Eigenvalues and eigenvectors

Eigenvalues and eigenvectors are the key contents of linear algebra and one of the key points of postgraduate entrance examination.

1, key content:

Concept and calculation of (1) eigenvalues and eigenvectors

(2) Similar diagonalization of square matrix

(3) Orthogonal similarity diagonalization of real symmetric matrices

2. Frequently asked questions:

The Solution of Eigenvalue and Eigenvector of (1) Numerical Matrix

(2) Solving the eigenvalues and eigenvectors of the abstract matrix.

(3) Judgment of Matrix Similarity and Inverse Problem (20 14)

(4) Similar diagonalization and inverse problems of matrices.

(5) Reverse a from eigenvalue or eigenvector.

(6) On the problem of real symmetric matrix

On February 20/6, Tang Jiafeng, the finishing touch class of mathematics for postgraduate entrance examination, conducted a three-hour model test before the exam at 9: 00- 12: 00, 14: 00- 17: 00 on February 65438, and made a three-hour prediction. Problem-solving skills will be taught to students in the examination room, and the test center will also be taught briefly. Sign up quickly, one step ahead of others!

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