Orthogonal transformation with additional constraints












3












$begingroup$


Let $A$ be an orthogonal matrix, i.e. $AA^{T}=mathbb{I}$. It is given that $A$ satisfies an additional constraint, $AMA^{T}=PMP^{T}$, where $P$ is some permutation matrix and $M_{ij}=sgn(i-j)$. Can $A$ be still an arbitrary orthogonal matrix or are there any new constraints on it? In two dimension there are no new restrictions.










share|cite|improve this question











$endgroup$

















    3












    $begingroup$


    Let $A$ be an orthogonal matrix, i.e. $AA^{T}=mathbb{I}$. It is given that $A$ satisfies an additional constraint, $AMA^{T}=PMP^{T}$, where $P$ is some permutation matrix and $M_{ij}=sgn(i-j)$. Can $A$ be still an arbitrary orthogonal matrix or are there any new constraints on it? In two dimension there are no new restrictions.










    share|cite|improve this question











    $endgroup$















      3












      3








      3





      $begingroup$


      Let $A$ be an orthogonal matrix, i.e. $AA^{T}=mathbb{I}$. It is given that $A$ satisfies an additional constraint, $AMA^{T}=PMP^{T}$, where $P$ is some permutation matrix and $M_{ij}=sgn(i-j)$. Can $A$ be still an arbitrary orthogonal matrix or are there any new constraints on it? In two dimension there are no new restrictions.










      share|cite|improve this question











      $endgroup$




      Let $A$ be an orthogonal matrix, i.e. $AA^{T}=mathbb{I}$. It is given that $A$ satisfies an additional constraint, $AMA^{T}=PMP^{T}$, where $P$ is some permutation matrix and $M_{ij}=sgn(i-j)$. Can $A$ be still an arbitrary orthogonal matrix or are there any new constraints on it? In two dimension there are no new restrictions.







      linear-algebra matrices linear-transformations orthogonal-matrices






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Dec 11 '18 at 6:49







      SanJoy

















      asked Dec 10 '18 at 14:23









      SanJoySanJoy

      215




      215






















          2 Answers
          2






          active

          oldest

          votes


















          2












          $begingroup$

          No. The matrix $PMP^T$ has integer entries. That's not usually the case with $AMA^T$. For instance, with
          $$
          A=begin{bmatrix}
          tfrac1{sqrt{14}}&tfrac3{sqrt{14}}&tfrac2{sqrt{14}}\
          tfrac5{sqrt{42}}&tfrac1{sqrt{42}}&-tfrac4{sqrt{42}}\
          tfrac1{sqrt3}&-tfrac1{sqrt3}&tfrac1{sqrt3}
          end{bmatrix},
          $$

          The 1,2 entry of $AMA^T$ is $sqrt3$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            I would like to what precisely this constraints do for an arbitrary n. Or put it in another way what all matrices will respect this constraint.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:59



















          0












          $begingroup$

          Your claim is wrong even when $n=2$. E.g. when $P=I_2$, we need $AM=MA$. Since $M$ in this case is precisely the rotation matrix $R$ for angle $pi/2$, it only commutes with scalar multiples of rotation matrices. Therefore $A$ must have determinant $1$. Similarly, if $P$ is a transposition matrix, $A$ must have determinant $-1$.



          In general, since $M$ is a skew symmetric matrix with distinct eigenvalues (namely, $tanleft(frac{kpi}{2n}right)i$ for $k=1-n,,3-n,ldots,,n-3,,n-1$), it is orthogonally similar to a direct sum of different nonzero scalar multiples of $R$ (and also the scalar $0$ if $n$ is odd). It follows that $P^TA$, via the same similarity transform, must be equal to a direct sum of $2times2$ rotation matrices (and also a scalar $pm1$ when $n$ is odd).






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            I mean to say that, when n=2, A can be either a rotation when Det(A)=1, or a reflection matrix when Det(A)=-1. In the first case, P is identity and second case P is the nontrivial permutation matrix. So any orthogonal matrix belongs to either of the classes.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:00











          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "69"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3033971%2forthogonal-transformation-with-additional-constraints%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          2












          $begingroup$

          No. The matrix $PMP^T$ has integer entries. That's not usually the case with $AMA^T$. For instance, with
          $$
          A=begin{bmatrix}
          tfrac1{sqrt{14}}&tfrac3{sqrt{14}}&tfrac2{sqrt{14}}\
          tfrac5{sqrt{42}}&tfrac1{sqrt{42}}&-tfrac4{sqrt{42}}\
          tfrac1{sqrt3}&-tfrac1{sqrt3}&tfrac1{sqrt3}
          end{bmatrix},
          $$

