At the turn of the last Century the famous
mathematician Hilbert presented a list of 23 mathematical
problems. The 18th of these problems, Kepler's Conjecture, can be phrased,
Is there a better stacking of oranges than the pyramids found
at the fruit stand? In pyramids, the oranges fill just
over $74$% of space. Can a different packing do better?
In August 1998, nearly 400 years after Kepler first made his conjecture, Thomas Hales, with the help of his graduate student, Samuel Ferguson, confirmed the conjecture, and solved Hilbert's 18th problem.
These pages give the broad outlines of the proof of the Kepler conjecture in the most elementary possible terms. Along the way the history of the Kepler conjecture is sketched.
Theorem (Kepler conjecture). No packing of balls of the same radius in three dimensions has density greater than the face-centered cubic packing.
Let $t>1$ be a real number. We define a cluster of balls to be a set of nonoverlapping balls around a fixed ball at the origin, with the property that the ball centers have distance at most $2t$ from the origin. A cluster of $n$ balls is determined by the $3n$ coordinates of the centers. The ball at the center of the cluster is contained in a Voronoi cell. By definition, the Voronoi cell is the set of all points that lie closer to the origin than to any other ball center in the cluster.
Voronoi cells give a bound on the density of sphere packings.
A related problem, of even greater antiquity, is: What is the most efficient partition of the plane into equal areas? The honeycomb conjecture asserts that the answer is the regular hexagonal honeycomb.
After completing the proof of the Kepler conjecture, Thomas Hales turned his attention to the honeycomb conjecture. Somewhat to his surprise he obtained a (relatively) short solution without resort to computers.
Theorem (Honeycomb conjecture). Any partition of the plane into regions of equal area has perimeter at least that of the regular hexagonal honeycomb tiling.
How can space be divided into cavities of equal volume so as to minimize the surface area of the boundary?
This is Hale's submission for a millenial `Hilbert problem list'