Page 18 - Numerical methods for chemical engineering
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4       1 Linear algebra




                            e 2   1

                         v 2
                             v
                                   v 1
                         0
                                        e 1   1
                    v
                     e   1
                   Figure 1.1 Physical interpretation of a 3-D vector.

                   we can write z as
                                                   z =|z|e iθ                         (1.14)



                   Vector notation and operations
                   We write a three-dimensional (3-D) vector v (Figure 1.1) as
                                                         
                                                       v 1
                                                  v =    v 2                        (1.15)
                                                       v 3
                                                        3
                   v is real if v 1 ,v 2 ,v 3 ∈ ; we then say v ∈  . We can easily visualize this vector in 3-
                   D space, defining the three coordinate basis vectors in the 1(x), 2(y), and 3(z) directions
                   as
                                                                  
                                          1              0             0
                                                                       0
                                                         1
                                          0
                                   e [1]  =     e [2]  =     e [3]  =           (1.16)
                                          0              0             1
                              3
                   to write v ∈  as
                                            v = v 1 e [1]  + v 2 e [2]  + v 3 e [3]   (1.17)
                                               N
                   We extend this notation to define   , the set of N-dimensional real vectors,
                                                         
                                                       v 1
                                                       v 2
                                                         
                                                                                      (1.18)
                                                         
                                                  v =  . 
                                                        .
                                                      . 
                                                       v N
                   where v j ∈  for j = 1, 2,..., N. By writing v in this manner, we define a column vector;
                   however, v can also be written as a row vector,
                                                      v 2 ...  v N ]                  (1.19)
                                              v = [v 1
                   The difference between column and row vectors only becomes significant when we start
                   combining them in equations with matrices.
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