Algorithmic verification of linearizability for ordinary differential equations

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. © 2017 Association for Computing Machinery.

Authors
Lyakhov D.A.1 , Gerdt V.P. 2 , Michels D.L.1
Publisher
Association for Computing Machinery
Language
English
Pages
285-292
Status
Published
Volume
Part F129312
Year
2017
Organizations
  • 1 King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
  • 2 Joint Institute for Nuclear Research and Peoples, Friendship University, Moscow Region, Russian Federation
Keywords
Algorithmic linearization test; Determining equations; Differential Thomas decomposition; Lie symmetry algebra; Ordinary differential equations; Point transformation; Power series solutions
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/5409/
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