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Measure Theory and Functional Analysis




                    Notes             A complete normed linear space is also called Banach space.
                                                   p
                                      The normed L -spaces are complete for (p   1).
                                                                                    p
                                                                 p
                                      A convergent sequence <f > in L -spaces has a limit in L -space.
                                                            n
                                      A normed linear space is complete iff every absolutely summable sequence is summable.
                                      In a normed linear space, every convergent sequence is a Cauchy sequence.

                                   7.3 Keywords

                                   Banach Space: A complete normed linear space is also called Banach space.
                                   Cauchy Sequence: A sequence <x > in a normal linear space (X,    .   ) is said to be a  Cauchy
                                                              n
                                   sequence if for arbitrary   > 0,  n    N s.t.
                                                              0
                                                               x  – x    <  ,    n, m   n .
                                                                n  m               0
                                   Complete Normed Linear Space: A normed linear space (X,    .   ) is said to be complete if every
                                   Cauchy sequence <x > in it converges to an element x   X.
                                                   n
                                   Convergence almost Everywhere: Let <f > be a sequence of measurable functions defined over a
                                                                  n
                                   measurable set E. Then <f > is said to converge almost everywhere in E if there exists a subset E
                                                       n                                                      o
                                   of E s.t.
                                       (i) f  (x)   f (x),    x   E – E .
                                          n                   o
                                   and (ii) m (E ) = 0.
                                              o
                                   Convergent Sequence: A sequence <x > in a normal linear space X with norm    .    is said to
                                                                 n
                                   converge to an element x   X if for arbitrary  > 0, however small,  n   N such that  x  – x   <
                                                                                          0              n
                                    ,    n > n .
                                           0
                                   Then we write  lim x  x .
                                               n   n
                                   Normed Linear Space: A linear space N together with a norm defined on it, i.e., the pair (N,     )
                                   is called a normed linear space.


                                   Summable Series: A series   u n  in N  is said to be summable to a sum u if u   N  and lim S  u ,
                                                                1
                                                                                                  1
                                                                                                      n   n
                                                        n 1
                                   where
                                                                 S  = u  + u  + … + u
                                                                  n  1   2      n
                                   7.4 Review Questions


                                                  n
                                   1.  Prove that    is complete.
                                                  p
                                   2.  Prove that the vector space L  equipped with    is a complete vector space.
                                                                               L
                                   3.  Suppose f   L  is supported on a set of finite measure.
                                       Then f   L  for all p <  , and
                                                p
                                           f      f   as p    .
                                             L      L





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