How Long does it Take to Train an Elephant Random Walk

Abstract We study how conditioning on the first k steps, which we think of as training, affects the long-term behavior of the Elephant Random Walk. When the elephant is conditioned to be at position k at time k , the first return time to the origin scales as $$k^{(4-4p)/(3-4p)}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>k</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mn>4</mml:mn> <mml:mo>-</mml:mo> <mml:mn>4</mml:mn> <mml:mi>p</mml:mi> <mml:mo>)</mml:mo> <mml:mo>/</mml:mo> <mml:mo>(</mml:mo> <mml:mn>3</mml:mn> <mml:mo>-</mml:mo> <mml:mn>4</mml:mn> <mml:mi>p</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:msup> </mml:math> in the diffusive regime, and grows exponentially in the critical regime. We loosely interpret this as a measurement of the rate at which the elephant forgets its training.

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Publication Details

Journal
Journal of Statistical Physics
Published
2026-06-19
DOI
https://doi.org/10.1007/s10955-026-03646-7
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00

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article

How Long does it Take to Train an Elephant Random Walk

Zheng Fang
Journal of Statistical Physics
Theoretical and Computational Physics
article

How Long does it Take to Train an Elephant Random Walk

Zheng Fang
article en

Abstract

Abstract We study how conditioning on the first k steps, which we think of as training, affects the long-term behavior of the Elephant Random Walk. When the elephant is conditioned to be at position k at time k , the first return time to the origin scales as $$k^{(4-4p)/(3-4p)}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>k</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mn>4</mml:mn> <mml:mo>-</mml:mo> <mml:mn>4</mml:mn> <mml:mi>p</mml:mi> <mml:mo>)</mml:mo> <mml:mo>/</mml:mo> <mml:mo>(</mml:mo> <mml:mn>3</mml:mn> <mml:mo>-</mml:mo> <mml:mn>4</mml:mn> <mml:mi>p</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> </mml:msup> </mml:math> in the diffusive regime, and grows exponentially in the critical regime. We loosely interpret this as a measurement of the rate at which the elephant forgets its training.

Journal of Statistical PhysicsVol. 193(7)
ZHAW Zurich University of Applied Sciences (CH), University of Zurich (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 97%
Theoretical and Computational Physics
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