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Linear Algebra




                    Notes          19.3 Summary

                                      Know what is a cyclic vector, cyclic subspaces of a linear operator  T acting on a finite
                                       dimension vector space.

                                      See that if the cyclic vector is found then the basis vectors of the sub-space of the linear
                                       transformation can be found that span the space of the linear operator.

                                      Understand how to find the  T-annihilator of a vector and also find out  that the monic
                                       polynomial which generates it has a degree equal to the dimension of the cyclic subspace.

                                   19.4 Keywords

                                   A Cyclic  Vector: If the  T-cyclic subspace generated by the vector    spans the  whole  finite
                                   dimensional space V then  is called a cyclic vector for the linear T.
                                   Cyclic Subspace: If  is a vector in a finite dimensional space V of a linear operator T, then the
                                   invariant subspace W which contains all g(T) for every polynomial g over F is called T-cyclic
                                   subspace generated by .
                                   T-annihilator of a Vector:  consisting of all polynomials g over F such that g(T) = 0 is called
                                   T-annihilator of . The unique monic polynomial which generates this set will also be called the
                                   T-annihilator of .

                                   19.5 Review Questions

                                   1.  Let  T  be  a  linear  operator  on  the  finite  dimensional  space  V .  Suppose  that  T  is
                                                                                             n
                                       diagonalizable. If T has a cyclic vector, then show that T has n-distinct characteristic values.
                                   2.  If S and T are nilpotent linear transformation which commute, prove that ST and S + T are
                                       nilpotent linear transformations.

                                   19.6 Further Readings




                                   Books         Kenneth Hoffman and Ray Kunze, Linear Algebra
                                                 I.N. Herstein, Topics in Algebra
                                                 Michael Artin, Algebra

























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