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Null Spaces and Ranges
                         A linear map T : V → W is called injective if whenever u, v ∈ V
                                                                                          use the term
                      and Tu = Tv, we have u = v. The next proposition says that we
                      can check whether a linear map is injective by checking whether 0 is  Many mathematicians 43
                                                                                          one-to-one, which
                      the only vector that gets mapped to 0. As a simple application of this  means the same as
                      proposition, we see that of the three linear maps whose null spaces we  injective.
                                                                                      2
                      computed earlier in this section (differentiation, multiplication by x ,
                                                                2
                      and backward shift), only multiplication by x is injective.
                      3.2    Proposition: Let T ∈L(V, W). Then T is injective if and only
                      if null T ={0}.
                         Proof:   First suppose that T is injective. We want to prove that
                      null T ={0}. We already know that {0}⊂ null T (by 3.1). To prove the
                      inclusion in the other direction, suppose v ∈ null T. Then

                                               T(v) = 0 = T(0).
                      Because T is injective, the equation above implies that v = 0. Thus
                      null T ={0}, as desired.
                         To prove the implication in the other direction, now suppose that
                      null T ={0}. We want to prove that T is injective. To do this, suppose
                      u, v ∈ V and Tu = Tv. Then

                                           0 = Tu − Tv = T(u − v).
                      Thus u − v is in null T, which equals {0}. Hence u − v = 0, which
                      implies that u = v. Hence T is injective, as desired.

                         For T ∈L(V, W), the range of T, denoted range T, is the subset of  Some mathematicians
                      W consisting of those vectors that are of the form Tv for some v ∈ V:  use the word image,
                                                                                          which means the same
                                            range T ={Tv : v ∈ V}.
                                                                                          as range.
                      For example, if T ∈L(P(R), P(R)) is the differentiation map defined by
                      Tp = p , then range T =P(R) because for every polynomial q ∈P(R)

                      there exists a polynomial p ∈P(R) such that p = q.

                         As another example, if T ∈L(P(R), P(R)) is the linear map of
                                                                  2
                                         2
                      multiplication by x defined by (Tp)(x) = x p(x), then the range
                                                                               m
                                                                 2
                      of T is the set of polynomials of the form a 2 x +· · ·+ a m x , where
                      a 2 ,...,a m ∈ R.
                         The next proposition shows that the range of any linear map is a
                      subspace of the target space.
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