What theorem accounts for the decay rate of this Fourier series?











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It is known that the function defined as



$$ f (theta) = frac{1}{2}(pi - theta )$$



for $0< theta < 2 pi $, and $f(0)=0$, and extended periodically to the whole axis has the Fourier series



$$ sum_{n=1}^infty frac{sin ntheta }{n } .$$



Here the Fourier coefficients $F_n$ decay as $O(1/n)$.



My problem is, what theorem tells us this behavior without calculation? The Riemann-Lebesgue theorem only gives $F_n rightarrow 0$. We also have the theorem that if $f$ is in $C^k$, then $F_n = O(1/n^k)$. But here the specific $f$ is not even in $C^0$.










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    Can the lemma in Christian Blatter's answer here be generalized to relax the continuity requirement on $f$?
    – Rahul
    Nov 16 at 9:41















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1
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It is known that the function defined as



$$ f (theta) = frac{1}{2}(pi - theta )$$



for $0< theta < 2 pi $, and $f(0)=0$, and extended periodically to the whole axis has the Fourier series



$$ sum_{n=1}^infty frac{sin ntheta }{n } .$$



Here the Fourier coefficients $F_n$ decay as $O(1/n)$.



My problem is, what theorem tells us this behavior without calculation? The Riemann-Lebesgue theorem only gives $F_n rightarrow 0$. We also have the theorem that if $f$ is in $C^k$, then $F_n = O(1/n^k)$. But here the specific $f$ is not even in $C^0$.










share|cite|improve this question


















  • 1




    Can the lemma in Christian Blatter's answer here be generalized to relax the continuity requirement on $f$?
    – Rahul
    Nov 16 at 9:41













up vote
1
down vote

favorite









up vote
1
down vote

favorite











It is known that the function defined as



$$ f (theta) = frac{1}{2}(pi - theta )$$



for $0< theta < 2 pi $, and $f(0)=0$, and extended periodically to the whole axis has the Fourier series



$$ sum_{n=1}^infty frac{sin ntheta }{n } .$$



Here the Fourier coefficients $F_n$ decay as $O(1/n)$.



My problem is, what theorem tells us this behavior without calculation? The Riemann-Lebesgue theorem only gives $F_n rightarrow 0$. We also have the theorem that if $f$ is in $C^k$, then $F_n = O(1/n^k)$. But here the specific $f$ is not even in $C^0$.










share|cite|improve this question













It is known that the function defined as



$$ f (theta) = frac{1}{2}(pi - theta )$$



for $0< theta < 2 pi $, and $f(0)=0$, and extended periodically to the whole axis has the Fourier series



$$ sum_{n=1}^infty frac{sin ntheta }{n } .$$



Here the Fourier coefficients $F_n$ decay as $O(1/n)$.



My problem is, what theorem tells us this behavior without calculation? The Riemann-Lebesgue theorem only gives $F_n rightarrow 0$. We also have the theorem that if $f$ is in $C^k$, then $F_n = O(1/n^k)$. But here the specific $f$ is not even in $C^0$.







analysis fourier-analysis






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asked Nov 16 at 9:17









pie

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  • 1




    Can the lemma in Christian Blatter's answer here be generalized to relax the continuity requirement on $f$?
    – Rahul
    Nov 16 at 9:41














  • 1




    Can the lemma in Christian Blatter's answer here be generalized to relax the continuity requirement on $f$?
    – Rahul
    Nov 16 at 9:41








1




1




Can the lemma in Christian Blatter's answer here be generalized to relax the continuity requirement on $f$?
– Rahul
Nov 16 at 9:41




Can the lemma in Christian Blatter's answer here be generalized to relax the continuity requirement on $f$?
– Rahul
Nov 16 at 9:41










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For functions of bounded variation, we can show that its Fourier coefficient is $mathcal{O}(1/n)$. For a proof, you can start with a monotone function. Finally, noting that
$$ int_0^{2pi}f(x)e^{-inx}dx=-int_0^{2pi}f(x+frac{pi}{n})e^{-inx}dx$$ would give the desired result.






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    Another argument is that by differentiating the jump becomes a delta-function, whose Fourier series is constant, but differentiation in Fourier space causes the $n$th Fourier coefficient to be multiplied by $n$. So $1/n$ behaviour indicates a jump of finite size (and can sometimes be useful in checking Fourier calculations).






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      2 Answers
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      For functions of bounded variation, we can show that its Fourier coefficient is $mathcal{O}(1/n)$. For a proof, you can start with a monotone function. Finally, noting that
      $$ int_0^{2pi}f(x)e^{-inx}dx=-int_0^{2pi}f(x+frac{pi}{n})e^{-inx}dx$$ would give the desired result.






      share|cite|improve this answer

























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        For functions of bounded variation, we can show that its Fourier coefficient is $mathcal{O}(1/n)$. For a proof, you can start with a monotone function. Finally, noting that
        $$ int_0^{2pi}f(x)e^{-inx}dx=-int_0^{2pi}f(x+frac{pi}{n})e^{-inx}dx$$ would give the desired result.






        share|cite|improve this answer























          up vote
          2
          down vote










          up vote
          2
          down vote









          For functions of bounded variation, we can show that its Fourier coefficient is $mathcal{O}(1/n)$. For a proof, you can start with a monotone function. Finally, noting that
          $$ int_0^{2pi}f(x)e^{-inx}dx=-int_0^{2pi}f(x+frac{pi}{n})e^{-inx}dx$$ would give the desired result.






          share|cite|improve this answer












          For functions of bounded variation, we can show that its Fourier coefficient is $mathcal{O}(1/n)$. For a proof, you can start with a monotone function. Finally, noting that
          $$ int_0^{2pi}f(x)e^{-inx}dx=-int_0^{2pi}f(x+frac{pi}{n})e^{-inx}dx$$ would give the desired result.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Nov 16 at 10:05









          Song

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              Another argument is that by differentiating the jump becomes a delta-function, whose Fourier series is constant, but differentiation in Fourier space causes the $n$th Fourier coefficient to be multiplied by $n$. So $1/n$ behaviour indicates a jump of finite size (and can sometimes be useful in checking Fourier calculations).






              share|cite|improve this answer

























                up vote
                2
                down vote













                Another argument is that by differentiating the jump becomes a delta-function, whose Fourier series is constant, but differentiation in Fourier space causes the $n$th Fourier coefficient to be multiplied by $n$. So $1/n$ behaviour indicates a jump of finite size (and can sometimes be useful in checking Fourier calculations).






                share|cite|improve this answer























                  up vote
                  2
                  down vote










                  up vote
                  2
                  down vote









                  Another argument is that by differentiating the jump becomes a delta-function, whose Fourier series is constant, but differentiation in Fourier space causes the $n$th Fourier coefficient to be multiplied by $n$. So $1/n$ behaviour indicates a jump of finite size (and can sometimes be useful in checking Fourier calculations).






                  share|cite|improve this answer












                  Another argument is that by differentiating the jump becomes a delta-function, whose Fourier series is constant, but differentiation in Fourier space causes the $n$th Fourier coefficient to be multiplied by $n$. So $1/n$ behaviour indicates a jump of finite size (and can sometimes be useful in checking Fourier calculations).







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Nov 16 at 10:50









                  Richard Martin

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