A Statistical Solution to the Chaotic, Non-Hierarchical Three-Body Problem
Nicholas C. Stone, Nathan W.C. Leigh

TL;DR
This paper introduces a statistical, ergodic-based approach to solving the chaotic, non-hierarchical three-body problem, providing closed-form outcome distributions that align well with numerical simulations for chaotic encounters.
Contribution
It develops a novel ergodic hypothesis-based statistical solution for the non-hierarchical three-body problem, enabling analytical outcome distributions in chaotic regimes.
Findings
Good agreement between analytical distributions and numerical simulations for chaotic encounters.
Identification of 'scrambles' as key states that ergodicize the system.
Predicted super-thermal eccentricity distributions of survivor binaries.
Abstract
The three-body problem is arguably the oldest open question in astrophysics, and has resisted a general analytic solution for centuries. Various implementations of perturbation theory provide solutions in portions of parameter space, but only where hierarchies of masses or separations exist. Numerical integrations show that bound, non-hierarchical triples of Newtonian point particles will almost always disintegrate into a single escaping star and a stable, bound binary, but the chaotic nature of the three-body problem prevents the derivation of tractable analytic formulae deterministically mapping initial conditions to final outcomes. However, chaos also motivates the assumption of ergodicity, suggesting that the distribution of outcomes is uniform across the accessible phase volume. Here, we use the ergodic hypothesis to derive a complete statistical solution to the non-hierarchical…
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