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Practical Guide to the Symbolic Computation of Symmetries of Differential Equations

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arxiv 1409.8364 v1 pith:SG3DNURF submitted 2014-09-30 math-ph math.APmath.MP

classification math-phmath.APmath.MP
keywords differentialequationssolutionssymmetriesalgebracomputerfindingalgorithm
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Symmetries play an critical role in finding analytic solutions to nonlinear differential equations. A symmetry is a mapping of the solutions of the differential equation into the solutions and have been studied extensively for over a century. We present a computational approach to finding symmetries and computer algebra programs to compute the usually very large system of determining partial differential equations. We also provide computer algebra algorithm that at least automatically solves most of these equations and in simple cases provides a complete solution. The algorithms are programmed in maxima/wxmaxima that is freely available.

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  1. LieSolver: PDE-Constrained Learning for IBVPs via Lie Symmetries

    cs.LG 2025-10 conditional novelty 6.0 of 10

    LieSolver fits initial/boundary data with linear combinations of Lie-symmetry-generated base solutions, enforcing linear homogeneous PDEs exactly by construction.

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