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