Proof that a Fourier transform is integrable

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So given a integrable function $f colon mathbbR to mathbbR$, we define the function $$g colon mathbbR to mathbbR, quad x mapsto sup_epsilon>0 dfrac2epsilon$$ and we assume that $g in mathcalL^2(mathbbR)$. I now need to proof that the Fourier transform $mathscrF(f)$ is integrable.



The start of my proof is as follows:



Define $$g_epsilon colon mathbbR to mathbbR, quad x mapsto dfracf(x-epsilon)-f(x+epsilon)2epsilon$$ for every $epsilon > 0$.



We know that $g_epsilon(x) leq g(x) $ for every $x in mathbbR$ and $epsilon > 0$. Then I calculated the Fourier transform of $g_epsilon$
$$ mathscrF(g_epsilon)(t) = dfrac-iepsilon sin(2piepsilon t)mathscrF(f)(t)$$
But from this point, it get's a little tricky and I don't know if I'm correct, but I think that we can assume that $g$ is an integrable function and then we know that $| mathscrF(g) |_2 = | g |_2$.



Now, I want to let $epsilon to 0$ and then I think I'm really close to the solution, but I can't figure out how.







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  • $epsilon$ is only said to be larger than zero, I don't see any reason to make it tend towards zero by the end of the post. Also, it could be nice to avoid changing the variable $x$ to $t$ in the middle of the statement. I would suggest partitioning the fourier transform by intervals and assuming a specific $epsilon$ for each interval, then make those intervals tend to zero so you a have a sequence of functions that converge to $g$ in the integrand. This, however, is just a wild suggestion.
    – Mefitico
    Aug 27 at 13:39











  • If I did everything right, I think that I've proven that $(xmathscrF(f)(x))^2$ is integrable. For a periodic function $f$, I can now conclude that $mathscrF(f)(x)$ is integrable but does this also hold for any other integrable function $f$?
    – Mee98
    Aug 27 at 14:30














up vote
1
down vote

favorite












So given a integrable function $f colon mathbbR to mathbbR$, we define the function $$g colon mathbbR to mathbbR, quad x mapsto sup_epsilon>0 dfrac2epsilon$$ and we assume that $g in mathcalL^2(mathbbR)$. I now need to proof that the Fourier transform $mathscrF(f)$ is integrable.



The start of my proof is as follows:



Define $$g_epsilon colon mathbbR to mathbbR, quad x mapsto dfracf(x-epsilon)-f(x+epsilon)2epsilon$$ for every $epsilon > 0$.



We know that $g_epsilon(x) leq g(x) $ for every $x in mathbbR$ and $epsilon > 0$. Then I calculated the Fourier transform of $g_epsilon$
$$ mathscrF(g_epsilon)(t) = dfrac-iepsilon sin(2piepsilon t)mathscrF(f)(t)$$
But from this point, it get's a little tricky and I don't know if I'm correct, but I think that we can assume that $g$ is an integrable function and then we know that $| mathscrF(g) |_2 = | g |_2$.



Now, I want to let $epsilon to 0$ and then I think I'm really close to the solution, but I can't figure out how.







share|cite|improve this question






















  • $epsilon$ is only said to be larger than zero, I don't see any reason to make it tend towards zero by the end of the post. Also, it could be nice to avoid changing the variable $x$ to $t$ in the middle of the statement. I would suggest partitioning the fourier transform by intervals and assuming a specific $epsilon$ for each interval, then make those intervals tend to zero so you a have a sequence of functions that converge to $g$ in the integrand. This, however, is just a wild suggestion.
    – Mefitico
    Aug 27 at 13:39











  • If I did everything right, I think that I've proven that $(xmathscrF(f)(x))^2$ is integrable. For a periodic function $f$, I can now conclude that $mathscrF(f)(x)$ is integrable but does this also hold for any other integrable function $f$?
    – Mee98
    Aug 27 at 14:30












up vote
1
down vote

favorite









up vote
1
down vote

favorite











So given a integrable function $f colon mathbbR to mathbbR$, we define the function $$g colon mathbbR to mathbbR, quad x mapsto sup_epsilon>0 dfrac2epsilon$$ and we assume that $g in mathcalL^2(mathbbR)$. I now need to proof that the Fourier transform $mathscrF(f)$ is integrable.



