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Eigen values of a real orthogonal matrix.



The Next CEO of Stack OverflowMahalanobis Distance using Eigen-Values of the Covariance MatrixWhat is the difference between a $1times 1$ matrix and a scalar?Pick the true options for a $ntimes n$ matrix $A$Identify $E=ain Bbb R:lim a^n A^ntextexists and is different from zero$How to find generalized Eigen vectors of a matrix with Eigen vectors already on diagonal?$T$ has no eigen-valueseigen values inside unit circleHow to determine the eigen values of $A^tA$ where $x^tA A^tx=alpha x^tx ~~~~ forall x in BbbR^m$ holds for some $alpha$Find the eigen values and the associated eigen vectors of the matrix,$~~~~$ $A=beginpmatrix 3~~1~~1\ 2~~4~~2\ 1~~1~~3 endpmatrix$Show that $L_A$ acts on by orthogonal transformation and in particular rotation.










4












$begingroup$


Let $A$ be a real orthogonal matrix. Then $A^text T A = I.$ Let $lambda in Bbb C$ be an eigen value of $A$ corresponding to the eigen vector $X in Bbb C^n.$ Then we have





$$beginalign* X^text T A^text T A X = X^text T X. \ implies (AX)^text T AX & = X^text T X. \ implies (lambda X)^text T lambda X & = X^text T X. \ implies lambda^2 X^text T X & = X^text T X. \ implies (lambda^2 - 1) X^text T X & = 0. endalign*$$





Since $X$ is an eigen vector $X neq 0.$ Therefore $X^2 = X^text T X neq 0.$ Hence we must have $lambda^2 - 1 = 0$ i.e. $lambda^2 = 1.$ So $lambda = pm 1.$



So according to my argument above it follows that eigen values of a real orthogonal matrix are $pm 1.$ But I think that I am wrong as I know that the eigen values of an orthogonal matrix are unit modulus i.e. they lie on the unit circle.



What's going wrong in my argument above. Please help me in this regard.



Thank you very much for your valuable time.










share|cite|improve this question









$endgroup$
















    4












    $begingroup$


    Let $A$ be a real orthogonal matrix. Then $A^text T A = I.$ Let $lambda in Bbb C$ be an eigen value of $A$ corresponding to the eigen vector $X in Bbb C^n.$ Then we have





    $$beginalign* X^text T A^text T A X = X^text T X. \ implies (AX)^text T AX & = X^text T X. \ implies (lambda X)^text T lambda X & = X^text T X. \ implies lambda^2 X^text T X & = X^text T X. \ implies (lambda^2 - 1) X^text T X & = 0. endalign*$$





    Since $X$ is an eigen vector $X neq 0.$ Therefore $X^2 = X^text T X neq 0.$ Hence we must have $lambda^2 - 1 = 0$ i.e. $lambda^2 = 1.$ So $lambda = pm 1.$



    So according to my argument above it follows that eigen values of a real orthogonal matrix are $pm 1.$ But I think that I am wrong as I know that the eigen values of an orthogonal matrix are unit modulus i.e. they lie on the unit circle.



    What's going wrong in my argument above. Please help me in this regard.



    Thank you very much for your valuable time.










    share|cite|improve this question









    $endgroup$














      4












      4








      4





      $begingroup$


      Let $A$ be a real orthogonal matrix. Then $A^text T A = I.$ Let $lambda in Bbb C$ be an eigen value of $A$ corresponding to the eigen vector $X in Bbb C^n.$ Then we have





      $$beginalign* X^text T A^text T A X = X^text T X. \ implies (AX)^text T AX & = X^text T X. \ implies (lambda X)^text T lambda X & = X^text T X. \ implies lambda^2 X^text T X & = X^text T X. \ implies (lambda^2 - 1) X^text T X & = 0. endalign*$$





      Since $X$ is an eigen vector $X neq 0.$ Therefore $X^2 = X^text T X neq 0.$ Hence we must have $lambda^2 - 1 = 0$ i.e. $lambda^2 = 1.$ So $lambda = pm 1.$



      So according to my argument above it follows that eigen values of a real orthogonal matrix are $pm 1.$ But I think that I am wrong as I know that the eigen values of an orthogonal matrix are unit modulus i.e. they lie on the unit circle.



      What's going wrong in my argument above. Please help me in this regard.



