Linear Programming Bounds for Periodic Energy Problems
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Abstract
We develop linear programming bounds for the energy of configurations in Euclidean space which are periodic with respect to a lattice. In certain cases, the construction of sharp bounds can be formulated as a finite dimensional, multivariate polynomial interpolation problem. We construct sequences of such problems whose solutions would complete the Cohn-Kumar universal optimality conjecture for the hexagonal lattice. We solve the base cases and obtain novel results about the optimality of the hexagonal lattice among certain periodic configurations for a wide range of interactions, including inverse power laws and Gaussians.
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Point Configurations, Energy Minimization, Analysis, Metric Geometry, Mathematical Physics, Linear Programming, Lattices, Hexagonal Lattice, Universal Optimality, Computational Geometry, Potential Theory