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Matrix theory / Abstract algebra / Spectral theory / Eigenvalues and eigenvectors / Singular value decomposition / Characteristic polynomial / Trace / Matrix / Vector space / Algebra / Mathematics / Linear algebra
Date: 2002-12-16 01:43:24
Matrix theory
Abstract algebra
Spectral theory
Eigenvalues and eigenvectors
Singular value decomposition
Characteristic polynomial
Trace
Matrix
Vector space
Algebra
Mathematics
Linear algebra

7.2 FINDING THE EIGENVALUES OF A MATRIX Consider an n × n matrix A and a scalar λ. By definition λ is an eigenvalue of A if there is a nonzero vector ~v in Rn such that A~v = λ~v

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