On the Orbits of Similarity Classes of Tetrahedra Generated by the Longest-Edge Bisection Algorithm
J\'er\^ome Michaud, Sergey Korotov

TL;DR
This paper investigates the shape evolution of tetrahedra under the longest-edge bisection algorithm using a novel normalized geometric representation, revealing finite orbits and non-degeneracy properties crucial for finite element methods.
Contribution
It introduces a canonical normalized space for tetrahedra and analyzes the dynamical behavior of the LEB algorithm, showing finite orbits and stability properties.
Findings
The orbit of the Sommerville tetrahedron contains only 4 similarity classes.
Small perturbations lead to finite orbits, indicating stability.
Numerical evidence suggests LEB does not produce degenerating tetrahedra.
Abstract
In this work, we study the dynamics of similarity classes of tetrahedra generated by the longest-edge bisection (LEB) algorithm. Building on the normalization strategy introduced by Perdomo and Plaza for triangles, we construct a canonical representation of tetrahedra in a normalized space embedded in the product of the hyperbolic half-plane and the hyperbolic half-space model. This representation allows us to define the left and right refinement maps, and , acting on the space of normalized tetrahedral shapes, and to study their iterative orbits as discrete dynamical systems. Using these maps, we show that the orbit of the space-filling Sommerville tetrahedron contains only 4 similarity classes, 3 of which form an attractive cycle corresponding to the orbit of the path tetrahedron. We also show that small perturbations of elements in those orbits still lead to finite…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Quasicrystal Structures and Properties · Advanced Numerical Methods in Computational Mathematics