The start of my proof is as follows:



Define $$g_epsilon colon mathbbR to mathbbR, quad x mapsto dfracf(x-epsilon)-f(x+epsilon)2epsilon$$ for every $epsilon > 0$.



We know that $g_epsilon(x) leq g(x) $ for every $x in mathbbR$ and $epsilon > 0$. Then I calculated the Fourier transform of $g_epsilon$
$$ mathscrF(g_epsilon)(t) = dfrac-iepsilon sin(2piepsilon t)mathscrF(f)(t)$$
But from this point, it get's a little tricky and I don't know if I'm correct, but I think that we can assume that $g$ is an integrable function and then we know that $| mathscrF(g) |_2 = | g |_2$.



Now, I want to let $epsilon to 0$ and then I think I'm really close to the solution, but I can't figure out how.







share|cite|improve this question














So given a integrable function $f colon mathbbR to mathbbR$, we define the function $$g colon mathbbR to mathbbR, quad x mapsto sup_epsilon>0 dfrac2epsilon$$ and we assume that $g in mathcalL^2(mathbbR)$. I now need to proof that the Fourier transform $mathscrF(f)$ is integrable.



The start of my proof is as follows:



Define $$g_epsilon colon mathbbR to mathbbR, quad x mapsto dfracf(x-epsilon)-f(x+epsilon)2epsilon$$ for every $epsilon > 0$.



We know that $g_epsilon(x) leq g(x) $ for every $x in mathbbR$ and $epsilon > 0$. Then I calculated the Fourier transform of $g_epsilon$
$$ mathscrF(g_epsilon)(t) = dfrac-iepsilon sin(2piepsilon t)mathscrF(f)(t)$$
But from this point, it get's a little tricky and I don't know if I'm correct, but I think that we can assume that $g$ is an integrable function and then we know that $| mathscrF(g) |_2 = | g |_2$.



Now, I want to let $epsilon to 0$ and then I think I'm really close to the solution, but I can't figure out how.









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edited Aug 27 at 13:34









Jendrik Stelzner

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asked Aug 27 at 13:30









Mee98

19010




19010











  • $epsilon$ is only said to be larger than zero, I don't see any reason to make it tend towards zero by the end of the post. Also, it could be nice to avoid changing the variable $x$ to $t$ in the middle of the statement. I would suggest partitioning the fourier transform by intervals and assuming a specific $epsilon$ for each interval, then make those intervals tend to zero so you a have a sequence of functions that converge to $g$ in the integrand. This, however, is just a wild suggestion.
    – Mefitico
    Aug 27 at 13:39











  • If I did everything right, I think that I've proven that $(xmathscrF(f)(x))^2$ is integrable. For a periodic function $f$, I can now conclude that $mathscrF(f)(x)$ is integrable but does this also hold for any other integrable function $f$?
    – Mee98
    Aug 27 at 14:30
















  • $epsilon$ is only said to be larger than zero, I don't see any reason to make it tend towards zero by the end of the post. Also, it could be nice to avoid changing the variable $x$ to $t$ in the middle of the statement. I would suggest partitioning the fourier transform by intervals and assuming a specific $epsilon$ for each interval, then make those intervals tend to zero so you a have a sequence of functions that converge to $g$ in the integrand. This, however, is just a wild suggestion.
    – Mefitico
    Aug 27 at 13:39











  • If I did everything right, I think that I've proven that $(xmathscrF(f)(x))^2$ is integrable. For a periodic function $f$, I can now conclude that $mathscrF(f)(x)$ is integrable but does this also hold for any other integrable function $f$?
    – Mee98
    Aug 27 at 14:30















