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Linear Algebra




                    Notes                                      = (T – cI)
                                   and thus, c is a characteristic value of T.
                                   Now, suppose that c is a characteristic value of T, say T = c with   0.  So

                                                           T
                                                          p ( )  =  ( ) .p c
                                   Since p(T) = 0 and   0, we have p(c) 0.

                                   Let T be a diagonalizable linear operator and let  c 1 , , c be the distinct characteristic values of
                                                                                k
                                   T. Then it is easy to see that the minimal polynomial for T is the polynomial.
                                                                 p = (x – c )  (x – c ).
                                                                       1        k
                                   If  is a characteristic vector, then one of the operators T – c I,  , T – c I sends  into 0. Therefore
                                                                                 1        k
                                                                      
                                                                (T c I ) (T c I )  0
                                                                    1       k
                                   for every characteristic vector  . There is a basis for the  underlying space which consists of
                                   characteristic vectors of T; hence

                                                               T
                                                             p ( ) (T c I ) (T c I ) 0.
                                                                       1       k
                                   What we have concluded is this.  If  T  is a diagonalizable linear  operator, then the  minimal
                                   polynomial for T is a product  of distinct  linear factors.  As we  shall soon see, that property
                                   characterizes diagonalizable operators.

                                          Example 1: Let’s try to find the minimal polynomials for the operators in Example 1, 2,
                                   and 6 in unit 12. We shall discuss them in reverse order. The operator in Example 6 was found to
                                   be diagonalizable with characteristic polynomial.
                                   From the preceding paragraph we know that the minimal polynomial for  T is.
                                                                   p  (x  1)(x x ).
                                   The reader might find it reassuring to verify directly that
                                                                           I
                                                                  (A I )(A  2 ) 0.
                                                                                                     2
                                   In Example 2, the operator T also had the characteristic polynomial  f  (x  1)(x  2) . But, this T
                                   is not diagonalizable, so we don’t know that the minimal polynomial is (x – 1) (x – 2). What do
                                   be know about the minimal polynomial in this case? We know that its roots are 1 and 2, with
                                   some multiplicities  allowed. Thus  we search for  p among polynomials of the form  (x  –  1) k
                                        l
                                   (x  2) ,k  1,l  1.  Try (x – 1) (x – 2):
                                                                  2 1  1  1 1  1
                                                                  2 1  1  2 0  1
                                                   (A – I) (A – 2I) =
                                                                  2 2  1  2 2  2
                                                                  2 0  1
                                                               =   2 0  1
                                                                  4 0  2
                                   Thus, the minimal polynomial has degree at least 3. So, next we should try either (x – 1)  (x – 2)
                                                                                                         2
                                   or (x – 1) (x – 2) . The second being the characteristic polynomial, would seem a less random
                                                2
                                   choice. One can readily compute that (A – I) (A – 2I) = 0. Thus the minimal polynomial for T is
                                                                            2
                                   its characteristic polynomial.




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