matrixgroup is a differentiable submanifold of $M_4(mathbb{R})$












1












$begingroup$


My question is already existtent Prove that $mathcal{O}(3,1)$ is a submanifold of $mathcal{M}_4(mathbb{R})$ , but $I$ don't understand the hint and there is no answer (and the question there is not exactly the same question I have). Thus, I put my own question here :



Consider the group $G:={Min M_4(mathbb{R})mid M^{tr}PM=P}$, where $P=operatorname{diag}(1,1,1,-1)$.
The claim is that $G$ is a $6$-dim. (differentiable) submanifold of $M_4(mathbb{R})$.



What I have done so far: Let $fcolon M_4(mathbb{R})to M_4(mathbb{R})$, $$f(M)=M^{tr}PM-P.$$
Then $G=f^{-1}(0)$ and $f$ is continuously differentiable.



For each $Min G$, the map $Df(M)colon M_4(mathbb{R})to operatorname{Im }(Df(M))$ given by $Df(M)=M^{tr}P+PM$ has to be surjective onto a $10$-dimensional subspace of $M_4(mathbb{R})$.

However, how to check $dim operatorname{Im }(Df(M))=10$ (as elementary as possible)? After checking this I can conclude that $G$ is a $6$-dim. submanifold of $M_4(mathbb{R})$.










share|cite|improve this question









$endgroup$

















    1












    $begingroup$


    My question is already existtent Prove that $mathcal{O}(3,1)$ is a submanifold of $mathcal{M}_4(mathbb{R})$ , but $I$ don't understand the hint and there is no answer (and the question there is not exactly the same question I have). Thus, I put my own question here :



    Consider the group $G:={Min M_4(mathbb{R})mid M^{tr}PM=P}$, where $P=operatorname{diag}(1,1,1,-1)$.
    The claim is that $G$ is a $6$-dim. (differentiable) submanifold of $M_4(mathbb{R})$.



    What I have done so far: Let $fcolon M_4(mathbb{R})to M_4(mathbb{R})$, $$f(M)=M^{tr}PM-P.$$
    Then $G=f^{-1}(0)$ and $f$ is continuously differentiable.



    For each $Min G$, the map $Df(M)colon M_4(mathbb{R})to operatorname{Im }(Df(M))$ given by $Df(M)=M^{tr}P+PM$ has to be surjective onto a $10$-dimensional subspace of $M_4(mathbb{R})$.

    However, how to check $dim operatorname{Im }(Df(M))=10$ (as elementary as possible)? After checking this I can conclude that $G$ is a $6$-dim. submanifold of $M_4(mathbb{R})$.










    share|cite|improve this question









    $endgroup$















      1












      1








      1





      $begingroup$


      My question is already existtent Prove that $mathcal{O}(3,1)$ is a submanifold of $mathcal{M}_4(mathbb{R})$ , but $I$ don't understand the hint and there is no answer (and the question there is not exactly the same question I have). Thus, I put my own question here :



      Consider the group $G:={Min M_4(mathbb{R})mid M^{tr}PM=P}$, where $P=operatorname{diag}(1,1,1,-1)$.
      The claim is that $G$ is a $6$-dim. (differentiable) submanifold of $M_4(mathbb{R})$.



      What I have done so far: Let $fcolon M_4(mathbb{R})to M_4(mathbb{R})$, $$f(M)=M^{tr}PM-P.$$
      Then $G=f^{-1}(0)$ and $f$ is continuously differentiable.



      For each $Min G$, the map $Df(M)colon M_4(mathbb{R})to operatorname{Im }(Df(M))$ given by $Df(M)=M^{tr}P+PM$ has to be surjective onto a $10$-dimensional subspace of $M_4(mathbb{R})$.

      However, how to check $dim operatorname{Im }(Df(M))=10$ (as elementary as possible)? After checking this I can conclude that $G$ is a $6$-dim. submanifold of $M_4(mathbb{R})$.










      share|cite|improve this question









      $endgroup$




      My question is already existtent Prove that $mathcal{O}(3,1)$ is a submanifold of $mathcal{M}_4(mathbb{R})$ , but $I$ don't understand the hint and there is no answer (and the question there is not exactly the same question I have). Thus, I put my own question here :



      Consider the group $G:={Min M_4(mathbb{R})mid M^{tr}PM=P}$, where $P=operatorname{diag}(1,1,1,-1)$.
      The claim is that $G$ is a $6$-dim. (differentiable) submanifold of $M_4(mathbb{R})$.



