Compute the Fourier transform of a $L^2$ function.

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Let $fin L^2(mathbb R)$. Is it possible to compute the Fourier transform of an $L^2(mathbb R)$ function ? I'm asking this question because in a book I'm reading, they take the Fourier transform of a function $fin L^2(mathbb R)$ but for me there is no reason to have that $$int_mathbb Rf(x)e^-2ipi xxi dx$$
is convergent. So, could it be a mistake from the author ?







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  • See the riemann lebesgue lemma. en.wikipedia.org/wiki/Riemann%E2%80%93Lebesgue_lemma
    – RHowe
    Jul 20 at 19:55











  • In the text "Analysis" by Lieb & Loss it's explains very well: they construct the Fourier transform beginning by $L^1$ function then with Plancherel's theorem they construct it for $L^2$ and $L^p$
    – Davide Morgante
    Jul 20 at 20:01











  • @DavideMorgante: For $L^p$ it's unfortunately not possible in general. I guess that for $pin [1,2]$, we can extend Fourier transform $L^pto L^p'$ using Riesz-Thorin (with $frac1p+frac1p'=1$), but I don't think that it's possible for $p>2$ (but maybe I'm wrong...)
    – Surb
    Jul 20 at 20:09










  • @Surb I'm a little bit rusty when it comes to this specific mathematical construction. But from what I recall you're right, the authors used a sharper version of the Hausdorff-Young inequality which doesn't stand for $pgt 2$
    – Davide Morgante
    Jul 20 at 20:14














up vote
2
down vote

favorite












Let $fin L^2(mathbb R)$. Is it possible to compute the Fourier transform of an $L^2(mathbb R)$ function ? I'm asking this question because in a book I'm reading, they take the Fourier transform of a function $fin L^2(mathbb R)$ but for me there is no reason to have that $$int_mathbb Rf(x)e^-2ipi xxi dx$$
is convergent. So, could it be a mistake from the author ?







share|cite|improve this question



















  • See the riemann lebesgue lemma. en.wikipedia.org/wiki/Riemann%E2%80%93Lebesgue_lemma
    – RHowe
    Jul 20 at 19:55











  • In the text "Analysis" by Lieb & Loss it's explains very well: they construct the Fourier transform beginning by $L^1$ function then with Plancherel's theorem they construct it for $L^2$ and $L^p$
    – Davide Morgante
    Jul 20 at 20:01











  • @DavideMorgante: For $L^p$ it's unfortunately not possible in general. I guess that for $pin [1,2]$, we can extend Fourier transform $L^pto L^p'$ using Riesz-Thorin (with $frac1p+frac1p'=1$), but I don't think that it's possible for $p>2$ (but maybe I'm wrong...)
    – Surb
    Jul 20 at 20:09










  • @Surb I'm a little bit rusty when it comes to this specific mathematical construction. But from what I recall you're right, the authors used a sharper version of the Hausdorff-Young inequality which doesn't stand for $pgt 2$
    – Davide Morgante
    Jul 20 at 20:14












up vote
2
down vote

favorite









up vote
2
down vote

favorite











Let $fin L^2(mathbb R)$. Is it possible to compute the Fourier transform of an $L^2(mathbb R)$ function ? I'm asking this question because in a book I'm reading, they take the Fourier transform of a function $fin L^2(mathbb R)$ but for me there is no reason to have that $$int_mathbb Rf(x)e^-2ipi xxi dx$$
is convergent. So, could it be a mistake from the author ?







share|cite|improve this question











Let $fin L^2(mathbb R)$. Is it possible to compute the Fourier transform of an $L^2(mathbb R)$ function ? I'm asking this question because in a book I'm reading, they take the Fourier transform of a function $fin L^2(mathbb R)$ but for me there is no reason to have that $$int_mathbb Rf(x)e^-2ipi xxi dx$$
is convergent. So, could it be a mistake from the author ?









share|cite|improve this question










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asked Jul 20 at 19:50









MSE

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  • See the riemann lebesgue lemma. en.wikipedia.org/wiki/Riemann%E2%80%93Lebesgue_lemma
    – RHowe
    Jul 20 at 19:55











  • In the text "Analysis" by Lieb & Loss it's explains very well: they construct the Fourier transform beginning by $L^1$ function then with Plancherel's theorem they construct it for $L^2$ and $L^p$
    – Davide Morgante
    Jul 20 at 20:01











  • @DavideMorgante: For $L^p$ it's unfortunately not possible in general. I guess that for $pin [1,2]$, we can extend Fourier transform $L^pto L^p'$ using Riesz-Thorin (with $frac1p+frac1p'=1$), but I don't think that it's possible for $p>2$ (but maybe I'm wrong...)
    – Surb
    Jul 20 at 20:09










  • @Surb I'm a little bit rusty when it comes to this specific mathematical construction. But from what I recall you're right, the authors used a sharper version of the Hausdorff-Young inequality which doesn't stand for $pgt 2$
    – Davide Morgante
    Jul 20 at 20:14
















  • See the riemann lebesgue lemma. en.wikipedia.org/wiki/Riemann%E2%80%93Lebesgue_lemma
    – RHowe
    Jul 20 at 19:55











  • In the text "Analysis" by Lieb & Loss it's explains very well: they construct the Fourier transform beginning by $L^1$ function then with Plancherel's theorem they construct it for $L^2$ and $L^p$
    – Davide Morgante
    Jul 20 at 20:01











  • @DavideMorgante: For $L^p$ it's unfortunately not possible in general. I guess that for $pin [1,2]$, we can extend Fourier transform $L^pto L^p'$ using Riesz-Thorin (with $frac1p+frac1p'=1$), but I don't think that it's possible for $p>2$ (but maybe I'm wrong...)
    – Surb
    Jul 20 at 20:09










  • @Surb I'm a little bit rusty when it comes to this specific mathematical construction. But from what I recall you're right, the authors used a sharper version of the Hausdorff-Young inequality which doesn't stand for $pgt 2$
    – Davide Morgante
    Jul 20 at 20:14















See the riemann lebesgue lemma. en.wikipedia.org/wiki/Riemann%E2%80%93Lebesgue_lemma
– RHowe
Jul 20 at 19:55





See the riemann lebesgue lemma. en.wikipedia.org/wiki/Riemann%E2%80%93Lebesgue_lemma
– RHowe
Jul 20 at 19:55