      Thank you very much for your valuable time.










      share|cite|improve this question









      $endgroup$




      Let $A$ be a real orthogonal matrix. Then $A^text T A = I.$ Let $lambda in Bbb C$ be an eigen value of $A$ corresponding to the eigen vector $X in Bbb C^n.$ Then we have





      $$beginalign* X^text T A^text T A X = X^text T X. \ implies (AX)^text T AX & = X^text T X. \ implies (lambda X)^text T lambda X & = X^text T X. \ implies lambda^2 X^text T X & = X^text T X. \ implies (lambda^2 - 1) X^text T X & = 0. endalign*$$





      Since $X$ is an eigen vector $X neq 0.$ Therefore $X^2 = X^text T X neq 0.$ Hence we must have $lambda^2 - 1 = 0$ i.e. $lambda^2 = 1.$ So $lambda = pm 1.$



      So according to my argument above it follows that eigen values of a real orthogonal matrix are $pm 1.$ But I think that I am wrong as I know that the eigen values of an orthogonal matrix are unit modulus i.e. they lie on the unit circle.



      What's going wrong in my argument above. Please help me in this regard.



      Thank you very much for your valuable time.







      linear-algebra eigenvalues-eigenvectors orthogonal-matrices






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked 6 hours ago









      math maniac.math maniac.

      1417




      1417




















          1 Answer
          1






          active

          oldest

          votes


















          4












          $begingroup$

          The mistake is your assumption that $X^TXne0$. Consider a simple example:
          $$A=pmatrix0&1\-1&0.$$
          It is orthogonal, and its eigenvalues are $pm i$. One eigenvector is
          $$X=pmatrix1\i.$$
          It satisfies $X^TX=0$.



          However, replacing $X^T$ in your argument by $X^H$ (complex conjugate
          of transpose) will give you the correct conclusion that $|lambda|^2=1$.






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            how can Euclidean norm of non zero vector be zero?
            $endgroup$
            – math maniac.
            5 hours ago






          • 1




            $begingroup$
            @mathmaniac. How can $1^2+i^2$ equal zero?
            $endgroup$
            – Lord Shark the Unknown
            5 hours ago










          • $begingroup$
            I think the Euclidean norm of $X in Bbb C^n$ is $sqrt X^text T overline X text or sqrt overline X^text T X,$ not $sqrt X^text T X.$ Am I right?
            $endgroup$
            – math maniac.
            5 hours ago







          • 1




            $begingroup$
            Which is same as $sqrt X^text HX,$ as you have rightly pointed out.
            $endgroup$
            – math maniac.
            5 hours ago












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          1 Answer
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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          4












          $begingroup$

          The mistake is your assumption that $X^TXne0$. Consider a simple example:
          $$A=pmatrix0&1\-1&0.$$
          It is orthogonal, and its eigenvalues are $pm i$. One eigenvector is
          $$X=pmatrix1\i.$$
          It satisfies $X^TX=0$.



          However, replacing $X^T$ in your argument by $X^H$ (complex conjugate
          of transpose) will give you the correct conclusion that $|lambda|^2=1$.






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            how can Euclidean norm of non zero vector be zero?
            $endgroup$
            – math maniac.
            5 hours ago






          • 1




            $begingroup$
            @mathmaniac. How can $1^2+i^2$ equal zero?
            $endgroup$
            – Lord Shark the Unknown
            5 hours ago










          • $begingroup$
            I think the Euclidean norm of $X in Bbb C^n$ is $sqrt X^text T overline X text or sqrt overline X^text T X,$ not $sqrt X^text T X.$ Am I right?
            $endgroup$
            – math maniac.
            5 hours ago







          • 1




            $begingroup$
            Which is same as $sqrt X^text HX,$ as you have rightly pointed out.
            $endgroup$
            – math maniac.
            5 hours ago
















          4












          $begingroup$

          The mistake is your assumption that $X^TXne0$. Consider a simple example:
          $$A=pmatrix0&1\-1&0.$$
          It is orthogonal, and its eigenvalues are $pm i$. One eigenvector is
          $$X=pmatrix1\i.$$
          It satisfies $X^TX=0$.



          However, replacing $X^T$ in your argument by $X^H$ (complex conjugate
          of transpose) will give you the correct conclusion that $|lambda|^2=1$.






