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Does polynomial keep inverse?


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1












$begingroup$


Let $A=(a_i,j)_ntimes n$ be an invertible matrix with the positive rational entry. Let $p(x)$ be a rational polynomial. Consider the following matrix
beginalign*
B=left(p(a_i,j)right)_ntimes n.
endalign*

Assume that $a_i,j$ is not a zero of $p(x)$ for any $1leq i,jleq n$.
Then I am wondering whether $B$ is invertible?



A more general question can be raised as follows:
Let $f(x)$ be a real function. If each $a_i,j$ is not a zero of $f(x)$, then when is the matrix $D=left(f(a_i,j)right)_ntimes n$ invertible?



Any help will be appreciated!:)










share|cite|improve this question









$endgroup$
















    1












    $begingroup$


    Let $A=(a_i,j)_ntimes n$ be an invertible matrix with the positive rational entry. Let $p(x)$ be a rational polynomial. Consider the following matrix
    beginalign*
    B=left(p(a_i,j)right)_ntimes n.
    endalign*

    Assume that $a_i,j$ is not a zero of $p(x)$ for any $1leq i,jleq n$.
    Then I am wondering whether $B$ is invertible?



    A more general question can be raised as follows:
    Let $f(x)$ be a real function. If each $a_i,j$ is not a zero of $f(x)$, then when is the matrix $D=left(f(a_i,j)right)_ntimes n$ invertible?



    Any help will be appreciated!:)










    share|cite|improve this question









    $endgroup$














      1












      1








      1





      $begingroup$


      Let $A=(a_i,j)_ntimes n$ be an invertible matrix with the positive rational entry. Let $p(x)$ be a rational polynomial. Consider the following matrix
      beginalign*
      B=left(p(a_i,j)right)_ntimes n.
      endalign*

      Assume that $a_i,j$ is not a zero of $p(x)$ for any $1leq i,jleq n$.
      Then I am wondering whether $B$ is invertible?



      A more general question can be raised as follows:
      Let $f(x)$ be a real function. If each $a_i,j$ is not a zero of $f(x)$, then when is the matrix $D=left(f(a_i,j)right)_ntimes n$ invertible?



      Any help will be appreciated!:)










      share|cite|improve this question









      $endgroup$




      Let $A=(a_i,j)_ntimes n$ be an invertible matrix with the positive rational entry. Let $p(x)$ be a rational polynomial. Consider the following matrix
      beginalign*
      B=left(p(a_i,j)right)_ntimes n.
      endalign*

      Assume that $a_i,j$ is not a zero of $p(x)$ for any $1leq i,jleq n$.
      Then I am wondering whether $B$ is invertible?



      A more general question can be raised as follows:
      Let $f(x)$ be a real function. If each $a_i,j$ is not a zero of $f(x)$, then when is the matrix $D=left(f(a_i,j)right)_ntimes n$ invertible?



      Any help will be appreciated!:)







      linear-algebra matrices polynomials determinant inverse






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Mar 11 at 10:16









      VerMoriartyVerMoriarty

      1538




      1538




















          2 Answers
          2






          active

          oldest

          votes


















          3












          $begingroup$

          No. Take $p(x)=(x-1)^2$ and let $A=left[beginsmallmatrix2&0\0&2endsmallmatrixright]$. Then$$beginvmatrixp(2)&p(0)\p(0)&p(2)endvmatrix=beginvmatrix1&1\1&1endvmatrix=0,$$but $det Aneq0$.






          share|cite|improve this answer









          $endgroup$




















            1












            $begingroup$

            I am not giving you a straight answer, but will say something that will help you see what all things can happen.



            Actually we can easily see the other direction. All matrices are square and size $ntimes n$, for some fixed $n>1$.



            Let $A$ be a fixed matrix with all entries different. For an arbitrary matrix $X$
            we can find a polynomial $p(x)$ such that $x_i,j= p(a_i,j)$.
            This is Lagrange Interpolation Theorem (Numerical mathematics, or Chinese Remainder Theorem).



            So this covers $X$ singular as well as non-singular.



