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The properties of eigenvalue and its application in postgraduate entrance examination mathematics

机译:特征值的性质及其在研究生入学考试中的应用

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The eigenvalue and eigenvector of matrix is one of the key contents of linear algebra,and it is also the hot spot of postgraduate entrance examination. Candidates should be careful and careful when reviewing this content. The first step is to understand the concept of eigenvalues and eigenvectors, and master the method of solving eigenvalue and eigenvector of matrix.Secondly, we should understand the concept of matrix similarity, master the related properties, understand the conditions of matrix similarity diagonalization, and master the method of matrix similarity diagonalization.Finally, we must be familiar with the special properties of eigenvalues and eigenvectors of real symmetric matrices, and master the method of transforming real symmetric matrices into diagonal matrices by using orthogonal matrices. (Abstract)
机译:矩阵的特征值和特征向量是线性代数的核心内容之一,也是研究生入学考试的热点。考生在复习这些内容时应该非常小心。第一步是理解特征值和特征向量的概念,掌握矩阵特征值和特征向量的求解方法。其次,要理解矩阵相似性的概念,掌握矩阵相似性对角化的相关性质,了解矩阵相似性对角化的条件,掌握矩阵相似性对角化的方法。最后,我们必须熟悉实对称矩阵的特征值和特征向量的特殊性质,掌握用正交矩阵将实对称矩阵转化为对角矩阵的方法。(摘要)

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