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v2009.01.01 - Convex Optimization

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5.4. EDM DEFINITION 363<br />

spheres:<br />

Then the kissing number<br />

minimize − tr W V T<br />

D∈S N<br />

N DV N<br />

subject to D 1j = 1, j = 2... N<br />

(834)<br />

D ij ≥ 1, 2 ≤ i < j = 3... N<br />

D ∈ EDM N<br />

K = N max − 1 (835)<br />

is found from the maximal number of spheres N that solve this semidefinite<br />

program in a given affine dimension r . Matrix W can be interpreted as the<br />

direction of search through the positive semidefinite cone S N−1<br />

+ for a rank-r<br />

optimal solution −VN TD⋆ V N ; it is constant, in this program, determined by<br />

a method disclosed in4.4.1. In two dimensions,<br />

⎡<br />

⎤<br />

4 1 2 −1 −1 1<br />

1 4 −1 −1 2 1<br />

W =<br />

2 −1 4 1 1 −1<br />

1<br />

⎢ −1 −1 1 4 1 2<br />

(836)<br />

⎥6<br />

⎣ −1 2 1 1 4 −1 ⎦<br />

1 1 −1 2 −1 4<br />

In three dimensions,<br />

⎡<br />

⎤<br />

9 1 −2 −1 3 −1 −1 1 2 1 −2 1<br />

1 9 3 −1 −1 1 1 −2 1 2 −1 −1<br />

−2 3 9 1 2 −1 −1 2 −1 −1 1 2<br />

−1 −1 1 9 1 −1 1 −1 3 2 −1 1<br />

3 −1 2 1 9 1 1 −1 −1 −1 1 −1<br />

W =<br />

−1 1 −1 −1 1 9 2 −1 2 −1 2 3<br />

1<br />

−1 1 −1 1 1 2 9 3 −1 1 −2 −1<br />

12<br />

1 −2 2 −1 −1 −1 3 9 2 −1 1 1<br />

2 1 −1 3 −1 2 −1 2 9 −1 1 −1<br />

⎢ 1 2 −1 2 −1 −1 1 −1 −1 9 3 1<br />

⎥<br />

⎣ −2 −1 1 −1 1 2 −2 1 1 3 9 −1 ⎦<br />

1 −1 2 1 −1 3 −1 1 −1 1 −1 9<br />

(837)<br />

A four-dimensional solution has rational direction matrix as well. Here is an<br />

optimal point list 5.11 in Matlab output format:<br />

5.11 An optimal five-dimensional point list is known: The answer was known at least 175

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