

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