Lie Bracket and Matrix Groups












1












$begingroup$


The lie bracket appears in manifolds and matrix groups. For manifolds a tangent vector $X$ is $$X(p)=sum_{i=1}^n a_i(p) frac{partial}{partial x_i}$$ where there is the parametrization $mathbf{x}:Usubsetmathbb{R}^nto M$ and $frac{partial}{partial x_i}$ is the basis associated with $mathbf{x}$.
Then the change in a function $f$ in the direction of $X$ is
$$(Xf)(p) = sum_i a_i(p) frac{partial f}{partial x_i}(p)$$
The lie bracket of $[X,Y]$ is $(XY-YX)f$ and that expression amounts to applying the above formula for $(Xf)(p)$ multiple times.



Consider a matrix lie group $G$ with lie algebra $T_1(G)$, for example orthogonal matrices and skew-symmetric matrices. The lie bracket is also $XY-YX$ but this is matrix multiplication. This expression can come from considering $C_s(t)=A(s)B(t)A(s)^{-1}$, $C_s'(0)=A(s)YA(s)^{-1}$, $D(s)=A(s)YA(s)^{-1}$,$D'(0)=XY-YX$. But is there a way this can be understood in the previous manifold description of $XY-YX$ which involves tangent vectors where $XYf$ is applying the dot product of a tangent vector with the gradient of a function and doing this twice whereas in the matrix context this was matrix multiplication. Can this all be reconciled?










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$endgroup$

















    1












    $begingroup$


    The lie bracket appears in manifolds and matrix groups. For manifolds a tangent vector $X$ is $$X(p)=sum_{i=1}^n a_i(p) frac{partial}{partial x_i}$$ where there is the parametrization $mathbf{x}:Usubsetmathbb{R}^nto M$ and $frac{partial}{partial x_i}$ is the basis associated with $mathbf{x}$.
    Then the change in a function $f$ in the direction of $X$ is
    $$(Xf)(p) = sum_i a_i(p) frac{partial f}{partial x_i}(p)$$
    The lie bracket of $[X,Y]$ is $(XY-YX)f$ and that expression amounts to applying the above formula for $(Xf)(p)$ multiple times.



    Consider a matrix lie group $G$ with lie algebra $T_1(G)$, for example orthogonal matrices and skew-symmetric matrices. The lie bracket is also $XY-YX$ but this is matrix multiplication. This expression can come from considering $C_s(t)=A(s)B(t)A(s)^{-1}$, $C_s'(0)=A(s)YA(s)^{-1}$, $D(s)=A(s)YA(s)^{-1}$,$D'(0)=XY-YX$. But is there a way this can be understood in the previous manifold description of $XY-YX$ which involves tangent vectors where $XYf$ is applying the dot product of a tangent vector with the gradient of a function and doing this twice whereas in the matrix context this was matrix multiplication. Can this all be reconciled?










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      The lie bracket appears in manifolds and matrix groups. For manifolds a tangent vector $X$ is $$X(p)=sum_{i=1}^n a_i(p) frac{partial}{partial x_i}$$ where there is the parametrization $mathbf{x}:Usubsetmathbb{R}^nto M$ and $frac{partial}{partial x_i}$ is the basis associated with $mathbf{x}$.
      Then the change in a function $f$ in the direction of $X$ is
      $$(Xf)(p) = sum_i a_i(p) frac{partial f}{partial x_i}(p)$$
      The lie bracket of $[X,Y]$ is $(XY-YX)f$ and that expression amounts to applying the above formula for $(Xf)(p)$ multiple times.



