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Perturbation analysis of eigenvalues of a class of self-adjoint operators

机译:一类自伴经营者特征值的扰动分析

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We consider a class of spatially invariant systems whose coefficients are perturbed by spatially periodic functions. We analyze changes in transient behavior under the effect of such perturbations. This is done by performing a spectral analysis of the state transition operator at every point in time. Computational complexity is significantly reduced by using a procedure that captures the influence of the perturbation on only the largest singular values of the state transition operator. Furthermore, we show that the problem of computing corrections of all orders to the maximum singular values collapses to that of finding the eigenvalues of a set of finite dimensional matrices. Finally, we demonstrate the predictive power of this method via an example.
机译:我们考虑一类空间不变系统,其系数通过空间周期性函数扰乱。我们分析了这种扰动效果下的瞬态行为的变化。这是通过在每个时间点执行状态过渡操作员的光谱分析来完成的。通过使用捕获扰动对状态过渡操作员的最大奇异值的过程的程序显着减少了计算复杂性。此外,我们表明,计算所有订单的校正的问题到最大奇异值折叠到查找一组有限维矩阵的特征值的问题。最后,我们通过示例展示了该方法的预测力。

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