Exercise 9.A.18

Answers

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 dim V . First, if dim V = 1, then the matrix of T with respect to any basis only has one entry and thus (b) trivially holds. Assume that dim V > 1 and that (a) implies (b) for all vector spaces of lower dimension.

Let λ be an eigenvalue of T, which exists by (a) and 9.11. Define

U = range (T λI).

Because dim null (T λI) 1, the Fundamental Theorem of Linear Maps implies that dim U < dim V . Futhermore, U is invariant under T and so U

Cisinvariantunder(T|_U)_C.Alltheeigenvaluesof(T|_U)_Carereal.Toseethis,supposeλ is an eigenvalue of (T|U)

Candu_1 + iu_2acorrespondingeigenvectorforsomeu_1, u_2 U. Then

λ(u1 + iu2) = (T|U)

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 λ is an eigenvalue of T

Candthusmustbereal.Bytheinductionhypothesisthereexistsabasisu_1, …, u_mofUwithrespecttowhichthematrixofT|_Uisuppertriangular.From5.26,wegetthat

Tuj = (T|U)uj span (u1, ,uj).

Extend it to a basis u1,,um,v1,,vn of V . For each k we have

Tvk = (T λI)vk + λvk.

The definition of U shows that (T λI)vk U. Hence, the equation above shows that

Tvk span (u1, ,um,v1, ,vk).

Using (4), (5) and 5.26, we conclude that the matrix of T with respect to basis u1,,um,v1,,vn of V 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 λ be an eigenvalue of T

Candletddenoteitsmultiplicity.Letu_1 + iv_1, …, u_d + iv_dbeabasisofG(λ,T

C).Foreachj = 1, …, d,wehave

(T λ)dim V u j + i(T λ)dim V v j = ((T λ)dim V )

C(u_j + iv_j) = (T_C - λ)dim V (uj + ivj) = 0.

This implies that u1,v1,,ud,vd G(λ,T). Since G(λ,T

C)iscontainedinthecomplexspanofthislist,itfollowsthatthedimensionofthiscomplexspanisatleastd.9.4(b)nowimpliesthatthedimensionoftherealspanofu_1, v_1, …, u_d, v_disatleastd.HencedimG(λ,T) d. Since the sum of multiplicities of the generalized eigenspaces of T is at most dim V , it follows that the only way the dimensions will fit is if dim G(λ,T) = d.

Thus, summing all the generalized eigenspaces of T we get a subspace of V with dimension dim V , namely V . Taking a basis of generalized eigenspace and putting this bases together gives a basis consisting of generalized eigenvectors of V . Thus (c) holds.

Now suppose (c) holds. Then T

Chasrealeigenvalues,whosesumofmultiplicitiesalreadyequaldimV . Hence T

Ccannothaveanonrealeigenvalue.Thus(a)holds.

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2017-10-06 00:00
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