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Unformatted text preview: Wednesday March 25 − Lecture 32 : More on eigenvectors. (Refers to 6.2 and 6.3) Expectations: 1. Define an eigenspace. 2. Recognize that λ 1 is an eigenvalue of A iff 1/ λ 1 is an eigenvalue of A1 . 3. Define algebraic and geometric multiplicity of an eigenvalue. 32.1 Definition – Let λ 1 be an eigenvalue of the matrix A . We have seen that we can associate to λ 1 a set of nonzero vectors E λ 1 called eigenvectors of A associated to λ 1 . This set is the complete solution of the homogeneous system ( A – λ 1 I ) x = , minus the zero vector . If we include the zero vector in this set we recognize that it is a subspace of R n . When the zero vector is included we call E λ 1 the eigenspace associated to λ 1 . 32.1.1 Remark − Given a matrix A we can associate to each of its eigenvalues λ an eigenspace E λ , 32.2 Proposition − Let A be an invertible matrix. If λ 1 is an eigenvalue of A then 1/ λ 1 is an eigenvalue of A1 . Furthermore x is an eigenvector associated to 1/ λ 1 iff x is an eigenvector of λ 1 . Proof: Suppose matrix A .is invertible. λ 1 is a eigenvalue of A ....
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 Winter '08
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 Linear Algebra, Algebra, Eigenvectors, Vectors, Eigenvalue, eigenvector and eigenspace, algebraic multiplicity

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