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Symmetry, Integrability and Geometry: Methods and Applications, 2007, Volume 3, 103, 7 pp.
DOI: https://doi.org/10.3842/SIGMA.2007.103
(Mi sigma229)
 

This article is cited in 19 scientific papers (total in 19 papers)

Geometric Linearization of Ordinary Differential Equations

Asghar Qadir

Centre for Advanced Mathematics and Physics, National University of Sciences and Technology, Campus of College of Electrical and Mechanical Engineering, Peshawar Road, Rawalpindi, Pakistan
References:
Abstract: The linearizability of differential equations was first considered by Lie for scalar second order semi-linear ordinary differential equations. Since then there has been considerable work done on the algebraic classification of linearizable equations and even on systems of equations. However, little has been done in the way of providing explicit criteria to determine their linearizability. Using the connection between isometries and symmetries of the system of geodesic equations criteria were established for second order quadratically and cubically semi-linear equations and for systems of equations. The connection was proved for maximally symmetric spaces and a conjecture was put forward for other cases. Here the criteria are briefly reviewed and the conjecture is proved.
Keywords: differential equations; geodesics; geometry; linearizability; linearization.
Received: August 13, 2007; in final form October 19, 2007; Published online November 6, 2007
Bibliographic databases:
Document Type: Article
MSC: 34A34; 34A26
Language: English
Citation: Asghar Qadir, “Geometric Linearization of Ordinary Differential Equations”, SIGMA, 3 (2007), 103, 7 pp.
Citation in format AMSBIB
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\by Asghar Qadir
\paper Geometric Linearization of Ordinary Differential Equations
\jour SIGMA
\yr 2007
\vol 3
\papernumber 103
\totalpages 7
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  • This publication is cited in the following 19 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Symmetry, Integrability and Geometry: Methods and Applications
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