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Unit 31: The Integral of a Non-negative Function




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          (6)          A ò  (f g) +  A ò  f +  A ò  g =  A ò  (f g) +  A ò  f +  A ò  g ,       Notes
          which will be true if we can show
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                           +
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                                  –
          (7)          (f + g)  + f + g  = (f + g)  + f  + g +
          a.e. on A because we can then use linearity of Section 3 to conclude that (6) is true. But (7) is
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          clearly true a.e., because (f + g)  – (f + g)  = f + g = f – f + g  – g  a.e., all terms being finite a.e. This
          completes our proof.
          Finally we prove the important Generalized Lebesgue Dominated Convergence Theorem.
          Theorem 3: If {f }, {g } are sequences of measurable functions defined on E, |f | £ g , f =  lim f , g
                      n   n                                            n   n    n  n
          =  liminf g  and  lim ò E  g =  E ò  g <  , then  lim ò E  f  exists and is equal to  ò  f .
                   n
                              n
                                                 n
             n        n                 n                      E
          Proof: Since |f | £ g  implies g  ± f  are non-negative measurable, we see that
                     n    n        n  n
                                             £
                                                                +
                                                                       E ò
                       E ò  g +  E ò  f =  E ò  liminf(g + f ) liminf (g +  f ) =  E ò  g liminf f n
                                                    E ò
                                           n
                                        n
                                                      n
                                                         n
                                  n          n                n  
          and similarly
                                            £
                                                               +
                                                                      E ò
                                                   E ò
                       E ò  g -  E ò  f =  E ò  liminf(g -  f ) liminf (g - f ) =  E ò  g liminf f n
                                                      n
                                                         n
                                          n
                                       n
                                  n          n               n
          So  f £  liminf  E ò  f £  limsup f  (note here we used the assumption that  g <  ) and the desired
             E ò
                                 E ò
                                                                    E ò
                        n
                  n
                            n
          conclusion follows.
          Corollary: Lebsegue Dominated Convergence Theorem
          Suppose a sequence of measurable functions {f } defined on E converges pointwisely a.e. on E to
                                               n
          f. If|f | £ g on E for some integrable function g, then  ò  f n  converges to  f .
                                                                     E ò
               n                                      E
          A final word of remark: The idea of this section extends readily to complex-valued functions,
          and the readers who are familar with general measure theory should find that the results in the
          whole unit is valid on a general measure space without needing the slightest modification.
          Self Assessment
          Fill in the blanks:
          1.   For a non-negative measurable function f : E  [0, ] (where E is a set which may be of
               finite or infinite measure), we define .................................... .
          2.   For non-negative ................................ vanishing outside a set of finite measure, this definition
               agrees with the old one. Also note that we allow the functions to take infinite value here.
          3.   Suppose {f } is a sequence of non-negative measurable functions defined on E and {f }
                        n                                                            n
               converges (pointwisely) to a .................................. f a.e. on E. Then   f £  lim inf f .
                                                                              E ò
                                                                    E ò
                                                                        n    n
          4.   If {f } is an ..................................... of  non-negative measurable functions  defined on  E
                  n
               (increasing in the sense that f  £ f  for all n on E) and f   f a.e. on E, then  ò  f ­  f  by
                                       n  n+1               n                 E  n  E ò
               which it means {j f } is an increasing sequence with limit  ò  f .
                             E  n                             E
          5.   A ................................. f defined on E is integrable if and only if  |f|<   so.
                                                                  E ò
          6.   For any f,g Î (E) and A  E, we have  ò  (f g) =  A ò  f +  A ò  g  and  ò  =   f . Furthermore,
                                                  +
                                                                    f
                                               A                  A      A ò
               if f £ g a.e. on A then ................................... .
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