An Algorithmic Implementation of Runge’s Method for Cubic Diophantine Equations

N. N. Osipov, Bella V. Gulnova, Николай Николаевич Осипов, Белла В. Гульнова
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引用次数: 4

Abstract

In modern computer algebra systems (such as Mathematica, Maple, SageMath etc.) algorithms for solving in integers are implemented only for a small number of types of diophantine equations. Usually it means that: 1) linear equations and their systems (with any number of unknowns); 2) quadratic equations in two unknowns; 3) cubic Thue equations in two unknowns. At the same time, there is rather wide class of diophantine equations in two unknowns, for which exists effective solving method (that gives explicit estimates for possible solutions), socalled Runge’s method [10]. Exposition of the standard version Runge’s method can be found in well known books [4] and [9]). However, practical realization of Runge’s method is absent in most computer algebra systems, with the exception of very particular cases (see for example [8]). Too large estimates for the solutions are one of the objective reasons for this. Although they are of polynomial type (see [3, 7, 11]), due to the large exponents occurs useless for computer implementation. The original version of Runge’s method leads to such estimates. It uses the Puiseux expansions at x → ∞ of (the branches of) algebraic function y = Ψ(x), determined by the given diophantine equation
三次丢番图方程Runge法的算法实现
在现代计算机代数系统(如Mathematica, Maple, SageMath等)中,用于求解整数的算法仅用于少数类型的丢芬图方程。通常它意味着:1)线性方程及其系统(具有任意数量的未知数);2)双未知数二次方程;3)两个未知数的三次Thue方程。同时,有相当广泛的一类双未知数丢芬图方程,存在有效的求解方法(对可能解给出显式估计),即Runge方法[10]。对标准版龙格方法的阐述可以在著名的书籍[4]和[9]中找到。然而,除了非常特殊的情况(参见示例[8])外,大多数计算机代数系统中都没有Runge方法的实际实现。对解决方案的估计过高是造成这种情况的客观原因之一。虽然它们是多项式类型(参见[3,7,11]),但由于大指数对于计算机实现来说是无用的。Runge方法的原始版本导致了这样的估计。它使用了代数函数y = Ψ(x)的分支在x→∞处的Puiseux展开式,由给定的丢芬图方程决定
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