          The 1,2 entry of $AMA^T$ is $sqrt3$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            I would like to what precisely this constraints do for an arbitrary n. Or put it in another way what all matrices will respect this constraint.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:59
















          2












          $begingroup$

          No. The matrix $PMP^T$ has integer entries. That's not usually the case with $AMA^T$. For instance, with
          $$
          A=begin{bmatrix}
          tfrac1{sqrt{14}}&tfrac3{sqrt{14}}&tfrac2{sqrt{14}}\
          tfrac5{sqrt{42}}&tfrac1{sqrt{42}}&-tfrac4{sqrt{42}}\
          tfrac1{sqrt3}&-tfrac1{sqrt3}&tfrac1{sqrt3}
          end{bmatrix},
          $$

          The 1,2 entry of $AMA^T$ is $sqrt3$.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            I would like to what precisely this constraints do for an arbitrary n. Or put it in another way what all matrices will respect this constraint.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:59














          2












          2








          2





          $begingroup$

          No. The matrix $PMP^T$ has integer entries. That's not usually the case with $AMA^T$. For instance, with
          $$
          A=begin{bmatrix}
          tfrac1{sqrt{14}}&tfrac3{sqrt{14}}&tfrac2{sqrt{14}}\
          tfrac5{sqrt{42}}&tfrac1{sqrt{42}}&-tfrac4{sqrt{42}}\
          tfrac1{sqrt3}&-tfrac1{sqrt3}&tfrac1{sqrt3}
          end{bmatrix},
          $$

          The 1,2 entry of $AMA^T$ is $sqrt3$.






          share|cite|improve this answer









          $endgroup$



          No. The matrix $PMP^T$ has integer entries. That's not usually the case with $AMA^T$. For instance, with
          $$
          A=begin{bmatrix}
          tfrac1{sqrt{14}}&tfrac3{sqrt{14}}&tfrac2{sqrt{14}}\
          tfrac5{sqrt{42}}&tfrac1{sqrt{42}}&-tfrac4{sqrt{42}}\
          tfrac1{sqrt3}&-tfrac1{sqrt3}&tfrac1{sqrt3}
          end{bmatrix},
          $$

          The 1,2 entry of $AMA^T$ is $sqrt3$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Dec 10 '18 at 15:32









          Martin ArgeramiMartin Argerami

          126k1182181




          126k1182181












          • $begingroup$
            I would like to what precisely this constraints do for an arbitrary n. Or put it in another way what all matrices will respect this constraint.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:59


















          • $begingroup$
            I would like to what precisely this constraints do for an arbitrary n. Or put it in another way what all matrices will respect this constraint.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:59
















          $begingroup$
          I would like to what precisely this constraints do for an arbitrary n. Or put it in another way what all matrices will respect this constraint.
          $endgroup$
          – SanJoy
          Dec 10 '18 at 19:59




          $begingroup$
          I would like to what precisely this constraints do for an arbitrary n. Or put it in another way what all matrices will respect this constraint.
          $endgroup$
          – SanJoy
          Dec 10 '18 at 19:59











          0












          $begingroup$

          Your claim is wrong even when $n=2$. E.g. when $P=I_2$, we need $AM=MA$. Since $M$ in this case is precisely the rotation matrix $R$ for angle $pi/2$, it only commutes with scalar multiples of rotation matrices. Therefore $A$ must have determinant $1$. Similarly, if $P$ is a transposition matrix, $A$ must have determinant $-1$.



          In general, since $M$ is a skew symmetric matrix with distinct eigenvalues (namely, $tanleft(frac{kpi}{2n}right)i$ for $k=1-n,,3-n,ldots,,n-3,,n-1$), it is orthogonally similar to a direct sum of different nonzero scalar multiples of $R$ (and also the scalar $0$ if $n$ is odd). It follows that $P^TA$, via the same similarity transform, must be equal to a direct sum of $2times2$ rotation matrices (and also a scalar $pm1$ when $n$ is odd).






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            I mean to say that, when n=2, A can be either a rotation when Det(A)=1, or a reflection matrix when Det(A)=-1. In the first case, P is identity and second case P is the nontrivial permutation matrix. So any orthogonal matrix belongs to either of the classes.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:00
















          0












          $begingroup$

          Your claim is wrong even when $n=2$. E.g. when $P=I_2$, we need $AM=MA$. Since $M$ in this case is precisely the rotation matrix $R$ for angle $pi/2$, it only commutes with scalar multiples of rotation matrices. Therefore $A$ must have determinant $1$. Similarly, if $P$ is a transposition matrix, $A$ must have determinant $-1$.



