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Fast second-order implicit difference schemes for time distributed-order and Riesz space fractional diffusion-wave equations

机译:时间分布式顺序的快速二阶隐式差分方案和RIESZ空间分数扩散波方程

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摘要

In this paper, fast numerical methods are established to solve a class of time distributed-order and Riesz space fractional diffusion-wave equations. We derive new difference schemes by a weighted and shifted Grunwald formula in time and a fractional centered difference formula in space. The unconditional stability and second-order convergence in time, space and distributed-order of the difference schemes are analyzed. In the one-dimensional case, the Gohberg-Semencul formula utilizing a preconditioned Krylov subspace method is developed to solve the Toeplitz linear system derived from the proposed difference scheme. In the two-dimensional case, we also design a global preconditioned conjugate gradient method with a truncated preconditioner to solve the resulting Sylvester matrix equations. We prove that the spectrums of the preconditioned matrices in both cases are clustered around 1, such that the proposed numerical methods with preconditioners converge very quickly. Some numerical experiments are carried out to demonstrate the effectiveness of the proposed difference schemes and show that the performances of the proposed fast solution algorithms are better than other testing methods.
机译:在本文中,建立了快速数值方法来解决一类时间分布式顺序和RIESZ空间分数扩散波方程。我们通过加权和移位的Grunwald公式衍生新的差异方案,以及空间中的分数居中差分公式。分析了不同方案的无条件稳定性和二阶收敛性差分方案的空间和分布式顺序。在一维壳体中,开发了利用预处理Krylov子空间方法的Gohberg-emencul公式,以解决从所提出的差分方案衍生的Toeplitz线性系统。在二维情况下,我们还设计了一种全球预处理的共轭梯度方法,具有截断的预处理器来解决所产生的Sylvester矩阵方程。我们证明两种情况下的预处理矩阵的频谱围绕1聚集,使得具有预处理器的提出的数值方法非常快速地收敛。进行了一些数值实验以证明所提出的差异方案的有效性,并表明所提出的快速解决方案算法的性能优于其他测试方法。

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