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A pseudo-spectral method that uses an overlapping multidomain technique for the numerical solution of sine-Gordon equation in one and two spatial dimensions

机译:使用重叠多域技术对一维和二维空间中的Sine-Gordon方程进行数值求解的伪谱方法

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摘要

In this article,we study an explicit scheme for the solution of sine-Gordon equationwhen the space discretization is carried out by an overlapping multidomain pseudo-spectral technique. By using differentiation matrices, the equation is reduced to a nonlinear system of ordinary differential equations in time that can be discretized with the explicit fourth-order Runge–Kutta method. To achieve approximation with high accuracy in large domains, the number of space grid points must be large enough. This yields very large and full matrices in the pseudo-spectral method that causes large memory requirements. The domain decomposition approach provides sparsity in the matrices obtained after the discretization, and this property reduces storage for large matrices and provides economical ways of performing matrix–vector multiplications. Therefore, we propose a multidomain pseudo-spectral method for the numerical simulation of the sine- Gordon equation in large domains. Test examples are given to demonstrate the accuracy and capability of the proposed method. Numerical experiments showthat the multidomain scheme has an excellent long-time numerical behavior for the sine-Gordon equation in one and two dimensions.
机译:在本文中,我们研究了一种通过重叠多域伪谱技术进行空间离散化时正弦-戈登方程解的显式方案。通过使用微分矩阵,可以将该方程及时地简化为一个常微分方程的非线性系统,该系统可以通过显式四阶Runge-Kutta方法离散化。为了在大范围内以高精度实现逼近,空间网格点的数量必须足够大。这会在伪光谱方法中产生非常大且完整的矩阵,从而导致大量内存需求。域分解方法为离散化后获得的矩阵提供了稀疏性,并且此属性减少了大型矩阵的存储,并提供了执行矩阵-矢量乘法的经济方法。因此,我们提出了一种多域伪谱方法,用于大域正弦-戈登方程的数值模拟。通过测试实例证明了该方法的准确性和能力。数值实验表明,多域格式对一维和二维正弦-戈登方程具有良好的长期数值性能。

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