Question: (a) Prove that every eigenvalue of a matrix A is also an eigenvalue of its transpose AT. (b) Do they have the same eigenvectors? Prove
(b) Do they have the same eigenvectors? Prove that if v is an eigenvector of A with eigenvalue λ and w is an eigenvector of AT with a different eigenvalue μ ‰ λ, then v and w are orthogonal vectors with respect to the dot product.
(c) Illustrate this result when
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0 -I 2 1 5 -4 2 (i) A=( ^-(-1-2-1) (ii) A54
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a detA T I detA I T detA I and hence A and A T have the same characteristic polynomial which implie... View full answer
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