Page 221 - Linear Algebra Done Right
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Prove that if T ∈L(V) and j is a positive integer such that
                      7.
                            j ≤ dim V, then T has an invariant subspace whose dimension
                            equals j − 1or j.      Exercises                                               211
                                                                            7
                      8.    Prove that there does not exist an operator T ∈L(R ) such that
                              2
                            T + T + I is nilpotent.
                                                                  7
                                                                               2
                      9.    Give an example of an operator T ∈L(C ) such that T + T + I
                            is nilpotent.
                      10.   Suppose V is a real vector space and T ∈L(V). Suppose α, β ∈ R
                                          2
                            are such that α < 4β. Prove that
                                                      2
                                                null(T + αT + βI) k
                            has even dimension for every positive integer k.

                      11.   Suppose V is a real vector space and T ∈L(V). Suppose α, β ∈ R
                                                      2
                                          2
                            are such that α < 4β and T + αT + βI is nilpotent. Prove that
                            dim V is even and
                                                2
                                              (T + αT + βI) dim V/2  = 0.

                                                3
                      12.   Prove that if T ∈L(R ) and 5, 7 are eigenvalues of T, then T has
                            no eigenpairs.

                      13.   Suppose V is a real vector space with dim V = n and T ∈L(V)
                            is such that
                                                null T n−2   = null T n−1 .
                            Prove that T has at most two distinct eigenvalues and that T has
                            no eigenpairs.

                      14.   Suppose V is a vector space with dimension 2 and T ∈L(V).     You do not need to find
                            Prove that if                                                 the eigenvalues of T to

                                                       a   c                              do this exercise. As
                                                       b   d                              usual unless otherwise

                            is the matrix of T with respect to some basis of V, then the char-  specified, here V may
                            acteristic polynomial of T equals (z − a)(z − d) − bc.        be a real or complex
                                                                                          vector space.
                      15.   Suppose V is a real inner-product space and S ∈L(V) is an isom-
                            etry. Prove that if (α, β) is an eigenpair of S, then β = 1.
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