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The high-order Euler method and the spin-orbit model A fast algorithm for solving differential equations with small, smooth nonlinearity

机译:高阶Euler方法和自旋轨道模型一种快速算法   用于求解具有小的,平滑的非线性的微分方程

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摘要

We present an algorithm for the rapid numerical integration of smooth,time-periodic differential equations with small nonlinearity, particularlysuited to problems with small dissipation. The emphasis is on speed withoutcompromising accuracy and we envisage applications in problems whereintegration over long time scales is required; for instance, orbit probabilityestimation via Monte Carlo simulation. We demonstrate the effectiveness of ouralgorithm by applying it to the spin-orbit problem, for which we have derivedanalytical results for comparison with those that we obtain numerically. Amongother tests, we carry out a careful comparison of our numerical results withthe analytically predicted set of periodic orbits that exists for givenparameters. Further tests concern the long-term behaviour of solutions movingtowards the quasi-periodic attractor, and capture probabilities for theperiodic attractors computed from the formula of Goldreich and Peale. Weimplement the algorithm in standard double precision arithmetic and show thatthis is adequate to obtain an excellent measure of agreement between analyticalpredictions and the proposed fast algorithm.
机译:我们提出了一种算法,用于快速求解具有小非线性的平滑时间周期微分方程的数值积分,尤其适用于耗散小的问题。重点是在不影响精度的情况下提高速度,我们设想需要长期集成的问题中的应用;例如,通过蒙特卡洛模拟进行的轨道概率估计。通过将其应用于自旋轨道问题,我们证明了算法的有效性,为此我们导出了分析结果,以便与通过数值方法获得的结果进行比较。在其他测试中,我们将数值结果与给定参数存在的经过分析预测的周期轨道集进行了仔细的比较。进一步的测试涉及解决方案向准周期吸引子移动的长期行为,并捕获根据Goldreich和Peale公式计算出的周期吸引子的概率。在标准双精度算法中对该算法进行了实现,结果表明该算法足以使分析预测与所提出的快速算法之间取得良好的一致性。

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