Numerical Methods That Preserve a Lyapunov Function for Ordinary Differential Equations
نویسندگان
چکیده
The paper studies numerical methods that preserve a Lyapunov function of dynamical system, i.e., approximations whose energy decreases, just like in the original differential equation. With this aim, discrete gradient method is implemented for integration system ordinary equations. In principle, procedure yields first-order methods, but analysis paves way design higher-order methods. As case point, proposed applied to Duffing equation without external forcing, considering that, case, preserving more important than accuracy particular trajectories. Results are validated by means experiments, where compared standard Runge–Kutta predicted theory, function, whereas conventional fail do so, since either periodic solutions appear or does not decrease. Moreover, outperforms schemes when these terms computational cost; thus, promising.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2022
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math11010071