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Published on: January 15, 2016
How Long does it Take to Train an Elephant Random Walk
1Institute of mathematics, University of Zurich, Winterthurerstrasse 190, Zürich, 8057 Zürich Switzerland.
Summary
This study investigates how initial training impacts the Elephant Random Walk
Area of Science:
- Stochastic processes
- Mathematical physics
Background:
- The Elephant Random Walk (ERW) is a model of animal foraging behavior.
- Understanding the influence of initial conditions on random walks is crucial for modeling complex systems.
Purpose of the Study:
- To analyze the effect of conditioning on the first k steps (training) on the long-term behavior of the ERW.
- To quantify the elephant's 'forgetting rate' based on its return time to the origin.
Main Methods:
- Mathematical analysis of the Elephant Random Walk model.
- Derivation of scaling laws for the first return time to the origin under specific initial conditions.
Main Results:
- The first return time to the origin scales as k^((4-4p)/(3-4p)) in the diffusive regime.
- The first return time grows exponentially in the critical regime.
- These results provide a measure of how quickly the elephant forgets its initial training.
Conclusions:
- The initial training significantly influences the long-term dynamics of the Elephant Random Walk.
- The rate of forgetting is dependent on the specific regime (diffusive or critical).