      Consider a matrix lie group $G$ with lie algebra $T_1(G)$, for example orthogonal matrices and skew-symmetric matrices. The lie bracket is also $XY-YX$ but this is matrix multiplication. This expression can come from considering $C_s(t)=A(s)B(t)A(s)^{-1}$, $C_s'(0)=A(s)YA(s)^{-1}$, $D(s)=A(s)YA(s)^{-1}$,$D'(0)=XY-YX$. But is there a way this can be understood in the previous manifold description of $XY-YX$ which involves tangent vectors where $XYf$ is applying the dot product of a tangent vector with the gradient of a function and doing this twice whereas in the matrix context this was matrix multiplication. Can this all be reconciled?










      share|cite|improve this question









      $endgroup$




      The lie bracket appears in manifolds and matrix groups. For manifolds a tangent vector $X$ is $$X(p)=sum_{i=1}^n a_i(p) frac{partial}{partial x_i}$$ where there is the parametrization $mathbf{x}:Usubsetmathbb{R}^nto M$ and $frac{partial}{partial x_i}$ is the basis associated with $mathbf{x}$.
      Then the change in a function $f$ in the direction of $X$ is
      $$(Xf)(p) = sum_i a_i(p) frac{partial f}{partial x_i}(p)$$
      The lie bracket of $[X,Y]$ is $(XY-YX)f$ and that expression amounts to applying the above formula for $(Xf)(p)$ multiple times.



      Consider a matrix lie group $G$ with lie algebra $T_1(G)$, for example orthogonal matrices and skew-symmetric matrices. The lie bracket is also $XY-YX$ but this is matrix multiplication. This expression can come from considering $C_s(t)=A(s)B(t)A(s)^{-1}$, $C_s'(0)=A(s)YA(s)^{-1}$, $D(s)=A(s)YA(s)^{-1}$,$D'(0)=XY-YX$. But is there a way this can be understood in the previous manifold description of $XY-YX$ which involves tangent vectors where $XYf$ is applying the dot product of a tangent vector with the gradient of a function and doing this twice whereas in the matrix context this was matrix multiplication. Can this all be reconciled?







      lie-groups lie-algebras






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      asked Jan 20 at 2:56









      user782220user782220

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          $begingroup$

          Remark that $Gl(n,mathbb{R})$ is an open subset of the vector space $M(n,mathbb{R})$ so for every $gin Gl(n,mathbb{R})$, $T_gGl(n,mathbb{R})=M(n,mathbb{R})$. Let $X$ be an element of $M(n,mathbb{R})$ it defines a vector field on $Gl(n,mathbb{R})$ such that $X(g)=gXin T_gGl(n,mathbb{R})$ where we consider the multiplication of matrices.



          For every function $f$ defined on $Gl(n,mathbb{R})$, $(Xf)(g)=df_g(X(g)=df_ggX$, we deduce that $(Y(Xf)(g)=d^2f.X(g).Y(g)+YX(g)$ since the differential of $l_X:grightarrow gX$ is $l_X$ since $l_X$ is linear.



          This implies that $[X,Y](f)=[XY-YX]g$ since $d^2f.X(g).Y(g)=d^2f.Y(g).X(g).$






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            what is $df_g$ given that $f:Gl(n,mathbf{R})to mathbf{R}$
            $endgroup$
            – user782220
            Jan 21 at 0:22










          • $begingroup$
            It is the differential of $f$, you can consider $Gl(n,R)$ as an open subset of the vector space $M(n,R)$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 0:28












          • $begingroup$
            But what does that look like given $M(n,R)$. Normally the differential is in the context of something like $R^n to R$
            $endgroup$
            – user782220
            Jan 21 at 1:11










          • $begingroup$
            The differential of a function $f$ at $x$ is a linear map $df_x$ defined on the tangent space of $mathbb{R}^n$ at $x$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 1:30













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          active

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          0












          $begingroup$

          Remark that $Gl(n,mathbb{R})$ is an open subset of the vector space $M(n,mathbb{R})$ so for every $gin Gl(n,mathbb{R})$, $T_gGl(n,mathbb{R})=M(n,mathbb{R})$. Let $X$ be an element of $M(n,mathbb{R})$ it defines a vector field on $Gl(n,mathbb{R})$ such that $X(g)=gXin T_gGl(n,mathbb{R})$ where we consider the multiplication of matrices.



