An explicit realization of the similarity of the transpose of a matrix in function field.












4














Let $K=mathbb{F}(a,b,c,d)$ be the field of rational functions in four variables over a field $mathbb{F}$. The matrix



$$ A=left( {begin{array}{cc}
a & b \ c & d end{array} } right)$$ over $K$ is conjugate to its transpose. Hence there exists an invertible matrix $P$ over $K$ such that $A^t=PAP^{-1}$. What is an explicit formula for $P$, in terms of $a,b,c,d$ ? Can we choose $P$ to have polynomial entries in $a,b,c,d$ ?










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  • If $P$ works, then any scalar times $P$ will also work. So can't you just multiply $P$ with the product of the denominators?
    – Jyrki Lahtonen
    Dec 12 '16 at 7:47










  • Solve the linear equation $M^tP-PM = 0$.
    – Marc Bogaerts
    Dec 15 '16 at 17:12
















4














Let $K=mathbb{F}(a,b,c,d)$ be the field of rational functions in four variables over a field $mathbb{F}$. The matrix



$$ A=left( {begin{array}{cc}
a & b \ c & d end{array} } right)$$ over $K$ is conjugate to its transpose. Hence there exists an invertible matrix $P$ over $K$ such that $A^t=PAP^{-1}$. What is an explicit formula for $P$, in terms of $a,b,c,d$ ? Can we choose $P$ to have polynomial entries in $a,b,c,d$ ?










share|cite|improve this question
























  • If $P$ works, then any scalar times $P$ will also work. So can't you just multiply $P$ with the product of the denominators?
    – Jyrki Lahtonen
    Dec 12 '16 at 7:47










  • Solve the linear equation $M^tP-PM = 0$.
    – Marc Bogaerts
    Dec 15 '16 at 17:12














4












4








4







Let $K=mathbb{F}(a,b,c,d)$ be the field of rational functions in four variables over a field $mathbb{F}$. The matrix



$$ A=left( {begin{array}{cc}
a & b \ c & d end{array} } right)$$ over $K$ is conjugate to its transpose. Hence there exists an invertible matrix $P$ over $K$ such that $A^t=PAP^{-1}$. What is an explicit formula for $P$, in terms of $a,b,c,d$ ? Can we choose $P$ to have polynomial entries in $a,b,c,d$ ?










share|cite|improve this question















Let $K=mathbb{F}(a,b,c,d)$ be the field of rational functions in four variables over a field $mathbb{F}$. The matrix



$$ A=left( {begin{array}{cc}
a & b \ c & d end{array} } right)$$ over $K$ is conjugate to its transpose. Hence there exists an invertible matrix $P$ over $K$ such that $A^t=PAP^{-1}$. What is an explicit formula for $P$, in terms of $a,b,c,d$ ? Can we choose $P$ to have polynomial entries in $a,b,c,d$ ?







linear-algebra abstract-algebra matrices






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edited Dec 12 '16 at 8:23









user26857

39.2k123882




39.2k123882










asked Dec 12 '16 at 1:23









Mathemagician

557411




557411












  • If $P$ works, then any scalar times $P$ will also work. So can't you just multiply $P$ with the product of the denominators?
    – Jyrki Lahtonen
    Dec 12 '16 at 7:47










  • Solve the linear equation $M^tP-PM = 0$.
    – Marc Bogaerts
    Dec 15 '16 at 17:12


















  • If $P$ works, then any scalar times $P$ will also work. So can't you just multiply $P$ with the product of the denominators?
    – Jyrki Lahtonen
    Dec 12 '16 at 7:47










  • Solve the linear equation $M^tP-PM = 0$.
    – Marc Bogaerts
    Dec 15 '16 at 17:12
















If $P$ works, then any scalar times $P$ will also work. So can't you just multiply $P$ with the product of the denominators?
– Jyrki Lahtonen
Dec 12 '16 at 7:47




If $P$ works, then any scalar times $P$ will also work. So can't you just multiply $P$ with the product of the denominators?
– Jyrki Lahtonen
Dec 12 '16 at 7:47












Solve the linear equation $M^tP-PM = 0$.
– Marc Bogaerts
Dec 15 '16 at 17:12




Solve the linear equation $M^tP-PM = 0$.
– Marc Bogaerts
Dec 15 '16 at 17:12










1 Answer
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0














We may take
$$
P=begin{pmatrix} frac{a-d}b & 1 \ 1 & 0 end{pmatrix}.
$$

Then
$$
PA=begin{pmatrix} frac{a(a-d)}b + c & a \ a & bend{pmatrix},
$$

and
$$
A^T P= begin{pmatrix} frac{a(a-d)}b + c & a \ a & b end{pmatrix}.
$$

Thus, $PA=A^T P$, and $P$ is nonsingular.






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    1 Answer
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    1 Answer
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    We may take
    $$
    P=begin{pmatrix} frac{a-d}b & 1 \ 1 & 0 end{pmatrix}.
    $$

    Then
    $$
    PA=begin{pmatrix} frac{a(a-d)}b + c & a \ a & bend{pmatrix},
    $$

    and
    $$
    A^T P= begin{pmatrix} frac{a(a-d)}b + c & a \ a & b end{pmatrix}.
    $$

    Thus, $PA=A^T P$, and $P$ is nonsingular.






    share|cite|improve this answer


























      0














      We may take
      $$
      P=begin{pmatrix} frac{a-d}b & 1 \ 1 & 0 end{pmatrix}.
      $$

      Then
      $$
      PA=begin{pmatrix} frac{a(a-d)}b + c & a \ a & bend{pmatrix},
      $$

      and
      $$
      A^T P= begin{pmatrix} frac{a(a-d)}b + c & a \ a & b end{pmatrix}.
      $$

      Thus, $PA=A^T P$, and $P$ is nonsingular.






      share|cite|improve this answer
























        0












        0








        0






        We may take
        $$
        P=begin{pmatrix} frac{a-d}b & 1 \ 1 & 0 end{pmatrix}.
        $$

        Then
        $$
        PA=begin{pmatrix} frac{a(a-d)}b + c & a \ a & bend{pmatrix},
        $$

        and
        $$
        A^T P= begin{pmatrix} frac{a(a-d)}b + c & a \ a & b end{pmatrix}.
        $$

        Thus, $PA=A^T P$, and $P$ is nonsingular.






        share|cite|improve this answer












        We may take
        $$
        P=begin{pmatrix} frac{a-d}b & 1 \ 1 & 0 end{pmatrix}.
        $$

        Then
        $$
        PA=begin{pmatrix} frac{a(a-d)}b + c & a \ a & bend{pmatrix},
        $$

        and
        $$
        A^T P= begin{pmatrix} frac{a(a-d)}b + c & a \ a & b end{pmatrix}.
        $$

        Thus, $PA=A^T P$, and $P$ is nonsingular.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 24 at 2:40









        i707107

        11.9k21447




        11.9k21447






























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