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Unit 27: Separable Extensions




          Theorem 9: Let A be a finite-dimensional K-algebra, L/K be a field extension, and B = L A be  Notes
                                                                                  K
          the base extension of A to an L-algebra. For a  A, Tr  (1a) = Tr  (a).
                                                     B/L       A/K
          Proof: Let e ,....., e  be a K-basis of A. Write ae =   n i 1 c e , so the matrix for m  in this basis is (c ).
                                              j 
                                                                                     ij
                   1
                        n
                                                     ij i
                                                                       a
                                                   
          The tensors 1  e ,....., 1  en are an L-basis of B, and we have
                        1
                                n
          (1  a) (1  e) = 1  ae =   c (1  e ),
                            j 
                                       i
                                  ij
                     j
                               i 1
                               
          so the matrix for m 1a  on B is the same as the matrix for m  on A. Thus Tr A/K (a) = Tr B/L (1  a).
                                                         a
          Remark: Because m 1a  and m  have the same matrix representation, not only are their traces the
                                 a
          same but their characteristic polynomials are the same.
          Theorem 10: Let A be  a finite-dimensional K-algebra. For any  field extension L/K, the base
          extension by K of the trace map A   K is  the trace map L    A   L.  That is, the function
                                                             K
          idTr A/K  : LK A  L which sends an elementary tensor x a to xTr A/K (a) is the trace map
          Tr (LKA)/L .
          Proof: We want to show Tr (LKA)/L (t) = (idTr A/K )(t) for all t  L A. The elementary tensors
                                                                K
          additively span L  A so it succes to check equality when t = x  a for x  K and a  A. This means
                         K
          we need to check Tr (LKA)/K (x  a) = xTr A/K (a).
          Pick a K-basis  e ,..., e  for  A  and write  ae  =    n i 1 c e   with c   K.  The elementary  tensors
                                                     ij i
                                             j
                            n
                       1
                                                             ij
                                                  
          1  e ,..., 1  e  are an L-basis of LK A and
                     n
              1
                                                n          n
                                        x
                                             j 
                                                        i 
                           (x   a)(1   e )   ae   c (x   e )   c x(1  e )
                                                                    i
                                                              ij
                                     j
                                                  ij
                                                i 1        i 1
                                                           
                                                
          by the definition of the L-vector space structure on L A. So the matrix for multiplication by
                                                       K
          x  a in the basis {1  e } is (c x), which implies
                                  ij
                             i
                                              n      n
                              Tr (L KA)/L (x   a)   c x  x  cii  xTr A /K (a).
                                                ii
                                 
                                             i 1     i 1
                                                     
                                             
          Derivations
          A  derivation  is  an  abstraction  of  differentiation  on  polynomials.  We  want  to work  with
          derivations on fields, but polynomial rings will intervene, so we need to understand derivations
          on rings before we focus on fields.
          Let R be a commutative ring and M be an R-module (e.g., M = R). A derivation on R with values
          in M is a map D : R  M such that D(a + b) = D(a) + D(b) and D(ab) = aD(b) + bD(a). Easily, by
          induction D(a ) = na D(a) for any n  1. When M = R, we will speak of a derivation on R.
                     n
                          n-1
          Example: For any commutative ring A, differentiation with respect to X on A[X] is a derivation
          on A[X] (R = M = A[X]).
          Example: Let R = A[X] and M = A as an R-module by f(X)a := f(0)a. Then D: R  M by D(f)
          = f’(0) is a derivation.
                                                                              X .
                                                        i
                                                                    D
          Example: Let D : R  R be a derivation. For  f(X)   i   a X  in R[X], set f (X) =   i   D a i  i
                                                      i
          This is the application of D coefficentwise to f(X). The operation f  f is a derivation on R[X] (to
                                                                 D
          check the product rule, it suffices to look at monomials).
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