Quadrilaterals on the square screen of their diagonals: Regge symmetries of quantum-mechanical spin-networks and Grashof classical mechanisms of four-bar linkages
Vincenzo Aquilanti, Ana Carla Peixoto Bitencourt, Concetta Caglioti,, Robenilson Ferreira dos Santos, Andrea Lombardi, Federico Palazzetti, Mirco, Ragni

TL;DR
This paper explores the relationship between four-bar linkages in mechanical engineering and quantum angular momentum theory, revealing how classical mechanisms relate to Regge symmetries and quantum 6j symbols through geometric and topological analysis.
Contribution
It establishes a novel connection between classical four-bar mechanisms and quantum angular momentum theory, illustrating their relationship via quadrilateral diagonals and Regge symmetries.
Findings
Quadrilaterals are represented on a square screen based on diagonals.
Grashof and non-Grashof mechanisms exhibit distinct topological behaviors.
Regge symmetries relate classical mechanisms to quantum angular momentum objects.
Abstract
The four-bar linkage is a basic arrangement of mechanical engineering and represents the simplest movable system formed by a closed sequence of bar-shaped bodies. Although the mechanism can have in general a spatial arrangement, we focus here on the prototypical planar case, starting however from a spatial viewpoint. The classification of the mechanism relies on the angular range spanned by the rotational motion of the bars allowed by the ratios among their lengths and is established by conditions for the existence of either one or more bars allowed to move as cranks, namely to be permitted to rotate the full 360 degrees range (Grashof cases), or as rockers with limited angular ranges (non-Grashof cases). In this paper, we provide a view on the connections between the "classic" four-bar problem and the theory of 6j symbols of quantum mechanical angular momentum theory, occurring in a…
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.