In the text "Analysis" by Lieb & Loss it's explains very well: they construct the Fourier transform beginning by $L^1$ function then with Plancherel's theorem they construct it for $L^2$ and $L^p$
– Davide Morgante
Jul 20 at 20:01





In the text "Analysis" by Lieb & Loss it's explains very well: they construct the Fourier transform beginning by $L^1$ function then with Plancherel's theorem they construct it for $L^2$ and $L^p$
– Davide Morgante
Jul 20 at 20:01













@DavideMorgante: For $L^p$ it's unfortunately not possible in general. I guess that for $pin [1,2]$, we can extend Fourier transform $L^pto L^p'$ using Riesz-Thorin (with $frac1p+frac1p'=1$), but I don't think that it's possible for $p>2$ (but maybe I'm wrong...)
– Surb
Jul 20 at 20:09




@DavideMorgante: For $L^p$ it's unfortunately not possible in general. I guess that for $pin [1,2]$, we can extend Fourier transform $L^pto L^p'$ using Riesz-Thorin (with $frac1p+frac1p'=1$), but I don't think that it's possible for $p>2$ (but maybe I'm wrong...)
– Surb
Jul 20 at 20:09












@Surb I'm a little bit rusty when it comes to this specific mathematical construction. But from what I recall you're right, the authors used a sharper version of the Hausdorff-Young inequality which doesn't stand for $pgt 2$
– Davide Morgante
Jul 20 at 20:14




@Surb I'm a little bit rusty when it comes to this specific mathematical construction. But from what I recall you're right, the authors used a sharper version of the Hausdorff-Young inequality which doesn't stand for $pgt 2$
– Davide Morgante
Jul 20 at 20:14










3 Answers
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The Fourier transform is a bijection from $mathcal S(mathbb R)longrightarrow mathcal S(mathbb R),$ where $mathcal S(mathbb R)$ denote the space of Schwartz function. It can be prolonged from $L^2(mathbb R)longrightarrow L^2(mathbb R)$ as follow : $mathcal S(mathbb R)$ is dense in $L^2$, therefore, if $fin L^2(mathbb R)$, there is $(f_n)subset mathcal S(mathbb R)$ s.t. $$f_nlongrightarrow fquad textin L^2(mathbb R),$$
and we define $$hat f:=lim_nto infty hat f_nquad textin L^2(mathbb R).$$



But if $fin L^2(mathbb R)$ and $fnotin L^1(mathbb R)$, then $$hat f(xi)neq int_mathbb Rf(x)e^-2ipi xxidx,$$
a priori.



This definition is motivated by the linearity of Fourier transform, Plancherel's equality and the completeness of $L^2(mathbb R)$.






share|cite|improve this answer




























    up vote
    2
    down vote













    The pointwise convergence known as Carleson's theorem is a delicate problem in the sense that the proof is about 10 pages.The paper by Carleson focused on the Fourier series convergence while simpler proofs focused on convergence of Fourier transform , nevertheless the two are equivalent and the $ L^2$ convergence is not difficult to prove:



    Given an $L^2$ function $f(t)$,



    define $$hatf_n(s)=int_-n^nf(t)e^-istdt$$



    It can be easily shown using Plancherel theorem that there is some $g(s) in L^2$ and $$lim_nrightarrowinftyint_-infty^infty(hatf_n(s)-g(s))^2ds=0$$



    $$int_-infty^infty(g(s))^2ds=int_-infty^infty(f(t))^2dt$$



    How to show $$lim_nrightarrowinftyint_-a^aleft(frac12piint_-n^ng(s)e^istds-f(t)right)^2dt=0$$ where $a in R$ :



    First prove it for $f$ with compact support then generalise it to $L^2$ using inequalities.



    Proof for $f(t) $ of compact support and $in L^2$ :
    clearly $f(t) in L^1$ without loss of generality assume $f(t)=0$ outside $[-pi,pi]$ since we can always replace $f(t)$ with $f(t')$ such as $t=fracn2pi t'$ for $n in N$ and $t' in R$.



    define $$g(s)=lim_ntoinftyint_-n^nf(t)e^-istdt$$



    The relationship between fourier transform and fourier series for $f(t)$ above follows from



    $$(1) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-frac1piint_-pi^pi f(t+u)fracsin(n+frac12)uudu)^2dt=0$$



    which is simply consequence of Riemann-Lebesgue Lemma applied to the function $ f (t+u) k (u) $, where $k(u)=frac12sin(u/2)-frac1u$ , using remainder term for the Taylor's series of $sin(u/2)$, it easily seen $k(u) $ is bounded over $[-pi, pi]$



    $$(2)frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-infty^inftyf(t+u)fracsin(n+frac12)uudu$$



    This can be derived from fubini's theorem and this theorem : $mu$ is Lebesgue outer measure, $ A $ is a measurable set with finite measure. For all $n$ , $int_Af_n^2dmu le k $ where $ k in R $ , $ f_n $ is uniformly integrable



    Norm convergence for Fourier series :
    $$(3) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-f(t))^2dt=0$$



    using Riemann Lebesgue Lemma on (2) we have $$frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-pi^pif(t+u)fracsin(n+frac12)uudu$$



    Using Norm convergence of fourier series (3), Riemann-Lebesgue lemma, Cauchy-Schwartz Inequality,$a^2+b^2 ge 2ab$ and (1) and (2) we have:



    $$lim_nrightarrowinftyint_-pi^pileft(frac12piint_-(n+frac12)^n+frac12g(s)e^istds-f(t)right)^2dt=0$$



    Proof for $f(t) in L^2$:



    define $f_m=f_[-m,m]$ where $m in N$ and its fourier transform is $hatf_m$



    $$lim_mrightarrowinfty f_m=f$$



    By Plancherel theorem : $lim_mrightarrowinfty hatf_m=lim_mrightarrowinftyint_-m^mf(t)e^-istdt=hatf$ in sense of $L^2$



    our previous result for function with compact support : $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt =0 $$
    $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t)_[-pi,pi])^2dt =lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_n(s)e^istds-f(t))^2dt=0 $$



    There is a subsequence $n$ such that $hatf_n to hatf $ ae. Let's work with such subsequence



    $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-frac12piint_-n^nhatf_n(s)e^istds)^2dt =$$$$lim_nto inftyint_-pi^pi(frac1piint_-infty^infty(f(t+u)_[-infty,-n]+f(t+u)_[n,infty])fracsin(n+frac12)uudu)^2dt $$ $$le 2(||f(u)_[-infty,-n]+f(u)_[n,infty]||_L^2+||fracsin(n+frac12)uu||_L^2)^-1/2$$ by Cauchy-Scwartz ineqaulity



    because $a^2+b^2 ge 2ab$ , it follows from Cauchy-Schwartz inequality that:



