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arXiv 0804.3623nlin.SI
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Benjamin-Ono方程时间周期解的计算

Computation of Time-Periodic Solutions of the Benjamin-Ono Equation

David M. Ambrose, Jon Wilkening

摘要:

本文提出了一种求解非线性偏微分方程非平凡时间周期解的谱精确数值方法。该方法是基于最小化的功能(的初始条件和周期)是积极的,除非解决方案是周期性的,在这种情况下,它是零。我们求解一个伴随偏微分方程来计算这个泛函相对于初始条件的梯度。我们包括额外的条款中的功能,以指定的自由参数,其中,在Benjamin-Ono方程的情况下,是平均值,空间相位,时间相位和实部的傅立叶模式之一,在$t=0$。我们使用我们的方法来研究非平凡的时间周期解的整体路径连接固定和行波的Benjamin-Ono方程。作为每个路径的起始猜测,我们通过求解封闭形式的无限维特征值问题来计算线性化问题的周期解。然后,我们使用我们的数值方法继续这些解决方案超出了线性理论的领域,直到另一个行波到达。通过数据拟合实验,确定了单峰定态解与双峰行波连接路径上解的解析形式。然后,我们推导出这些解决方案的精确公式,明确解决了系统的ODE的管理孤子的演化,使用的数值模拟所建议的anadministration。

英文摘要:

We present a spectrally accurate numerical method for finding non-trivial time-periodic solutions of non-linear partial differential equations. The method is based on minimizing a functional (of the initial condition and the period) that is positive unless the solution is periodic, in which case it is zero. We solve an adjoint PDE to compute the gradient of this functional with respect to the initial condition. We include additional terms in the functional to specify the free parameters, which, in the case of the Benjamin-Ono equation, are the mean, a spatial phase, a temporal phase and the real part of one of the Fourier modes at $t=0$. We use our method to study global paths of non-trivial time-periodic solutions connecting stationary and traveling waves of the Benjamin-Ono equation. As a starting guess for each path, we compute periodic solutions of the linearized problem by solving an infinite dimensional eigenvalue problem in closed form. We then use our numerical method to continue these solutions beyond the realm of linear theory until another traveling wave is reached. By experimentation with data fitting, we identify the analytical form of the solutions on the path connecting the one-hump stationary solution to the two-hump traveling wave. We then derive exact formulas for these solutions by explicitly solving the system of ODE's governing the evolution of solitons using the ansatz suggested by the numerical simulations.

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