How to find examples of such square matrices? [closed]

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I want to find examples of square matrices $A$ (and if possible, a general form) which satisfy the following property:



$$AA^T = frac14 left[beginmatrix
15 & 9 & 5 & -3 \
9 & 15 & 3 & -5 \
5 & 3 & 15 & -9 \
-3 & -5 & -9 & 15
endmatrixright]$$



What would a systematic way to go about this?



P.S: The matrix on the right hand side is Hermitian.







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closed as off-topic by Xander Henderson, Jendrik Stelzner, Theoretical Economist, Arnaud D., John Ma Aug 31 at 23:49


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – Xander Henderson, Jendrik Stelzner, Theoretical Economist, Arnaud D., John Ma
If this question can be reworded to fit the rules in the help center, please edit the question.
















    up vote
    0
    down vote

    favorite
    1












    I want to find examples of square matrices $A$ (and if possible, a general form) which satisfy the following property:



    $$AA^T = frac14 left[beginmatrix
    15 & 9 & 5 & -3 \
    9 & 15 & 3 & -5 \
    5 & 3 & 15 & -9 \
    -3 & -5 & -9 & 15
    endmatrixright]$$



    What would a systematic way to go about this?



    P.S: The matrix on the right hand side is Hermitian.







    share|cite|improve this question












    closed as off-topic by Xander Henderson, Jendrik Stelzner, Theoretical Economist, Arnaud D., John Ma Aug 31 at 23:49


    This question appears to be off-topic. The users who voted to close gave this specific reason:


    • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – Xander Henderson, Jendrik Stelzner, Theoretical Economist, Arnaud D., John Ma
    If this question can be reworded to fit the rules in the help center, please edit the question.














      up vote
      0
      down vote

      favorite
      1









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      1





      I want to find examples of square matrices $A$ (and if possible, a general form) which satisfy the following property:



      $$AA^T = frac14 left[beginmatrix
      15 & 9 & 5 & -3 \
      9 & 15 & 3 & -5 \
      5 & 3 & 15 & -9 \
      -3 & -5 & -9 & 15
      endmatrixright]$$



      What would a systematic way to go about this?



      P.S: The matrix on the right hand side is Hermitian.







      share|cite|improve this question












      I want to find examples of square matrices $A$ (and if possible, a general form) which satisfy the following property:



      $$AA^T = frac14 left[beginmatrix
      15 & 9 & 5 & -3 \
      9 & 15 & 3 & -5 \
      5 & 3 & 15 & -9 \
      -3 & -5 & -9 & 15
      endmatrixright]$$



      What would a systematic way to go about this?



      P.S: The matrix on the right hand side is Hermitian.









      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Aug 28 at 11:55









      Blue

      17319




      17319




      closed as off-topic by Xander Henderson, Jendrik Stelzner, Theoretical Economist, Arnaud D., John Ma Aug 31 at 23:49


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – Xander Henderson, Jendrik Stelzner, Theoretical Economist, Arnaud D., John Ma
      If this question can be reworded to fit the rules in the help center, please edit the question.




      closed as off-topic by Xander Henderson, Jendrik Stelzner, Theoretical Economist, Arnaud D., John Ma Aug 31 at 23:49


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please improve the question by providing additional context, which ideally includes your thoughts on the problem and any attempts you have made to solve it. This information helps others identify where you have difficulties and helps them write answers appropriate to your experience level." – Xander Henderson, Jendrik Stelzner, Theoretical Economist, Arnaud D., John Ma
      If this question can be reworded to fit the rules in the help center, please edit the question.




















          3 Answers
          3






          active

          oldest

          votes

















          up vote
          2
          down vote



          accepted










          Since $B=AA^T$ is symmetric, by eigenvalues and eigenvectors, we can find $Q$ orthogonal and $Lambda$ diagonal such that



          $$B=QLambda Q^T$$



          and if $B$ is positive definite we have



          $$B=QLambda Q^T=(QLambda^1/2)(QLambda^1/2)^T=AA^T$$






          share|cite|improve this answer






















          • And how to find such $Q$?
            – Blue
            Aug 28 at 12:01











          • @Blue $Q$ is the orthogonal matrix containing an orthonormal basis of eigenvectors as columns
            – gimusi
            Aug 28 at 12:03











          • @Blue refer to en.wikipedia.org/wiki/Symmetric_matrix#Decomposition
            – gimusi
            Aug 28 at 12:04










          • @Blue refer also to en.wikipedia.org/wiki/Cholesky_decomposition
            – gimusi
            Aug 28 at 12:05










