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Solving linear differential equations in terms of hypergeometric functions by 2-descent.

机译:通过2下降来求解具有超几何函数的线性微分方程。

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摘要

Let L be a linear ordinary differential equation with coefficients in C (x). This thesis presents algorithms to solve L in closed form. The key part of this thesis is 2-descent method, which is used to reduce L to an equation that is easier to solve. The starting point is an irreducible L, and the goal of 2-descent is to decide if L is projectively equivalent to another equation L˜ that is defined over a subfield C (f) of C (x).;Although part of the mathematics for 2-descent has already been treated before, a complete implementation could not be given because it involved a step for which we do not have a complete implementation. Our key novelty is to give an approach that is fully implementable. We describe and implement the algorithm for order 2, and show by examples that the same also work for higher order. By doing 2-descent for L, the number of true singularities drops to at most n/2 + 2 (n is the number of true singularities of L). This provides us ways to solve L in closed form (e.g. in terms of hypergeometric functions).
机译:令L为系数为C(x)的线性常微分方程。本文提出了封闭形式的L求解算法。本文的关键部分是2-下降法,该方法用于将L简化为易于求解的方程。起始点是不可约L,而2下降的目的是确定L是否射影等效于在C(x)的子场C(f)上定义的另一个方程L〜。由于之前已经处理过两次下降,因此无法给出完整的实现,因为它涉及到我们没有完整实现的步骤。我们的关键新颖之处在于提供一种完全可实施的方法。我们描述并实现了2阶算法,并通过示例说明了该算法也适用于更高阶。通过对L进行2下降,真奇异点的数量最多降至n / 2 + 2(n是L的真奇异点的数量)。这为我们提供了解决闭合形式的L的方法(例如,根据超几何函数)。

著录项

  • 作者

    Fang, Tingting.;

  • 作者单位

    The Florida State University.;

  • 授予单位 The Florida State University.;
  • 学科 Mathematics.;Theoretical Mathematics.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 82 p.
  • 总页数 82
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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