$f_n$ absolutely continuous converging pointwise to $f$. Is $f$ of bounded variation and/or absolutely continuous?

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I'm trying to solve the following problem:

$f_n:[a,b] to mathbbR$ sequence of absolutely continuous functions converging pointwise to $f: [a,b] to mathbbR$. Say if $f$ is of bounded variation and/or absolutely continuous if:

a) $exists C : int_a^b |f_n'(x)|dx leq C ; forall n$

b) $exists g in L^1((a,b)): |f_n'| leq g text a.e. in (a,b) ; forall n$



My attempt:



Consider $a = x_0 < x_1 < cdots < x_N = b$.

Since $f_n$ are absolutely continuous, we have:
$$
f_n(x_j)-f_n(x_j-1) = int_x_j-1^x_j f_n'(t)dt
$$
$$
|f(x_j) - f(x_j-1)| = lim_n to infty |f_n(x_j)-f_n(x_j-1)| leq lim_n to infty int_x_j-1^x_j |f_n'(t)|dt \
implies sum_j=1^N|f(x_j) - f(x_j-1)| leq lim_n to infty sum_j=1^N int_x_j-1^x_j |f_n'(t)|dt = lim_n to infty int_a^b |f_n'(t)|dt
$$
Then, both $(a)$ and $(b)$ imply $f$ of bounded variation, since:
$$
(a) implies int_a^b |f_n'(t)|dt leq C \
(b) implies int_a^b |f_n'(t)|dt leq int_a^b g(t)dt < infty
$$
Is this right? However, I do not know how to proceed for the absolute continuity of $f$.
Can someone help? Thank you










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    up vote
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    I'm trying to solve the following problem:

    $f_n:[a,b] to mathbbR$ sequence of absolutely continuous functions converging pointwise to $f: [a,b] to mathbbR$. Say if $f$ is of bounded variation and/or absolutely continuous if:

    a) $exists C : int_a^b |f_n'(x)|dx leq C ; forall n$

    b) $exists g in L^1((a,b)): |f_n'| leq g text a.e. in (a,b) ; forall n$



    My attempt:



    Consider $a = x_0 < x_1 < cdots < x_N = b$.

    Since $f_n$ are absolutely continuous, we have:
    $$
    f_n(x_j)-f_n(x_j-1) = int_x_j-1^x_j f_n'(t)dt
    $$
    $$
    |f(x_j) - f(x_j-1)| = lim_n to infty |f_n(x_j)-f_n(x_j-1)| leq lim_n to infty int_x_j-1^x_j |f_n'(t)|dt \
    implies sum_j=1^N|f(x_j) - f(x_j-1)| leq lim_n to infty sum_j=1^N int_x_j-1^x_j |f_n'(t)|dt = lim_n to infty int_a^b |f_n'(t)|dt
    $$
    Then, both $(a)$ and $(b)$ imply $f$ of bounded variation, since:
    $$
    (a) implies int_a^b |f_n'(t)|dt leq C \
    (b) implies int_a^b |f_n'(t)|dt leq int_a^b g(t)dt < infty
    $$
    Is this right? However, I do not know how to proceed for the absolute continuity of $f$.
    Can someone help? Thank you










    share|cite|improve this question























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      I'm trying to solve the following problem:

      $f_n:[a,b] to mathbbR$ sequence of absolutely continuous functions converging pointwise to $f: [a,b] to mathbbR$. Say if $f$ is of bounded variation and/or absolutely continuous if:

      a) $exists C : int_a^b |f_n'(x)|dx leq C ; forall n$

      b) $exists g in L^1((a,b)): |f_n'| leq g text a.e. in (a,b) ; forall n$



      My attempt:



      Consider $a = x_0 < x_1 < cdots < x_N = b$.

