Term by term integration.











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How do I go about proving this statement?



If $$sum_{k=1}^infty f_k(x)$$is a series of nonnegative measurable functions and $$sum_{k=1}^infty left(int_Ef_k(x)dxright)$$ converges, then $$sum_
{k=1}^infty f_k(x)$$
converges almost everywhere and $$int_Eleft(sum_{k=1}^infty f_k(x)right)dx=sum_{k=1}^inftyleft(int_E f_k(x)dxright)$$










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  • When asking questions here it is important to describe some of your effort in attacking the problem. I'll a partial answer and leave something for you to finish.
    – RRL
    Nov 28 at 7:44















up vote
0
down vote

favorite












How do I go about proving this statement?



If $$sum_{k=1}^infty f_k(x)$$is a series of nonnegative measurable functions and $$sum_{k=1}^infty left(int_Ef_k(x)dxright)$$ converges, then $$sum_
{k=1}^infty f_k(x)$$
converges almost everywhere and $$int_Eleft(sum_{k=1}^infty f_k(x)right)dx=sum_{k=1}^inftyleft(int_E f_k(x)dxright)$$










share|cite|improve this question






















  • When asking questions here it is important to describe some of your effort in attacking the problem. I'll a partial answer and leave something for you to finish.
    – RRL
    Nov 28 at 7:44













up vote
0
down vote

favorite









up vote
0
down vote

favorite











How do I go about proving this statement?



If $$sum_{k=1}^infty f_k(x)$$is a series of nonnegative measurable functions and $$sum_{k=1}^infty left(int_Ef_k(x)dxright)$$ converges, then $$sum_
{k=1}^infty f_k(x)$$
converges almost everywhere and $$int_Eleft(sum_{k=1}^infty f_k(x)right)dx=sum_{k=1}^inftyleft(int_E f_k(x)dxright)$$










share|cite|improve this question













How do I go about proving this statement?



If $$sum_{k=1}^infty f_k(x)$$is a series of nonnegative measurable functions and $$sum_{k=1}^infty left(int_Ef_k(x)dxright)$$ converges, then $$sum_
{k=1}^infty f_k(x)$$
converges almost everywhere and $$int_Eleft(sum_{k=1}^infty f_k(x)right)dx=sum_{k=1}^inftyleft(int_E f_k(x)dxright)$$







measure-theory lebesgue-integral






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asked Nov 28 at 0:39









ICanMakeYouHateME

154




154












  • When asking questions here it is important to describe some of your effort in attacking the problem. I'll a partial answer and leave something for you to finish.
    – RRL
    Nov 28 at 7:44


















  • When asking questions here it is important to describe some of your effort in attacking the problem. I'll a partial answer and leave something for you to finish.
    – RRL
    Nov 28 at 7:44
















When asking questions here it is important to describe some of your effort in attacking the problem. I'll a partial answer and leave something for you to finish.
– RRL
Nov 28 at 7:44




When asking questions here it is important to describe some of your effort in attacking the problem. I'll a partial answer and leave something for you to finish.
– RRL
Nov 28 at 7:44










1 Answer
1






active

oldest

votes

















up vote
1
down vote



accepted










We have for each $x in E$ the convergence of partial sums as $n to infty$ according to



$$sum_{k=1}^n f_k(x) uparrow sum_{k=1}^infty f_k(x) leqslant +infty$$




Why is it true that the sequence of partial sums is non-decreasing and
must always converge to a possibly extended nonnegative real number?




By the monotone convergence theorem,



$$sum_{k=1}^inftyint_E f_k(x) , dx = lim_{n to infty}sum_{k=1}^n int_E f_k(x) , dx = lim_{n to infty} int_E sum_{k=1}^nf_k(x) , dx = int_E sum_{k=1}^infty f_k(x), dx$$



We are given that the series on the LHS converges, and it follows that



$$int_E sum_{k=1}^infty f_k(x), dx < +infty$$




What does this tell you about $ sum_{k=1}^infty f_k(x)$?







share|cite|improve this answer























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    1 Answer
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    1 Answer
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    up vote
    1
    down vote



    accepted










    We have for each $x in E$ the convergence of partial sums as $n to infty$ according to



    $$sum_{k=1}^n f_k(x) uparrow sum_{k=1}^infty f_k(x) leqslant +infty$$




    Why is it true that the sequence of partial sums is non-decreasing and
    must always converge to a possibly extended nonnegative real number?