            Now you should be able to see.






            share|cite|improve this answer









            $endgroup$












              Your Answer





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              2 Answers
              2






              active

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              active

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              active

              oldest

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              3












              $begingroup$

              No. Take $p(x)=(x-1)^2$ and let $A=left[beginsmallmatrix2&0\0&2endsmallmatrixright]$. Then$$beginvmatrixp(2)&p(0)\p(0)&p(2)endvmatrix=beginvmatrix1&1\1&1endvmatrix=0,$$but $det Aneq0$.






              share|cite|improve this answer









              $endgroup$

















                3












                $begingroup$

                No. Take $p(x)=(x-1)^2$ and let $A=left[beginsmallmatrix2&0\0&2endsmallmatrixright]$. Then$$beginvmatrixp(2)&p(0)\p(0)&p(2)endvmatrix=beginvmatrix1&1\1&1endvmatrix=0,$$but $det Aneq0$.






                share|cite|improve this answer









                $endgroup$















                  3












                  3








                  3





                  $begingroup$

                  No. Take $p(x)=(x-1)^2$ and let $A=left[beginsmallmatrix2&0\0&2endsmallmatrixright]$. Then$$beginvmatrixp(2)&p(0)\p(0)&p(2)endvmatrix=beginvmatrix1&1\1&1endvmatrix=0,$$but $det Aneq0$.






                  share|cite|improve this answer









                  $endgroup$



                  No. Take $p(x)=(x-1)^2$ and let $A=left[beginsmallmatrix2&0\0&2endsmallmatrixright]$. Then$$beginvmatrixp(2)&p(0)\p(0)&p(2)endvmatrix=beginvmatrix1&1\1&1endvmatrix=0,$$but $det Aneq0$.







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Mar 11 at 10:21









                  José Carlos SantosJosé Carlos Santos

                  167k22132235




                  167k22132235





















                      1












                      $begingroup$

                      I am not giving you a straight answer, but will say something that will help you see what all things can happen.



                      Actually we can easily see the other direction. All matrices are square and size $ntimes n$, for some fixed $n>1$.



                      Let $A$ be a fixed matrix with all entries different. For an arbitrary matrix $X$
                      we can find a polynomial $p(x)$ such that $x_i,j= p(a_i,j)$.
                      This is Lagrange Interpolation Theorem (Numerical mathematics, or Chinese Remainder Theorem).



                      So this covers $X$ singular as well as non-singular.



                      Now you should be able to see.






                      share|cite|improve this answer









                      $endgroup$

















                        1












                        $begingroup$

                        I am not giving you a straight answer, but will say something that will help you see what all things can happen.



                        Actually we can easily see the other direction. All matrices are square and size $ntimes n$, for some fixed $n>1$.



                        Let $A$ be a fixed matrix with all entries different. For an arbitrary matrix $X$
                        we can find a polynomial $p(x)$ such that $x_i,j= p(a_i,j)$.
                        This is Lagrange Interpolation Theorem (Numerical mathematics, or Chinese Remainder Theorem).



                        So this covers $X$ singular as well as non-singular.



                        Now you should be able to see.






                        share|cite|improve this answer









                        $endgroup$















                          1












                          1








                          1





                          $begingroup$

                          I am not giving you a straight answer, but will say something that will help you see what all things can happen.



                          Actually we can easily see the other direction. All matrices are square and size $ntimes n$, for some fixed $n>1$.



                          Let $A$ be a fixed matrix with all entries different. For an arbitrary matrix $X$
                          we can find a polynomial $p(x)$ such that $x_i,j= p(a_i,j)$.
                          This is Lagrange Interpolation Theorem (Numerical mathematics, or Chinese Remainder Theorem).



                          So this covers $X$ singular as well as non-singular.



                          Now you should be able to see.






                          share|cite|improve this answer









                          $endgroup$



                          I am not giving you a straight answer, but will say something that will help you see what all things can happen.



                          Actually we can easily see the other direction. All matrices are square and size $ntimes n$, for some fixed $n>1$.



                          Let $A$ be a fixed matrix with all entries different. For an arbitrary matrix $X$
                          we can find a polynomial $p(x)$ such that $x_i,j= p(a_i,j)$.
                          This is Lagrange Interpolation Theorem (Numerical mathematics, or Chinese Remainder Theorem).



                          So this covers $X$ singular as well as non-singular.



                          Now you should be able to see.







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered Mar 11 at 10:32









                          P VanchinathanP Vanchinathan

                          15.5k12136




                          15.5k12136



























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