      What I have done so far: Let $fcolon M_4(mathbb{R})to M_4(mathbb{R})$, $$f(M)=M^{tr}PM-P.$$
      Then $G=f^{-1}(0)$ and $f$ is continuously differentiable.



      For each $Min G$, the map $Df(M)colon M_4(mathbb{R})to operatorname{Im }(Df(M))$ given by $Df(M)=M^{tr}P+PM$ has to be surjective onto a $10$-dimensional subspace of $M_4(mathbb{R})$.

      However, how to check $dim operatorname{Im }(Df(M))=10$ (as elementary as possible)? After checking this I can conclude that $G$ is a $6$-dim. submanifold of $M_4(mathbb{R})$.







      analysis multivariable-calculus differential-topology submanifold






      share|cite|improve this question













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      asked Jan 11 at 9:50









      TheAppliedTheoreticalOneTheAppliedTheoreticalOne

      717




      717






















          2 Answers
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          active

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          $begingroup$

          A more direct way to see this which has no need for any explicit calculations by hand: For every symmetric $A$ and $Y$, we can solve $MA+AM^T = Y$ for $M$ by finding any matrix $widetilde{Y}$, symmetric or otherwise, that satisfies $widetilde{Y}+widetilde{Y}^T = Y$ (for example $widetilde{Y}_{ij} := begin{cases} Y_{ij} & i<j \ frac{1}{2}Y_{ii} & i=j \ 0 & i>j end{cases}$ does it) and solving $MA = widetilde{Y}$ for $M$ instead. If $A$ is invertible, the latter is always solvable.






          share|cite|improve this answer











          $endgroup$





















            1












            $begingroup$

            The most elementary way consists in computing $Df_0(E_{ij})$ for each $i,jin{1,2,3,4}$, where $E_{ij}$ is the $4times4$ matrix such that the entry located at the column $i$ and the row $j$ is $1$ and all other entries are $0$. You shall comput $16$ matrices, each of which is symmetric. Then, check that the space that they span is the space of all $4times4$ symmetric matrices, whose dimension is $10$.






            share|cite|improve this answer











            $endgroup$













            • $begingroup$
              I see. Thank you
              $endgroup$
              – TheAppliedTheoreticalOne
              Jan 11 at 11:00










            • $begingroup$
              But you mean $Df(E_{ij})$, right?
              $endgroup$
              – TheAppliedTheoreticalOne
              Jan 11 at 15:47










            • $begingroup$
              Actually, it's $Df_0$, that is, the derivative of $f$ at the null matrix. I've edited my answer.
              $endgroup$
              – José Carlos Santos
              Jan 11 at 15:50










            • $begingroup$
              ah ok, I just realized that $Df(E_{ij})$ is as well not correct, because the $E_{ij}$ are not in G
              $endgroup$
              – TheAppliedTheoreticalOne
              Jan 11 at 15:52










            • $begingroup$
              Ok thanks, but why to consider the derivative of $f$ at the null matrix? I don't understand it
              $endgroup$
              – TheAppliedTheoreticalOne
              Jan 11 at 16:00











            Your Answer





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            2 Answers
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            2 Answers
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            active

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            active

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            active

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            2












            $begingroup$

            A more direct way to see this which has no need for any explicit calculations by hand: For every symmetric $A$ and $Y$, we can solve $MA+AM^T = Y$ for $M$ by finding any matrix $widetilde{Y}$, symmetric or otherwise, that satisfies $widetilde{Y}+widetilde{Y}^T = Y$ (for example $widetilde{Y}_{ij} := begin{cases} Y_{ij} & i<j \ frac{1}{2}Y_{ii} & i=j \ 0 & i>j end{cases}$ does it) and solving $MA = widetilde{Y}$ for $M$ instead. If $A$ is invertible, the latter is always solvable.






            share|cite|improve this answer











            $endgroup$


















              2












              $begingroup$

              A more direct way to see this which has no need for any explicit calculations by hand: For every symmetric $A$ and $Y$, we can solve $MA+AM^T = Y$ for $M$ by finding any matrix $widetilde{Y}$, symmetric or otherwise, that satisfies $widetilde{Y}+widetilde{Y}^T = Y$ (for example $widetilde{Y}_{ij} := begin{cases} Y_{ij} & i<j \ frac{1}{2}Y_{ii} & i=j \ 0 & i>j end{cases}$ does it) and solving $MA = widetilde{Y}$ for $M$ instead. If $A$ is invertible, the latter is always solvable.