    $lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-f(t))^2dtle$
    $lim_nto inftyint_-pi^pi(|frac12piint_-n^nhatf(s)e^istds-f_n(t)|+|f_n(t)-f(t)|)^2dt=0 $



    we proved the result for some sequence $n$ to see the result holds for all $n$ we observe that



    $$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(n+1)hatf(s)e^istds-int_-n^nhatf(s)e^istds)^2dt le$$$$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(-n)|hatf(s)|ds+frac12piint_n^(n+1)|hatf(s)|ds)^2dt le lim_nto infty frac12pi(||hatf_[-n-1,-n]||_L^2+||hatf_[n,n+1]||_L^2)^2=0$$ by Hölder's Inequality






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      Being $L^2(mathbbR)backslash L^1(mathbbR)neqemptyset$ and being $int_mathbbRf(x)e^-2pi ixxidx$ well defined as a Lebesgue integral iff $fin L^1(mathbbR)$, you are absolutely right to complain.



      By the way, you can define the Fourier transform $mathcalF$ for $L^2(mathbbR)$ by a little detour, first defining it by that formula for $L^1(mathbbR)$ functions, then proving that $$forall fin L^1(mathbbR)cap L^2(mathbbR), |mathcalF(f)|_2=|f|_2,$$
      so the Fourier transform is an isometry and then can be extended uniquely to an isometry on the whole $L^2(mathbbR)$ by continuity and density.



      Now, having defined the Fourier transform in $L^2(mathbbR)$ via this indirect route, you might ask yourself if there is a more practical procedure to compute it. The first idea that comes to mind is to try to give meaning to the $L^1(mathbbR)$ formula: $$ mathcalF(f)(xi)=int_mathbbRf(x)e^-2pi ixxidx,$$
      also in the $L^2(mathbbR)$ context.
      As initially said, this can't be, in general, interpreted as a Lebesgue integral. However, what about interpreting it as a improper integral? After all, for subsets $KsubsetmathbbR$ of finite Lebesgue measure, by Holder inequality, we have that $L^2 (K)subset L^1 (K)$ and so, if $fin L^2 (mathbbR)$ and $M>0$, it is well defined the integral: $$int_-M^Mf(x)e^-2pi i xxidx,$$ and we can try to get the limit of this quantity as $Mrightarrowinfty$. So the question: does it hold true for $fin L^2 (mathbbR)$ that $$mathcalF(f)(xi)=lim_Mrightarrowinfty int_-M^Mf(x)e^-2pi i xxidx?$$
      Well, by Carleson's theorem, this limit exists for a.e. $xiinmathbbR$ and that formula holds true if interpreted as an a.e. $xiinmathbbR$ equality. So, at the end, we have recovered a meaning for the original formula via an improper integral, obtaining in this manner an explicit way to calculate the Fourier transform of a $L^2(mathbbR)$ function.






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      • Just for notation, $L^2backslash L^1$ looks weird since $L^1notsubset L^2$. I would use more $L^2cap (L^1)^c$.
        – Surb
        Jul 21 at 8:01







      • 1




        @surb en.wikipedia.org/wiki/…
        – Bob
        Jul 21 at 8:12










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      3 Answers
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      3 Answers
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      up vote
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      The Fourier transform is a bijection from $mathcal S(mathbb R)longrightarrow mathcal S(mathbb R),$ where $mathcal S(mathbb R)$ denote the space of Schwartz function. It can be prolonged from $L^2(mathbb R)longrightarrow L^2(mathbb R)$ as follow : $mathcal S(mathbb R)$ is dense in $L^2$, therefore, if $fin L^2(mathbb R)$, there is $(f_n)subset mathcal S(mathbb R)$ s.t. $$f_nlongrightarrow fquad textin L^2(mathbb R),$$
      and we define $$hat f:=lim_nto infty hat f_nquad textin L^2(mathbb R).$$



      But if $fin L^2(mathbb R)$ and $fnotin L^1(mathbb R)$, then $$hat f(xi)neq int_mathbb Rf(x)e^-2ipi xxidx,$$
      a priori.



      This definition is motivated by the linearity of Fourier transform, Plancherel's equality and the completeness of $L^2(mathbb R)$.






      share|cite|improve this answer

























        up vote
        2
        down vote













        The Fourier transform is a bijection from $mathcal S(mathbb R)longrightarrow mathcal S(mathbb R),$ where $mathcal S(mathbb R)$ denote the space of Schwartz function. It can be prolonged from $L^2(mathbb R)longrightarrow L^2(mathbb R)$ as follow : $mathcal S(mathbb R)$ is dense in $L^2$, therefore, if $fin L^2(mathbb R)$, there is $(f_n)subset mathcal S(mathbb R)$ s.t. $$f_nlongrightarrow fquad textin L^2(mathbb R),$$
        and we define $$hat f:=lim_nto infty hat f_nquad textin L^2(mathbb R).$$



        But if $fin L^2(mathbb R)$ and $fnotin L^1(mathbb R)$, then $$hat f(xi)neq int_mathbb Rf(x)e^-2ipi xxidx,$$
        a priori.



        This definition is motivated by the linearity of Fourier transform, Plancherel's equality and the completeness of $L^2(mathbb R)$.






        share|cite|improve this answer























          up vote
          2
          down vote










          up vote
          2
          down vote









          The Fourier transform is a bijection from $mathcal S(mathbb R)longrightarrow mathcal S(mathbb R),$ where $mathcal S(mathbb R)$ denote the space of Schwartz function. It can be prolonged from $L^2(mathbb R)longrightarrow L^2(mathbb R)$ as follow : $mathcal S(mathbb R)$ is dense in $L^2$, therefore, if $fin L^2(mathbb R)$, there is $(f_n)subset mathcal S(mathbb R)$ s.t. $$f_nlongrightarrow fquad textin L^2(mathbb R),$$
          and we define $$hat f:=lim_nto infty hat f_nquad textin L^2(mathbb R).$$



          But if $fin L^2(mathbb R)$ and $fnotin L^1(mathbb R)$, then $$hat f(xi)neq int_mathbb Rf(x)e^-2ipi xxidx,$$
          a priori.



