The Gaussian core model in high dimensions

DUKE MATHEMATICAL JOURNAL(2018)

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摘要
We prove lower bounds for energy in the Gaussian core model, in which point particles interact via a Gaussian potential. Under the potential function t bar right arrow e(-alpha t2) with 0 < alpha < 4 pi/e, we show that no point configuration R-n of density rho can have energy less than (rho + o (1))(pi/alpha)(n/2) as n -> infinity with a and rho fixed. This lower bound asymptotically matches the upper bound of rho(pi/alpha)(n/2) obtained as the expectation in the Siegel mean value theorem, and it is attained by random lattices. The proof is based on the linear programming bound, and it uses an interpolation construction analogous to those used for the Beurling-Selberg extremal problem in analytic number theory. In the other direction, we prove that the upper bound of rho(pi/alpha)(n/2) is no longer asymptotically sharp when alpha > pi e. As a consequence of our results, we obtain bounds in R-n for the minimal energy under inverse power laws t bar right arrow 1/t(n+s) with s > 0, and these bounds are sharp to within a constant factor as n -> infinity with s fixed. We prove lower bounds for energy in the Gaussian core model, in which point particles interact via a Gaussian potential. Under the potential function t bar right arrow e(-alpha t2) with 0 < alpha < 4 pi/e, we show that no point configuration R-n of density rho can have energy less than (rho + o (1))(pi/alpha)(n/2) as n -> infinity with a and rho fixed. This lower bound asymptotically matches the upper bound of rho(pi/alpha)(n/2) obtained as the expectation in the Siegel mean value theorem, and it is attained by random lattices. The proof is based on the linear programming bound, and it uses an interpolation construction analogous to those used for the Beurling-Selberg extremal problem in analytic number theory. In the other direction, we prove that the upper bound of rho(pi/alpha)(n/2) is no longer asymptotically sharp when alpha > pi e. As a consequence of our results, we obtain bounds in R-n for the minimal energy under inverse power laws t bar right arrow 1/t(n+s) with s > 0, and these bounds are sharp to within a constant factor as n -> infinity with s fixed.
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gaussian core model,high dimensions
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