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Sachin Kaushal, Lovely Professional University                                 Unit 10: Linear Functionals





                              Unit 10: Linear Functionals                                       Notes


            CONTENTS
            Objectives
            Introduction

            10.1 Linear Functionals
            10.2 System of Linear Equations
            10.3 Summary

            10.4 Keywords
            10.5 Review Questions
            10.6 Further Readings

          Objectives

          After studying this unit, you will be able to:

              Understand in a better way the discussion of subspaces, linear equations and co-ordinates.
              See that a few examples of linear functional cited in this unit.
              Know the concept of dual basic vectors for the dual vector space V*.

              See that how to obtain the basis of the dual spaces which is done by examples.
          Introduction


          The concept of linear function is important in the study of finite dimensional spaces because the
          linear functional method helps to organize and clarify the discussion of subspaces.
          The method is illustrated by means of a few theorems and a few solved examples.

          10.1 Linear Functionals


          If V is a vector space over the field F, a linear transformation f from V into the scalar field F is also
          called a linear functional on V. If we start from scratch, this means that f is a function from V into
          F such that
                                        f .(c  ) cf  ( )  f ( )

          for all vectors   and   in V and all scalars c in F. The concept of linear functional is important in
          the study of finite-dimensional spaces because it helps to organize and clarify the discussion of
          subspaces, linear equations, and coordinates.


                 Example 1: Let F be a field and let a , ..., a  be scalars in F. Define a function f on F  by
                                                                                  n
                                             1    n
                                       ( ,...,x
                                      f x 1  n ) a x  ... a x
                                                 1 1
                                                        n n
          Then f is a linear functional on F . It is the linear functional which is represented by the matrix
                                    n
                                                   n
          [a  ... a ] relative to the standard ordered basis for F  and the basis {1} for F:
           1   n
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