Calculating the real triagonal form from a complex triagonal matrix












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I am writing a custom 3x3 Matrix Exponentiator in C for specific complex Hermitian matrices of the form
$$
left(begin{matrix}
q+z & x-iy & 0 \
x+iy & 0 & x-iy \
0 & x+iy & q-z \
end{matrix}right)
$$



I am basing my algorithm off Kopp's hybrid algorithm (https://arxiv.org/pdf/physics/0610206.pdf, https://www.mpi-hd.mpg.de/personalhomes/globes/3x3/index.html). His algorithm works fine for my purposes but I am looking for additional speed ups.
This uses the QL algorithm as a method for calculating eigenvectors when the analytical method fails.



The first step of the QL algorithm is to convert the matrix to real tridiagonal form.



The matrix is already in a complex tridiagonal form. Is there a simple analytical way to convert from a complex tridiagonal matrix to a real tridiagonal? Specifically what is the real tridiagonal matrix of this matrix?










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    0












    $begingroup$


    I am writing a custom 3x3 Matrix Exponentiator in C for specific complex Hermitian matrices of the form
    $$
    left(begin{matrix}
    q+z & x-iy & 0 \
    x+iy & 0 & x-iy \
    0 & x+iy & q-z \
    end{matrix}right)
    $$



    I am basing my algorithm off Kopp's hybrid algorithm (https://arxiv.org/pdf/physics/0610206.pdf, https://www.mpi-hd.mpg.de/personalhomes/globes/3x3/index.html). His algorithm works fine for my purposes but I am looking for additional speed ups.
    This uses the QL algorithm as a method for calculating eigenvectors when the analytical method fails.



    The first step of the QL algorithm is to convert the matrix to real tridiagonal form.



    The matrix is already in a complex tridiagonal form. Is there a simple analytical way to convert from a complex tridiagonal matrix to a real tridiagonal? Specifically what is the real tridiagonal matrix of this matrix?










    share|cite|improve this question









    $endgroup$















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      0








      0


      1



      $begingroup$


      I am writing a custom 3x3 Matrix Exponentiator in C for specific complex Hermitian matrices of the form
      $$
      left(begin{matrix}
      q+z & x-iy & 0 \
      x+iy & 0 & x-iy \
      0 & x+iy & q-z \
      end{matrix}right)
      $$



      I am basing my algorithm off Kopp's hybrid algorithm (https://arxiv.org/pdf/physics/0610206.pdf, https://www.mpi-hd.mpg.de/personalhomes/globes/3x3/index.html). His algorithm works fine for my purposes but I am looking for additional speed ups.
      This uses the QL algorithm as a method for calculating eigenvectors when the analytical method fails.



      The first step of the QL algorithm is to convert the matrix to real tridiagonal form.



      The matrix is already in a complex tridiagonal form. Is there a simple analytical way to convert from a complex tridiagonal matrix to a real tridiagonal? Specifically what is the real tridiagonal matrix of this matrix?










      share|cite|improve this question









      $endgroup$




      I am writing a custom 3x3 Matrix Exponentiator in C for specific complex Hermitian matrices of the form
      $$
      left(begin{matrix}
      q+z & x-iy & 0 \
      x+iy & 0 & x-iy \
      0 & x+iy & q-z \
      end{matrix}right)
      $$



      I am basing my algorithm off Kopp's hybrid algorithm (https://arxiv.org/pdf/physics/0610206.pdf, https://www.mpi-hd.mpg.de/personalhomes/globes/3x3/index.html). His algorithm works fine for my purposes but I am looking for additional speed ups.
      This uses the QL algorithm as a method for calculating eigenvectors when the analytical method fails.



      The first step of the QL algorithm is to convert the matrix to real tridiagonal form.



      The matrix is already in a complex tridiagonal form. Is there a simple analytical way to convert from a complex tridiagonal matrix to a real tridiagonal? Specifically what is the real tridiagonal matrix of this matrix?







      linear-algebra numerical-linear-algebra






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      asked Jan 10 at 21:52









      mathsifunmathsifun

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          The unitary transformation required was
          $$
          left(begin{matrix}
          e^{iphi} & 0 & 0 \
          0 & 1 & 0 \
          0 & 0 & e^{-iphi} \
          end{matrix}right)
          $$



          where $phi=Arg(x+iy)$






          share|cite|improve this answer









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            1 Answer
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            $begingroup$

            The unitary transformation required was
            $$
            left(begin{matrix}
            e^{iphi} & 0 & 0 \
            0 & 1 & 0 \
            0 & 0 & e^{-iphi} \
            end{matrix}right)
            $$



            where $phi=Arg(x+iy)$






            share|cite|improve this answer









            $endgroup$


















              0












              $begingroup$

              The unitary transformation required was
              $$
              left(begin{matrix}
              e^{iphi} & 0 & 0 \
              0 & 1 & 0 \
              0 & 0 & e^{-iphi} \
              end{matrix}right)
              $$



              where $phi=Arg(x+iy)$






              share|cite|improve this answer









              $endgroup$
















                0












                0








                0





                $begingroup$

                The unitary transformation required was
                $$
                left(begin{matrix}
                e^{iphi} & 0 & 0 \
                0 & 1 & 0 \
                0 & 0 & e^{-iphi} \
                end{matrix}right)
                $$



                where $phi=Arg(x+iy)$






                share|cite|improve this answer









                $endgroup$



                The unitary transformation required was
                $$
                left(begin{matrix}
                e^{iphi} & 0 & 0 \
                0 & 1 & 0 \
                0 & 0 & e^{-iphi} \
                end{matrix}right)
                $$



                where $phi=Arg(x+iy)$







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Jan 14 at 0:56









                mathsifunmathsifun

                12




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