Asymptotic Properties of Generalized Elephant Random Walks

Fuente: arXiv
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Main Authors: Maulik, Krishanu, Roy, Parthanil, Sadhukhan, Tamojit
Format: Preprint
Published: 2024
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author Maulik, Krishanu
Roy, Parthanil
Sadhukhan, Tamojit
author_facet Maulik, Krishanu
Roy, Parthanil
Sadhukhan, Tamojit
contents Elephant random walk is a special type of random walk that incorporates the memory of the past to determine its future steps. The probability of this walk taking a particular step (+1 or -1) at a time point, conditioned on the entire history, depends on a linear function of the proportion of steps of that type till that time point. In this work, we consider a generalization of the elephant random walk where we investigate how the dynamics of the random walk will change if we replace this linear function with a generic map satisfying some analytic conditions. We propose a new model, called the multidimensional generalized elephant random walk, that includes several variants of elephant random walk in one and higher dimensions and generalizations thereof. Using tools from the theory of stochastic approximation, we derive the asymptotic behavior of our model leading to newer results on the phase transition boundary between diffusive and non-diffusive regimes. In the process, we extend some results on one-dimensional stochastic approximation process, which can be of independent interest. We also mention a few open problems in this context.
format Preprint
id arxiv_https___arxiv_org_abs_2406_19383
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Asymptotic Properties of Generalized Elephant Random Walks
Maulik, Krishanu
Roy, Parthanil
Sadhukhan, Tamojit
Probability
Statistical Mechanics
Primary: 60K50, Secondary: 60F05, 60F15, 82B26
Elephant random walk is a special type of random walk that incorporates the memory of the past to determine its future steps. The probability of this walk taking a particular step (+1 or -1) at a time point, conditioned on the entire history, depends on a linear function of the proportion of steps of that type till that time point. In this work, we consider a generalization of the elephant random walk where we investigate how the dynamics of the random walk will change if we replace this linear function with a generic map satisfying some analytic conditions. We propose a new model, called the multidimensional generalized elephant random walk, that includes several variants of elephant random walk in one and higher dimensions and generalizations thereof. Using tools from the theory of stochastic approximation, we derive the asymptotic behavior of our model leading to newer results on the phase transition boundary between diffusive and non-diffusive regimes. In the process, we extend some results on one-dimensional stochastic approximation process, which can be of independent interest. We also mention a few open problems in this context.
title Asymptotic Properties of Generalized Elephant Random Walks
topic Probability
Statistical Mechanics
Primary: 60K50, Secondary: 60F05, 60F15, 82B26
url https://arxiv.org/abs/2406.19383