Fast Fourier Transform with Negative Integer Exponent The Next CEO of Stack OverflowObtain...

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Fast Fourier Transform with Negative Integer Exponent



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Given $f(x)=ax+b+frac{c}{x}$ and $N$, I'd like to ask how to calculate $sum_{i=1}^{N}f(x)^i$ efficiently using fast Fourier transform?










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$endgroup$












  • $begingroup$
    It works same way as with polynomials. Just place constant term in middle.
    $endgroup$
    – mathreadler
    Mar 17 at 18:34
















0












$begingroup$


Given $f(x)=ax+b+frac{c}{x}$ and $N$, I'd like to ask how to calculate $sum_{i=1}^{N}f(x)^i$ efficiently using fast Fourier transform?










share|cite|improve this question











$endgroup$












  • $begingroup$
    It works same way as with polynomials. Just place constant term in middle.
    $endgroup$
    – mathreadler
    Mar 17 at 18:34














0












0








0


0



$begingroup$


Given $f(x)=ax+b+frac{c}{x}$ and $N$, I'd like to ask how to calculate $sum_{i=1}^{N}f(x)^i$ efficiently using fast Fourier transform?










share|cite|improve this question











$endgroup$




Given $f(x)=ax+b+frac{c}{x}$ and $N$, I'd like to ask how to calculate $sum_{i=1}^{N}f(x)^i$ efficiently using fast Fourier transform?







combinatorics computational-complexity convolution fast-fourier-transform






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Mar 17 at 18:00









Max

9711319




9711319










asked Mar 17 at 17:30









Hang WuHang Wu

501311




501311












  • $begingroup$
    It works same way as with polynomials. Just place constant term in middle.
    $endgroup$
    – mathreadler
    Mar 17 at 18:34


















  • $begingroup$
    It works same way as with polynomials. Just place constant term in middle.
    $endgroup$
    – mathreadler
    Mar 17 at 18:34
















$begingroup$
It works same way as with polynomials. Just place constant term in middle.
$endgroup$
– mathreadler
Mar 17 at 18:34




$begingroup$
It works same way as with polynomials. Just place constant term in middle.
$endgroup$
– mathreadler
Mar 17 at 18:34










2 Answers
2






active

oldest

votes


















0












$begingroup$

Power series multiplication is convolution in terms of coefficients, but multiplication in Fourier transform domain of coefficients.



This is thanks to the Convolution Theorem, which can be written for example



$$(f * g)(t) = mathcal F^{-1}(mathcal F(f)cdot mathcal F(g))(t)$$






share|cite|improve this answer









$endgroup$





















    0












    $begingroup$

    No need to FFT! Just write $$sum_{i=1}^{N}f(x)^i=f(x){1-f^{N+1}(x)over 1-f(x)}=left(ax+b+frac{c}{x}right){1-left(ax+b+frac{c}{x}right)^{N+1}over 1-left(ax+b+frac{c}{x}right)}$$






    share|cite|improve this answer









    $endgroup$














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      2 Answers
      2






      active

      oldest

      votes








      2 Answers
      2






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      0












      $begingroup$

      Power series multiplication is convolution in terms of coefficients, but multiplication in Fourier transform domain of coefficients.



      This is thanks to the Convolution Theorem, which can be written for example



      $$(f * g)(t) = mathcal F^{-1}(mathcal F(f)cdot mathcal F(g))(t)$$






      share|cite|improve this answer









      $endgroup$


















        0












        $begingroup$

        Power series multiplication is convolution in terms of coefficients, but multiplication in Fourier transform domain of coefficients.



        This is thanks to the Convolution Theorem, which can be written for example



        $$(f * g)(t) = mathcal F^{-1}(mathcal F(f)cdot mathcal F(g))(t)$$






        share|cite|improve this answer









        $endgroup$
















          0












          0








          0





          $begingroup$

          Power series multiplication is convolution in terms of coefficients, but multiplication in Fourier transform domain of coefficients.



          This is thanks to the Convolution Theorem, which can be written for example



          $$(f * g)(t) = mathcal F^{-1}(mathcal F(f)cdot mathcal F(g))(t)$$






          share|cite|improve this answer









          $endgroup$



          Power series multiplication is convolution in terms of coefficients, but multiplication in Fourier transform domain of coefficients.



          This is thanks to the Convolution Theorem, which can be written for example



          $$(f * g)(t) = mathcal F^{-1}(mathcal F(f)cdot mathcal F(g))(t)$$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Mar 17 at 18:12









          mathreadlermathreadler

          15.3k72263




          15.3k72263























              0












              $begingroup$

              No need to FFT! Just write $$sum_{i=1}^{N}f(x)^i=f(x){1-f^{N+1}(x)over 1-f(x)}=left(ax+b+frac{c}{x}right){1-left(ax+b+frac{c}{x}right)^{N+1}over 1-left(ax+b+frac{c}{x}right)}$$






              share|cite|improve this answer









              $endgroup$


















                0












                $begingroup$

                No need to FFT! Just write $$sum_{i=1}^{N}f(x)^i=f(x){1-f^{N+1}(x)over 1-f(x)}=left(ax+b+frac{c}{x}right){1-left(ax+b+frac{c}{x}right)^{N+1}over 1-left(ax+b+frac{c}{x}right)}$$






                share|cite|improve this answer









                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  No need to FFT! Just write $$sum_{i=1}^{N}f(x)^i=f(x){1-f^{N+1}(x)over 1-f(x)}=left(ax+b+frac{c}{x}right){1-left(ax+b+frac{c}{x}right)^{N+1}over 1-left(ax+b+frac{c}{x}right)}$$






                  share|cite|improve this answer









                  $endgroup$



                  No need to FFT! Just write $$sum_{i=1}^{N}f(x)^i=f(x){1-f^{N+1}(x)over 1-f(x)}=left(ax+b+frac{c}{x}right){1-left(ax+b+frac{c}{x}right)^{N+1}over 1-left(ax+b+frac{c}{x}right)}$$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Mar 17 at 21:03









                  Mostafa AyazMostafa Ayaz

                  18.3k31040




                  18.3k31040






























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