prove Gram's determinant invariant under orthogonalisation











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let $mathcal H$ be a Hilbert space, and let $g_1,...g_nin mathcal H$. let $G(g_1,...g_n)$ be Gram's determinant:



$left|{begin{array}{ccc}
left(g_{1},g_{1}right) & dots & left(g_{1},g_{n}right)\
vdots & ddots & vdots\
left(g_{n},g_{1}right) & dots & left(g_{n},g_{n}right)
end{array}}right|$



write $(h_1,...h_n)$ to be the result of orthogonalisating $(g_1,...g_n)$, without normalizing the vectors. I want to show that
$G(g_1,...g_n)=G(h_1,...h_n)$



It's not hard to see that suffices to show $G(g_1,...g_n)=G(g_1,h_2,g_3,...g_n)$ when $h_2=g_2+alpha g_1$, such that $g_1perp h_2$. but I didn't manage to finish that up. I tried to calculate it directly, but it gets mass.










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    up vote
    0
    down vote

    favorite












    let $mathcal H$ be a Hilbert space, and let $g_1,...g_nin mathcal H$. let $G(g_1,...g_n)$ be Gram's determinant:



    $left|{begin{array}{ccc}
    left(g_{1},g_{1}right) & dots & left(g_{1},g_{n}right)\
    vdots & ddots & vdots\
    left(g_{n},g_{1}right) & dots & left(g_{n},g_{n}right)
    end{array}}right|$



    write $(h_1,...h_n)$ to be the result of orthogonalisating $(g_1,...g_n)$, without normalizing the vectors. I want to show that
    $G(g_1,...g_n)=G(h_1,...h_n)$



    It's not hard to see that suffices to show $G(g_1,...g_n)=G(g_1,h_2,g_3,...g_n)$ when $h_2=g_2+alpha g_1$, such that $g_1perp h_2$. but I didn't manage to finish that up. I tried to calculate it directly, but it gets mass.










    share|cite|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      let $mathcal H$ be a Hilbert space, and let $g_1,...g_nin mathcal H$. let $G(g_1,...g_n)$ be Gram's determinant:



      $left|{begin{array}{ccc}
      left(g_{1},g_{1}right) & dots & left(g_{1},g_{n}right)\
      vdots & ddots & vdots\
      left(g_{n},g_{1}right) & dots & left(g_{n},g_{n}right)
      end{array}}right|$



      write $(h_1,...h_n)$ to be the result of orthogonalisating $(g_1,...g_n)$, without normalizing the vectors. I want to show that
      $G(g_1,...g_n)=G(h_1,...h_n)$



      It's not hard to see that suffices to show $G(g_1,...g_n)=G(g_1,h_2,g_3,...g_n)$ when $h_2=g_2+alpha g_1$, such that $g_1perp h_2$. but I didn't manage to finish that up. I tried to calculate it directly, but it gets mass.










      share|cite|improve this question















      let $mathcal H$ be a Hilbert space, and let $g_1,...g_nin mathcal H$. let $G(g_1,...g_n)$ be Gram's determinant:



      $left|{begin{array}{ccc}
      left(g_{1},g_{1}right) & dots & left(g_{1},g_{n}right)\
      vdots & ddots & vdots\
      left(g_{n},g_{1}right) & dots & left(g_{n},g_{n}right)
      end{array}}right|$



      write $(h_1,...h_n)$ to be the result of orthogonalisating $(g_1,...g_n)$, without normalizing the vectors. I want to show that
      $G(g_1,...g_n)=G(h_1,...h_n)$



      It's not hard to see that suffices to show $G(g_1,...g_n)=G(g_1,h_2,g_3,...g_n)$ when $h_2=g_2+alpha g_1$, such that $g_1perp h_2$. but I didn't manage to finish that up. I tried to calculate it directly, but it gets mass.







      functional-analysis hilbert-spaces






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      edited Nov 22 at 15:57

























      asked Nov 22 at 14:46









      S. R

      886




      886






















          1 Answer
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          Try in 2D first. We have $h_2 = g_2 - (g_1,g_2)g_1$. Let $t = (g_1,g_2)$ and lets say its an inner product over $mathbb R$. Let $mathcal G$ be the matrix whose determinant is $G$.
          $$
          mathcal G(g_1,h_2)=
          begin{bmatrix}
          |g_1|^2 & (g_1,h_2)\
          (h_2,g_1) & |g_2|^2
          end{bmatrix}
          =
          begin{bmatrix}
          |g_1|^2 & t-t|g_1|^2\
          t-t|g_1|^2 & |g_2|^2-2t^2 + t^2|g_1|^2
          end{bmatrix}
          $$

          This matrix can be obtained from
          $$ mathcal G (g_1,g_2) =
          begin{bmatrix}
          |g_1|^2 & t\
          t & |g_2|^2
          end{bmatrix}
          $$

          by subtracting $t$ times row 1 from row 2 and then from this new matrix subtracting $t$ times column 1 from column 2. Both operations used are valid elementary operations represented by matrices of determinant 1, so the determinant is unchanged.