$epsilon$ is only said to be larger than zero, I don't see any reason to make it tend towards zero by the end of the post. Also, it could be nice to avoid changing the variable $x$ to $t$ in the middle of the statement. I would suggest partitioning the fourier transform by intervals and assuming a specific $epsilon$ for each interval, then make those intervals tend to zero so you a have a sequence of functions that converge to $g$ in the integrand. This, however, is just a wild suggestion.
– Mefitico
Aug 27 at 13:39





$epsilon$ is only said to be larger than zero, I don't see any reason to make it tend towards zero by the end of the post. Also, it could be nice to avoid changing the variable $x$ to $t$ in the middle of the statement. I would suggest partitioning the fourier transform by intervals and assuming a specific $epsilon$ for each interval, then make those intervals tend to zero so you a have a sequence of functions that converge to $g$ in the integrand. This, however, is just a wild suggestion.
– Mefitico
Aug 27 at 13:39













If I did everything right, I think that I've proven that $(xmathscrF(f)(x))^2$ is integrable. For a periodic function $f$, I can now conclude that $mathscrF(f)(x)$ is integrable but does this also hold for any other integrable function $f$?
– Mee98
Aug 27 at 14:30




If I did everything right, I think that I've proven that $(xmathscrF(f)(x))^2$ is integrable. For a periodic function $f$, I can now conclude that $mathscrF(f)(x)$ is integrable but does this also hold for any other integrable function $f$?
– Mee98
Aug 27 at 14:30










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Actually, you have already solved the problem, but have not quite noticed it yet :)



Indeed, you have proven that $(xmathcalF(f)(x))^2$ is integrable. But, by a Cauchy-Schwarz inequality,



$$ int_mathbbRbackslash [-1,1] |mathcalF(f)(x)| , dx = int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)| times frac1 , dx $$



$$ le left( int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)|^2 , dx right)^1/2 times left( int_mathbbRbackslash [-1,1] frac1x^2, dx right)^1/2 < +infty.$$



So, it suffices to analyse the interval $[-1,1].$ But, as we assumed that $f in L^1(mathbbR)$, we get that $mathcalF(f)$ is continuous, and therefore bounded, in $[-1,1].$ This implies the required integrability of the Fourier transform.




On the other hand, we see that the integrability of $f$ is crucial. Indeed, one can show, by using elementary Sobolev space methods, that the condition that $g in L^2(mathbbR)$ is equivalent to $f$ having a (distributional) derivative $f' in L^2(mathbbR).$ Of course, one needs to make sense of $f$ having a distributional derivative, but this happens if, for instance, $f in mathcalS'(mathbbR).$



Proving that $g in L^2(mathbbR)$ implies $f in L^2(mathbbR)$ is standard, whereas the reverse implication follows from the fact that



$$ g(x) le M(f')(x), forall x in mathbbR,$$



where $M$ stands for the usual Hardy-Littlewood maximal function on the real line. As $M:L^2 to L^2$ boundedly, we are through.



To come up with a counterexample is not very difficult then: for any function $g$, continuous, of compact support and such that $int g ne 0,$ Let



$$G(t) = int_-infty^t g(x) , dx.$$



This function satisfies the hypotheses of the problem, but clearly, as $mathcalF(g)(x) sim int g$ for $x sim 0,$ then, as $G' = g Rightarrow mathcalF(G)(x) sim fracint gx$ for $x sim 0,$ which does not integrate.



Of course, this all can be made formal, but this is intended as a sketch to just illustrate how important it is that $G in L^1(mathbbR).$






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    1 Answer
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    1 Answer
    1






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    active

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    up vote
    1
    down vote



    accepted










    Actually, you have already solved the problem, but have not quite noticed it yet :)



    Indeed, you have proven that $(xmathcalF(f)(x))^2$ is integrable. But, by a Cauchy-Schwarz inequality,



    $$ int_mathbbRbackslash [-1,1] |mathcalF(f)(x)| , dx = int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)| times frac1 , dx $$



    $$ le left( int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)|^2 , dx right)^1/2 times left( int_mathbbRbackslash [-1,1] frac1x^2, dx right)^1/2 < +infty.$$



    So, it suffices to analyse the interval $[-1,1].$ But, as we assumed that $f in L^1(mathbbR)$, we get that $mathcalF(f)$ is continuous, and therefore bounded, in $[-1,1].$ This implies the required integrability of the Fourier transform.




