Orthogonal transformation with additional constraints












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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.










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    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






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      edited Dec 11 '18 at 6:49







      SanJoy

















      asked Dec 10 '18 at 14:23









      SanJoySanJoy

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          2 Answers
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          $begingroup$

          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











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          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


















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