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Prove that for any matrix there are scalars that are not all such that the combination is the zero matrix (where is the identity matrix, with ’s in its and entries and zeroes elsewhere; see Exercise 21).
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Let be a polynomial . If is a square matrix we define to be the matrix (where is the appropriately-sized identity matrix). Prove that for any square matrix there is a polynomial such that is the zero matrix.
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The minimal polynomial of a square matrix is the polynomial of least degree, and with leading coefficient , such that is the zero matrix. Find the minimal polynomial of this matrix.
(This is the representation with respect to , the standard basis, of a rotation through radians counterclockwise.)
Hefferon, Linear Algebra, Maps Between Spaces, Matrix Multiplication, Exercise 22