          In general, since $M$ is a skew symmetric matrix with distinct eigenvalues (namely, $tanleft(frac{kpi}{2n}right)i$ for $k=1-n,,3-n,ldots,,n-3,,n-1$), it is orthogonally similar to a direct sum of different nonzero scalar multiples of $R$ (and also the scalar $0$ if $n$ is odd). It follows that $P^TA$, via the same similarity transform, must be equal to a direct sum of $2times2$ rotation matrices (and also a scalar $pm1$ when $n$ is odd).






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            I mean to say that, when n=2, A can be either a rotation when Det(A)=1, or a reflection matrix when Det(A)=-1. In the first case, P is identity and second case P is the nontrivial permutation matrix. So any orthogonal matrix belongs to either of the classes.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:00














          0












          0








          0





          $begingroup$

          Your claim is wrong even when $n=2$. E.g. when $P=I_2$, we need $AM=MA$. Since $M$ in this case is precisely the rotation matrix $R$ for angle $pi/2$, it only commutes with scalar multiples of rotation matrices. Therefore $A$ must have determinant $1$. Similarly, if $P$ is a transposition matrix, $A$ must have determinant $-1$.



          In general, since $M$ is a skew symmetric matrix with distinct eigenvalues (namely, $tanleft(frac{kpi}{2n}right)i$ for $k=1-n,,3-n,ldots,,n-3,,n-1$), it is orthogonally similar to a direct sum of different nonzero scalar multiples of $R$ (and also the scalar $0$ if $n$ is odd). It follows that $P^TA$, via the same similarity transform, must be equal to a direct sum of $2times2$ rotation matrices (and also a scalar $pm1$ when $n$ is odd).






          share|cite|improve this answer









          $endgroup$



          Your claim is wrong even when $n=2$. E.g. when $P=I_2$, we need $AM=MA$. Since $M$ in this case is precisely the rotation matrix $R$ for angle $pi/2$, it only commutes with scalar multiples of rotation matrices. Therefore $A$ must have determinant $1$. Similarly, if $P$ is a transposition matrix, $A$ must have determinant $-1$.



          In general, since $M$ is a skew symmetric matrix with distinct eigenvalues (namely, $tanleft(frac{kpi}{2n}right)i$ for $k=1-n,,3-n,ldots,,n-3,,n-1$), it is orthogonally similar to a direct sum of different nonzero scalar multiples of $R$ (and also the scalar $0$ if $n$ is odd). It follows that $P^TA$, via the same similarity transform, must be equal to a direct sum of $2times2$ rotation matrices (and also a scalar $pm1$ when $n$ is odd).







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Dec 10 '18 at 17:43









          user1551user1551

          72.5k566127




          72.5k566127












          • $begingroup$
            I mean to say that, when n=2, A can be either a rotation when Det(A)=1, or a reflection matrix when Det(A)=-1. In the first case, P is identity and second case P is the nontrivial permutation matrix. So any orthogonal matrix belongs to either of the classes.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:00


















          • $begingroup$
            I mean to say that, when n=2, A can be either a rotation when Det(A)=1, or a reflection matrix when Det(A)=-1. In the first case, P is identity and second case P is the nontrivial permutation matrix. So any orthogonal matrix belongs to either of the classes.
            $endgroup$
            – SanJoy
            Dec 10 '18 at 19:00
















          $begingroup$
          I mean to say that, when n=2, A can be either a rotation when Det(A)=1, or a reflection matrix when Det(A)=-1. In the first case, P is identity and second case P is the nontrivial permutation matrix. So any orthogonal matrix belongs to either of the classes.
          $endgroup$
          – SanJoy
          Dec 10 '18 at 19:00




          $begingroup$
          I mean to say that, when n=2, A can be either a rotation when Det(A)=1, or a reflection matrix when Det(A)=-1. In the first case, P is identity and second case P is the nontrivial permutation matrix. So any orthogonal matrix belongs to either of the classes.
          $endgroup$
          – SanJoy
          Dec 10 '18 at 19:00


















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Mathematics Stack Exchange!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          Use MathJax to format equations. MathJax reference.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3033971%2forthogonal-transformation-with-additional-constraints%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Probability when a professor distributes a quiz and homework assignment to a class of n students.

          Aardman Animations

          Are they similar matrix