      Since $f_n$ are absolutely continuous, we have:
      $$
      f_n(x_j)-f_n(x_j-1) = int_x_j-1^x_j f_n'(t)dt
      $$
      $$
      |f(x_j) - f(x_j-1)| = lim_n to infty |f_n(x_j)-f_n(x_j-1)| leq lim_n to infty int_x_j-1^x_j |f_n'(t)|dt \
      implies sum_j=1^N|f(x_j) - f(x_j-1)| leq lim_n to infty sum_j=1^N int_x_j-1^x_j |f_n'(t)|dt = lim_n to infty int_a^b |f_n'(t)|dt
      $$
      Then, both $(a)$ and $(b)$ imply $f$ of bounded variation, since:
      $$
      (a) implies int_a^b |f_n'(t)|dt leq C \
      (b) implies int_a^b |f_n'(t)|dt leq int_a^b g(t)dt < infty
      $$
      Is this right? However, I do not know how to proceed for the absolute continuity of $f$.
      Can someone help? Thank you










      share|cite|improve this question













      I'm trying to solve the following problem:

      $f_n:[a,b] to mathbbR$ sequence of absolutely continuous functions converging pointwise to $f: [a,b] to mathbbR$. Say if $f$ is of bounded variation and/or absolutely continuous if:

      a) $exists C : int_a^b |f_n'(x)|dx leq C ; forall n$

      b) $exists g in L^1((a,b)): |f_n'| leq g text a.e. in (a,b) ; forall n$



      My attempt:



      Consider $a = x_0 < x_1 < cdots < x_N = b$.

      Since $f_n$ are absolutely continuous, we have:
      $$
      f_n(x_j)-f_n(x_j-1) = int_x_j-1^x_j f_n'(t)dt
      $$
      $$
      |f(x_j) - f(x_j-1)| = lim_n to infty |f_n(x_j)-f_n(x_j-1)| leq lim_n to infty int_x_j-1^x_j |f_n'(t)|dt \
      implies sum_j=1^N|f(x_j) - f(x_j-1)| leq lim_n to infty sum_j=1^N int_x_j-1^x_j |f_n'(t)|dt = lim_n to infty int_a^b |f_n'(t)|dt
      $$
      Then, both $(a)$ and $(b)$ imply $f$ of bounded variation, since:
      $$
      (a) implies int_a^b |f_n'(t)|dt leq C \
      (b) implies int_a^b |f_n'(t)|dt leq int_a^b g(t)dt < infty
      $$
      Is this right? However, I do not know how to proceed for the absolute continuity of $f$.
      Can someone help? Thank you







      real-analysis functional-analysis measure-theory bounded-variation absolute-continuity






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      asked Sep 7 at 10:27









      user3669039

      667




      667




















          2 Answers
          2






          active

          oldest

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          up vote
          1
          down vote



          accepted










          Hints: For (a), consider $f_n(x)=x^n$ on $[0,1]$. For (b), you need to use very similar arguments as above, just with intervals whose length sum $|I|$ is small, and remember that the Lebesgue integral is absolutely continuous, i.e. for all $epsilon>0$ you can find $delta>0$ such that $|I|<delta$ implies $int_I g(t)dt<epsilon$.






          share|cite|improve this answer




















          • your comment was really helpful, it led me to the answer provided by Kavi Rama Murthy, thank you.
            – user3669039
            Sep 7 at 11:46










          • Following your hint: $f_n(x) = x^n$ is a sequence of absolutely continuous functions satisfying (a) that converges to a function that is discontinuous (hence cannot be absolutely continuous).
            – user3669039
            Sep 7 at 11:52










          • Yes. If you want an example with a continuous-but-not-absolutely continuous limit function, use an approximation sequence for the devils's staircase / Cantor function instead.
            – Kusma
            Sep 7 at 12:01

















          up vote
          2
          down vote













          A little bit of measure theory easily gives absolute continuity of $f$. We have $sum |f_n(y_i)-f_n(x_i)|=|int _x_i^y_i f_n'(t) dt| leq int _x_i^y_i g(t) dt$. Now use the fact that given $epsilon >0$ there exist $delta >0$ such that $int_A g(t), dt <epsilon$ whenever $m(A) <delta$ where $m$ is Lebesgue measure. Take $A$ to be union of the intervals $(x_i,y_i)$. You will get uniform absolute continuity of the $f_n$'s from this and letting $n to infty$ completes the proof.






