Numerical Method in Classical Dynamics
Charles Schwartz

TL;DR
This paper introduces a set of algorithms for efficiently computing the time evolution of classical dynamical systems, starting from reversible approximations and extending to higher accuracy in multiple dimensions and particles.
Contribution
It presents a novel numerical method that improves accuracy and efficiency for simulating classical dynamics, scalable to complex multi-particle systems.
Findings
Effective algorithms for classical system evolution
Extension from single particle to many particles
Bootstrap approach for higher order accuracy
Abstract
A set of algorithms is presented for efficient numerical calculation of the time evolution of classical dynamical systems. Starting with a first approximation for solving the differential equations that has a "reversible" character, we show how to bootstrap easily to higher order accuracy.The method, first shown for a single particle in one dimension, is then neatly extended to many dimensions and many particles.
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Taxonomy
TopicsComputational Physics and Python Applications · Advanced Thermodynamics and Statistical Mechanics · Quantum chaos and dynamical systems