          For every function $f$ defined on $Gl(n,mathbb{R})$, $(Xf)(g)=df_g(X(g)=df_ggX$, we deduce that $(Y(Xf)(g)=d^2f.X(g).Y(g)+YX(g)$ since the differential of $l_X:grightarrow gX$ is $l_X$ since $l_X$ is linear.



          This implies that $[X,Y](f)=[XY-YX]g$ since $d^2f.X(g).Y(g)=d^2f.Y(g).X(g).$






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            what is $df_g$ given that $f:Gl(n,mathbf{R})to mathbf{R}$
            $endgroup$
            – user782220
            Jan 21 at 0:22










          • $begingroup$
            It is the differential of $f$, you can consider $Gl(n,R)$ as an open subset of the vector space $M(n,R)$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 0:28












          • $begingroup$
            But what does that look like given $M(n,R)$. Normally the differential is in the context of something like $R^n to R$
            $endgroup$
            – user782220
            Jan 21 at 1:11










          • $begingroup$
            The differential of a function $f$ at $x$ is a linear map $df_x$ defined on the tangent space of $mathbb{R}^n$ at $x$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 1:30


















          0












          $begingroup$

          Remark that $Gl(n,mathbb{R})$ is an open subset of the vector space $M(n,mathbb{R})$ so for every $gin Gl(n,mathbb{R})$, $T_gGl(n,mathbb{R})=M(n,mathbb{R})$. Let $X$ be an element of $M(n,mathbb{R})$ it defines a vector field on $Gl(n,mathbb{R})$ such that $X(g)=gXin T_gGl(n,mathbb{R})$ where we consider the multiplication of matrices.



          For every function $f$ defined on $Gl(n,mathbb{R})$, $(Xf)(g)=df_g(X(g)=df_ggX$, we deduce that $(Y(Xf)(g)=d^2f.X(g).Y(g)+YX(g)$ since the differential of $l_X:grightarrow gX$ is $l_X$ since $l_X$ is linear.



          This implies that $[X,Y](f)=[XY-YX]g$ since $d^2f.X(g).Y(g)=d^2f.Y(g).X(g).$






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            what is $df_g$ given that $f:Gl(n,mathbf{R})to mathbf{R}$
            $endgroup$
            – user782220
            Jan 21 at 0:22










          • $begingroup$
            It is the differential of $f$, you can consider $Gl(n,R)$ as an open subset of the vector space $M(n,R)$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 0:28












          • $begingroup$
            But what does that look like given $M(n,R)$. Normally the differential is in the context of something like $R^n to R$
            $endgroup$
            – user782220
            Jan 21 at 1:11










          • $begingroup$
            The differential of a function $f$ at $x$ is a linear map $df_x$ defined on the tangent space of $mathbb{R}^n$ at $x$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 1:30
















          0












          0








          0





          $begingroup$

          Remark that $Gl(n,mathbb{R})$ is an open subset of the vector space $M(n,mathbb{R})$ so for every $gin Gl(n,mathbb{R})$, $T_gGl(n,mathbb{R})=M(n,mathbb{R})$. Let $X$ be an element of $M(n,mathbb{R})$ it defines a vector field on $Gl(n,mathbb{R})$ such that $X(g)=gXin T_gGl(n,mathbb{R})$ where we consider the multiplication of matrices.



          For every function $f$ defined on $Gl(n,mathbb{R})$, $(Xf)(g)=df_g(X(g)=df_ggX$, we deduce that $(Y(Xf)(g)=d^2f.X(g).Y(g)+YX(g)$ since the differential of $l_X:grightarrow gX$ is $l_X$ since $l_X$ is linear.



          This implies that $[X,Y](f)=[XY-YX]g$ since $d^2f.X(g).Y(g)=d^2f.Y(g).X(g).$






          share|cite|improve this answer











          $endgroup$



          Remark that $Gl(n,mathbb{R})$ is an open subset of the vector space $M(n,mathbb{R})$ so for every $gin Gl(n,mathbb{R})$, $T_gGl(n,mathbb{R})=M(n,mathbb{R})$. Let $X$ be an element of $M(n,mathbb{R})$ it defines a vector field on $Gl(n,mathbb{R})$ such that $X(g)=gXin T_gGl(n,mathbb{R})$ where we consider the multiplication of matrices.