    On the other hand, we see that the integrability of $f$ is crucial. Indeed, one can show, by using elementary Sobolev space methods, that the condition that $g in L^2(mathbbR)$ is equivalent to $f$ having a (distributional) derivative $f' in L^2(mathbbR).$ Of course, one needs to make sense of $f$ having a distributional derivative, but this happens if, for instance, $f in mathcalS'(mathbbR).$



    Proving that $g in L^2(mathbbR)$ implies $f in L^2(mathbbR)$ is standard, whereas the reverse implication follows from the fact that



    $$ g(x) le M(f')(x), forall x in mathbbR,$$



    where $M$ stands for the usual Hardy-Littlewood maximal function on the real line. As $M:L^2 to L^2$ boundedly, we are through.



    To come up with a counterexample is not very difficult then: for any function $g$, continuous, of compact support and such that $int g ne 0,$ Let



    $$G(t) = int_-infty^t g(x) , dx.$$



    This function satisfies the hypotheses of the problem, but clearly, as $mathcalF(g)(x) sim int g$ for $x sim 0,$ then, as $G' = g Rightarrow mathcalF(G)(x) sim fracint gx$ for $x sim 0,$ which does not integrate.



    Of course, this all can be made formal, but this is intended as a sketch to just illustrate how important it is that $G in L^1(mathbbR).$






    share|cite|improve this answer
























      up vote
      1
      down vote



      accepted










      Actually, you have already solved the problem, but have not quite noticed it yet :)



      Indeed, you have proven that $(xmathcalF(f)(x))^2$ is integrable. But, by a Cauchy-Schwarz inequality,



      $$ int_mathbbRbackslash [-1,1] |mathcalF(f)(x)| , dx = int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)| times frac1 , dx $$



      $$ le left( int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)|^2 , dx right)^1/2 times left( int_mathbbRbackslash [-1,1] frac1x^2, dx right)^1/2 < +infty.$$



      So, it suffices to analyse the interval $[-1,1].$ But, as we assumed that $f in L^1(mathbbR)$, we get that $mathcalF(f)$ is continuous, and therefore bounded, in $[-1,1].$ This implies the required integrability of the Fourier transform.




      On the other hand, we see that the integrability of $f$ is crucial. Indeed, one can show, by using elementary Sobolev space methods, that the condition that $g in L^2(mathbbR)$ is equivalent to $f$ having a (distributional) derivative $f' in L^2(mathbbR).$ Of course, one needs to make sense of $f$ having a distributional derivative, but this happens if, for instance, $f in mathcalS'(mathbbR).$



      Proving that $g in L^2(mathbbR)$ implies $f in L^2(mathbbR)$ is standard, whereas the reverse implication follows from the fact that



      $$ g(x) le M(f')(x), forall x in mathbbR,$$



      where $M$ stands for the usual Hardy-Littlewood maximal function on the real line. As $M:L^2 to L^2$ boundedly, we are through.



      To come up with a counterexample is not very difficult then: for any function $g$, continuous, of compact support and such that $int g ne 0,$ Let



      $$G(t) = int_-infty^t g(x) , dx.$$



      This function satisfies the hypotheses of the problem, but clearly, as $mathcalF(g)(x) sim int g$ for $x sim 0,$ then, as $G' = g Rightarrow mathcalF(G)(x) sim fracint gx$ for $x sim 0,$ which does not integrate.



      Of course, this all can be made formal, but this is intended as a sketch to just illustrate how important it is that $G in L^1(mathbbR).$






      share|cite|improve this answer






















        up vote
        1
        down vote



        accepted







        up vote
        1
        down vote



        accepted






        Actually, you have already solved the problem, but have not quite noticed it yet :)



        Indeed, you have proven that $(xmathcalF(f)(x))^2$ is integrable. But, by a Cauchy-Schwarz inequality,



        $$ int_mathbbRbackslash [-1,1] |mathcalF(f)(x)| , dx = int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)| times frac1 , dx $$



        $$ le left( int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)|^2 , dx right)^1/2 times left( int_mathbbRbackslash [-1,1] frac1x^2, dx right)^1/2 < +infty.$$



        So, it suffices to analyse the interval $[-1,1].$ But, as we assumed that $f in L^1(mathbbR)$, we get that $mathcalF(f)$ is continuous, and therefore bounded, in $[-1,1].$ This implies the required integrability of the Fourier transform.




