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Self-consistent theory of lower bounds for eigenvalues

机译:特征值的下界的自我一致理论

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A rigorous practically applicable theory is presented for obtaining lower bounds to eigenvalues of Hermitian operators, whether the ground state or excited states. Algorithms are presented for computing "residual energies" whose magnitude is essential for the computation of the eigenvalues. Their practical application is possible due to the usage of the Lanczos method for creating a tridiagonal representation of the operator under study. The theory is self-consistent, in the sense that a lower bound for one state may be used to improve the lower bounds for others, and this is then used self-consistently until convergence. The theory is exemplified for a toy model of a quartic oscillator, where with only five states the relative error in the lower bound for the ground state is reduced to 6 . 10(-6), which is the same as the relative error of the least upper bound obtained with the same basis functions. The lower bound method presented in this paper suggests that lower bounds may become a staple of eigenvalue computations.
机译:无论是地面州还是兴奋状态,都会提出严格实际适用的理论,以获得隐士运营商的特征值。提出了用于计算其幅度对于计算特征值至关重要的“残余能量”的算法。由于使用Lanczos方法来创建在研究中的运营商的三角形表示,因此可以实现他们的实际应用。该理论是自我一致的,因此可以使用一个状态的下限来改善他人的下限,然后将其自始终使用直到收敛。该理论举例说明了四静脉振荡器的玩具模型,其中仅具有五个状态的地面界限的相对误差减小到6。图10(-6),其与用相同基函数获得的最小上限的相对误差相同。本文中提出的下界方法表明,下限可能成为特征值计算的主要。

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