    By the monotone convergence theorem,



    $$sum_{k=1}^inftyint_E f_k(x) , dx = lim_{n to infty}sum_{k=1}^n int_E f_k(x) , dx = lim_{n to infty} int_E sum_{k=1}^nf_k(x) , dx = int_E sum_{k=1}^infty f_k(x), dx$$



    We are given that the series on the LHS converges, and it follows that



    $$int_E sum_{k=1}^infty f_k(x), dx < +infty$$




    What does this tell you about $ sum_{k=1}^infty f_k(x)$?







    share|cite|improve this answer



























      up vote
      1
      down vote



      accepted










      We have for each $x in E$ the convergence of partial sums as $n to infty$ according to



      $$sum_{k=1}^n f_k(x) uparrow sum_{k=1}^infty f_k(x) leqslant +infty$$




      Why is it true that the sequence of partial sums is non-decreasing and
      must always converge to a possibly extended nonnegative real number?




      By the monotone convergence theorem,



      $$sum_{k=1}^inftyint_E f_k(x) , dx = lim_{n to infty}sum_{k=1}^n int_E f_k(x) , dx = lim_{n to infty} int_E sum_{k=1}^nf_k(x) , dx = int_E sum_{k=1}^infty f_k(x), dx$$



      We are given that the series on the LHS converges, and it follows that



      $$int_E sum_{k=1}^infty f_k(x), dx < +infty$$




      What does this tell you about $ sum_{k=1}^infty f_k(x)$?







      share|cite|improve this answer

























        up vote
        1
        down vote



        accepted







        up vote
        1
        down vote



        accepted






        We have for each $x in E$ the convergence of partial sums as $n to infty$ according to



        $$sum_{k=1}^n f_k(x) uparrow sum_{k=1}^infty f_k(x) leqslant +infty$$




        Why is it true that the sequence of partial sums is non-decreasing and
        must always converge to a possibly extended nonnegative real number?




        By the monotone convergence theorem,



        $$sum_{k=1}^inftyint_E f_k(x) , dx = lim_{n to infty}sum_{k=1}^n int_E f_k(x) , dx = lim_{n to infty} int_E sum_{k=1}^nf_k(x) , dx = int_E sum_{k=1}^infty f_k(x), dx$$



        We are given that the series on the LHS converges, and it follows that



        $$int_E sum_{k=1}^infty f_k(x), dx < +infty$$




        What does this tell you about $ sum_{k=1}^infty f_k(x)$?







        share|cite|improve this answer














        We have for each $x in E$ the convergence of partial sums as $n to infty$ according to



        $$sum_{k=1}^n f_k(x) uparrow sum_{k=1}^infty f_k(x) leqslant +infty$$




        Why is it true that the sequence of partial sums is non-decreasing and
        must always converge to a possibly extended nonnegative real number?




        By the monotone convergence theorem,



        $$sum_{k=1}^inftyint_E f_k(x) , dx = lim_{n to infty}sum_{k=1}^n int_E f_k(x) , dx = lim_{n to infty} int_E sum_{k=1}^nf_k(x) , dx = int_E sum_{k=1}^infty f_k(x), dx$$



        We are given that the series on the LHS converges, and it follows that



        $$int_E sum_{k=1}^infty f_k(x), dx < +infty$$




        What does this tell you about $ sum_{k=1}^infty f_k(x)$?








        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Nov 28 at 7:50

























        answered Nov 28 at 7:41









        RRL

        48.3k42573




        48.3k42573






























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