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Richa Nandra, Lovely Professional University                         Unit 12: General Convergence Theorems





                     Unit 12: General Convergence Theorems                                      Notes


            CONTENTS
            Objectives
            Introduction
            12.1 General Convergence Theorems
                 12.1.1  Convergence almost Everywhere

                 12.1.2  Pointwise Convergence
                 12.1.3  Uniform Convergence, Almost Everywhere (a.e.)
                 12.1.4  Bounded Convergence Theorem
                 12.1.5  Fatou’s Lemma
                 12.1.6  Monotone Convergence Theorem
                 12.1.7  Lebesgue Dominated Convergence Theorem
            12.2 Summary

            12.3 Keywords
            12.4 Review Questions
            12.5 Further Readings

          Objectives

          After studying this unit, you will be able to:
              Understand bounded convergence theorem.

              State and prove monotone convergence theorem and Lebesgue dominated convergence
               theorem.
              Solve related problems on these theorems.

          Introduction


          Convergence of a sequence of functions can be defined in various ways and there are situations
          in which  each of these definitions  is natural and useful. In this  unit, we  shall study  about
          convergence almost  everywhere, pointwise and uniform convergence. We  shall also prove
          bounded  convergence theorem and monotone convergence theorem  which are so useful in
          solving problems on convergence.  The dominated convergence theorem is one  of the  most
          important results of Lebesgue’s integration theory. It gives a general sufficient condition for the
          validity of proceeding to the limit of a sequence of functions under the integral sign. It is an
          invaluable tool to study functions defined by integrals.

          12.1 General Convergence Theorems


          12.1.1 Convergence almost Everywhere

          Let <f > be a sequence of measurable functions defined over a measurable set E. Then <f > is said
               n                                                               n
          to converge almost everywhere in E if there exists a subset E  of E s.t.
                                                           0


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