          • @Blue This is the orthogonal diagonalisation of $B$, which are guaranteed to exist for symmetric matrices. You find them ususally by eigenvalue / eigenvector analysis. You do have to make sure that $B$ is positive semi-definite, though, or at least that it has an even number of negative eigenvalues or something. Otherwise $Lambda^1/2$ is going to be a bit tricky.
            – Arthur
            Aug 28 at 12:07


















          up vote
          2
          down vote













          You would want this version:



          $$ Q^T D Q = H $$
          $$left(
          beginarrayrrrr
          1 & 0 & 0 & 0 \
          frac 3 5 & 1 & 0 & 0 \
          frac 1 3 & 0 & 1 & 0 \
          - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
          endarray
          right)
          left(
          beginarrayrrrr
          15 & 0 & 0 & 0 \
          0 & frac 48 5 & 0 & 0 \
          0 & 0 & frac 40 3 & 0 \
          0 & 0 & 0 & frac 128 15 \
          endarray
          right)
          left(
          beginarrayrrrr
          1 & frac 3 5 & frac 1 3 & - frac 1 5 \
          0 & 1 & 0 & - frac 1 3 \
          0 & 0 & 1 & - frac 3 5 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          = left(
          beginarrayrrrr
          15 & 9 & 5 & - 3 \
          9 & 15 & 3 & - 5 \
          5 & 3 & 15 & - 9 \
          - 3 & - 5 & - 9 & 15 \
          endarray
          right)
          $$



          Since $D$ is positive definite, create a matrix $F$ with entries $sqrt d$ to get $Q^T F^T F Q = (FQ)^T (FQ) = H$ after deleting the $D.$ Let's see, you had a factor of $1/4,$ so $ (FQ/2)^T (FQ/2) = H/4$



          Algorithm discussed at http://math.stackexchange.com/questions/1388421/reference-for-linear-algebra-books-that-teach-reverse-hermite-method-for-symmetr
          https://en.wikipedia.org/wiki/Sylvester%27s_law_of_inertia

          $$ H = left(
          beginarrayrrrr
          15 & 9 & 5 & - 3 \
          9 & 15 & 3 & - 5 \
          5 & 3 & 15 & - 9 \
          - 3 & - 5 & - 9 & 15 \
          endarray
          right)
          $$
          $$ D_0 = H $$
          $$ E_j^T D_j-1 E_j = D_j $$
          $$ P_j-1 E_j = P_j $$
          $$ E_j^-1 Q_j-1 = Q_j $$
          $$ P_j Q_j = Q_j P_j = I $$
          $$ P_j^T H P_j = D_j $$
          $$ Q_j^T D_j Q_j = H $$



          $$ H = left(
          beginarrayrrrr
          15 & 9 & 5 & - 3 \
          9 & 15 & 3 & - 5 \
          5 & 3 & 15 & - 9 \
          - 3 & - 5 & - 9 & 15 \
          endarray
          right)
          $$



          ==============================================



          $$ E_1 = left(
          beginarrayrrrr
          1 & - frac 3 5 & 0 & 0 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          $$
          $$ P_1 = left(
          beginarrayrrrr
          1 & - frac 3 5 & 0 & 0 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; Q_1 = left(
          beginarrayrrrr
          1 & frac 3 5 & 0 & 0 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; D_1 = left(
          beginarrayrrrr
          15 & 0 & 5 & - 3 \
          0 & frac 48 5 & 0 & - frac 16 5 \
          5 & 0 & 15 & - 9 \
          - 3 & - frac 16 5 & - 9 & 15 \
          endarray
          right)
          $$



          ==============================================



          $$ E_2 = left(
          beginarrayrrrr
          1 & 0 & - frac 1 3 & 0 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          $$
          $$ P_2 = left(
          beginarrayrrrr
          1 & - frac 3 5 & - frac 1 3 & 0 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; Q_2 = left(
          beginarrayrrrr
          1 & frac 3 5 & frac 1 3 & 0 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; D_2 = left(
          beginarrayrrrr
          15 & 0 & 0 & - 3 \
          0 & frac 48 5 & 0 & - frac 16 5 \
          0 & 0 & frac 40 3 & - 8 \
          - 3 & - frac 16 5 & - 8 & 15 \
          endarray
          right)
          $$



          ==============================================



          $$ E_3 = left(
          beginarrayrrrr
          1 & 0 & 0 & frac 1 5 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          $$
          $$ P_3 = left(
          beginarrayrrrr
          1 & - frac 3 5 & - frac 1 3 & frac 1 5 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; Q_3 = left(
          beginarrayrrrr
          1 & frac 3 5 & frac 1 3 & - frac 1 5 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; D_3 = left(
          beginarrayrrrr
          15 & 0 & 0 & 0 \
          0 & frac 48 5 & 0 & - frac 16 5 \
          0 & 0 & frac 40 3 & - 8 \
          0 & - frac 16 5 & - 8 & frac 72 5 \
          endarray
          right)
          $$



