arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.12260nlin.PSmath.DS
收藏

线性与非线性 Fermi-Pasta-Ulam-Tsingou 格中的色散分形化

Dispersive Fractalization in Linear and Nonlinear Fermi-Pasta-Ulam-Tsingou Lattices

Peter J. Olver, Ari Stern

AI总结:

本文解析与数值研究了周期性线性和非线性 FPUT 系统的色散分形化与量子化现象,发现线性模型在特定时间呈现分形与量子化解轮廓,非线性系统在弱非线性下类似但随非线性增强而消失。

摘要:

我们从解析和数值两方面研究了周期性线性和非线性 Fermi-Pasta-Ulam-Tsingou (FPUT) 系统解的色散分形化和量子化。在周期边界条件和不连续初始条件(例如阶跃函数)下,FPUT 的线性和非线性连续模型在无理数时间(由系数和区间长度决定)表现出分形解轮廓,在有理数时间表现出量子化轮廓(分段常数或其微扰)。我们在这些模型有效的时间 $t$,即 $t = \mathrm{O}(h^{-2})$(其中 $h$ 与质量间距成正比,或等价于质量数倒数),在线性化 FPUT 链中观察到类似效应。对于非线性周期 FPUT 系统,数值结果表明在弱非线性下存在类似行为,但随着非线性力增大该现象消失。然而,这些现象在极长时间区间内显现,随着质量数增加对数值积分构成严峻挑战。即使使用本文的高阶分裂方法,数值研究也仅限于质量数较少的非线性 FPUT 链,不足以明确解决该问题。

英文摘要:

We investigate, both analytically and numerically, dispersive fractalization and quantization of solutions to periodic linear and nonlinear Fermi-Pasta-Ulam-Tsingou systems. When subject to periodic boundary conditions and discontinuous initial conditions, e.g., a step function, both the linearized and nonlinear continuum models for FPUT exhibit fractal solution profiles at irrational times (as determined by the coefficients and the length of the interval) and quantized profiles (piecewise constant or perturbations thereof) at rational times. We observe a similar effect in the linearized FPUT chain at times $t$ where these models have validity, namely $t = \mathrm{O}(h^{-2})$, where $h$ is proportional to the intermass spacing or, equivalently, the reciprocal of the number of masses. For nonlinear periodic FPUT systems, our numerical results suggest a somewhat similar behavior in the presence of small nonlinearities, which disappears as the nonlinear force increases in magnitude. However, these phenomena are manifested on very long time intervals, posing a severe challenge for numerical integration as the number of masses increases. Even with the high-order splitting methods used here, our numerical investigations are limited to nonlinear FPUT chains with a smaller number of masses than would be needed to resolve this question unambiguously.

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。

↑