A Central Limit Theorem and Exponential Correlation Decay for the Coulomb Chain

We study the Coulomb chain where particles are restricted to one dimension and experience three-dimensional Coulomb interactions with their nearest and next-to-nearest neighbours. The distances between consecutive particles are treated as random variables. It is shown that the correlation between clusters of consecutive variables decay exponentially with the number of variables separating them. This result is then used to prove a central limit theorem. Keywords: Central Limit Theorem, Coulomb ensemble

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Publication Details

Journal
Markov Processes And Related Fields
Published
2025-11-11
DOI
https://doi.org/10.61102/1024-2953-mprf.2025.31.2.004
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
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article

A Central Limit Theorem and Exponential Correlation Decay for the Coulomb Chain

Henrik Ekström
Markov Processes And Related Fields
Random Matrices and Applications
article

A Central Limit Theorem and Exponential Correlation Decay for the Coulomb Chain

Henrik Ekström
article en

Abstract

We study the Coulomb chain where particles are restricted to one dimension and experience three-dimensional Coulomb interactions with their nearest and next-to-nearest neighbours. The distances between consecutive particles are treated as random variables. It is shown that the correlation between clusters of consecutive variables decay exponentially with the number of variables separating them. This result is then used to prove a central limit theorem. Keywords: Central Limit Theorem, Coulomb ensemble

Markov Processes And Related Fields(2025 №2 (31))
Lund University (SE)
Openalex Percentile: Top 69%
Random Matrices and Applications
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