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A reciprocal preconditioner for structured matrices arising from elliptic problems with jumping coefficients

机译:互为条件的预处理器,用于由具有跳跃系数的椭圆问题引起的结构化矩阵

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摘要

We present a new explicit preconditioner for a class of structured matrices Γ(a) defined by a function a. These matrices may arise from elliptic problems by a standard discretization scheme admitting jumps in the diffusion coefficient. When the grid is fixed, the matrix is determined by the diffusion coefficient a. Our preconditioner P is of the form P=Γ- ~1(1)Γ(1/a)Γ- ~1(1) and can be considered as an approximation to the inverse matrix to Γ(a). We prove that P and Γ- ~1(a) are spectrally equivalent. However, the most interesting observation is that Γ(a)P has a cluster at unity. In the one-dimensional case this matrix is found to be equal to the identity plus a matrix of rank one. In more dimensions, a rigorous proof is given in the two-dimensional stratified case. Moreover, in a stratified case with M constant values for the coefficient a, a hypothesis is proposed that a wider set of M+1 points including unity is a proper cluster. In such cases the number of iterations does not depend dramatically on jumps of the diffusion coefficient. In more general cases, fast convergence is still demonstrated by many numerical experiments.
机译:我们为函数a定义的一类结构化矩阵Γ(a)提出了一种新的显式前置条件。这些矩阵可能是由椭圆问题引起的,这是由于标准离散化方案允许扩散系数出现跳跃。当网格固定时,矩阵由扩散系数a确定。我们的预处理器P的形式为P =Γ-〜1(1)Γ(1 / a)Γ-〜1(1),可以看作是Γ(a)逆矩阵的近似值。我们证明P和Γ-〜1(a)在光谱上是等效的。但是,最有趣的观察是Γ(a)P具有一个统一的簇。在一维情况下,发现该矩阵等于恒等式加一阶矩阵。在更大的维度上,在二维分层情况下给出了严格的证明。此外,在分层的情况下,对于系数a具有M个恒定值,提出了一个假设,即包含单位的M + 1个点的更广泛的集合是一个适当的簇。在这种情况下,迭代次数与扩散系数的跳跃无关。在更一般的情况下,许多数值实验仍证明了快速收敛。

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