本文利用数学定理和新的灵敏度定义给出特征值和特征向量导数的精确解。
The exact solution of derivatives of eigenvalue and eigenvector is presented by utilizing the mathematical theorem and new definitions of sensitivities.
采用矩阵迭代法可以直接迭代计算特征向量导数，避免了对奇异灵敏度方程的求解。
Using matrix iteration methods, the eigenvector derivatives can be iterated directly, solving the singular sensitivity equation can be avoided.
为求出随机特征对的方差，借助于模态截断概念推出诸特征值与特征向量对随机变量的偏导数。
Partial derivatives of eigenvalues and eigen vectors with respect to random variables for structures are deduced by means of the concept of mode truncation.
为求出随机特征对的方差，借助于模态截断概念推出诸特征值与特征向量对随机变量的偏导数。
Partial derivatives of eigenvalues and eigen vectors with respect to random variables for structures are deduced by means of the concept of mode truncation.
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