首页> 外文期刊>SIAM Journal on Matrix Analysis and Applications >ON THE CONVERGENCE OF THE SELF-CONSISTENT FIELDITERATION FOR A CLASS OF NONLINEAR EIGENVALUEPROBLEMS
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ON THE CONVERGENCE OF THE SELF-CONSISTENT FIELDITERATION FOR A CLASS OF NONLINEAR EIGENVALUEPROBLEMS

机译:一类非线性特征值问题的自洽场迭代的收敛性

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摘要

We investigate the convergence of the self-consistent field (SCF) iteration used to solvea class of nonlinear eigenvalue problems. We show that for the class of problems considered, the SCFiteration produces a sequence of approximate solutions that contain two convergent subsequences.These subsequences may converge to two different limit points, neither of which is the solution tothe nonlinear eigenvalue problem. We identify the condition under which the SCF iteration becomesa contractive fixed point iteration that guarantees its convergence. This condition is characterized byan upper bound placed on a parameter that weighs the contribution from the nonlinear componentof the eigenvalue problem. We derive such a bound for the general case as well as for a special casein which the dimension of the problem is 2.
机译:我们研究了用于解决一类非线性特征值问题的自洽场(SCF)迭代的收敛性。我们表明,对于所考虑的问题类别,SCFiteration产生了包含两个收敛子序列的近似解序列,这些子序列可能收敛于两个不同的极限点,这两个都不是非线性特征值问题的解决方案。我们确定了SCF迭代成为保证其收敛的收缩定点迭代的条件。此条件的特征在于,将一个上限放在参数上,该参数权衡特征值问题的非线性成分的贡献。我们为一般情况以及问题量为2的特殊情况得出这样的界线。

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