              share|cite|improve this answer











              $endgroup$
















                2












                2








                2





                $begingroup$

                A more direct way to see this which has no need for any explicit calculations by hand: For every symmetric $A$ and $Y$, we can solve $MA+AM^T = Y$ for $M$ by finding any matrix $widetilde{Y}$, symmetric or otherwise, that satisfies $widetilde{Y}+widetilde{Y}^T = Y$ (for example $widetilde{Y}_{ij} := begin{cases} Y_{ij} & i<j \ frac{1}{2}Y_{ii} & i=j \ 0 & i>j end{cases}$ does it) and solving $MA = widetilde{Y}$ for $M$ instead. If $A$ is invertible, the latter is always solvable.






                share|cite|improve this answer











                $endgroup$



                A more direct way to see this which has no need for any explicit calculations by hand: For every symmetric $A$ and $Y$, we can solve $MA+AM^T = Y$ for $M$ by finding any matrix $widetilde{Y}$, symmetric or otherwise, that satisfies $widetilde{Y}+widetilde{Y}^T = Y$ (for example $widetilde{Y}_{ij} := begin{cases} Y_{ij} & i<j \ frac{1}{2}Y_{ii} & i=j \ 0 & i>j end{cases}$ does it) and solving $MA = widetilde{Y}$ for $M$ instead. If $A$ is invertible, the latter is always solvable.







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited Jan 16 at 0:31

























                answered Jan 13 at 18:02









                Johannes HahnJohannes Hahn

                4,212634




                4,212634























                    1












                    $begingroup$

                    The most elementary way consists in computing $Df_0(E_{ij})$ for each $i,jin{1,2,3,4}$, where $E_{ij}$ is the $4times4$ matrix such that the entry located at the column $i$ and the row $j$ is $1$ and all other entries are $0$. You shall comput $16$ matrices, each of which is symmetric. Then, check that the space that they span is the space of all $4times4$ symmetric matrices, whose dimension is $10$.






                    share|cite|improve this answer











                    $endgroup$













                    • $begingroup$
                      I see. Thank you
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 11:00










                    • $begingroup$
                      But you mean $Df(E_{ij})$, right?
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 15:47










                    • $begingroup$
                      Actually, it's $Df_0$, that is, the derivative of $f$ at the null matrix. I've edited my answer.
                      $endgroup$
                      – José Carlos Santos
                      Jan 11 at 15:50










                    • $begingroup$
                      ah ok, I just realized that $Df(E_{ij})$ is as well not correct, because the $E_{ij}$ are not in G
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 15:52










                    • $begingroup$
                      Ok thanks, but why to consider the derivative of $f$ at the null matrix? I don't understand it
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 16:00
















                    1












                    $begingroup$

                    The most elementary way consists in computing $Df_0(E_{ij})$ for each $i,jin{1,2,3,4}$, where $E_{ij}$ is the $4times4$ matrix such that the entry located at the column $i$ and the row $j$ is $1$ and all other entries are $0$. You shall comput $16$ matrices, each of which is symmetric. Then, check that the space that they span is the space of all $4times4$ symmetric matrices, whose dimension is $10$.






                    share|cite|improve this answer











                    $endgroup$













                    • $begingroup$
                      I see. Thank you
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 11:00










                    • $begingroup$
                      But you mean $Df(E_{ij})$, right?
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 15:47










                    • $begingroup$
                      Actually, it's $Df_0$, that is, the derivative of $f$ at the null matrix. I've edited my answer.
                      $endgroup$
                      – José Carlos Santos
                      Jan 11 at 15:50










                    • $begingroup$
                      ah ok, I just realized that $Df(E_{ij})$ is as well not correct, because the $E_{ij}$ are not in G
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 15:52










                    • $begingroup$
                      Ok thanks, but why to consider the derivative of $f$ at the null matrix? I don't understand it
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 16:00














                    1












                    1








                    1





                    $begingroup$

                    The most elementary way consists in computing $Df_0(E_{ij})$ for each $i,jin{1,2,3,4}$, where $E_{ij}$ is the $4times4$ matrix such that the entry located at the column $i$ and the row $j$ is $1$ and all other entries are $0$. You shall comput $16$ matrices, each of which is symmetric. Then, check that the space that they span is the space of all $4times4$ symmetric matrices, whose dimension is $10$.






