ALLA SCOPERTA DI SCHEMI NASCOSTI NELLE DINAMICHE COMPLESSE: DAL PROBLEMA DEGLI N-CORPI ALLE RETI NEURALI (E RITORNO)

In this note, we present the theoretical and computational approach our research group is developing to detect chaotic behaviours in the classical N-body problem of Celestial Mechanics. Inspired by the famous Poincaré conjecture, we numerically determine large sets of symmetric periodic orbits and we encode their simple motions by revealing the existence of a symbolic dynamics. Finally, we explore a new idea for combining periodic orbits to create new solutions with increasing complexity, using AI algorithms. We also revisit Conley’s ideas on low-energy transport orbits.

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Publication Details

Journal
Istituto Lombardo - Accademia di Scienze e Lettere - Rendiconti di Scienze
Published
2025-02-12
DOI
https://doi.org/10.4081/scienze.2024.873
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

ALLA SCOPERTA DI SCHEMI NASCOSTI NELLE DINAMICHE COMPLESSE: DAL PROBLEMA DEGLI N-CORPI ALLE RETI NEURALI (E RITORNO)

Gian Marco Canneori, Susanna Terracini
Istituto Lombardo - Accademia di Scienze e Lettere - Rendiconti di Scienze
Robot Manipulation and Learning
article

ALLA SCOPERTA DI SCHEMI NASCOSTI NELLE DINAMICHE COMPLESSE: DAL PROBLEMA DEGLI N-CORPI ALLE RETI NEURALI (E RITORNO)

Gian Marco Canneori, Susanna Terracini
article en

Abstract

In this note, we present the theoretical and computational approach our research group is developing to detect chaotic behaviours in the classical N-body problem of Celestial Mechanics. Inspired by the famous Poincaré conjecture, we numerically determine large sets of symmetric periodic orbits and we encode their simple motions by revealing the existence of a symbolic dynamics. Finally, we explore a new idea for combining periodic orbits to create new solutions with increasing complexity, using AI algorithms. We also revisit Conley’s ideas on low-energy transport orbits.

Istituto Lombardo - Accademia di Scienze e Lettere - Rendiconti di Scienze
University of Turin (IT)
Openalex Percentile: Top 97%
Robot Manipulation and Learning
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