          This definition is motivated by the linearity of Fourier transform, Plancherel's equality and the completeness of $L^2(mathbb R)$.






          share|cite|improve this answer













          The Fourier transform is a bijection from $mathcal S(mathbb R)longrightarrow mathcal S(mathbb R),$ where $mathcal S(mathbb R)$ denote the space of Schwartz function. It can be prolonged from $L^2(mathbb R)longrightarrow L^2(mathbb R)$ as follow : $mathcal S(mathbb R)$ is dense in $L^2$, therefore, if $fin L^2(mathbb R)$, there is $(f_n)subset mathcal S(mathbb R)$ s.t. $$f_nlongrightarrow fquad textin L^2(mathbb R),$$
          and we define $$hat f:=lim_nto infty hat f_nquad textin L^2(mathbb R).$$



          But if $fin L^2(mathbb R)$ and $fnotin L^1(mathbb R)$, then $$hat f(xi)neq int_mathbb Rf(x)e^-2ipi xxidx,$$
          a priori.



          This definition is motivated by the linearity of Fourier transform, Plancherel's equality and the completeness of $L^2(mathbb R)$.







          share|cite|improve this answer













          share|cite|improve this answer



          share|cite|improve this answer











          answered Jul 20 at 20:01









          Surb

          36.3k84274




          36.3k84274




















              up vote
              2
              down vote













              The pointwise convergence known as Carleson's theorem is a delicate problem in the sense that the proof is about 10 pages.The paper by Carleson focused on the Fourier series convergence while simpler proofs focused on convergence of Fourier transform , nevertheless the two are equivalent and the $ L^2$ convergence is not difficult to prove:



              Given an $L^2$ function $f(t)$,



              define $$hatf_n(s)=int_-n^nf(t)e^-istdt$$



              It can be easily shown using Plancherel theorem that there is some $g(s) in L^2$ and $$lim_nrightarrowinftyint_-infty^infty(hatf_n(s)-g(s))^2ds=0$$



              $$int_-infty^infty(g(s))^2ds=int_-infty^infty(f(t))^2dt$$



              How to show $$lim_nrightarrowinftyint_-a^aleft(frac12piint_-n^ng(s)e^istds-f(t)right)^2dt=0$$ where $a in R$ :



              First prove it for $f$ with compact support then generalise it to $L^2$ using inequalities.



              Proof for $f(t) $ of compact support and $in L^2$ :
              clearly $f(t) in L^1$ without loss of generality assume $f(t)=0$ outside $[-pi,pi]$ since we can always replace $f(t)$ with $f(t')$ such as $t=fracn2pi t'$ for $n in N$ and $t' in R$.



              define $$g(s)=lim_ntoinftyint_-n^nf(t)e^-istdt$$



              The relationship between fourier transform and fourier series for $f(t)$ above follows from



              $$(1) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-frac1piint_-pi^pi f(t+u)fracsin(n+frac12)uudu)^2dt=0$$



              which is simply consequence of Riemann-Lebesgue Lemma applied to the function $ f (t+u) k (u) $, where $k(u)=frac12sin(u/2)-frac1u$ , using remainder term for the Taylor's series of $sin(u/2)$, it easily seen $k(u) $ is bounded over $[-pi, pi]$



              $$(2)frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-infty^inftyf(t+u)fracsin(n+frac12)uudu$$



              This can be derived from fubini's theorem and this theorem : $mu$ is Lebesgue outer measure, $ A $ is a measurable set with finite measure. For all $n$ , $int_Af_n^2dmu le k $ where $ k in R $ , $ f_n $ is uniformly integrable



              Norm convergence for Fourier series :
              $$(3) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-f(t))^2dt=0$$



              using Riemann Lebesgue Lemma on (2) we have $$frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-pi^pif(t+u)fracsin(n+frac12)uudu$$



              Using Norm convergence of fourier series (3), Riemann-Lebesgue lemma, Cauchy-Schwartz Inequality,$a^2+b^2 ge 2ab$ and (1) and (2) we have:



              $$lim_nrightarrowinftyint_-pi^pileft(frac12piint_-(n+frac12)^n+frac12g(s)e^istds-f(t)right)^2dt=0$$



              Proof for $f(t) in L^2$:



              define $f_m=f_[-m,m]$ where $m in N$ and its fourier transform is $hatf_m$



              $$lim_mrightarrowinfty f_m=f$$



              By Plancherel theorem : $lim_mrightarrowinfty hatf_m=lim_mrightarrowinftyint_-m^mf(t)e^-istdt=hatf$ in sense of $L^2$



              our previous result for function with compact support : $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt =0 $$
              $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t)_[-pi,pi])^2dt =lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_n(s)e^istds-f(t))^2dt=0 $$



              There is a subsequence $n$ such that $hatf_n to hatf $ ae. Let's work with such subsequence



              $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-frac12piint_-n^nhatf_n(s)e^istds)^2dt =$$$$lim_nto inftyint_-pi^pi(frac1piint_-infty^infty(f(t+u)_[-infty,-n]+f(t+u)_[n,infty])fracsin(n+frac12)uudu)^2dt $$ $$le 2(||f(u)_[-infty,-n]+f(u)_[n,infty]||_L^2+||fracsin(n+frac12)uu||_L^2)^-1/2$$ by Cauchy-Scwartz ineqaulity



              because $a^2+b^2 ge 2ab$ , it follows from Cauchy-Schwartz inequality that:



              $lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-f(t))^2dtle$
              $lim_nto inftyint_-pi^pi(|frac12piint_-n^nhatf(s)e^istds-f_n(t)|+|f_n(t)-f(t)|)^2dt=0 $



              we proved the result for some sequence $n$ to see the result holds for all $n$ we observe that



              $$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(n+1)hatf(s)e^istds-int_-n^nhatf(s)e^istds)^2dt le$$$$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(-n)|hatf(s)|ds+frac12piint_n^(n+1)|hatf(s)|ds)^2dt le lim_nto infty frac12pi(||hatf_[-n-1,-n]||_L^2+||hatf_[n,n+1]||_L^2)^2=0$$ by Hölder's Inequality






              share|cite|improve this answer



























                up vote
                2
                down vote













                The pointwise convergence known as Carleson's theorem is a delicate problem in the sense that the proof is about 10 pages.The paper by Carleson focused on the Fourier series convergence while simpler proofs focused on convergence of Fourier transform , nevertheless the two are equivalent and the $ L^2$ convergence is not difficult to prove:



                Given an $L^2$ function $f(t)$,



                define $$hatf_n(s)=int_-n^nf(t)e^-istdt$$



                It can be easily shown using Plancherel theorem that there is some $g(s) in L^2$ and $$lim_nrightarrowinftyint_-infty^infty(hatf_n(s)-g(s))^2ds=0$$



                $$int_-infty^infty(g(s))^2ds=int_-infty^infty(f(t))^2dt$$



                How to show $$lim_nrightarrowinftyint_-a^aleft(frac12piint_-n^ng(s)e^istds-f(t)right)^2dt=0$$ where $a in R$ :



                First prove it for $f$ with compact support then generalise it to $L^2$ using inequalities.