          For every function $f$ defined on $Gl(n,mathbb{R})$, $(Xf)(g)=df_g(X(g)=df_ggX$, we deduce that $(Y(Xf)(g)=d^2f.X(g).Y(g)+YX(g)$ since the differential of $l_X:grightarrow gX$ is $l_X$ since $l_X$ is linear.



          This implies that $[X,Y](f)=[XY-YX]g$ since $d^2f.X(g).Y(g)=d^2f.Y(g).X(g).$







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Jan 20 at 6:59

























          answered Jan 20 at 6:51









          Tsemo AristideTsemo Aristide

          58.9k11445




          58.9k11445












          • $begingroup$
            what is $df_g$ given that $f:Gl(n,mathbf{R})to mathbf{R}$
            $endgroup$
            – user782220
            Jan 21 at 0:22










          • $begingroup$
            It is the differential of $f$, you can consider $Gl(n,R)$ as an open subset of the vector space $M(n,R)$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 0:28












          • $begingroup$
            But what does that look like given $M(n,R)$. Normally the differential is in the context of something like $R^n to R$
            $endgroup$
            – user782220
            Jan 21 at 1:11










          • $begingroup$
            The differential of a function $f$ at $x$ is a linear map $df_x$ defined on the tangent space of $mathbb{R}^n$ at $x$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 1:30




















          • $begingroup$
            what is $df_g$ given that $f:Gl(n,mathbf{R})to mathbf{R}$
            $endgroup$
            – user782220
            Jan 21 at 0:22










          • $begingroup$
            It is the differential of $f$, you can consider $Gl(n,R)$ as an open subset of the vector space $M(n,R)$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 0:28












          • $begingroup$
            But what does that look like given $M(n,R)$. Normally the differential is in the context of something like $R^n to R$
            $endgroup$
            – user782220
            Jan 21 at 1:11










          • $begingroup$
            The differential of a function $f$ at $x$ is a linear map $df_x$ defined on the tangent space of $mathbb{R}^n$ at $x$.
            $endgroup$
            – Tsemo Aristide
            Jan 21 at 1:30


















          $begingroup$
          what is $df_g$ given that $f:Gl(n,mathbf{R})to mathbf{R}$
          $endgroup$
          – user782220
          Jan 21 at 0:22




          $begingroup$
          what is $df_g$ given that $f:Gl(n,mathbf{R})to mathbf{R}$
          $endgroup$
          – user782220
          Jan 21 at 0:22












          $begingroup$
          It is the differential of $f$, you can consider $Gl(n,R)$ as an open subset of the vector space $M(n,R)$.
          $endgroup$
          – Tsemo Aristide
          Jan 21 at 0:28






          $begingroup$
          It is the differential of $f$, you can consider $Gl(n,R)$ as an open subset of the vector space $M(n,R)$.
          $endgroup$
          – Tsemo Aristide
          Jan 21 at 0:28














          $begingroup$
          But what does that look like given $M(n,R)$. Normally the differential is in the context of something like $R^n to R$
          $endgroup$
          – user782220
          Jan 21 at 1:11




          $begingroup$
          But what does that look like given $M(n,R)$. Normally the differential is in the context of something like $R^n to R$
          $endgroup$
          – user782220
          Jan 21 at 1:11












          $begingroup$
          The differential of a function $f$ at $x$ is a linear map $df_x$ defined on the tangent space of $mathbb{R}^n$ at $x$.
          $endgroup$
          – Tsemo Aristide
          Jan 21 at 1:30






          $begingroup$
          The differential of a function $f$ at $x$ is a linear map $df_x$ defined on the tangent space of $mathbb{R}^n$ at $x$.
          $endgroup$
          – Tsemo Aristide
          Jan 21 at 1:30




















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