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Chapter 10. Trace and Determinant
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                                              Change of Basis
                                                The matrix of an operator T ∈L(V) depends on a choice of basis
                                              of V. Two different bases of V may give different matrices of T. In this
                                              section we will learn how these matrices are related. This information
                                              will help us find formulas for the trace and determinant of T later in
                                              this chapter.
                                                With respect to any basis of V, the identity operator I ∈L(V) has a
                                              diagonal matrix
                                                                                  
                                                                         1      0
                                                                           .      
                                                                            . .     .
                                                                                  
                                                                         0      1
                                              This matrix is called the identity matrix and is denoted I. Note that we
                                              use the symbol I to denote the identity operator (on all vector spaces)
                                              and the identity matrix (of all possible sizes). You should always be
                                              able to tell from the context which particular meaning of I is intended.
                                              For example, consider the equation

                                                                         M(I) = I;

                                              on the left side I denotes the identity operator and on the right side I
                                              denotes the identity matrix.
                                                If A is a square matrix (with entries in F, as usual) with the same
                                              size as I, then AI = IA = A, as you should verify. A square matrix A
                        Some mathematicians   is called invertible if there is a square matrix B of the same size such
                               use the terms  that AB = BA = I, and we call B an inverse of A. To prove that A has
                          nonsingular, which  at most one inverse, suppose B and B are inverses of A. Then

                           means the same as




                              invertible, and                B = BI = B(AB ) = (BA)B = IB = B ,
                       singular, which means
                                              and hence B = B , as desired. Because an inverse is unique, we can use

                                the same as
                                              the notation A −1  to denote the inverse of A (if A is invertible). In other
                               noninvertible.
                                              words, if A is invertible, then A −1  is the unique matrix of the same size
                                              such that AA −1  = A −1 A = I.
                                                Recall that when discussing linear maps from one vector space to
                                              another in Chapter 3, we defined the matrix of a linear map with respect
                                              to two bases—one basis for the first vector space and another basis for
                                              the second vector space. When we study operators, which are linear
                                              maps from a vector space to itself, we almost always use the same basis
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