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Chapter 9. Operators on Real Vector Spaces
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                                                Suppose V is a real vector space and T ∈L(V). Clearly the Cayley-
                                              Hamilton theorem (9.20) implies that the minimal polynomial of T has
                                              degree at most dim V, as was the case on complex vector spaces. If
                                              the degree of the minimal polynomial of T equals dim V, then, as was
                                              also the case on complex vector spaces, the minimal polynomial of T
                                              must equal the characteristic polynomial of T. This follows from the
                                              Cayley-Hamilton theorem (9.20) and 8.34.
                                                Finally, we can now prove a major structure theorem about oper-
                                              ators on real vector spaces. The theorem below should be compared
                                              to 8.23, the corresponding result on complex vector spaces.
                                              9.22  Theorem: Suppose V is a real vector space and T ∈L(V). Let
                                              λ 1 ,...,λ m be the distinct eigenvalues of T, with U 1 ,...,U m the corre-
                              Either m or M   sponding sets of generalized eigenvectors. Let (α 1 ,β 1 ),...,(α M ,β M )
                                                                                            2
                                 might be 0.  be the distinct eigenpairs of T and let V j = null(T + α j T + β j I) dim V  .
                                              Then

                                              (a)  V = U 1 ⊕· · ·  U m ⊕ V 1 ⊕ ··· ⊕ V M ;
                                              (b)  each U j and each V j is invariant under T;
                                                                               2
                                              (c)  each (T − λ j I)| U j  and each (T + α j T + β j I)| V j  is nilpotent.
                          This proof uses the   Proof: From 8.22, we get (b). Clearly (c) follows from the defini-
                       same ideas as the proof  tions.
                       of the analogous result  To prove (a), recall that dim U j equals the multiplicity of λ j as an
                           on complex vector  eigenvalue of T and dim V j equals twice the multiplicity of (α j ,β j ) as
                               spaces (8.23).  an eigenpair of T. Thus

                                              9.23      dim V = dim U 1 +· · ·+ dim U m + dim V 1 +· · ·+ V M ;

                                              this follows from 9.17. Let U = U 1 +· · ·+ U m + V 1 + ··· + V M . Note
                                              that U is invariant under T. Thus we can define S ∈L(U) by

                                                                          S = T| U .

                                              Note that S has the same eigenvalues, with the same multiplicities, as T
                                              because all the generalized eigenvectors of T are in U, the domain of S.
                                              Similarly, S has the same eigenpairs, with the same multiplicities, as T.
                                              Thus applying 9.17 to S, we get

                                                     dim U = dim U 1 + ··· + dim U m + dim V 1 +· · ·+ V M .
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