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Globally Optimizing Small Codes in Real Projective Spaces
SIAM Journal on Discrete Mathematics ( IF 0.9 ) Pub Date : 2021-02-18 , DOI: 10.1137/19m1307895
Dustin G. Mixon , Hans Parshall

SIAM Journal on Discrete Mathematics, Volume 35, Issue 1, Page 234-249, January 2021.
For $d\in\{5,6\}$, we classify arrangements of $d + 2$ points in ${RP}^{d-1}$ for which the minimum distance is as large as possible. To do so, we leverage ideas from matrix and convex analysis to determine the best possible codes that contain equiangular lines, and we introduce a notion of approximate Positivstellensatz certificates that promotes numerical approximations of Stengle's Positivstellensatz certificates to honest certificates.


中文翻译:

实射影空间中小码的全局优化

SIAM Journal on Discrete Mathematics,第 35 卷,第 1 期,第 234-249 页,2021 年 1 月。
对于 $d\in\{5,6\}$,我们将 $d + 2$ 点的排列分类为 ${RP}^ {d-1}$ 的最小距离尽可能大。为此,我们利用矩阵和凸分析的思想来确定包含等角线的最佳代码,并且我们引入了近似 Positivstellensatz 证书的概念,该概念将 Stengle 的 Positivstellensatz 证书的数值近似提升为诚实证书。
更新日期:2021-02-18
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