On the probability distributions of the force and potential energy for a system with an infinite number of random point sources
E. L. S. Silva, L.H. Miranda-Filho, A. Figueiredo

TL;DR
This paper analyzes the probability distributions of force and potential energy for a test particle interacting with infinitely many random sources, identifying different limiting behaviors based on the interaction exponent and spatial dimension.
Contribution
It introduces a framework for understanding the limiting distributions of force and energy in systems with infinite random sources, including new non-singular and singular limit classifications.
Findings
Identifies three non-singular limits: Mean Field, Thermodynamic, and Mixed.
Derives conditions for convergence of force and energy distributions.
Classifies two singular limits at specific interaction exponents.
Abstract
In this work, we study the probability distribution for the force and potential energy of a test particle interacting with point random sources in the limit . The interaction is given by a central potential in a -dimensional euclidean space, where is the random relative distance between the source and the test particle, is the force exponent, and is the coupling parameter. In order to assure a well-defined limit for the probability distribution of the force and potential energy, we { must} renormalize the coupling parameter and/or the system size as a function of the number of sources. We show the existence of three non-singular limits, depending on the exponent and the spatial dimension . (i) For the force and potential energy { converge} to their respective mean values. This limit is called…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Stochastic processes and statistical mechanics · Diffusion and Search Dynamics
