2010
DOI: 10.1007/s00454-010-9307-7
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Spherical Distribution of 5 Points with Maximal Distance Sum

Abstract: In this paper, we consider the problem of spherical distribution of 5 points, that is, how to configure 5 points on the unit sphere such that the mutual distance sum is maximal. It is conjectured that the sum of distances is maximal if the 5 points form a bipyramid distribution with two points positioned at opposite poles of the sphere and the other three positioned uniformly on the equator. We study this problem using interval methods and related techniques, and give a computer-assisted proof.

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Cited by 16 publications
(10 citation statements)
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“…So far, using elementary arguments, the regular triangular bi-pyramidal configuration was rigorously shown in [DLT02] to be the unique (up to rotation) optimizer on S 2 of the logarithmic energy (s = 0). A rigorous, computer-assisted proof of the optimality on S 2 of the regular triangular bi-pyramidal configuration if s ∈ (−2, 0) or s ∈ (0, ‫)ש‬ was achieved only recently [Schw16], where it is also proved that the regular triangular bi-pyramidal configuration is not an optimizer on S 2 when s > ‫.ש‬ That the same configuration maximizes the sum of distances on S 2 and therefore minimizes the Riesz −1-energy on S 2 was established earlier with a different computer-aided proof in [HoSh11]. Reference [Schw16] also contains a computer-assisted proof that a square pyramid with s-dependent height is the unique (up to rotation) optimizer on S 2 when ‫ש‬ < s < 15 + 25/512.…”
Section: Discussionmentioning
confidence: 99%
“…So far, using elementary arguments, the regular triangular bi-pyramidal configuration was rigorously shown in [DLT02] to be the unique (up to rotation) optimizer on S 2 of the logarithmic energy (s = 0). A rigorous, computer-assisted proof of the optimality on S 2 of the regular triangular bi-pyramidal configuration if s ∈ (−2, 0) or s ∈ (0, ‫)ש‬ was achieved only recently [Schw16], where it is also proved that the regular triangular bi-pyramidal configuration is not an optimizer on S 2 when s > ‫.ש‬ That the same configuration maximizes the sum of distances on S 2 and therefore minimizes the Riesz −1-energy on S 2 was established earlier with a different computer-aided proof in [HoSh11]. Reference [Schw16] also contains a computer-assisted proof that a square pyramid with s-dependent height is the unique (up to rotation) optimizer on S 2 when ‫ש‬ < s < 15 + 25/512.…”
Section: Discussionmentioning
confidence: 99%
“…In general, the five point problem is a difficult problem to analyse rigorously. Recently, the papers [179] (for the Coulomb case s = 1 and for s = 2) and [131] (for sum of distances, s = −1) provided computer-assisted proofs that the triangular bi-pyramid is optimal, whereas in the logarithmic case a conventional proof was given in [86]. In [194] a bi-quadratic energy functional is considered.…”
Section: The Distribution Of Minimal Logarithmic and Riesz Energy Pointsmentioning
confidence: 99%
“…Dragnev, Legg, and Townsend [2] give a solution of the problem for f (r) = − log r known as Whyte's problem. Hou and Shao [3] give a rigorous computeraided solution for f (r) = −r, for which the problem is well-known in discrete geometry. Schwartz [4] gives a rigorous computer-aided solution of Thomson's problem.…”
Section: Introductionmentioning
confidence: 99%
“…Schwartz [4] gives a rigorous computer-aided solution of Thomson's problem. The results of [3] and [4] involve massive calculations that require a computer. In all these three results, a unique minimizer is the so-called triangular bipyramid (TBP) that consists of two antipodal points, say the North and South poles, and three points on the equator forming an equilateral triangle.…”
Section: Introductionmentioning
confidence: 99%