Original title: Families of relative periodic orbits in the planar three-body problem via consecutive alignments
Joan Gimeno, Marc Jorba-Cuscó, Begoña Nicolás · September 2026
Predicting how three objects move under gravity is notoriously difficult. Usually, their paths never repeat. Researchers studied relative periodic orbits, which are paths that repeat if you watch them from a steadily spinning viewpoint. Tracking these paths normally requires solving massive, complicated equations. Instead, the team focused on special moments when all three bodies line up in a straight line, called syzygies. By matching the objects' locations and speeds between two alignments in a row, they shrunk the math into a much simpler problem. They used this method to calculate full families of matching paths for different object masses. They found paths shifting from circular to stretched-out ovals, and paths that swap between stable and unstable. In some cases, a small body escapes its host object to orbit a larger star. These mapped motions can now serve as reliable paths for models tracking four bodies.
Imagine three dancers in a routine who must pass through the same formation twice. Normally, coordinating such a dance is chaotic because small changes throw everything off. The researchers here use these two formation moments as checkpoints to map out entire routines that are stable and repeat. By fixing positions and speeds at these alignments, they generate all possible versions of the dance that work.
This helps astronomers predict motions of triple star systems or design spacecraft trajectories that use gravitational interactions. Without it, such systems are hard to study because their paths are unpredictable.
The abstract doesn't specify limitations, but the method applies only to the planar case with Newtonian gravity, and results depend on chosen mass distributions and initial configurations. It doesn't address three-dimensional motion or general relativity.
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Families of relative periodic orbits in the planar three-body problem via consecutive alignments — Joan Gimeno, Marc Jorba-Cuscó, Begoña Nicolás
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.