When does $y^T (A^{-1})^T x = y^T (A^{-1}) x$ for invertible $A$












1












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Background: Trying to do a Cauchy expansion. I want to show that for $M = begin{bmatrix}k & x^T\y & Aend{bmatrix}$, $det(M) = det(A) cdot (k - y^T A^{-1} x)$ for invertible A. Note, M is a 2-by-2 block matrix.



So I take the transpose of M, giving:



$$det begin{bmatrix}k & x^T\y & Aend{bmatrix} = det begin{bmatrix}k & y^T\x & A^Tend{bmatrix}$$



Then using the Schur complement, I get $det begin{bmatrix}k & y^T\x & A^Tend{bmatrix} = det(A^T) cdot det(k - y^T (A^T)^{-1} x) = det(A) cdot (k - y^T (A^{-1})^T x)$.



Close, but not quite what I want.




When $A$ is invertible, are there any rules relating $y^T (A^{-1})^T x$ and $y^T (A^{-1}) x$?











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    1












    $begingroup$


    Background: Trying to do a Cauchy expansion. I want to show that for $M = begin{bmatrix}k & x^T\y & Aend{bmatrix}$, $det(M) = det(A) cdot (k - y^T A^{-1} x)$ for invertible A. Note, M is a 2-by-2 block matrix.



    So I take the transpose of M, giving:



    $$det begin{bmatrix}k & x^T\y & Aend{bmatrix} = det begin{bmatrix}k & y^T\x & A^Tend{bmatrix}$$



    Then using the Schur complement, I get $det begin{bmatrix}k & y^T\x & A^Tend{bmatrix} = det(A^T) cdot det(k - y^T (A^T)^{-1} x) = det(A) cdot (k - y^T (A^{-1})^T x)$.



    Close, but not quite what I want.




    When $A$ is invertible, are there any rules relating $y^T (A^{-1})^T x$ and $y^T (A^{-1}) x$?











    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      Background: Trying to do a Cauchy expansion. I want to show that for $M = begin{bmatrix}k & x^T\y & Aend{bmatrix}$, $det(M) = det(A) cdot (k - y^T A^{-1} x)$ for invertible A. Note, M is a 2-by-2 block matrix.



      So I take the transpose of M, giving:



      $$det begin{bmatrix}k & x^T\y & Aend{bmatrix} = det begin{bmatrix}k & y^T\x & A^Tend{bmatrix}$$



      Then using the Schur complement, I get $det begin{bmatrix}k & y^T\x & A^Tend{bmatrix} = det(A^T) cdot det(k - y^T (A^T)^{-1} x) = det(A) cdot (k - y^T (A^{-1})^T x)$.



      Close, but not quite what I want.




      When $A$ is invertible, are there any rules relating $y^T (A^{-1})^T x$ and $y^T (A^{-1}) x$?











      share|cite|improve this question









      $endgroup$




      Background: Trying to do a Cauchy expansion. I want to show that for $M = begin{bmatrix}k & x^T\y & Aend{bmatrix}$, $det(M) = det(A) cdot (k - y^T A^{-1} x)$ for invertible A. Note, M is a 2-by-2 block matrix.



      So I take the transpose of M, giving:



      $$det begin{bmatrix}k & x^T\y & Aend{bmatrix} = det begin{bmatrix}k & y^T\x & A^Tend{bmatrix}$$



      Then using the Schur complement, I get $det begin{bmatrix}k & y^T\x & A^Tend{bmatrix} = det(A^T) cdot det(k - y^T (A^T)^{-1} x) = det(A) cdot (k - y^T (A^{-1})^T x)$.



      Close, but not quite what I want.




      When $A$ is invertible, are there any rules relating $y^T (A^{-1})^T x$ and $y^T (A^{-1}) x$?








      linear-algebra matrices






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      asked Jan 22 at 7:20









      T. FoT. Fo

      466311




      466311






















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          $begingroup$

          The equation $y^{T}(A^{-1})^{T}x=y^{T}A^{-1}x$ holds for all $x$ and $y$ iff $(A^{-1})^{T}=A^{-1}$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Just take $x=e_{i}, y=e_{j}$ for $i,j=1, ldots, n$. Then its clear. Here $e_i$ is a coloumn vector with 1 on $i^{th}$ position and 0 everywhere elses.
            $endgroup$
            – Shubham Namdeo
            Jan 22 at 8:08













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          active

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          2












          $begingroup$

          The equation $y^{T}(A^{-1})^{T}x=y^{T}A^{-1}x$ holds for all $x$ and $y$ iff $(A^{-1})^{T}=A^{-1}$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Just take $x=e_{i}, y=e_{j}$ for $i,j=1, ldots, n$. Then its clear. Here $e_i$ is a coloumn vector with 1 on $i^{th}$ position and 0 everywhere elses.
            $endgroup$
            – Shubham Namdeo
            Jan 22 at 8:08


















          2












          $begingroup$

          The equation $y^{T}(A^{-1})^{T}x=y^{T}A^{-1}x$ holds for all $x$ and $y$ iff $(A^{-1})^{T}=A^{-1}$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Just take $x=e_{i}, y=e_{j}$ for $i,j=1, ldots, n$. Then its clear. Here $e_i$ is a coloumn vector with 1 on $i^{th}$ position and 0 everywhere elses.
            $endgroup$
            – Shubham Namdeo
            Jan 22 at 8:08
















          2












          2








          2





          $begingroup$

          The equation $y^{T}(A^{-1})^{T}x=y^{T}A^{-1}x$ holds for all $x$ and $y$ iff $(A^{-1})^{T}=A^{-1}$.






          share|cite|improve this answer









          $endgroup$



          The equation $y^{T}(A^{-1})^{T}x=y^{T}A^{-1}x$ holds for all $x$ and $y$ iff $(A^{-1})^{T}=A^{-1}$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Jan 22 at 7:28









          Kavi Rama MurthyKavi Rama Murthy

          62.9k42362




          62.9k42362












          • $begingroup$
            Just take $x=e_{i}, y=e_{j}$ for $i,j=1, ldots, n$. Then its clear. Here $e_i$ is a coloumn vector with 1 on $i^{th}$ position and 0 everywhere elses.
            $endgroup$
            – Shubham Namdeo
            Jan 22 at 8:08




















          • $begingroup$
            Just take $x=e_{i}, y=e_{j}$ for $i,j=1, ldots, n$. Then its clear. Here $e_i$ is a coloumn vector with 1 on $i^{th}$ position and 0 everywhere elses.
            $endgroup$
            – Shubham Namdeo
            Jan 22 at 8:08


















          $begingroup$
          Just take $x=e_{i}, y=e_{j}$ for $i,j=1, ldots, n$. Then its clear. Here $e_i$ is a coloumn vector with 1 on $i^{th}$ position and 0 everywhere elses.
          $endgroup$
          – Shubham Namdeo
          Jan 22 at 8:08






          $begingroup$
          Just take $x=e_{i}, y=e_{j}$ for $i,j=1, ldots, n$. Then its clear. Here $e_i$ is a coloumn vector with 1 on $i^{th}$ position and 0 everywhere elses.
          $endgroup$
          – Shubham Namdeo
          Jan 22 at 8:08




















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