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Exercise 9.A.18
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Proof. The proof that (a) (b) below is basically a rewrite of the proof 5.27 with a few tweakings.
Suppose (a) holds. We will prove (b) by induction on . First, if , then the matrix of with respect to any basis only has one entry and thus (b) trivially holds. Assume that and that (a) implies (b) for all vector spaces of lower dimension.
Let be an eigenvalue of , which exists by (a) and 9.11. Define
Because , the Fundamental Theorem of Linear Maps implies that . Futhermore, is invariant under and so
C(T|_U)_C(T|_U)_C is an eigenvalue of
Cu_1 + iu_2u_1, u_2 . Then
C(u_1 + iu_2) = (T|_U)u_1 + i(T|_U)u_2 = Tu_1 + iTu_2 = T_C(u_1 + iu_2),
which implies that is an eigenvalue of
Cu_1, …, u_mUT|_U
Extend it to a basis of . For each we have
The definition of shows that . Hence, the equation above shows that
Using , and 5.26, we conclude that the matrix of with respect to basis of is upper triangular.
9.7 and 5.32 show that (b) implies (a). Hence the equivalence between (a) and (b) is established. Now it suffices to show that (a) and (c) are equivalent.
Suppose (a) holds. Let be an eigenvalue of
Cdu_1 + iv_1, …, u_d + iv_dG(
C)j = 1, …, d
C(u_j + iv_j) = (T_C -
This implies that . Since
C)du_1, v_1, …, u_d, v_dd. Since the sum of multiplicities of the generalized eigenspaces of is at most , it follows that the only way the dimensions will fit is if .
Thus, summing all the generalized eigenspaces of we get a subspace of with dimension , namely . Taking a basis of generalized eigenspace and putting this bases together gives a basis consisting of generalized eigenvectors of . Thus (c) holds.
Now suppose (c) holds. Then
C. Hence
C