                    share|cite|improve this answer











                    $endgroup$



                    The most elementary way consists in computing $Df_0(E_{ij})$ for each $i,jin{1,2,3,4}$, where $E_{ij}$ is the $4times4$ matrix such that the entry located at the column $i$ and the row $j$ is $1$ and all other entries are $0$. You shall comput $16$ matrices, each of which is symmetric. Then, check that the space that they span is the space of all $4times4$ symmetric matrices, whose dimension is $10$.







                    share|cite|improve this answer














                    share|cite|improve this answer



                    share|cite|improve this answer








                    edited Jan 11 at 15:50

























                    answered Jan 11 at 10:55









                    José Carlos SantosJosé Carlos Santos

                    160k22126232




                    160k22126232












                    • $begingroup$
                      I see. Thank you
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 11:00










                    • $begingroup$
                      But you mean $Df(E_{ij})$, right?
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 15:47










                    • $begingroup$
                      Actually, it's $Df_0$, that is, the derivative of $f$ at the null matrix. I've edited my answer.
                      $endgroup$
                      – José Carlos Santos
                      Jan 11 at 15:50










                    • $begingroup$
                      ah ok, I just realized that $Df(E_{ij})$ is as well not correct, because the $E_{ij}$ are not in G
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 15:52










                    • $begingroup$
                      Ok thanks, but why to consider the derivative of $f$ at the null matrix? I don't understand it
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 16:00


















                    • $begingroup$
                      I see. Thank you
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 11:00










                    • $begingroup$
                      But you mean $Df(E_{ij})$, right?
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 15:47










                    • $begingroup$
                      Actually, it's $Df_0$, that is, the derivative of $f$ at the null matrix. I've edited my answer.
                      $endgroup$
                      – José Carlos Santos
                      Jan 11 at 15:50










                    • $begingroup$
                      ah ok, I just realized that $Df(E_{ij})$ is as well not correct, because the $E_{ij}$ are not in G
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 15:52










                    • $begingroup$
                      Ok thanks, but why to consider the derivative of $f$ at the null matrix? I don't understand it
                      $endgroup$
                      – TheAppliedTheoreticalOne
                      Jan 11 at 16:00
















                    $begingroup$
                    I see. Thank you
                    $endgroup$
                    – TheAppliedTheoreticalOne
                    Jan 11 at 11:00




                    $begingroup$
                    I see. Thank you
                    $endgroup$
                    – TheAppliedTheoreticalOne
                    Jan 11 at 11:00












                    $begingroup$
                    But you mean $Df(E_{ij})$, right?
                    $endgroup$
                    – TheAppliedTheoreticalOne
                    Jan 11 at 15:47




                    $begingroup$
                    But you mean $Df(E_{ij})$, right?
                    $endgroup$
                    – TheAppliedTheoreticalOne
                    Jan 11 at 15:47












                    $begingroup$
                    Actually, it's $Df_0$, that is, the derivative of $f$ at the null matrix. I've edited my answer.
                    $endgroup$
                    – José Carlos Santos
                    Jan 11 at 15:50




                    $begingroup$
                    Actually, it's $Df_0$, that is, the derivative of $f$ at the null matrix. I've edited my answer.
                    $endgroup$
                    – José Carlos Santos
                    Jan 11 at 15:50












                    $begingroup$
                    ah ok, I just realized that $Df(E_{ij})$ is as well not correct, because the $E_{ij}$ are not in G
                    $endgroup$
                    – TheAppliedTheoreticalOne
                    Jan 11 at 15:52




                    $begingroup$
                    ah ok, I just realized that $Df(E_{ij})$ is as well not correct, because the $E_{ij}$ are not in G
                    $endgroup$
                    – TheAppliedTheoreticalOne
                    Jan 11 at 15:52












                    $begingroup$
                    Ok thanks, but why to consider the derivative of $f$ at the null matrix? I don't understand it
                    $endgroup$
                    – TheAppliedTheoreticalOne
                    Jan 11 at 16:00




                    $begingroup$
                    Ok thanks, but why to consider the derivative of $f$ at the null matrix? I don't understand it
                    $endgroup$
                    – TheAppliedTheoreticalOne
                    Jan 11 at 16:00


















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