In this paper we present SymOrb.jl (2024), a software which combines group representation theory and variational methods to provide numerical solutions of singular dynamical systems of paramount relevance in Celestial Mechanics and other interacting particles models. Among all, it prepares for large-scale search of symmetric periodic orbits for the classical n-body problem and their classification, paving the way towards a computational validation of Poincar & eacute; conjecture about the density of periodic orbits. Through the accessible language of Julia, Symorb.jl offers a unified implementation of an earlier version (dlfer-symorb, 2017). This paper provides theoretical and practical guidelines for the specific approach we adopt, complemented with examples.
Barutello, V., Canneori, G., Ciccarelli, R., Terracini, S., Bergomi, M., Vertechi, P., et al. (2026). Equivariant optimisation for the gravitational n-body problem: A computational factory of symmetric orbits. COMMUNICATIONS IN NONLINEAR SCIENCE & NUMERICAL SIMULATION, 152(Part B, January 2026) [10.1016/j.cnsns.2025.109180].
Equivariant optimisation for the gravitational n-body problem: A computational factory of symmetric orbits
Ferrario D. L.
2026
Abstract
In this paper we present SymOrb.jl (2024), a software which combines group representation theory and variational methods to provide numerical solutions of singular dynamical systems of paramount relevance in Celestial Mechanics and other interacting particles models. Among all, it prepares for large-scale search of symmetric periodic orbits for the classical n-body problem and their classification, paving the way towards a computational validation of Poincar & eacute; conjecture about the density of periodic orbits. Through the accessible language of Julia, Symorb.jl offers a unified implementation of an earlier version (dlfer-symorb, 2017). This paper provides theoretical and practical guidelines for the specific approach we adopt, complemented with examples.| File | Dimensione | Formato | |
|---|---|---|---|
|
Barutello et al-2026-Communications in Nonlinear Science and Numerical Simulation-VoR.pdf
accesso aperto
Tipologia di allegato:
Publisher’s Version (Version of Record, VoR)
Licenza:
Creative Commons
Dimensione
1.85 MB
Formato
Adobe PDF
|
1.85 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


