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Unit 15: Tensors in Cartesian Coordinates




          15.14 Self Assessment                                                                 Notes

          1.   Defining the scalar product  a,x  by means of sum we used the coordinates of vector x and
               of covector a, which are ..................
          2.   A geometric object a in each basis represented by some square matrix aij and such that
                                                                    3  3
                                                                         p
                                                                           q
                                                                 ij 
               components  of  its  matrix  aij  obey  transformation  rules  a   S S a pq    and  a   =
                                                                
                                                                         i
                                                                           j
                                                                                    ij
                                                                    p 1 q 1
                                                                      
                                                                    
                3  3
                  T T a   pq   under a change of basis is called a ..................
                     p
                       q
                       j
                     i
               p 1 q 1
                  
                
          3.   The coordinates of a vector are numerated by one upper index, which is called the ..................
          4.   The  number of indices and  their positions  determine the  .................., i.e.  the way  the
               components of each particular tensor behave under a change of basis.
          15.15 Review Questions
          1.   Explain why the scalar product  a,x  is sometimes called the bilinear function of vectorial
               argument x and  covectorial argument a. In  this capacity, it can  be denoted  as f(a,  x).
               Remember our discussion about functions with non-numeric arguments.
                      y 1  F 1 1  F 2 1  F 3 1  x 1  3
                                                     j
                       2
          2.   Derive  y   F 1 2  F 2 2  F 3 2  x 2   from y  =   F x .
                                                   i
                                             i
                                                   j
                      y 3  F 1 3  F 2 3  F 3 3  x 3  j 1
                                                 
          3.   Let  be some real number and let x and y be two vectors. Prove the following properties
               of a linear operator:
               (1)  F(x + y) = F(x) + F(y),
               (2)  F( x) = F(x).
          4.   Find the matrix of composite operator F    H if the matrices for F and H in the basis e , e ,
                                                                                   1
                                                                                     2
               e  are known.
                3
          5.   Remember  the  definition  of  the  identity  map  in  mathematics  (see  on-line  Math.
               Encyclopedia) and define the identity operator id. Find the matrix of this operator.
          6.   Remember the definition of the inverse map in mathematics and define inverse operator
               F  for linear operator F. Find the matrix of this operator if the matrix of F is known.
                –1
          7.   Let a  be the matrix of some bilinear form a. Let’s denote by b  components of inverse
                                                                   ij
                   ij
               matrix for a . Prove that matrix b  under a change of basis transforms like matrix of twice-
                                         ij
                        ij
               contravariant tensor. Hence it determines tensor b of valency (2, 0). Tensor b is called a
               dual bilinear form for a.
          8.   By  analogy  with  exercise  Y  1 i ...i  r    X  1 i ...i  r    prove  the  consistence  of  formula
                                           1 j ...j s  1 j ....j s
               Z  1 i ...i r p     X  1 j ....j r s Y i  r 1 ...i s p   .
                        1 i ...i
                              r p
                            s 1 ...j
                 1 j ...j
                   s p
                           j 
                              
          9.   Give an example of two tensors such that X    Y  Y    X.



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