          For higher dimensions you see the emergence of terms
          begin{align} |h_2|^2 &= |g_2|^2 - 2t^2 +t^2|g_1|^2 quad &(text{ same as before }) \
          (h_2,g_i) &= (g_2,g_i) - t(g_1,g_i) & ineq 2end{align}

          The original entries of the second row of $mathcal G(g_i)$ would have been $(g_2,g_i)$. If we subtract $t$ times the first row we get
          $$ (g_2,g_i) - t(g_1,g_i)$$
          as needed, except the diagonal term.
          If we then subtract $t$ times the first column, again the same terms appear, and the diagonal term is now exactly as in the $2times 2$ case.






          share|cite|improve this answer























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            1 Answer
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            active

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            1 Answer
            1






            active

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            active

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            active

            oldest

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            up vote
            0
            down vote



            accepted










            Try in 2D first. We have $h_2 = g_2 - (g_1,g_2)g_1$. Let $t = (g_1,g_2)$ and lets say its an inner product over $mathbb R$. Let $mathcal G$ be the matrix whose determinant is $G$.
            $$
            mathcal G(g_1,h_2)=
            begin{bmatrix}
            |g_1|^2 & (g_1,h_2)\
            (h_2,g_1) & |g_2|^2
            end{bmatrix}
            =
            begin{bmatrix}
            |g_1|^2 & t-t|g_1|^2\
            t-t|g_1|^2 & |g_2|^2-2t^2 + t^2|g_1|^2
            end{bmatrix}
            $$

            This matrix can be obtained from
            $$ mathcal G (g_1,g_2) =
            begin{bmatrix}
            |g_1|^2 & t\
            t & |g_2|^2
            end{bmatrix}
            $$

            by subtracting $t$ times row 1 from row 2 and then from this new matrix subtracting $t$ times column 1 from column 2. Both operations used are valid elementary operations represented by matrices of determinant 1, so the determinant is unchanged.



            For higher dimensions you see the emergence of terms
            begin{align} |h_2|^2 &= |g_2|^2 - 2t^2 +t^2|g_1|^2 quad &(text{ same as before }) \
            (h_2,g_i) &= (g_2,g_i) - t(g_1,g_i) & ineq 2end{align}

            The original entries of the second row of $mathcal G(g_i)$ would have been $(g_2,g_i)$. If we subtract $t$ times the first row we get
            $$ (g_2,g_i) - t(g_1,g_i)$$
            as needed, except the diagonal term.
            If we then subtract $t$ times the first column, again the same terms appear, and the diagonal term is now exactly as in the $2times 2$ case.






            share|cite|improve this answer



























              up vote
              0
              down vote



              accepted










              Try in 2D first. We have $h_2 = g_2 - (g_1,g_2)g_1$. Let $t = (g_1,g_2)$ and lets say its an inner product over $mathbb R$. Let $mathcal G$ be the matrix whose determinant is $G$.
              $$
              mathcal G(g_1,h_2)=
              begin{bmatrix}
              |g_1|^2 & (g_1,h_2)\
              (h_2,g_1) & |g_2|^2
              end{bmatrix}
              =
              begin{bmatrix}
              |g_1|^2 & t-t|g_1|^2\
              t-t|g_1|^2 & |g_2|^2-2t^2 + t^2|g_1|^2
              end{bmatrix}
              $$

              This matrix can be obtained from
              $$ mathcal G (g_1,g_2) =
              begin{bmatrix}
              |g_1|^2 & t\
              t & |g_2|^2
              end{bmatrix}
              $$

              by subtracting $t$ times row 1 from row 2 and then from this new matrix subtracting $t$ times column 1 from column 2. Both operations used are valid elementary operations represented by matrices of determinant 1, so the determinant is unchanged.



