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Improved bounds for codes and secret sharing schemes from algebraic curves.

机译:来自代数曲线的代码和秘密共享方案的改进边界。

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摘要

The main goal of this work is to improve algebraic geometric/number theoretic constructions of errorcorrecting codes and secret sharing schemes. For both objects we define parameters that indicate their effectiveness in applications. We explore infeasibility bounds, showing that objects with relatively high parameters cannot exist. The best upper bounds in the theory of error-correcting codes arise from using linear programming on enumerator vectors. We show that similar linear programming techniques are applicable for obtaining infeasibility results for secret sharing schemes.;In 1975, V. Goppa established a remarkable connection: function fields of algebraic curves can be used to construct a large class of error-correcting codes. Such codes are called algebraic geometric (AG) codes. AG codes from divisors supported in only one point on the Hermitian curve produce long codes with excellent parameters. Feng and Rao [19] introduced a modified construction that improves the parameters while still using one-point divisors. Their construction is referred to as improved codes. A separate improvement of the parameters was introduced by Matthews [36]; it uses the classical construction but with two-point divisors. We combine those two approaches to produce an infinite family of codes improving on all previously known families of Hermitian codes.;The main topic of the thesis is the improvement of lower bounds for the parameters of error-correcting codes and secret sharing schemes using the geometry of divisors on curves. We recall some of the various methods that have been used to obtain improvements of the Goppa lower bound for the minimum distance of an algebraic geometric code. The most successful method is the order bound, which generalizes the Feng-Rao bound. We provide a significant extension of the bound that improves the order bounds by Beelen and by Duursma and Park. Finally, we address ways to efficiently compute the bounds. *Please refer to dissertation for footnotes.
机译:这项工作的主要目的是改善纠错码和秘密共享方案的代数几何/数论构造。对于这两个对象,我们定义了指示其在应用程序中有效性的参数。我们探索了不可行边界,表明参数相对较高的对象不存在。纠错码理论中的最佳上限是通过对枚举器向量使用线性编程来实现的。我们证明了类似的线性规划技术适用于获得秘密共享方案的不可行结果。1975年,V。Goppa建立了显着的联系:代数曲线的函数域可用于构造一类大的纠错码。这种代码称为代数几何(AG)代码。除数仅在Hermitian曲线上的一个点上得到的除数的AG码产生具有优良参数的长码。 Feng和Rao [19]引入了一种改进的结构,该结构在仍使用单点除数的同时改善了参数。它们的构造称为改进代码。马修斯[36]介绍了对参数的单独改进。它使用经典构造,但具有两点除数。我们结合这两种方法来产生无限的代码家族,以改进所有先前已知的Hermitian代码家族。论文的主要主题是使用几何结构改进纠错代码和秘密共享方案的参数的下界曲线上的除数。我们回顾了一些用于代数几何代码的最小距离的Goppa下界的改进方法。最成功的方法是阶界,它推广了冯-饶界。我们提供了边界的显着扩展,从而改善了Beelen以及Duursma和Park的有序边界。最后,我们讨论有效计算边界的方法。 *请参阅论文的脚注。

著录项

  • 作者

    Kirov, Radoslav Mihailov.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Applied Mathematics.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 79 p.
  • 总页数 79
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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