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Implementation and testing of Lanczos-based algorithms for Random-Phase Approximation eigenproblems

机译:基于Lanczos的随机相位近似特征问题算法的实现和测试

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The treatment of the Random-Phase Approximation Hamiltonians, encountered in different frameworks, like time-dependent density functional theory or Bethe-Salpeter equation, is complicated by their non-Hermicity. Compared to their Hermitian Hamiltonian counterparts, computational methods for the treatment of non-Hermitian Hamiltonians are often less efficient and less stable, sometimes leading to the breakdown of the method. Recently [Grüning et al. Nano Lett. 8 (2009) 2820], we have identified that such Hamiltonians are usually pseudo-Hermitian. Exploiting this property, we have implemented an algorithm of the Lanczos type for Random-Phase Approximation Hamiltonians that benefits from the same stability and computational load as its Hermitian counterpart, and applied it to the study of the optical response of carbon nanotubes. We present here the related theoretical grounds and technical details, and study the performance of the algorithm for the calculation of the optical absorption of a molecule within the Bethe-Salpeter equation framework.
机译:在不同的框架中遇到的随机相近似哈密顿量的处理,例如随时间变化的密度泛函理论或Bethe-Salpeter方程,由于它们的非赫耳密性而变得复杂。与他们的埃尔米特·哈密顿量相比,用于计算非埃尔米特·哈密顿量的计算方法通常效率较低,稳定性较差,有时会导致该方法的崩溃。最近[Grüning等。纳米莱特。 8(2009)2820],我们已经识别出这种哈密顿量通常是伪厄密量。利用此特性,我们实现了Lanczos类型的随机相近似哈密顿量算法,该算法得益于与Hermitian对应物相同的稳定性和计算负荷,并将其应用于碳纳米管的光学响应研究。我们在这里介绍了相关的理论基础和技术细节,并研究了在Bethe-Salpeter方程框架内计算分子的光吸收的算法的性能。

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