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Stability of a Chebychev pseudospectral solution of the wave equation with absorbing boundaries

机译:具有吸收边界的波动方程的Chebychev伪谱解的稳定性

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摘要

Stability of the pseudospectral Chebychev collocation solution of the two-dimensional acoustic wave problem with absorbing boundary conditions is investigated. The continuous one-dimensional problem with one absorbing boundary and one Dirichlet boundary has previously been shown to be far from normal. Consequently, the spectrum of that problem says little about the stability behavior of the solution. Our analysis proves that the discrete formulation with Dirichlet boundaries at all boundaries is near normal and hence the formulation with absorbing boundaries at all boundaries, either for one-dimensional or two-dimensional wave propagation, is not far from normal. The near-normality follows from the near-normality of the second-order derivative pseudospectral differential operator. Further, the nearness to normality is independent of the boundary discretization. Stability limits on the timestep are, however, dependent on the boundary operator, with an explicit Euler method having the most restrictive condition. The Crank-Nicolson implementation has a stability limit the same as the Dirichlet formulation. Furthermore, in this case the restriction scales by in moving from one dimension to two dimensions, exactly as in the central finite difference approximation. Numerical results confirm the predicted values on allowable timesteps obtained from a spectral analysis, for both Chebychev- and modified-Chebychev-implementations. We conclude that the spectrum of the evolution operator is informative for predicting the behavior of the numerical solution.
机译:研究了具有吸收边界条件的二维声波问题的伪谱Chebychev搭配解的稳定性。先前已证明具有一个吸收边界和一个Dirichlet边界的连续一维问题与法线相距甚远。因此,该问题的范围很少说明解决方案的稳定性。我们的分析证明,在所有边界处都具有Dirichlet边界的离散公式接近法线,因此对于一维或二维波传播,在所有边界处都具有吸收边界的公式与法线相距不远。接近正态性源自二阶导数伪谱微分算子的接近正态性。此外,接近正态性与边界离散无关。但是,时间步长上的稳定性限制取决于边界算符,其中明确的Euler方法具有最严格的条件。 Crank-Nicolson实现的稳定性极限与Dirichlet公式相同。此外,在这种情况下,限制条件从一维向二维移动,这与中心有限差分近似完全相同。数值结果证实了对于Chebychev和改进的Chebychev实现,从频谱分析获得的允许时间步长上的预测值。我们得出的结论是,演化算子的​​频谱对于预测数值解的行为是有益的。

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