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Eigenvector and Eigenvalue

Eigenvector is the vector whose direction will not change if we apply a linear transformation to it. To be more specific, if Matrix A times vector v equals to 位 times v. Then we can say, v is the eigenvector of matrix A , 位 is the eignevalue of v. Given an matrix A, we might have multiple 位 v pairs that can complete this equation.

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Updated 2021-02-10

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Data Science