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Structure preserving parallel algorithms for solving the Bethe-Salpeter eigenvalue problem

机译:解决Bethe-Salpeter特征值问题的保留结构并行算法

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The Bethe-Salpeter eigenvalue problem is a dense structured eigenvalue problem arising from discretized Bethe-Salpeter equation in the context of computing exciton energies and states. A computational challenge is that at least half of the eigenvalues and the associated eigenvectors are desired in practice. We establish the equivalence between Bethe-Salpeter eigenvalue problems and real Hamiltonian eigenvalue problems. Based on theoretical analysis, structure preserving algorithms for a class of Bethe-Salpeter eigenvalue problems are proposed. We also show that for this class of problems all eigenvalues obtained from the Tamm-Dancoff approximation are overestimated. In order to solve large scale problems of practical interest, we discuss parallel implementations of our algorithms targeting distributed memory systems. Several numerical examples are presented to demonstrate the efficiency and accuracy of our algorithms. (C) 2015 Elsevier Inc. All rights reserved.
机译:Bethe-Salpeter特征值问题是在计算激子能量和态的情况下,由离散化的Bethe-Salpeter方程引起的稠密结构化特征值问题。计算上的挑战是实际上需要至少一半的特征值和相关的特征向量。我们建立了Bethe-Salpeter特征值问题和实际哈密顿特征值问题之间的等价关系。在理论分析的基础上,提出了一类Bethe-Salpeter特征值问题的结构保持算法。我们还表明,对于此类问题,从Tamm-Dancoff逼近获得的所有特征值都被高估了。为了解决实际感兴趣的大规模问题,我们讨论了针对分布式存储系统的算法的并行实现。给出了几个数值示例,以证明我们算法的效率和准确性。 (C)2015 Elsevier Inc.保留所有权利。

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