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Complex Analysis and Differential Geometry




                    Notes          15.1 Covectors

                                   In previous sections, we learned the following important fact about vectors: a vector is a physical
                                   object in each basis of our three-dimensional Euclidean space E represented by three numbers
                                   such that these numbers obey certain transformation rules when we change the basis.

                                   Now suppose that we have some other physical object that is represented by three numbers in
                                   each basis, and suppose that these numbers obey some certain transformation rules when we
                                   change the  basis. Is  it possible?  One can  try to  find such  an object  in nature.  However,  in
                                   mathematics we have another option. We can construct such an object mentally, then study its
                                   properties, and finally look if it is represented somehow in nature.
                                   Let’s denote our hypothetical object by a, and denote by a , a , a  that three numbers which
                                                                                      2
                                                                                        3
                                                                                   1
                                   represent this object in the basis e , e , e . By analogy with vectors we shall call them coordinates.
                                                               2
                                                                  3
                                                             1
                                   But in contrast to vectors, we intentionally used lower indices when denoting them by a , a , a .
                                                                                                              3
                                                                                                         1
                                                                                                           2
                                   Let’s prescribe  the  following  transformation rules  to  a ,  a , a   when  we change  e ,  e ,  e   to
                                                                                1
                                                                                                       1
                                                                                                         2
                                                                                                            3
                                                                                      3
                                                                                   2
                                   e ,e ,e :
                                     
                                    1
                                        3
                                      2
                                                                      3
                                                                        i
                                                                   j 
                                                                  
                                                                  a   S a ,                               ...(1)
                                                                        j i
                                                                     i 1
                                                                      
                                                                      3
                                                                        i
                                                                   j 
                                                                  a   T a ,                               ...(2)
                                                                          i
                                                                        j
                                                                     i 1
                                                                      
                                   Note that (1) is sufficient, formula (2) is derived from (1).
                                          Example: Using  the concept  of  the  inverse  matrix  T  =  S  derive  formula  (2)  from
                                                                                         –1
                                   formula (1).
                                   Definition: A geometric object a in each basis represented by a triple of coordinates a , a , a  and
                                                                                                           3
                                                                                                        2
                                                                                                      1
                                   such that its coordinates obey transformation rules (1) and (2) under a change of basis is called a
                                   covector.
                                   Looking at the above considerations one can think that we arbitrarily chose the transformation
                                   formula  (1). However,  this  is  not so.  The choice  of the  transformation  formula  should  be
                                   self-consistent in the following sense. Let e , e , e  and  e ,e ,e   be two bases and let  e ,e ,e   be
                                                                                                        
                                                                               
                                                                                                       
                                                                               1
                                                                                 2
                                                                                    3
                                                                                                       1
                                                                     1
                                                                                                         2
                                                                                                            3
                                                                       2
                                                                         3
                                   the third basis in the space. Let’s call them basis one, basis two and basis three for short. We can
                                   pass from basis one to basis three directly. Or we can use basis two as an intermediate basis.
                                   In both cases, the ultimate result for the coordinates of a covector in basis three should be the
                                   same: this is the self-consistence requirement. It means that coordinates of a geometric object
                                   should depend on the basis, but not on the way that they were calculated.
                                   Exercise 15.1: Replace S by T in (1) and T by S in (2). Show that the resulting formulas are not
                                   self-consistent.
                                   What about the physical reality of covectors? Later on we shall see that covectors do exist in
                                   nature.  They  are  the  nearest  relatives  of  vectors.  And  moreover,  we  shall  see  that  some
                                   well-known physical objects we  thought to  be vectors are of covectorial nature rather  than
                                   vectorial.
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