Derivative of matrix using Kronecker Product












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$begingroup$


Suppose $ A(p)$ and $B(p) $ are functions which map $ mathbb{R}^{ntimes m} $ to $ mathbb{R}^{ntimes m} $ and
$$F(p)=S(I_{q}otimes A(p))(I_{q}otimes B(p))M$$
where $ S,M $ are constant matrices with dimension $ qntimes qn $ and $ qmtimes qm $ respectively. How to calculate
$$frac{dtext{vec}(F(p))}{dtext{vec}(p))}$$



Thank you very much!










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    1












    $begingroup$


    Suppose $ A(p)$ and $B(p) $ are functions which map $ mathbb{R}^{ntimes m} $ to $ mathbb{R}^{ntimes m} $ and
    $$F(p)=S(I_{q}otimes A(p))(I_{q}otimes B(p))M$$
    where $ S,M $ are constant matrices with dimension $ qntimes qn $ and $ qmtimes qm $ respectively. How to calculate
    $$frac{dtext{vec}(F(p))}{dtext{vec}(p))}$$



    Thank you very much!










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      Suppose $ A(p)$ and $B(p) $ are functions which map $ mathbb{R}^{ntimes m} $ to $ mathbb{R}^{ntimes m} $ and
      $$F(p)=S(I_{q}otimes A(p))(I_{q}otimes B(p))M$$
      where $ S,M $ are constant matrices with dimension $ qntimes qn $ and $ qmtimes qm $ respectively. How to calculate
      $$frac{dtext{vec}(F(p))}{dtext{vec}(p))}$$



      Thank you very much!










      share|cite|improve this question









      $endgroup$




      Suppose $ A(p)$ and $B(p) $ are functions which map $ mathbb{R}^{ntimes m} $ to $ mathbb{R}^{ntimes m} $ and
      $$F(p)=S(I_{q}otimes A(p))(I_{q}otimes B(p))M$$
      where $ S,M $ are constant matrices with dimension $ qntimes qn $ and $ qmtimes qm $ respectively. How to calculate
      $$frac{dtext{vec}(F(p))}{dtext{vec}(p))}$$



      Thank you very much!







      derivatives matrix-calculus kronecker-product






      share|cite|improve this question













      share|cite|improve this question











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      asked Dec 5 '18 at 14:45









      Yufang CuiYufang Cui

      184




      184






















          1 Answer
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          $begingroup$

          Let $,C=AB,$ and note that
          $$(Iotimes A)(Iotimes B)= Iotimes C$$
          Let's also use the convention where an uppercase letter denotes a matrix and a lowercase letter a vector, which are related by vectorization, e.g.
          $$a={rm vec}(A),,,,b={rm vec}(B),,,,c={rm vec}(C),,,,etc$$
          Finally, we'll need the SVD of the rightmost matrix in your function.
          $$M = sum_k sigma_ku_kv_k^T$$
          Break the function into components (corresponding to an SVD component).
          $$eqalign{
          F_k &= S(Iotimes C)u_kv_k^Tsigma_k cr
          &= S,{rm vec}(CU_k),v_k^Tsigma_k cr
          &= S(U_k^Totimes I),cv_k^Tsigma_k cr
          f_k &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big),c cr
          }$$

          Now find the derivative of this (vectorized) component matrix.
          $$eqalign{
          frac{partial f_k}{partial p}
          &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p} cr
          }$$

          And since $F = sum_k F_k,$ we have our answer
          $$eqalign{
          frac{partial f}{partial p}
          &= sum_kBig(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p}
          }$$

          I'll leave it to you to work out the derivative on the far RHS, seeing as you told us nothing about the functional form of $A(P)$ and $B(P)$ and therefore of $C(P)$.






          share|cite|improve this answer











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            active

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            1












            $begingroup$

            Let $,C=AB,$ and note that
            $$(Iotimes A)(Iotimes B)= Iotimes C$$
            Let's also use the convention where an uppercase letter denotes a matrix and a lowercase letter a vector, which are related by vectorization, e.g.
            $$a={rm vec}(A),,,,b={rm vec}(B),,,,c={rm vec}(C),,,,etc$$
            Finally, we'll need the SVD of the rightmost matrix in your function.
            $$M = sum_k sigma_ku_kv_k^T$$
            Break the function into components (corresponding to an SVD component).
            $$eqalign{
            F_k &= S(Iotimes C)u_kv_k^Tsigma_k cr
            &= S,{rm vec}(CU_k),v_k^Tsigma_k cr
            &= S(U_k^Totimes I),cv_k^Tsigma_k cr
            f_k &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big),c cr
            }$$

            Now find the derivative of this (vectorized) component matrix.
            $$eqalign{
            frac{partial f_k}{partial p}
            &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p} cr
            }$$

