1-d gravity in infinite point distributions
Andrea Gabrielli, Michael Joyce, Francois Sicard

TL;DR
This paper addresses the challenge of defining forces in infinite one-dimensional self-gravitating particle distributions by introducing an exponential screening method, enabling well-defined dynamics relevant to cosmological simulations.
Contribution
It proposes a new force definition for infinite point distributions using exponential screening, resolving previous issues with unregulated surface mass fluctuations.
Findings
Force becomes well-defined and finite with screening method
Dynamics of perturbed lattices show self-similarity
Results resemble three-dimensional cosmological simulations
Abstract
The dynamics of infinite, asymptotically uniform, distributions of self-gravitating particles in one spatial dimension provides a simple toy model for the analogous three dimensional problem. We focus here on a limitation of such models as treated so far in the literature: the force, as it has been specified, is well defined in infinite point distributions only if there is a centre of symmetry (i.e. the definition requires explicitly the breaking of statistical translational invariance). The problem arises because naive background subtraction (due to expansion, or by "Jeans' swindle" for the static case), applied as in three dimensions, leaves an unregulated contribution to the force due to surface mass fluctuations. Following a discussion by Kiessling, we show that the problem may be resolved by defining the force in infinite point distributions as the limit of an exponentially…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