        On the other hand, we see that the integrability of $f$ is crucial. Indeed, one can show, by using elementary Sobolev space methods, that the condition that $g in L^2(mathbbR)$ is equivalent to $f$ having a (distributional) derivative $f' in L^2(mathbbR).$ Of course, one needs to make sense of $f$ having a distributional derivative, but this happens if, for instance, $f in mathcalS'(mathbbR).$



        Proving that $g in L^2(mathbbR)$ implies $f in L^2(mathbbR)$ is standard, whereas the reverse implication follows from the fact that



        $$ g(x) le M(f')(x), forall x in mathbbR,$$



        where $M$ stands for the usual Hardy-Littlewood maximal function on the real line. As $M:L^2 to L^2$ boundedly, we are through.



        To come up with a counterexample is not very difficult then: for any function $g$, continuous, of compact support and such that $int g ne 0,$ Let



        $$G(t) = int_-infty^t g(x) , dx.$$



        This function satisfies the hypotheses of the problem, but clearly, as $mathcalF(g)(x) sim int g$ for $x sim 0,$ then, as $G' = g Rightarrow mathcalF(G)(x) sim fracint gx$ for $x sim 0,$ which does not integrate.



        Of course, this all can be made formal, but this is intended as a sketch to just illustrate how important it is that $G in L^1(mathbbR).$






        share|cite|improve this answer












        Actually, you have already solved the problem, but have not quite noticed it yet :)



        Indeed, you have proven that $(xmathcalF(f)(x))^2$ is integrable. But, by a Cauchy-Schwarz inequality,



        $$ int_mathbbRbackslash [-1,1] |mathcalF(f)(x)| , dx = int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)| times frac1 , dx $$



        $$ le left( int_mathbbRbackslash [-1,1] |xmathcalF(f)(x)|^2 , dx right)^1/2 times left( int_mathbbRbackslash [-1,1] frac1x^2, dx right)^1/2 < +infty.$$



        So, it suffices to analyse the interval $[-1,1].$ But, as we assumed that $f in L^1(mathbbR)$, we get that $mathcalF(f)$ is continuous, and therefore bounded, in $[-1,1].$ This implies the required integrability of the Fourier transform.




        On the other hand, we see that the integrability of $f$ is crucial. Indeed, one can show, by using elementary Sobolev space methods, that the condition that $g in L^2(mathbbR)$ is equivalent to $f$ having a (distributional) derivative $f' in L^2(mathbbR).$ Of course, one needs to make sense of $f$ having a distributional derivative, but this happens if, for instance, $f in mathcalS'(mathbbR).$



        Proving that $g in L^2(mathbbR)$ implies $f in L^2(mathbbR)$ is standard, whereas the reverse implication follows from the fact that



        $$ g(x) le M(f')(x), forall x in mathbbR,$$



        where $M$ stands for the usual Hardy-Littlewood maximal function on the real line. As $M:L^2 to L^2$ boundedly, we are through.



        To come up with a counterexample is not very difficult then: for any function $g$, continuous, of compact support and such that $int g ne 0,$ Let



        $$G(t) = int_-infty^t g(x) , dx.$$



        This function satisfies the hypotheses of the problem, but clearly, as $mathcalF(g)(x) sim int g$ for $x sim 0,$ then, as $G' = g Rightarrow mathcalF(G)(x) sim fracint gx$ for $x sim 0,$ which does not integrate.



        Of course, this all can be made formal, but this is intended as a sketch to just illustrate how important it is that $G in L^1(mathbbR).$







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Aug 28 at 13:14









        João Ramos

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