High-Order Lie Derivatives from Taylor Series in the ADTAYL Package
Nedialko S. Nedialkov, John D. Pryce

TL;DR
This paper introduces a fast numerical method for computing high-order Lie derivatives using Taylor series in MATLAB, significantly outperforming symbolic approaches in efficiency.
Contribution
The paper presents a novel numerical approach leveraging Taylor series to compute high-order Lie derivatives efficiently within the ADTAYL package.
Findings
Achieves orders of magnitude speedup over symbolic methods
Applicable to scalar, vector, and covector fields
Demonstrated on a gantry crane model
Abstract
High-order Lie derivatives are essential in nonlinear systems analysis. If done symbolically, their evaluation becomes increasingly expensive as the order increases. We present a compact and efficient numerical approach for computing Lie derivatives of scalar, vector, and covector fields using the MATLAB ADTAYL package. The method exploits a fact noted by R\"obenack: that these derivatives coincide, up to factorial scaling, with the Taylor coefficients of expressions built from a Taylor expansion about a trajectory point and, when required, the associated variational matrix. Computational results for a gantry crane model demonstrate orders of magnitude speedups over symbolic evaluation using the MATLAB Symbolic Math Toolbox.
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Taxonomy
TopicsModel Reduction and Neural Networks · Numerical methods for differential equations · Chaos control and synchronization
