求解具有椭圆函数系数的高阶线性微分方程

Reinhold Burger
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引用次数: 0

摘要

考虑系数为椭圆函数的线性齐次常微分方程的闭解问题。特别是,假设输入系数表示为C(p,p')的元素,其中C是复数域,p (x)和p' (x)分别是weerstrass p函数及其一阶导数。我们寻求的特定闭形式解y(x)是C(p,p')上的超指数解,即解y(x)使得y' (x)/y(x)在C(p,p')内。这样的解对应于相关线性微分算子的一阶右因子,并且类似于C(x)上的超指数解,在更著名的情况下,ode的系数在C(x)中。先前的论文[4]给出了二阶方程的一种算法。本文提出的算法适用于任意阶的方程,并将找到所有可能存在的超指数解。它依赖于确定这些一阶因子的结构来构造解的分析,然后可以通过求解多元多项式方程组来完全确定。该算法对于具有少量奇点和隐藏极点的解效果良好,但随着奇点数量的增加,速度会变慢。
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Solving higher order linear differential equations having elliptic function coefficients
We consider the problem of finding closed form solutions of a linear homogeneous ordinary differential equation having coefficients which are elliptic functions. In particular, the input coefficients are assumed to be represented as elements of C(p,p'), where C is the complex number field, and p(x) and p' (x) are the Weierstrass p function and its first derivative, respectively. The specific closed form solutions y(x) which we seek are hyperexponential over C(p,p'), i.e., solutions y(x) such that y' (x)/y(x) is in C(p,p'). Such solutions correspond to first order right-hand factors of the associated linear differential operator, and are analogous to hyperexponential solutions over C(x), in the more well-known case where the coefficients of the ode are in C(x). A previous paper [4] gave an algorithm for equations of second order. The algorithm presented here works for equations of arbitrary order, and will find all such hyperexponential solutions that may exist. It relies on determining the structure of such first order factors to construct an ansatz of a solution, which can then be completely determined by solving a system of multivariate polynomial equations. The algorithm works well for solutions having few singularities and hidden poles, but can slow as the number of such points increases.
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