Express matrix in more compact form












1












$begingroup$


I have the following sum:
$$
S = sum_{j=1}^n sum_{k=1}^n a_{jk} x_j^T B x_k
$$

where $x_j$ is a vector of length $m$, and $B$ is an $m times m$ positive definite matrix, and $a_{jk}$ are positive scalars. I want to rewrite this sum as a symmetric bilinear form
$$
S = x^T C x
$$

where $x$ is a vector of length $nm$:
$$
x = begin{pmatrix}
x_1 \
x_2 \
vdots \
x_n
end{pmatrix}
$$

and $C$ is an $nm times nm$ matrix. By writing out all the terms, I found that:
$$
C = begin{pmatrix}
a_{11} B & a_{12} B & dots & a_{1n} B \
a_{21} B & a_{22} B & dots & a_{2n} B \
vdots & vdots & vdots & vdots \
a_{n1} B & a_{n2} B & dots & a_{nn} B
end{pmatrix}
$$

My question is: is there a way to express this matrix in a more elegant, compact form, using the matrix $A_{ij} = a_{ij}$ and $B$, without having to write out all the entries like above?










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    1












    $begingroup$


    I have the following sum:
    $$
    S = sum_{j=1}^n sum_{k=1}^n a_{jk} x_j^T B x_k
    $$

    where $x_j$ is a vector of length $m$, and $B$ is an $m times m$ positive definite matrix, and $a_{jk}$ are positive scalars. I want to rewrite this sum as a symmetric bilinear form
    $$
    S = x^T C x
    $$

    where $x$ is a vector of length $nm$:
    $$
    x = begin{pmatrix}
    x_1 \
    x_2 \
    vdots \
    x_n
    end{pmatrix}
    $$

    and $C$ is an $nm times nm$ matrix. By writing out all the terms, I found that:
    $$
    C = begin{pmatrix}
    a_{11} B & a_{12} B & dots & a_{1n} B \
    a_{21} B & a_{22} B & dots & a_{2n} B \
    vdots & vdots & vdots & vdots \
    a_{n1} B & a_{n2} B & dots & a_{nn} B
    end{pmatrix}
    $$

    My question is: is there a way to express this matrix in a more elegant, compact form, using the matrix $A_{ij} = a_{ij}$ and $B$, without having to write out all the entries like above?










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      I have the following sum:
      $$
      S = sum_{j=1}^n sum_{k=1}^n a_{jk} x_j^T B x_k
      $$

      where $x_j$ is a vector of length $m$, and $B$ is an $m times m$ positive definite matrix, and $a_{jk}$ are positive scalars. I want to rewrite this sum as a symmetric bilinear form
      $$
      S = x^T C x
      $$

      where $x$ is a vector of length $nm$:
      $$
      x = begin{pmatrix}
      x_1 \
      x_2 \
      vdots \
      x_n
      end{pmatrix}
      $$

      and $C$ is an $nm times nm$ matrix. By writing out all the terms, I found that:
      $$
      C = begin{pmatrix}
      a_{11} B & a_{12} B & dots & a_{1n} B \
      a_{21} B & a_{22} B & dots & a_{2n} B \
      vdots & vdots & vdots & vdots \
      a_{n1} B & a_{n2} B & dots & a_{nn} B
      end{pmatrix}
      $$

      My question is: is there a way to express this matrix in a more elegant, compact form, using the matrix $A_{ij} = a_{ij}$ and $B$, without having to write out all the entries like above?










      share|cite|improve this question









      $endgroup$




      I have the following sum:
      $$
      S = sum_{j=1}^n sum_{k=1}^n a_{jk} x_j^T B x_k
      $$

      where $x_j$ is a vector of length $m$, and $B$ is an $m times m$ positive definite matrix, and $a_{jk}$ are positive scalars. I want to rewrite this sum as a symmetric bilinear form
      $$
      S = x^T C x
      $$

      where $x$ is a vector of length $nm$:
      $$
      x = begin{pmatrix}
      x_1 \
      x_2 \
      vdots \
      x_n
      end{pmatrix}
      $$

      and $C$ is an $nm times nm$ matrix. By writing out all the terms, I found that:
      $$
      C = begin{pmatrix}
      a_{11} B & a_{12} B & dots & a_{1n} B \
      a_{21} B & a_{22} B & dots & a_{2n} B \
      vdots & vdots & vdots & vdots \
      a_{n1} B & a_{n2} B & dots & a_{nn} B
      end{pmatrix}
      $$

      My question is: is there a way to express this matrix in a more elegant, compact form, using the matrix $A_{ij} = a_{ij}$ and $B$, without having to write out all the entries like above?







      linear-algebra matrix-equations






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      asked Dec 10 '18 at 19:15









      vibevibe

      1748




      1748






















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          $begingroup$

          Your matrix $C$ is the Kronecker product $C = A otimes B$.






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            1 Answer
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            active

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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

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            3












            $begingroup$

            Your matrix $C$ is the Kronecker product $C = A otimes B$.






            share|cite|improve this answer









            $endgroup$


















              3












              $begingroup$

              Your matrix $C$ is the Kronecker product $C = A otimes B$.






              share|cite|improve this answer









              $endgroup$
















                3












                3








                3





                $begingroup$

                Your matrix $C$ is the Kronecker product $C = A otimes B$.






                share|cite|improve this answer









                $endgroup$



                Your matrix $C$ is the Kronecker product $C = A otimes B$.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Dec 10 '18 at 19:17









                OmnomnomnomOmnomnomnom

                129k792185




                129k792185






























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