Packings of Smoothed Polygons
Thomas Hales, Koundinya Vajjha

TL;DR
This work proves that the most unpackable centrally symmetric convex disk in the plane is a smoothed polygon, using optimal control theory, and explores the complex structures and behaviors in this packing problem.
Contribution
It proves Mahler's first conjecture that the most unpackable disk is a smoothed polygon, advancing understanding of geometric packing problems with optimal control methods.
Findings
Smoothed polygons are the optimal shapes for packing in this context.
Chattering behavior in control solutions is linked to infinitely-sided smoothed polygons.
A discrete dynamical system analysis helps eliminate complex solutions.
Abstract
This book uses optimal control theory to prove that the most unpackable centrally symmetric convex disk in the plane is a smoothed polygon. A smoothed polygon is a polygon whose corners have been rounded in a special way by arcs of hyperbolas. To be highly unpackable means that even densest packing of that disk has low density. Motivated by Minkowski's geometry of numbers, researchers began to search for the most unpackable centrally symmetric convex disk (in brief, the most unpackable disk) starting in the early 1920s. In 1934, Reinhardt conjectured that the most unpackable disk is a smoothed octagon. Working independently of Reinhardt, Mahler attempted without success in 1947 to prove that the most unpackable disk must be a smoothed polygon. This book proves what Mahler set out to prove: Mahler's First conjecture on smoothed polygons. His second conjecture is identical to the…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Metal Forming Simulation Techniques · Optimization and Packing Problems
