Section 5C

Upper-Triangular Matrices

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Problem 5C.1

Prove or give a counterexample: If T∈L(V)T \in \mathcal{L}(V) and T2T^{2} has an upper-triangular matrix with respect to some basis of VV, then TT has an upper-triangular matrix with respect to some basis of VV.

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Problem 5C.2

Suppose AA and BB are upper-triangular matrices of the same size, with α1,…,αn\alpha_{1}, \ldots , \alpha_{n} on the diagonal of AA and β1,…,βn\beta_{1}, \ldots , \beta_{n} on the diagonal of BB.

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(a)

Show that A+BA+B is an upper-triangular matrix with α1+β1,…,αn+βn\alpha_{1}+\beta_{1}, \ldots , \alpha_{n}+\beta_{n} on the diagonal.

(b)

Show that ABA B is an upper-triangular matrix with α1β1,…,αnβn\alpha_{1} \beta_{1}, \ldots , \alpha_{n} \beta_{n} on the diagonal.

Remark.
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The results in this exercise are used in the proof of 5.81. Theorem 5.81 (eigenvalues of sum and product of commuting operators): suppose VV is a finite-dimensional complex vector space and S,TS, T are commuting operators on VV. Then every eigenvalue of S+TS+T is an eigenvalue of SS plus an eigenvalue of TT, and every eigenvalue of STS T is an eigenvalue of SS times an eigenvalue of TT.

Problem 5C.3

Suppose T∈L(V)T \in \mathcal{L}(V) is invertible and v1,…,vnv_{1}, \ldots , v_{n} is a basis of VV with respect to which the matrix of TT is upper triangular, with λ1,…,λn\lambda_{1}, \ldots , \lambda_{n} on the diagonal. Show that the matrix of T−1T^{-1} is also upper triangular with respect to the basis v1,…,vnv_{1}, \ldots , v_{n}, with

1λ1,…,1λn \frac{1}{\lambda _{1}}, \ldots , \frac{1}{\lambda _{n}}

on the diagonal.

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Problem 5C.4

Give an example of an operator whose matrix with respect to some basis contains only 0 's on the diagonal, but the operator is invertible.

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Remark.
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This exercise and the exercise below show that 5.41 fails without the hypothesis that an upper-triangular matrix is under consideration. Theorem 5.41 (determination of eigenvalues from upper-triangular matrix): suppose T∈L(V)T \in \mathcal{L}(V) has an upper-triangular matrix with respect to some basis of VV. Then the eigenvalues of TT are precisely the entries on the diagonal of that upper-triangular matrix.

Problem 5C.5

Give an example of an operator whose matrix with respect to some basis contains only nonzero numbers on the diagonal, but the operator is not invertible.

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Problem 5C.6

Suppose F=C,V\mathbf{F} = \mathbb {C}, V is finite-dimensional, and T∈L(V)T \in \mathcal{L}(V). Prove that if k∈{1,…,dim⁡V}k \in \left\{ 1, \ldots , \operatorname {dim} V\right\}, then VV has a kk-dimensional subspace invariant under TT.

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Problem 5C.7

Suppose VV is finite-dimensional, T∈L(V)T \in \mathcal{L}(V), and v∈Vv \in V.

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(a)

Prove that there exists a unique monic polynomial pvp_{v} of smallest degree such that pv(T)v=0p_{v}(T) v = 0.

(b)

Prove that the minimal polynomial of TT is a polynomial multiple of pvp_{v}.

Problem 5C.8

Suppose VV is finite-dimensional, T∈L(V)T \in \mathcal{L}(V), and there exists a nonzero vector v∈Vv \in V such that T2v+2Tv=−2vT^{2} v+2 T v = -2 v.

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(a)

Prove that if F=R\mathbf{F} = \mathbb {R}, then there does not exist a basis of VV with respect to which TT has an upper-triangular matrix.

(b)

Prove that if F=C\mathbf{F} = \mathbb {C} and AA is an upper-triangular matrix that equals the matrix of TT with respect to some basis of VV, then −1+i-1+i or −1−i-1-i appears on the diagonal of AA.

Problem 5C.9

Suppose BB is a square matrix with complex entries. Prove that there exists an invertible square matrix AA with complex entries such that A−1BAA^{-1} B A is an upper-triangular matrix.

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Problem 5C.10

Suppose T∈L(V)T \in \mathcal{L}(V) and v1,…,vnv_{1}, \ldots , v_{n} is a basis of VV. Show that the following are equivalent.

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(a)

The matrix of TT with respect to v1,…,vnv_{1}, \ldots , v_{n} is lower triangular.

(b)

span⁡(vk,…,vn)\operatorname {span}\left(v_{k}, \ldots , v_{n}\right) is invariant under TT for each k=1,…,nk = 1, \ldots , n.

(c)

Tvk∈span⁡(vk,…,vn)T v_{k} \in \operatorname {span}\left(v_{k}, \ldots , v_{n}\right) for each k=1,…,nk = 1, \ldots , n.

Remark.
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A square matrix is called lower triangular if all entries above the diagonal are 00.

Problem 5C.11

Suppose F=C\mathbf{F} = \mathbb {C} and VV is finite-dimensional. Prove that if T∈L(V)T \in \mathcal{L}(V), then there exists a basis of VV with respect to which TT has a lower-triangular matrix.

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Problem 5C.12

Suppose VV is finite-dimensional, T∈L(V)T \in \mathcal{L}(V) has an upper-triangular matrix with respect to some basis of VV, and UU is a subspace of VV that is invariant under TT.

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(a)

Prove that T∣U\left.T\right|_{U} has an upper-triangular matrix with respect to some basis of UU.

(b)

Prove that the quotient operator T/UT / U has an upper-triangular matrix with respect to some basis of V/UV / U.

Remark.
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The quotient operator T/UT/U was defined in Exercise 38 in Section 5A: suppose VV is finite-dimensional, T∈L(V)T \in \mathcal{L}(V), and UU is a subspace of VV invariant under TT; the quotient operator T/U∈L(V/U)T/U \in \mathcal{L}(V/U) is defined by (T/U)(v+U)=Tv+U(T/U)(v+U) = Tv+U for each v∈Vv \in V.

Problem 5C.13

Suppose VV is finite-dimensional and T∈L(V)T \in \mathcal{L}(V). Suppose there exists a subspace UU of VV that is invariant under TT such that T∣U\left.T\right|_{U} has an uppertriangular matrix with respect to some basis of UU and also T/UT / U has an upper-triangular matrix with respect to some basis of V/UV / U. Prove that TT has an upper-triangular matrix with respect to some basis of VV.

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Problem 5C.14

Suppose VV is finite-dimensional and T∈L(V)T \in \mathcal{L}(V). Prove that TT has an uppertriangular matrix with respect to some basis of VV if and only if the dual operator T′T^{\prime } has an upper-triangular matrix with respect to some basis of the dual space V′V^{\prime }.

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