            And since $F = sum_k F_k,$ we have our answer
            $$eqalign{
            frac{partial f}{partial p}
            &= sum_kBig(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p}
            }$$

            I'll leave it to you to work out the derivative on the far RHS, seeing as you told us nothing about the functional form of $A(P)$ and $B(P)$ and therefore of $C(P)$.






            share|cite|improve this answer











            $endgroup$


















              1












              $begingroup$

              Let $,C=AB,$ and note that
              $$(Iotimes A)(Iotimes B)= Iotimes C$$
              Let's also use the convention where an uppercase letter denotes a matrix and a lowercase letter a vector, which are related by vectorization, e.g.
              $$a={rm vec}(A),,,,b={rm vec}(B),,,,c={rm vec}(C),,,,etc$$
              Finally, we'll need the SVD of the rightmost matrix in your function.
              $$M = sum_k sigma_ku_kv_k^T$$
              Break the function into components (corresponding to an SVD component).
              $$eqalign{
              F_k &= S(Iotimes C)u_kv_k^Tsigma_k cr
              &= S,{rm vec}(CU_k),v_k^Tsigma_k cr
              &= S(U_k^Totimes I),cv_k^Tsigma_k cr
              f_k &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big),c cr
              }$$

              Now find the derivative of this (vectorized) component matrix.
              $$eqalign{
              frac{partial f_k}{partial p}
              &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p} cr
              }$$

              And since $F = sum_k F_k,$ we have our answer
              $$eqalign{
              frac{partial f}{partial p}
              &= sum_kBig(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p}
              }$$

              I'll leave it to you to work out the derivative on the far RHS, seeing as you told us nothing about the functional form of $A(P)$ and $B(P)$ and therefore of $C(P)$.






              share|cite|improve this answer











              $endgroup$
















                1












                1








                1





                $begingroup$

                Let $,C=AB,$ and note that
                $$(Iotimes A)(Iotimes B)= Iotimes C$$
                Let's also use the convention where an uppercase letter denotes a matrix and a lowercase letter a vector, which are related by vectorization, e.g.
                $$a={rm vec}(A),,,,b={rm vec}(B),,,,c={rm vec}(C),,,,etc$$
                Finally, we'll need the SVD of the rightmost matrix in your function.
                $$M = sum_k sigma_ku_kv_k^T$$
                Break the function into components (corresponding to an SVD component).
                $$eqalign{
                F_k &= S(Iotimes C)u_kv_k^Tsigma_k cr
                &= S,{rm vec}(CU_k),v_k^Tsigma_k cr
                &= S(U_k^Totimes I),cv_k^Tsigma_k cr
                f_k &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big),c cr
                }$$

                Now find the derivative of this (vectorized) component matrix.
                $$eqalign{
                frac{partial f_k}{partial p}
                &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p} cr
                }$$

                And since $F = sum_k F_k,$ we have our answer
                $$eqalign{
                frac{partial f}{partial p}
                &= sum_kBig(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p}
                }$$

                I'll leave it to you to work out the derivative on the far RHS, seeing as you told us nothing about the functional form of $A(P)$ and $B(P)$ and therefore of $C(P)$.






                share|cite|improve this answer











                $endgroup$



                Let $,C=AB,$ and note that
                $$(Iotimes A)(Iotimes B)= Iotimes C$$
                Let's also use the convention where an uppercase letter denotes a matrix and a lowercase letter a vector, which are related by vectorization, e.g.
                $$a={rm vec}(A),,,,b={rm vec}(B),,,,c={rm vec}(C),,,,etc$$
                Finally, we'll need the SVD of the rightmost matrix in your function.
                $$M = sum_k sigma_ku_kv_k^T$$
                Break the function into components (corresponding to an SVD component).
                $$eqalign{
                F_k &= S(Iotimes C)u_kv_k^Tsigma_k cr
                &= S,{rm vec}(CU_k),v_k^Tsigma_k cr
                &= S(U_k^Totimes I),cv_k^Tsigma_k cr
                f_k &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big),c cr
                }$$

                Now find the derivative of this (vectorized) component matrix.
                $$eqalign{
                frac{partial f_k}{partial p}
                &= Big(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p} cr
                }$$

                And since $F = sum_k F_k,$ we have our answer
                $$eqalign{
                frac{partial f}{partial p}
                &= sum_kBig(sigma_kv_kotimesbig(S(U_k^Totimes I)big)Big)frac{partial c}{partial p}
                }$$

                I'll leave it to you to work out the derivative on the far RHS, seeing as you told us nothing about the functional form of $A(P)$ and $B(P)$ and therefore of $C(P)$.







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited Dec 13 '18 at 20:46

























                answered Dec 13 '18 at 2:41









                greggreg

                7,8101821




                7,8101821






























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