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6.4 The Vector Space R n  165

                                           We can write any n-vector in standard form
                                                            < x 1 , x 2 ,··· , x n >= x 1 e 1 + x 2 e 2 + ··· + x n e n .
                                        This is a direct generalization of writing a 3-vector in terms of the orthonormal 3-vectors i, j
                                        and k.



                                                                             n
                                                                                                    n
                                          Suppose now that S is a set of vectors in R . We call S a subspace of R if the following
                                          conditions are met:
                                              1. O is in S.
                                              2. The sum of any vectors in S is in S.
                                              3. The product of any vector in S by any real number is in S.



                                           Conditions (2) and (3) of this definition are equivalent to asserting that αF + βG is in S for
                                        any numbers α and β and vectors F and G in S.
                                            R is a subspace of itself, and the set S ={< 0,0,··· ,0 >} consisting of just the zero vector
                                             n
                                                      n
                                        is a subspace of R . This is called the trivial subspace. Here are more substantial examples.
                                 EXAMPLE 6.8
                                                                                   2
                                                                 n
                                        Let S consist of all vectors in R having norm 1. In R this can be visualized as the set of points
                                        on the unit circle about the origin, and in 3-space as the set of points on the unit sphere about the
                                                                 n
                                        origin. S is not a subspace of R because the zero vector is not in S, violating requirement (1) of
                                        the definition. This is enough to disqualify S from being a subspace. However, in this example,
                                        requirements (2) and (3) also fail. A sum of two vectors having length 1 does not have length
                                        1, hence is not in S. And a scalar multiple of a vector in S is not in S unless the scalar is 1
                                        or −1.


                                 EXAMPLE 6.9
                                                                                          4
                                        Let K consist of all scalar multiples of F =< −1,4,2,0 > in R . The zero vector is in K (this is
                                        the product of F with the number zero). A sum of scalar multiples of F is a scalar multiple of F,
                                        hence is in K, so requirement (2) holds. And a scalar multiple of a scalar multiple of F is also a
                                        scalar multiple of F, so requirement (3) is true.


                                 EXAMPLE 6.10

                                        In R ,let W consist of all vectors having second, fourth and sixth component zero. Thus S con-
                                            6
                                        sists of all 6-vectors < x,0, y,0, z,0>. Then <0,0,0,0,0,0> is in W (choose x = y = z = 0).
                                        A sum of vectors in W also has second, fourth and sixth components zero, as does any scalar
                                        multiple of a vector in W. Therefore W is a subspace of R .
                                                                                      6

                                 EXAMPLE 6.11
                                                                     n
                                        Let F 1 ,··· ,F k be any k vectors in R . Then the set L of all vectors of the form
                                                                    α 1 F 1 + α 2 F 2 + ··· + α k F k ,
                                                                                              n
                                        in which the α j s can be any real numbers, forms a subspace of R . We call this subspace the

                                        span of F 1 ,··· ,F k and we will say more shortly about subspaces formed in this way.



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