                Proof for $f(t) $ of compact support and $in L^2$ :
                clearly $f(t) in L^1$ without loss of generality assume $f(t)=0$ outside $[-pi,pi]$ since we can always replace $f(t)$ with $f(t')$ such as $t=fracn2pi t'$ for $n in N$ and $t' in R$.



                define $$g(s)=lim_ntoinftyint_-n^nf(t)e^-istdt$$



                The relationship between fourier transform and fourier series for $f(t)$ above follows from



                $$(1) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-frac1piint_-pi^pi f(t+u)fracsin(n+frac12)uudu)^2dt=0$$



                which is simply consequence of Riemann-Lebesgue Lemma applied to the function $ f (t+u) k (u) $, where $k(u)=frac12sin(u/2)-frac1u$ , using remainder term for the Taylor's series of $sin(u/2)$, it easily seen $k(u) $ is bounded over $[-pi, pi]$



                $$(2)frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-infty^inftyf(t+u)fracsin(n+frac12)uudu$$



                This can be derived from fubini's theorem and this theorem : $mu$ is Lebesgue outer measure, $ A $ is a measurable set with finite measure. For all $n$ , $int_Af_n^2dmu le k $ where $ k in R $ , $ f_n $ is uniformly integrable



                Norm convergence for Fourier series :
                $$(3) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-f(t))^2dt=0$$



                using Riemann Lebesgue Lemma on (2) we have $$frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-pi^pif(t+u)fracsin(n+frac12)uudu$$



                Using Norm convergence of fourier series (3), Riemann-Lebesgue lemma, Cauchy-Schwartz Inequality,$a^2+b^2 ge 2ab$ and (1) and (2) we have:



                $$lim_nrightarrowinftyint_-pi^pileft(frac12piint_-(n+frac12)^n+frac12g(s)e^istds-f(t)right)^2dt=0$$



                Proof for $f(t) in L^2$:



                define $f_m=f_[-m,m]$ where $m in N$ and its fourier transform is $hatf_m$



                $$lim_mrightarrowinfty f_m=f$$



                By Plancherel theorem : $lim_mrightarrowinfty hatf_m=lim_mrightarrowinftyint_-m^mf(t)e^-istdt=hatf$ in sense of $L^2$



                our previous result for function with compact support : $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt =0 $$
                $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t)_[-pi,pi])^2dt =lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_n(s)e^istds-f(t))^2dt=0 $$



                There is a subsequence $n$ such that $hatf_n to hatf $ ae. Let's work with such subsequence



                $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-frac12piint_-n^nhatf_n(s)e^istds)^2dt =$$$$lim_nto inftyint_-pi^pi(frac1piint_-infty^infty(f(t+u)_[-infty,-n]+f(t+u)_[n,infty])fracsin(n+frac12)uudu)^2dt $$ $$le 2(||f(u)_[-infty,-n]+f(u)_[n,infty]||_L^2+||fracsin(n+frac12)uu||_L^2)^-1/2$$ by Cauchy-Scwartz ineqaulity



                because $a^2+b^2 ge 2ab$ , it follows from Cauchy-Schwartz inequality that:



                $lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-f(t))^2dtle$
                $lim_nto inftyint_-pi^pi(|frac12piint_-n^nhatf(s)e^istds-f_n(t)|+|f_n(t)-f(t)|)^2dt=0 $



                we proved the result for some sequence $n$ to see the result holds for all $n$ we observe that



                $$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(n+1)hatf(s)e^istds-int_-n^nhatf(s)e^istds)^2dt le$$$$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(-n)|hatf(s)|ds+frac12piint_n^(n+1)|hatf(s)|ds)^2dt le lim_nto infty frac12pi(||hatf_[-n-1,-n]||_L^2+||hatf_[n,n+1]||_L^2)^2=0$$ by Hölder's Inequality






                share|cite|improve this answer

























                  up vote
                  2
                  down vote










                  up vote
                  2
                  down vote









                  The pointwise convergence known as Carleson's theorem is a delicate problem in the sense that the proof is about 10 pages.The paper by Carleson focused on the Fourier series convergence while simpler proofs focused on convergence of Fourier transform , nevertheless the two are equivalent and the $ L^2$ convergence is not difficult to prove:



                  Given an $L^2$ function $f(t)$,



                  define $$hatf_n(s)=int_-n^nf(t)e^-istdt$$



                  It can be easily shown using Plancherel theorem that there is some $g(s) in L^2$ and $$lim_nrightarrowinftyint_-infty^infty(hatf_n(s)-g(s))^2ds=0$$



                  $$int_-infty^infty(g(s))^2ds=int_-infty^infty(f(t))^2dt$$



                  How to show $$lim_nrightarrowinftyint_-a^aleft(frac12piint_-n^ng(s)e^istds-f(t)right)^2dt=0$$ where $a in R$ :



                  First prove it for $f$ with compact support then generalise it to $L^2$ using inequalities.



                  Proof for $f(t) $ of compact support and $in L^2$ :
                  clearly $f(t) in L^1$ without loss of generality assume $f(t)=0$ outside $[-pi,pi]$ since we can always replace $f(t)$ with $f(t')$ such as $t=fracn2pi t'$ for $n in N$ and $t' in R$.



                  define $$g(s)=lim_ntoinftyint_-n^nf(t)e^-istdt$$



                  The relationship between fourier transform and fourier series for $f(t)$ above follows from



                  $$(1) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-frac1piint_-pi^pi f(t+u)fracsin(n+frac12)uudu)^2dt=0$$



                  which is simply consequence of Riemann-Lebesgue Lemma applied to the function $ f (t+u) k (u) $, where $k(u)=frac12sin(u/2)-frac1u$ , using remainder term for the Taylor's series of $sin(u/2)$, it easily seen $k(u) $ is bounded over $[-pi, pi]$



                  $$(2)frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-infty^inftyf(t+u)fracsin(n+frac12)uudu$$



