The robustness of equilibria on convex solids
G. Domokos, Z. L\'angi

TL;DR
This paper investigates the minimal perturbations needed to alter the number of static equilibrium points of convex solids, introducing concepts of external and internal robustness, and identifies shapes with maximal robustness in various dimensions.
Contribution
It introduces the concepts of external and internal robustness for convex solids and characterizes shapes with maximal robustness, especially regular polygons and polyhedra, in simplified and full problems.
Findings
Regular polygons have maximal external and internal robustness in 2D.
3D regular polyhedra have maximal internal robustness under certain constraints.
Results suggest why monostatic pebbles are rare in nature.
Abstract
We examine the minimal magnitude of perturbations necessary to change the number of static equilibrium points of a convex solid . We call the normalized volume of the minimally necessary truncation robustness and we seek shapes with maximal robustness for fixed values of . While the upward robustness (referring to the increase of ) of smooth, homogeneous convex solids is known to be zero, little is known about their downward robustness. The difficulty of the latter problem is related to the coupling (via integrals) between the geometry of the hull and the location of the center of gravity . Here we first investigate two simpler, decoupled problems by examining truncations of with fixed, and displacements of with fixed, leading to the concept of external \rm and internal \rm robustness, respectively. In dimension 2, we find that for any…
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