          share|cite|improve this answer




















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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            1
            down vote



            accepted










            Hints: For (a), consider $f_n(x)=x^n$ on $[0,1]$. For (b), you need to use very similar arguments as above, just with intervals whose length sum $|I|$ is small, and remember that the Lebesgue integral is absolutely continuous, i.e. for all $epsilon>0$ you can find $delta>0$ such that $|I|<delta$ implies $int_I g(t)dt<epsilon$.






            share|cite|improve this answer




















            • your comment was really helpful, it led me to the answer provided by Kavi Rama Murthy, thank you.
              – user3669039
              Sep 7 at 11:46










            • Following your hint: $f_n(x) = x^n$ is a sequence of absolutely continuous functions satisfying (a) that converges to a function that is discontinuous (hence cannot be absolutely continuous).
              – user3669039
              Sep 7 at 11:52










            • Yes. If you want an example with a continuous-but-not-absolutely continuous limit function, use an approximation sequence for the devils's staircase / Cantor function instead.
              – Kusma
              Sep 7 at 12:01














            up vote
            1
            down vote



            accepted










            Hints: For (a), consider $f_n(x)=x^n$ on $[0,1]$. For (b), you need to use very similar arguments as above, just with intervals whose length sum $|I|$ is small, and remember that the Lebesgue integral is absolutely continuous, i.e. for all $epsilon>0$ you can find $delta>0$ such that $|I|<delta$ implies $int_I g(t)dt<epsilon$.






            share|cite|improve this answer




















            • your comment was really helpful, it led me to the answer provided by Kavi Rama Murthy, thank you.
              – user3669039
              Sep 7 at 11:46










            • Following your hint: $f_n(x) = x^n$ is a sequence of absolutely continuous functions satisfying (a) that converges to a function that is discontinuous (hence cannot be absolutely continuous).
              – user3669039
              Sep 7 at 11:52










            • Yes. If you want an example with a continuous-but-not-absolutely continuous limit function, use an approximation sequence for the devils's staircase / Cantor function instead.
              – Kusma
              Sep 7 at 12:01












            up vote
            1
            down vote



            accepted







            up vote
            1
            down vote



            accepted






            Hints: For (a), consider $f_n(x)=x^n$ on $[0,1]$. For (b), you need to use very similar arguments as above, just with intervals whose length sum $|I|$ is small, and remember that the Lebesgue integral is absolutely continuous, i.e. for all $epsilon>0$ you can find $delta>0$ such that $|I|<delta$ implies $int_I g(t)dt<epsilon$.






            share|cite|improve this answer












            Hints: For (a), consider $f_n(x)=x^n$ on $[0,1]$. For (b), you need to use very similar arguments as above, just with intervals whose length sum $|I|$ is small, and remember that the Lebesgue integral is absolutely continuous, i.e. for all $epsilon>0$ you can find $delta>0$ such that $|I|<delta$ implies $int_I g(t)dt<epsilon$.







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Sep 7 at 11:13









            Kusma

            3,415218




            3,415218











            • your comment was really helpful, it led me to the answer provided by Kavi Rama Murthy, thank you.
              – user3669039
              Sep 7 at 11:46










            • Following your hint: $f_n(x) = x^n$ is a sequence of absolutely continuous functions satisfying (a) that converges to a function that is discontinuous (hence cannot be absolutely continuous).
              – user3669039
              Sep 7 at 11:52










            • Yes. If you want an example with a continuous-but-not-absolutely continuous limit function, use an approximation sequence for the devils's staircase / Cantor function instead.
              – Kusma
              Sep 7 at 12:01
















            • your comment was really helpful, it led me to the answer provided by Kavi Rama Murthy, thank you.
              – user3669039
              Sep 7 at 11:46










            • Following your hint: $f_n(x) = x^n$ is a sequence of absolutely continuous functions satisfying (a) that converges to a function that is discontinuous (hence cannot be absolutely continuous).
              – user3669039
              Sep 7 at 11:52










