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  • 标题:Finite choice, convex choice and finding roots
  • 本地全文:下载
  • 作者:Stéphane Le Roux ; Arno Pauly
  • 期刊名称:Logical Methods in Computer Science
  • 印刷版ISSN:1860-5974
  • 电子版ISSN:1860-5974
  • 出版年度:2015
  • 卷号:11
  • 期号:4
  • 页码:1
  • DOI:10.2168/LMCS-11(4:6)2015
  • 出版社:Technical University of Braunschweig
  • 摘要:We investigate choice principles in the Weihrauch lattice for finite sets on the one hand, and convex sets on the other hand. Increasing cardinality and increasing dimension both correspond to increasing Weihrauch degrees. Moreover, we demonstrate that the dimension of convex sets can be characterized by the cardinality of finite sets encodable into them. Precisely, choice from an n 1 point set is reducible to choice from a convex set of dimension n, but not reducible to choice from a convex set of dimension n-1. Furthermore we consider searching for zeros of continuous functions. We provide an algorithm producing 3n real numbers containing all zeros of a continuous function with up to n local minima. This demonstrates that having finitely many zeros is a strictly weaker condition than having finitely many local extrema. We can prove 3n to be optimal.
  • 其他关键词:Weihrauch reducibility; closed choice; reverse mathematics.
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