A dynamical classification of the range of pair interactions
Andrea Gabrielli, Michael Joyce, Bruno Marcos, Francois Sicard

TL;DR
This paper classifies pair interactions based on the convergence of force distributions in large systems, distinguishing between short-range and long-range behaviors and their implications for defining forces in infinite particle systems.
Contribution
It introduces a dynamical classification of pair interactions based on force convergence properties, extending understanding of force behavior in infinite particle systems.
Findings
Force distribution converges for a > d-1, defining dynamically short-range interactions.
For a -1, the force is dominated by mean field contributions, indicating long-range interactions.
Regularization methods are discussed for defining forces in long-range cases like gravity.
Abstract
We formalize a classification of pair interactions based on the convergence properties of the {\it forces} acting on particles as a function of system size. We do so by considering the behavior of the probability distribution function (PDF) P(F) of the force field F in a particle distribution in the limit that the size of the system is taken to infinity at constant particle density, i.e., in the "usual" thermodynamic limit. For a pair interaction potential V(r) with V(r) \rightarrow \infty) \sim 1/r^a defining a {\it bounded} pair force, we show that P(F) converges continuously to a well-defined and rapidly decreasing PDF if and only if the {\it pair force} is absolutely integrable, i.e., for a > d-1, where d is the spatial dimension. We refer to this case as {\it dynamically short-range}, because the dominant contribution to the force on a typical particle in this limit arises from…
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