              For higher dimensions you see the emergence of terms
              begin{align} |h_2|^2 &= |g_2|^2 - 2t^2 +t^2|g_1|^2 quad &(text{ same as before }) \
              (h_2,g_i) &= (g_2,g_i) - t(g_1,g_i) & ineq 2end{align}

              The original entries of the second row of $mathcal G(g_i)$ would have been $(g_2,g_i)$. If we subtract $t$ times the first row we get
              $$ (g_2,g_i) - t(g_1,g_i)$$
              as needed, except the diagonal term.
              If we then subtract $t$ times the first column, again the same terms appear, and the diagonal term is now exactly as in the $2times 2$ case.






              share|cite|improve this answer

























                up vote
                0
                down vote



                accepted







                up vote
                0
                down vote



                accepted






                Try in 2D first. We have $h_2 = g_2 - (g_1,g_2)g_1$. Let $t = (g_1,g_2)$ and lets say its an inner product over $mathbb R$. Let $mathcal G$ be the matrix whose determinant is $G$.
                $$
                mathcal G(g_1,h_2)=
                begin{bmatrix}
                |g_1|^2 & (g_1,h_2)\
                (h_2,g_1) & |g_2|^2
                end{bmatrix}
                =
                begin{bmatrix}
                |g_1|^2 & t-t|g_1|^2\
                t-t|g_1|^2 & |g_2|^2-2t^2 + t^2|g_1|^2
                end{bmatrix}
                $$

                This matrix can be obtained from
                $$ mathcal G (g_1,g_2) =
                begin{bmatrix}
                |g_1|^2 & t\
                t & |g_2|^2
                end{bmatrix}
                $$

                by subtracting $t$ times row 1 from row 2 and then from this new matrix subtracting $t$ times column 1 from column 2. Both operations used are valid elementary operations represented by matrices of determinant 1, so the determinant is unchanged.



                For higher dimensions you see the emergence of terms
                begin{align} |h_2|^2 &= |g_2|^2 - 2t^2 +t^2|g_1|^2 quad &(text{ same as before }) \
                (h_2,g_i) &= (g_2,g_i) - t(g_1,g_i) & ineq 2end{align}

                The original entries of the second row of $mathcal G(g_i)$ would have been $(g_2,g_i)$. If we subtract $t$ times the first row we get
                $$ (g_2,g_i) - t(g_1,g_i)$$
                as needed, except the diagonal term.
                If we then subtract $t$ times the first column, again the same terms appear, and the diagonal term is now exactly as in the $2times 2$ case.






                share|cite|improve this answer














                Try in 2D first. We have $h_2 = g_2 - (g_1,g_2)g_1$. Let $t = (g_1,g_2)$ and lets say its an inner product over $mathbb R$. Let $mathcal G$ be the matrix whose determinant is $G$.
                $$
                mathcal G(g_1,h_2)=
                begin{bmatrix}
                |g_1|^2 & (g_1,h_2)\
                (h_2,g_1) & |g_2|^2
                end{bmatrix}
                =
                begin{bmatrix}
                |g_1|^2 & t-t|g_1|^2\
                t-t|g_1|^2 & |g_2|^2-2t^2 + t^2|g_1|^2
                end{bmatrix}
                $$

                This matrix can be obtained from
                $$ mathcal G (g_1,g_2) =
                begin{bmatrix}
                |g_1|^2 & t\
                t & |g_2|^2
                end{bmatrix}
                $$

                by subtracting $t$ times row 1 from row 2 and then from this new matrix subtracting $t$ times column 1 from column 2. Both operations used are valid elementary operations represented by matrices of determinant 1, so the determinant is unchanged.



                For higher dimensions you see the emergence of terms
                begin{align} |h_2|^2 &= |g_2|^2 - 2t^2 +t^2|g_1|^2 quad &(text{ same as before }) \
                (h_2,g_i) &= (g_2,g_i) - t(g_1,g_i) & ineq 2end{align}

                The original entries of the second row of $mathcal G(g_i)$ would have been $(g_2,g_i)$. If we subtract $t$ times the first row we get
                $$ (g_2,g_i) - t(g_1,g_i)$$
                as needed, except the diagonal term.
                If we then subtract $t$ times the first column, again the same terms appear, and the diagonal term is now exactly as in the $2times 2$ case.







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited Nov 22 at 17:40

























                answered Nov 22 at 17:27









                Calvin Khor

                10.8k21437




                10.8k21437






























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