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            how can Euclidean norm of non zero vector be zero?
            $endgroup$
            – math maniac.
            5 hours ago






          • 1




            $begingroup$
            @mathmaniac. How can $1^2+i^2$ equal zero?
            $endgroup$
            – Lord Shark the Unknown
            5 hours ago










          • $begingroup$
            I think the Euclidean norm of $X in Bbb C^n$ is $sqrt X^text T overline X text or sqrt overline X^text T X,$ not $sqrt X^text T X.$ Am I right?
            $endgroup$
            – math maniac.
            5 hours ago







          • 1




            $begingroup$
            Which is same as $sqrt X^text HX,$ as you have rightly pointed out.
            $endgroup$
            – math maniac.
            5 hours ago














          4












          4








          4





          $begingroup$

          The mistake is your assumption that $X^TXne0$. Consider a simple example:
          $$A=pmatrix0&1\-1&0.$$
          It is orthogonal, and its eigenvalues are $pm i$. One eigenvector is
          $$X=pmatrix1\i.$$
          It satisfies $X^TX=0$.



          However, replacing $X^T$ in your argument by $X^H$ (complex conjugate
          of transpose) will give you the correct conclusion that $|lambda|^2=1$.






          share|cite|improve this answer









          $endgroup$



          The mistake is your assumption that $X^TXne0$. Consider a simple example:
          $$A=pmatrix0&1\-1&0.$$
          It is orthogonal, and its eigenvalues are $pm i$. One eigenvector is
          $$X=pmatrix1\i.$$
          It satisfies $X^TX=0$.



          However, replacing $X^T$ in your argument by $X^H$ (complex conjugate
          of transpose) will give you the correct conclusion that $|lambda|^2=1$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 6 hours ago









          Lord Shark the UnknownLord Shark the Unknown

          107k1162135




          107k1162135











          • $begingroup$
            how can Euclidean norm of non zero vector be zero?
            $endgroup$
            – math maniac.
            5 hours ago






          • 1




            $begingroup$
            @mathmaniac. How can $1^2+i^2$ equal zero?
            $endgroup$
            – Lord Shark the Unknown
            5 hours ago










          • $begingroup$
            I think the Euclidean norm of $X in Bbb C^n$ is $sqrt X^text T overline X text or sqrt overline X^text T X,$ not $sqrt X^text T X.$ Am I right?
            $endgroup$
            – math maniac.
            5 hours ago







          • 1




            $begingroup$
            Which is same as $sqrt X^text HX,$ as you have rightly pointed out.
            $endgroup$
            – math maniac.
            5 hours ago

















          • $begingroup$
            how can Euclidean norm of non zero vector be zero?
            $endgroup$
            – math maniac.
            5 hours ago






          • 1




            $begingroup$
            @mathmaniac. How can $1^2+i^2$ equal zero?
            $endgroup$
            – Lord Shark the Unknown
            5 hours ago










          • $begingroup$
            I think the Euclidean norm of $X in Bbb C^n$ is $sqrt X^text T overline X text or sqrt overline X^text T X,$ not $sqrt X^text T X.$ Am I right?
            $endgroup$
            – math maniac.
            5 hours ago







          • 1




            $begingroup$
            Which is same as $sqrt X^text HX,$ as you have rightly pointed out.
            $endgroup$
            – math maniac.
            5 hours ago
















          $begingroup$
          how can Euclidean norm of non zero vector be zero?
          $endgroup$
          – math maniac.
          5 hours ago




          $begingroup$
          how can Euclidean norm of non zero vector be zero?
          $endgroup$
          – math maniac.
          5 hours ago




          1




          1




          $begingroup$
          @mathmaniac. How can $1^2+i^2$ equal zero?
          $endgroup$
          – Lord Shark the Unknown
          5 hours ago




          $begingroup$
          @mathmaniac. How can $1^2+i^2$ equal zero?
          $endgroup$
          – Lord Shark the Unknown
          5 hours ago












          $begingroup$
          I think the Euclidean norm of $X in Bbb C^n$ is $sqrt X^text T overline X text or sqrt overline X^text T X,$ not $sqrt X^text T X.$ Am I right?
          $endgroup$
          – math maniac.
          5 hours ago





          $begingroup$
          I think the Euclidean norm of $X in Bbb C^n$ is $sqrt X^text T overline X text or sqrt overline X^text T X,$ not $sqrt X^text T X.$ Am I right?
          $endgroup$
          – math maniac.
          5 hours ago





          1




          1




          $begingroup$
          Which is same as $sqrt X^text HX,$ as you have rightly pointed out.
          $endgroup$
          – math maniac.
          5 hours ago





          $begingroup$
          Which is same as $sqrt X^text HX,$ as you have rightly pointed out.
          $endgroup$
          – math maniac.
          5 hours ago


















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