            • Yes. If you want an example with a continuous-but-not-absolutely continuous limit function, use an approximation sequence for the devils's staircase / Cantor function instead.
              – Kusma
              Sep 7 at 12:01















            your comment was really helpful, it led me to the answer provided by Kavi Rama Murthy, thank you.
            – user3669039
            Sep 7 at 11:46




            your comment was really helpful, it led me to the answer provided by Kavi Rama Murthy, thank you.
            – user3669039
            Sep 7 at 11:46












            Following your hint: $f_n(x) = x^n$ is a sequence of absolutely continuous functions satisfying (a) that converges to a function that is discontinuous (hence cannot be absolutely continuous).
            – user3669039
            Sep 7 at 11:52




            Following your hint: $f_n(x) = x^n$ is a sequence of absolutely continuous functions satisfying (a) that converges to a function that is discontinuous (hence cannot be absolutely continuous).
            – user3669039
            Sep 7 at 11:52












            Yes. If you want an example with a continuous-but-not-absolutely continuous limit function, use an approximation sequence for the devils's staircase / Cantor function instead.
            – Kusma
            Sep 7 at 12:01




            Yes. If you want an example with a continuous-but-not-absolutely continuous limit function, use an approximation sequence for the devils's staircase / Cantor function instead.
            – Kusma
            Sep 7 at 12:01










            up vote
            2
            down vote













            A little bit of measure theory easily gives absolute continuity of $f$. We have $sum |f_n(y_i)-f_n(x_i)|=|int _x_i^y_i f_n'(t) dt| leq int _x_i^y_i g(t) dt$. Now use the fact that given $epsilon >0$ there exist $delta >0$ such that $int_A g(t), dt <epsilon$ whenever $m(A) <delta$ where $m$ is Lebesgue measure. Take $A$ to be union of the intervals $(x_i,y_i)$. You will get uniform absolute continuity of the $f_n$'s from this and letting $n to infty$ completes the proof.






            share|cite|improve this answer
























              up vote
              2
              down vote













              A little bit of measure theory easily gives absolute continuity of $f$. We have $sum |f_n(y_i)-f_n(x_i)|=|int _x_i^y_i f_n'(t) dt| leq int _x_i^y_i g(t) dt$. Now use the fact that given $epsilon >0$ there exist $delta >0$ such that $int_A g(t), dt <epsilon$ whenever $m(A) <delta$ where $m$ is Lebesgue measure. Take $A$ to be union of the intervals $(x_i,y_i)$. You will get uniform absolute continuity of the $f_n$'s from this and letting $n to infty$ completes the proof.






              share|cite|improve this answer






















                up vote
                2
                down vote










                up vote
                2
                down vote









                A little bit of measure theory easily gives absolute continuity of $f$. We have $sum |f_n(y_i)-f_n(x_i)|=|int _x_i^y_i f_n'(t) dt| leq int _x_i^y_i g(t) dt$. Now use the fact that given $epsilon >0$ there exist $delta >0$ such that $int_A g(t), dt <epsilon$ whenever $m(A) <delta$ where $m$ is Lebesgue measure. Take $A$ to be union of the intervals $(x_i,y_i)$. You will get uniform absolute continuity of the $f_n$'s from this and letting $n to infty$ completes the proof.






                share|cite|improve this answer












                A little bit of measure theory easily gives absolute continuity of $f$. We have $sum |f_n(y_i)-f_n(x_i)|=|int _x_i^y_i f_n'(t) dt| leq int _x_i^y_i g(t) dt$. Now use the fact that given $epsilon >0$ there exist $delta >0$ such that $int_A g(t), dt <epsilon$ whenever $m(A) <delta$ where $m$ is Lebesgue measure. Take $A$ to be union of the intervals $(x_i,y_i)$. You will get uniform absolute continuity of the $f_n$'s from this and letting $n to infty$ completes the proof.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Sep 7 at 11:43









                Kavi Rama Murthy

                26.7k31438




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