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Building on Viazovska's recent solution of the sphere packing problem in eight dimensions, we prove that the Leech lattice is the densest packing of congruent spheres in twenty-four dimensions and that it is the unique optimal periodic…

Number Theory · Mathematics 2017-08-29 Henry Cohn , Abhinav Kumar , Stephen D. Miller , Danylo Radchenko , Maryna Viazovska

Viazovska proved that the $E_8$ lattice sphere packing is the densest sphere packing in 8 dimensions. Her proof relies on two inequalities between functions defined in terms of modular and quasimodular forms. We give a direct proof of these…

Number Theory · Mathematics 2023-03-24 Dan Romik

We study the sphere packing problem in Euclidean space where we impose additional constraints on the separations of the center points. We prove that any sphere packing in dimension $48$, with spheres of radii $r$, such that no two centers…

Number Theory · Mathematics 2025-03-05 Felipe Gonçalves , Guilherme Vedana

We study some sequences of functions of one real variable and conjecture that they converge uniformly to functions with certain positivity and growth properties. Our conjectures imply a conjecture of Cohn and Elkies, which in turn implies…

Metric Geometry · Mathematics 2016-03-16 Henry Cohn , Stephen D. Miller

We introduce a parameter space for periodic point sets, given as unions of $m$ translates of point lattices. In it we investigate the behavior of the sphere packing density function and derive sufficient conditions for local optimality.…

Metric Geometry · Mathematics 2012-11-25 Achill Schürmann

The present work surveys problems in $n$-dimensional space with $n$ large. Early development in the study of packing and covering in high dimensions was motivated by the geometry of numbers. Subsequent results, such as the discovery of the…

Metric Geometry · Mathematics 2022-02-24 Gábor Fejes Tóth

We present an efficient Monte Carlo method for the lattice sphere packing problem in d dimensions. We use this method to numerically discover de novo the densest lattice sphere packing in dimensions 9 through 20. Our method goes beyond…

Statistical Mechanics · Physics 2013-06-28 Yoav Kallus

For many extremal configurations of points on a sphere, the linear programming approach can be used to show their optimality. In this paper we establish the general framework for showing stability of such configurations and use this…

Information Theory · Computer Science 2023-01-25 Károly J. Böröczky , Alexey Glazyrin

In this paper we prove that no packing of unit balls in Euclidean space $\mathbb{R}^8$ has density greater than that of the $E_8$-lattice packing.

Number Theory · Mathematics 2019-04-15 Maryna Viazovska

Motivated by the search for best lattice sphere packings in Euclidean spaces of large dimensions we study randomly generated perfect lattices in moderately large dimensions (up to d=19 included). Perfect lattices are relevant in the…

Statistical Mechanics · Physics 2013-05-30 Alexei Andreanov , Antonello Scardicchio

We prove that the Leech lattice is the unique densest lattice in R^24. The proof combines human reasoning with computer verification of the properties of certain explicit polynomials. We furthermore prove that no sphere packing in R^24 can…

Metric Geometry · Mathematics 2017-08-23 Henry Cohn , Abhinav Kumar

We prove that in any dimension $n$ there exists an origin-symmetric ellipsoid ${\mathcal{E}} \subset {\mathbb{R}}^n$ of volume $ c n^2 $ that contains no points of ${\mathbb{Z}}^n$ other than the origin, where $c > 0$ is a universal…

Metric Geometry · Mathematics 2026-01-27 Boaz Klartag

We prove that the $E_8$ root lattice and the Leech lattice are universally optimal among point configurations in Euclidean spaces of dimensions $8$ and $24$, respectively. In other words, they minimize energy for every potential function…

Metric Geometry · Mathematics 2022-06-13 Henry Cohn , Abhinav Kumar , Stephen D. Miller , Danylo Radchenko , Maryna Viazovska

We develop an analogue for sphere packing of the linear programming bounds for error-correcting codes, and use it to prove upper bounds for the density of sphere packings, which are the best bounds known at least for dimensions 4 through…

Metric Geometry · Mathematics 2012-03-15 Henry Cohn , Noam Elkies

Nearly orthogonal lattices were formally defined in [4], where their applications to image compression were also discussed. The idea of ``near orthogonality" in $2$-dimensions goes back to the work of Gauss. In this paper, we focus on…

Metric Geometry · Mathematics 2021-07-20 Lenny Fukshansky , David Kogan

We describe algorithms which address two classical problems in lattice geometry: the lattice covering and the simultaneous lattice packing-covering problem. Theoretically our algorithms solve the two problems in any fixed dimension d in the…

Metric Geometry · Mathematics 2007-05-23 Achill Schuermann , Frank Vallentin

In this research announcement we outline the methods used in our recent proof that the Leech lattice is the unique densest lattice in R^24. Complete details will appear elsewhere, but here we illustrate our techniques by applying them to…

Metric Geometry · Mathematics 2012-03-15 Henry Cohn , Abhinav Kumar

The sphere packing problem is an old puzzle. We consider packings with m spheres in the unit cell (m-periodic packings). For the case m = 1 (lattice packings), Voronoi proved there are finitely many inequivalent local optima and presented…

Metric Geometry · Mathematics 2019-11-13 Alexei Andreanov , Yoav Kallus

We investigate the problem of packing identical hard objects on regular lattices in d dimensions. Restricting configuration space to parallel alignment of the objects, we study the densest packing at a given aspect ratio X. For rectangles…

Statistical Mechanics · Physics 2011-11-28 Tadeus Ras , Rolf Schilling , Martin Weigel

In a recent breakthrough, Viazovska and Cohn, Kumar, Miller, Radchenko, Viazovska solved the sphere packing problem in $\mathbb{R}^8$ and $\mathbb{R}^{24}$, respectively, by exhibiting explicit optimal functions, arising from the theory of…

Number Theory · Mathematics 2019-06-27 Nina Zubrilina
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