                  This can be derived from fubini's theorem and this theorem : $mu$ is Lebesgue outer measure, $ A $ is a measurable set with finite measure. For all $n$ , $int_Af_n^2dmu le k $ where $ k in R $ , $ f_n $ is uniformly integrable



                  Norm convergence for Fourier series :
                  $$(3) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-f(t))^2dt=0$$



                  using Riemann Lebesgue Lemma on (2) we have $$frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-pi^pif(t+u)fracsin(n+frac12)uudu$$



                  Using Norm convergence of fourier series (3), Riemann-Lebesgue lemma, Cauchy-Schwartz Inequality,$a^2+b^2 ge 2ab$ and (1) and (2) we have:



                  $$lim_nrightarrowinftyint_-pi^pileft(frac12piint_-(n+frac12)^n+frac12g(s)e^istds-f(t)right)^2dt=0$$



                  Proof for $f(t) in L^2$:



                  define $f_m=f_[-m,m]$ where $m in N$ and its fourier transform is $hatf_m$



                  $$lim_mrightarrowinfty f_m=f$$



                  By Plancherel theorem : $lim_mrightarrowinfty hatf_m=lim_mrightarrowinftyint_-m^mf(t)e^-istdt=hatf$ in sense of $L^2$



                  our previous result for function with compact support : $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt =0 $$
                  $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t)_[-pi,pi])^2dt =lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_n(s)e^istds-f(t))^2dt=0 $$



                  There is a subsequence $n$ such that $hatf_n to hatf $ ae. Let's work with such subsequence



                  $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-frac12piint_-n^nhatf_n(s)e^istds)^2dt =$$$$lim_nto inftyint_-pi^pi(frac1piint_-infty^infty(f(t+u)_[-infty,-n]+f(t+u)_[n,infty])fracsin(n+frac12)uudu)^2dt $$ $$le 2(||f(u)_[-infty,-n]+f(u)_[n,infty]||_L^2+||fracsin(n+frac12)uu||_L^2)^-1/2$$ by Cauchy-Scwartz ineqaulity



                  because $a^2+b^2 ge 2ab$ , it follows from Cauchy-Schwartz inequality that:



                  $lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-f(t))^2dtle$
                  $lim_nto inftyint_-pi^pi(|frac12piint_-n^nhatf(s)e^istds-f_n(t)|+|f_n(t)-f(t)|)^2dt=0 $



                  we proved the result for some sequence $n$ to see the result holds for all $n$ we observe that



                  $$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(n+1)hatf(s)e^istds-int_-n^nhatf(s)e^istds)^2dt le$$$$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(-n)|hatf(s)|ds+frac12piint_n^(n+1)|hatf(s)|ds)^2dt le lim_nto infty frac12pi(||hatf_[-n-1,-n]||_L^2+||hatf_[n,n+1]||_L^2)^2=0$$ by Hölder's Inequality






                  share|cite|improve this answer















                  The pointwise convergence known as Carleson's theorem is a delicate problem in the sense that the proof is about 10 pages.The paper by Carleson focused on the Fourier series convergence while simpler proofs focused on convergence of Fourier transform , nevertheless the two are equivalent and the $ L^2$ convergence is not difficult to prove:



                  Given an $L^2$ function $f(t)$,



                  define $$hatf_n(s)=int_-n^nf(t)e^-istdt$$



                  It can be easily shown using Plancherel theorem that there is some $g(s) in L^2$ and $$lim_nrightarrowinftyint_-infty^infty(hatf_n(s)-g(s))^2ds=0$$



                  $$int_-infty^infty(g(s))^2ds=int_-infty^infty(f(t))^2dt$$



                  How to show $$lim_nrightarrowinftyint_-a^aleft(frac12piint_-n^ng(s)e^istds-f(t)right)^2dt=0$$ where $a in R$ :



                  First prove it for $f$ with compact support then generalise it to $L^2$ using inequalities.



                  Proof for $f(t) $ of compact support and $in L^2$ :
                  clearly $f(t) in L^1$ without loss of generality assume $f(t)=0$ outside $[-pi,pi]$ since we can always replace $f(t)$ with $f(t')$ such as $t=fracn2pi t'$ for $n in N$ and $t' in R$.



                  define $$g(s)=lim_ntoinftyint_-n^nf(t)e^-istdt$$



                  The relationship between fourier transform and fourier series for $f(t)$ above follows from



                  $$(1) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-frac1piint_-pi^pi f(t+u)fracsin(n+frac12)uudu)^2dt=0$$



                  which is simply consequence of Riemann-Lebesgue Lemma applied to the function $ f (t+u) k (u) $, where $k(u)=frac12sin(u/2)-frac1u$ , using remainder term for the Taylor's series of $sin(u/2)$, it easily seen $k(u) $ is bounded over $[-pi, pi]$



                  $$(2)frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-infty^inftyf(t+u)fracsin(n+frac12)uudu$$



                  This can be derived from fubini's theorem and this theorem : $mu$ is Lebesgue outer measure, $ A $ is a measurable set with finite measure. For all $n$ , $int_Af_n^2dmu le k $ where $ k in R $ , $ f_n $ is uniformly integrable



                  Norm convergence for Fourier series :
                  $$(3) lim_nrightarrowinftyint_-pi^pi(frac1piint_-pi^pif(t+u)fracsin(n+frac12)u2sin(u/2)du-f(t))^2dt=0$$



                  using Riemann Lebesgue Lemma on (2) we have $$frac12pi int_-(n+frac12)^(n+frac12)g(s)e^istds=frac1piint_-pi^pif(t+u)fracsin(n+frac12)uudu$$



                  Using Norm convergence of fourier series (3), Riemann-Lebesgue lemma, Cauchy-Schwartz Inequality,$a^2+b^2 ge 2ab$ and (1) and (2) we have:



                  $$lim_nrightarrowinftyint_-pi^pileft(frac12piint_-(n+frac12)^n+frac12g(s)e^istds-f(t)right)^2dt=0$$



                  Proof for $f(t) in L^2$:



                  define $f_m=f_[-m,m]$ where $m in N$ and its fourier transform is $hatf_m$



                  $$lim_mrightarrowinfty f_m=f$$



                  By Plancherel theorem : $lim_mrightarrowinfty hatf_m=lim_mrightarrowinftyint_-m^mf(t)e^-istdt=hatf$ in sense of $L^2$



                  our previous result for function with compact support : $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt =0 $$
                  $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f_m(t)_[-pi,pi])^2dt =lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_m(s)e^istds-f(t))^2dt=lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf_n(s)e^istds-f(t))^2dt=0 $$



