Matrix factorisation of the Fourier matrix












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I am currently reading a paper Low Communication FMM-Accelerated FFT on GPUs



In that I am not able to understand the definition of the twiddle factor matrix $T_{P, M}$.



The Fourier matrix $F_N$ is defined as:



$[F_N]_{i, j} = omega_N^{ij}$



According to the paper, the Fourier matrix is factorised as :



$ F_N = Pi_{M, P}(I_M otimes F_P) Pi_{P, M} T_{P, M} (I_P otimes F_M) Pi_{M, P}
$



Where $Pi$ is the block to cyclic operator.



The paper defines $T_{P,M}$ as the diagonal matrix of the twiddle factors.



Mathematically:



$[T_{P, M}]_{i, j} = delta_{i, j} omega_{N}^{(imod M) cdot lfloor i/M rfloor}
$



I feel that the above equation is wrong. Because if the matrix is diagonal, then $i < min(P, M)$ meaning that $lfloor i/M rfloor$ will always be 0. This would mean that the $T$ is a diagonal matrix of 1s only.



Can someone help me figure out the correct equation for $T$?










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    0












    $begingroup$


    I am currently reading a paper Low Communication FMM-Accelerated FFT on GPUs



    In that I am not able to understand the definition of the twiddle factor matrix $T_{P, M}$.



    The Fourier matrix $F_N$ is defined as:



    $[F_N]_{i, j} = omega_N^{ij}$



    According to the paper, the Fourier matrix is factorised as :



    $ F_N = Pi_{M, P}(I_M otimes F_P) Pi_{P, M} T_{P, M} (I_P otimes F_M) Pi_{M, P}
    $



    Where $Pi$ is the block to cyclic operator.



    The paper defines $T_{P,M}$ as the diagonal matrix of the twiddle factors.



    Mathematically:



    $[T_{P, M}]_{i, j} = delta_{i, j} omega_{N}^{(imod M) cdot lfloor i/M rfloor}
    $



    I feel that the above equation is wrong. Because if the matrix is diagonal, then $i < min(P, M)$ meaning that $lfloor i/M rfloor$ will always be 0. This would mean that the $T$ is a diagonal matrix of 1s only.



    Can someone help me figure out the correct equation for $T$?










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      I am currently reading a paper Low Communication FMM-Accelerated FFT on GPUs



      In that I am not able to understand the definition of the twiddle factor matrix $T_{P, M}$.



      The Fourier matrix $F_N$ is defined as:



      $[F_N]_{i, j} = omega_N^{ij}$



      According to the paper, the Fourier matrix is factorised as :



      $ F_N = Pi_{M, P}(I_M otimes F_P) Pi_{P, M} T_{P, M} (I_P otimes F_M) Pi_{M, P}
      $



      Where $Pi$ is the block to cyclic operator.



      The paper defines $T_{P,M}$ as the diagonal matrix of the twiddle factors.



      Mathematically:



      $[T_{P, M}]_{i, j} = delta_{i, j} omega_{N}^{(imod M) cdot lfloor i/M rfloor}
      $



      I feel that the above equation is wrong. Because if the matrix is diagonal, then $i < min(P, M)$ meaning that $lfloor i/M rfloor$ will always be 0. This would mean that the $T$ is a diagonal matrix of 1s only.



      Can someone help me figure out the correct equation for $T$?










      share|cite|improve this question











      $endgroup$




      I am currently reading a paper Low Communication FMM-Accelerated FFT on GPUs



      In that I am not able to understand the definition of the twiddle factor matrix $T_{P, M}$.



      The Fourier matrix $F_N$ is defined as:



      $[F_N]_{i, j} = omega_N^{ij}$



      According to the paper, the Fourier matrix is factorised as :



      $ F_N = Pi_{M, P}(I_M otimes F_P) Pi_{P, M} T_{P, M} (I_P otimes F_M) Pi_{M, P}
      $



      Where $Pi$ is the block to cyclic operator.



      The paper defines $T_{P,M}$ as the diagonal matrix of the twiddle factors.



      Mathematically:



      $[T_{P, M}]_{i, j} = delta_{i, j} omega_{N}^{(imod M) cdot lfloor i/M rfloor}
      $



      I feel that the above equation is wrong. Because if the matrix is diagonal, then $i < min(P, M)$ meaning that $lfloor i/M rfloor$ will always be 0. This would mean that the $T$ is a diagonal matrix of 1s only.



      Can someone help me figure out the correct equation for $T$?







      matrix-equations fourier-transform fast-fourier-transform






      share|cite|improve this question















      share|cite|improve this question













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      edited Feb 3 at 0:13









      Keith McClary

      8481412




      8481412










      asked Feb 2 at 16:00









      97amarnathk97amarnathk

      1014




      1014






















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