Algorithmic Verification of Linearizability for Ordinary Differential Equations

被引:6
作者
Lyakhov, Dmitry A. [1 ]
Gerdt, Vladimir P. [2 ,3 ]
Michels, Dominik L. [1 ]
机构
[1] King Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia
[2] Joint Inst Nucl Res, Dubna, Moscow Region, Russia
[3] Peoples Friendship Univ, Moscow, Moscow Region, Russia
来源
PROCEEDINGS OF THE 2017 ACM INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND ALGEBRAIC COMPUTATION (ISSAC'17) | 2017年
基金
俄罗斯基础研究基金会;
关键词
Algorithmic linearization test; determining equations; differential Thomas decomposition; Lie symmetry algebra; ordinary differential equations; point transformation; power series solutions; MAPLE PACKAGE; DECOMPOSITION; SYSTEMS;
D O I
10.1145/3087604.3087626
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
For a nonlinear ordinary differential equation solved with respect to the highest order derivative and rational in the other derivatives and in the independent variable, we devise two algorithms to check if the equation can be reduced to a linear one by a point transformation of the dependent and independent variables. The first algorithm is based on a construction of the Lie point symmetry algebra and on the computation of its derived algebra. The second algorithm exploits the differential Thomas decomposition and allows not only to test the linearizability, but also to generate a system of nonlinear partial differential equations that determines the point transformation and the coefficients of the linearized equation. The implementation of both algorithms is discussed and their application is illustrated using several examples.
引用
收藏
页码:285 / 292
页数:8
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