                  There is a subsequence $n$ such that $hatf_n to hatf $ ae. Let's work with such subsequence



                  $$lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-frac12piint_-n^nhatf_n(s)e^istds)^2dt =$$$$lim_nto inftyint_-pi^pi(frac1piint_-infty^infty(f(t+u)_[-infty,-n]+f(t+u)_[n,infty])fracsin(n+frac12)uudu)^2dt $$ $$le 2(||f(u)_[-infty,-n]+f(u)_[n,infty]||_L^2+||fracsin(n+frac12)uu||_L^2)^-1/2$$ by Cauchy-Scwartz ineqaulity



                  because $a^2+b^2 ge 2ab$ , it follows from Cauchy-Schwartz inequality that:



                  $lim_nto inftyint_-pi^pi(frac12piint_-n^nhatf(s)e^istds-f(t))^2dtle$
                  $lim_nto inftyint_-pi^pi(|frac12piint_-n^nhatf(s)e^istds-f_n(t)|+|f_n(t)-f(t)|)^2dt=0 $



                  we proved the result for some sequence $n$ to see the result holds for all $n$ we observe that



                  $$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(n+1)hatf(s)e^istds-int_-n^nhatf(s)e^istds)^2dt le$$$$lim_nto inftyint_-pi^pi(frac12piint_-(n+1)^(-n)|hatf(s)|ds+frac12piint_n^(n+1)|hatf(s)|ds)^2dt le lim_nto infty frac12pi(||hatf_[-n-1,-n]||_L^2+||hatf_[n,n+1]||_L^2)^2=0$$ by Hölder's Inequality







                  share|cite|improve this answer















                  share|cite|improve this answer



                  share|cite|improve this answer








                  edited Jul 21 at 3:59


























                  answered Jul 21 at 3:41









                  S.t.a.l.k.e.r

                  721320




                  721320




















                      up vote
                      2
                      down vote













                      Being $L^2(mathbbR)backslash L^1(mathbbR)neqemptyset$ and being $int_mathbbRf(x)e^-2pi ixxidx$ well defined as a Lebesgue integral iff $fin L^1(mathbbR)$, you are absolutely right to complain.



                      By the way, you can define the Fourier transform $mathcalF$ for $L^2(mathbbR)$ by a little detour, first defining it by that formula for $L^1(mathbbR)$ functions, then proving that $$forall fin L^1(mathbbR)cap L^2(mathbbR), |mathcalF(f)|_2=|f|_2,$$
                      so the Fourier transform is an isometry and then can be extended uniquely to an isometry on the whole $L^2(mathbbR)$ by continuity and density.



                      Now, having defined the Fourier transform in $L^2(mathbbR)$ via this indirect route, you might ask yourself if there is a more practical procedure to compute it. The first idea that comes to mind is to try to give meaning to the $L^1(mathbbR)$ formula: $$ mathcalF(f)(xi)=int_mathbbRf(x)e^-2pi ixxidx,$$
                      also in the $L^2(mathbbR)$ context.
                      As initially said, this can't be, in general, interpreted as a Lebesgue integral. However, what about interpreting it as a improper integral? After all, for subsets $KsubsetmathbbR$ of finite Lebesgue measure, by Holder inequality, we have that $L^2 (K)subset L^1 (K)$ and so, if $fin L^2 (mathbbR)$ and $M>0$, it is well defined the integral: $$int_-M^Mf(x)e^-2pi i xxidx,$$ and we can try to get the limit of this quantity as $Mrightarrowinfty$. So the question: does it hold true for $fin L^2 (mathbbR)$ that $$mathcalF(f)(xi)=lim_Mrightarrowinfty int_-M^Mf(x)e^-2pi i xxidx?$$
                      Well, by Carleson's theorem, this limit exists for a.e. $xiinmathbbR$ and that formula holds true if interpreted as an a.e. $xiinmathbbR$ equality. So, at the end, we have recovered a meaning for the original formula via an improper integral, obtaining in this manner an explicit way to calculate the Fourier transform of a $L^2(mathbbR)$ function.






                      share|cite|improve this answer























                      • Just for notation, $L^2backslash L^1$ looks weird since $L^1notsubset L^2$. I would use more $L^2cap (L^1)^c$.
                        – Surb
                        Jul 21 at 8:01







                      • 1




                        @surb en.wikipedia.org/wiki/…
                        – Bob
                        Jul 21 at 8:12














                      up vote
                      2
                      down vote













                      Being $L^2(mathbbR)backslash L^1(mathbbR)neqemptyset$ and being $int_mathbbRf(x)e^-2pi ixxidx$ well defined as a Lebesgue integral iff $fin L^1(mathbbR)$, you are absolutely right to complain.



                      By the way, you can define the Fourier transform $mathcalF$ for $L^2(mathbbR)$ by a little detour, first defining it by that formula for $L^1(mathbbR)$ functions, then proving that $$forall fin L^1(mathbbR)cap L^2(mathbbR), |mathcalF(f)|_2=|f|_2,$$
                      so the Fourier transform is an isometry and then can be extended uniquely to an isometry on the whole $L^2(mathbbR)$ by continuity and density.



                      Now, having defined the Fourier transform in $L^2(mathbbR)$ via this indirect route, you might ask yourself if there is a more practical procedure to compute it. The first idea that comes to mind is to try to give meaning to the $L^1(mathbbR)$ formula: $$ mathcalF(f)(xi)=int_mathbbRf(x)e^-2pi ixxidx,$$
                      also in the $L^2(mathbbR)$ context.
                      As initially said, this can't be, in general, interpreted as a Lebesgue integral. However, what about interpreting it as a improper integral? After all, for subsets $KsubsetmathbbR$ of finite Lebesgue measure, by Holder inequality, we have that $L^2 (K)subset L^1 (K)$ and so, if $fin L^2 (mathbbR)$ and $M>0$, it is well defined the integral: $$int_-M^Mf(x)e^-2pi i xxidx,$$ and we can try to get the limit of this quantity as $Mrightarrowinfty$. So the question: does it hold true for $fin L^2 (mathbbR)$ that $$mathcalF(f)(xi)=lim_Mrightarrowinfty int_-M^Mf(x)e^-2pi i xxidx?$$
                      Well, by Carleson's theorem, this limit exists for a.e. $xiinmathbbR$ and that formula holds true if interpreted as an a.e. $xiinmathbbR$ equality. So, at the end, we have recovered a meaning for the original formula via an improper integral, obtaining in this manner an explicit way to calculate the Fourier transform of a $L^2(mathbbR)$ function.






                      share|cite|improve this answer























                      • Just for notation, $L^2backslash L^1$ looks weird since $L^1notsubset L^2$. I would use more $L^2cap (L^1)^c$.
                        – Surb
                        Jul 21 at 8:01







                      • 1




                        @surb en.wikipedia.org/wiki/…
                        – Bob
                        Jul 21 at 8:12












                      up vote
                      2
                      down vote










                      up vote
                      2
                      down vote









                      Being $L^2(mathbbR)backslash L^1(mathbbR)neqemptyset$ and being $int_mathbbRf(x)e^-2pi ixxidx$ well defined as a Lebesgue integral iff $fin L^1(mathbbR)$, you are absolutely right to complain.



