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arXiv math/0305212math.DScs.NAmath.NAnlin.CDphysics.flu-dyn

关于计算洛伦兹奇异吸引子的新发现:混沌还是数值误差?

What is new on computed Lorenz strange attractors: chaos or numerical errors?

Lun-Shin Yao

AI总结:

本文通过洛伦兹方程实例,证明数值混沌解依赖于时间步长,并揭示虚拟分界线导致数值误差爆炸性放大,从而质疑计算混沌解的有效性。

摘要:

有限时间步长的离散数值方法是求解涉及非线性微分方程的初值问题的实用技术。由于目前尚无解析混沌解,这些方法在研究混沌方面似乎特别有用。以著名的洛伦兹方程为例,本文证明数值计算结果及其相关统计特性依赖于时间步长。这种行为有两个原因。首先,混沌微分方程是不稳定的,因此任何小误差都会在不稳定流形附近指数放大。更严重且鲜为人知的原因是,与微分方程相关的奇点的稳定和不稳定流形可以形成虚拟分界线。虚拟分界线的存在使得计算轨迹可能由于离散数值方法的有限时间步长而实际穿过它。这种行为违反了微分方程的唯一性理论,并爆炸性地放大了数值误差。这些原因意味着,即使计算结果有界,在将其接受为微分方程真实解的有用数值近似之前,应建立其对时间步长的独立性。然而,由于数值误差的指数和爆炸性放大,尚未发现与积分时间步长无关的微分方程计算混沌解。因此,关于混沌微分方程计算非周期解的报道仅仅是截断误差不稳定放大的结果,而不是相关微分方程的近似解。

英文摘要:

Discrete numerical methods with finite time-steps represent a practical technique to solve initial-value problems involving nonlinear differential equations. These methods seem particularly useful to the study of chaos since no analytical chaotic solution is currently available. Using the well-known Lorenz equations as an example, it is demonstrated that numerically computed results and their associated statistical properties are time-step dependent. There are two reasons for this behavior. First, chaotic differential equations are unstable so that any small error is amplified exponentially near an unstable manifold. The more serious and lesser-known reason is that stable and unstable manifolds of singular points associated with differential equations can form virtual separatrices. The existence of a virtual separatrix presents the possibility of a computed trajectory actually jumping through it due to the finite time-steps of discrete numerical methods. Such behavior violates the uniqueness theory of differential equations and amplifies the numerical errors explosively. These reasons imply that, even if computed results are bounded, their independence on time-step should be established before accepting them as useful numerical approximations to the true solution of the differential equations. However, due to these exponential and explosive amplifications of numerical errors, no computed chaotic solutions of differential equations independent of integration-time step have been found. Thus, reports of computed non-periodic solutions of chaotic differential equations are simply consequences of unstably amplified truncation errors, and are not approximate solutions of the associated differential equations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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