                      By the way, you can define the Fourier transform $mathcalF$ for $L^2(mathbbR)$ by a little detour, first defining it by that formula for $L^1(mathbbR)$ functions, then proving that $$forall fin L^1(mathbbR)cap L^2(mathbbR), |mathcalF(f)|_2=|f|_2,$$
                      so the Fourier transform is an isometry and then can be extended uniquely to an isometry on the whole $L^2(mathbbR)$ by continuity and density.



                      Now, having defined the Fourier transform in $L^2(mathbbR)$ via this indirect route, you might ask yourself if there is a more practical procedure to compute it. The first idea that comes to mind is to try to give meaning to the $L^1(mathbbR)$ formula: $$ mathcalF(f)(xi)=int_mathbbRf(x)e^-2pi ixxidx,$$
                      also in the $L^2(mathbbR)$ context.
                      As initially said, this can't be, in general, interpreted as a Lebesgue integral. However, what about interpreting it as a improper integral? After all, for subsets $KsubsetmathbbR$ of finite Lebesgue measure, by Holder inequality, we have that $L^2 (K)subset L^1 (K)$ and so, if $fin L^2 (mathbbR)$ and $M>0$, it is well defined the integral: $$int_-M^Mf(x)e^-2pi i xxidx,$$ and we can try to get the limit of this quantity as $Mrightarrowinfty$. So the question: does it hold true for $fin L^2 (mathbbR)$ that $$mathcalF(f)(xi)=lim_Mrightarrowinfty int_-M^Mf(x)e^-2pi i xxidx?$$
                      Well, by Carleson's theorem, this limit exists for a.e. $xiinmathbbR$ and that formula holds true if interpreted as an a.e. $xiinmathbbR$ equality. So, at the end, we have recovered a meaning for the original formula via an improper integral, obtaining in this manner an explicit way to calculate the Fourier transform of a $L^2(mathbbR)$ function.






                      share|cite|improve this answer















                      Being $L^2(mathbbR)backslash L^1(mathbbR)neqemptyset$ and being $int_mathbbRf(x)e^-2pi ixxidx$ well defined as a Lebesgue integral iff $fin L^1(mathbbR)$, you are absolutely right to complain.



                      By the way, you can define the Fourier transform $mathcalF$ for $L^2(mathbbR)$ by a little detour, first defining it by that formula for $L^1(mathbbR)$ functions, then proving that $$forall fin L^1(mathbbR)cap L^2(mathbbR), |mathcalF(f)|_2=|f|_2,$$
                      so the Fourier transform is an isometry and then can be extended uniquely to an isometry on the whole $L^2(mathbbR)$ by continuity and density.



                      Now, having defined the Fourier transform in $L^2(mathbbR)$ via this indirect route, you might ask yourself if there is a more practical procedure to compute it. The first idea that comes to mind is to try to give meaning to the $L^1(mathbbR)$ formula: $$ mathcalF(f)(xi)=int_mathbbRf(x)e^-2pi ixxidx,$$
                      also in the $L^2(mathbbR)$ context.
                      As initially said, this can't be, in general, interpreted as a Lebesgue integral. However, what about interpreting it as a improper integral? After all, for subsets $KsubsetmathbbR$ of finite Lebesgue measure, by Holder inequality, we have that $L^2 (K)subset L^1 (K)$ and so, if $fin L^2 (mathbbR)$ and $M>0$, it is well defined the integral: $$int_-M^Mf(x)e^-2pi i xxidx,$$ and we can try to get the limit of this quantity as $Mrightarrowinfty$. So the question: does it hold true for $fin L^2 (mathbbR)$ that $$mathcalF(f)(xi)=lim_Mrightarrowinfty int_-M^Mf(x)e^-2pi i xxidx?$$
                      Well, by Carleson's theorem, this limit exists for a.e. $xiinmathbbR$ and that formula holds true if interpreted as an a.e. $xiinmathbbR$ equality. So, at the end, we have recovered a meaning for the original formula via an improper integral, obtaining in this manner an explicit way to calculate the Fourier transform of a $L^2(mathbbR)$ function.







                      share|cite|improve this answer















                      share|cite|improve this answer



                      share|cite|improve this answer








                      edited Jul 21 at 9:13


























                      answered Jul 20 at 20:46









                      Bob

                      1,467522




                      1,467522











                      • Just for notation, $L^2backslash L^1$ looks weird since $L^1notsubset L^2$. I would use more $L^2cap (L^1)^c$.
                        – Surb
                        Jul 21 at 8:01







                      • 1




                        @surb en.wikipedia.org/wiki/…
                        – Bob
                        Jul 21 at 8:12
















                      • Just for notation, $L^2backslash L^1$ looks weird since $L^1notsubset L^2$. I would use more $L^2cap (L^1)^c$.
                        – Surb
                        Jul 21 at 8:01







                      • 1




                        @surb en.wikipedia.org/wiki/…
                        – Bob
                        Jul 21 at 8:12















                      Just for notation, $L^2backslash L^1$ looks weird since $L^1notsubset L^2$. I would use more $L^2cap (L^1)^c$.
                      – Surb
                      Jul 21 at 8:01





                      Just for notation, $L^2backslash L^1$ looks weird since $L^1notsubset L^2$. I would use more $L^2cap (L^1)^c$.
                      – Surb
                      Jul 21 at 8:01





                      1




                      1




                      @surb en.wikipedia.org/wiki/…
                      – Bob
                      Jul 21 at 8:12




                      @surb en.wikipedia.org/wiki/…
                      – Bob
                      Jul 21 at 8:12












                       

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