          ==============================================



          $$ E_4 = left(
          beginarrayrrrr
          1 & 0 & 0 & 0 \
          0 & 1 & 0 & frac 1 3 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          $$
          $$ P_4 = left(
          beginarrayrrrr
          1 & - frac 3 5 & - frac 1 3 & 0 \
          0 & 1 & 0 & frac 1 3 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; Q_4 = left(
          beginarrayrrrr
          1 & frac 3 5 & frac 1 3 & - frac 1 5 \
          0 & 1 & 0 & - frac 1 3 \
          0 & 0 & 1 & 0 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; D_4 = left(
          beginarrayrrrr
          15 & 0 & 0 & 0 \
          0 & frac 48 5 & 0 & 0 \
          0 & 0 & frac 40 3 & - 8 \
          0 & 0 & - 8 & frac 40 3 \
          endarray
          right)
          $$



          ==============================================



          $$ E_5 = left(
          beginarrayrrrr
          1 & 0 & 0 & 0 \
          0 & 1 & 0 & 0 \
          0 & 0 & 1 & frac 3 5 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          $$
          $$ P_5 = left(
          beginarrayrrrr
          1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
          0 & 1 & 0 & frac 1 3 \
          0 & 0 & 1 & frac 3 5 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; Q_5 = left(
          beginarrayrrrr
          1 & frac 3 5 & frac 1 3 & - frac 1 5 \
          0 & 1 & 0 & - frac 1 3 \
          0 & 0 & 1 & - frac 3 5 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          , ; ; ; D_5 = left(
          beginarrayrrrr
          15 & 0 & 0 & 0 \
          0 & frac 48 5 & 0 & 0 \
          0 & 0 & frac 40 3 & 0 \
          0 & 0 & 0 & frac 128 15 \
          endarray
          right)
          $$



          ==============================================



          $$ P^T H P = D $$
          $$left(
          beginarrayrrrr
          1 & 0 & 0 & 0 \
          - frac 3 5 & 1 & 0 & 0 \
          - frac 1 3 & 0 & 1 & 0 \
          - frac 1 5 & frac 1 3 & frac 3 5 & 1 \
          endarray
          right)
          left(
          beginarrayrrrr
          15 & 9 & 5 & - 3 \
          9 & 15 & 3 & - 5 \
          5 & 3 & 15 & - 9 \
          - 3 & - 5 & - 9 & 15 \
          endarray
          right)
          left(
          beginarrayrrrr
          1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
          0 & 1 & 0 & frac 1 3 \
          0 & 0 & 1 & frac 3 5 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          = left(
          beginarrayrrrr
          15 & 0 & 0 & 0 \
          0 & frac 48 5 & 0 & 0 \
          0 & 0 & frac 40 3 & 0 \
          0 & 0 & 0 & frac 128 15 \
          endarray
          right)
          $$
          $$ Q^T D Q = H $$
          $$left(
          beginarrayrrrr
          1 & 0 & 0 & 0 \
          frac 3 5 & 1 & 0 & 0 \
          frac 1 3 & 0 & 1 & 0 \
          - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
          endarray
          right)
          left(
          beginarrayrrrr
          15 & 0 & 0 & 0 \
          0 & frac 48 5 & 0 & 0 \
          0 & 0 & frac 40 3 & 0 \
          0 & 0 & 0 & frac 128 15 \
          endarray
          right)
          left(
          beginarrayrrrr
          1 & frac 3 5 & frac 1 3 & - frac 1 5 \
          0 & 1 & 0 & - frac 1 3 \
          0 & 0 & 1 & - frac 3 5 \
          0 & 0 & 0 & 1 \
          endarray
          right)
          = left(
          beginarrayrrrr
          15 & 9 & 5 & - 3 \
          9 & 15 & 3 & - 5 \
          5 & 3 & 15 & - 9 \
          - 3 & - 5 & - 9 & 15 \
          endarray
          right)
          $$






          share|cite|improve this answer



























            up vote
            1
            down vote













            Looking again, this seems to be a contest type question. With a little trickery, one may find the eigenvalues entirely by hand, without attempting any 4 by 4 determinant. MORE TO COME



            First, multiply by $4,$ the fraction can be dealt with later. Next, multiply one left and right by the orthogonal matrix (its own transpose)
            $$
            left(
            beginarraycccc
            1 & 0 & 0 & 0 \
            0 & 1 & 0 & 0 \
            0 & 0 & 1 & 0 \
            0 & 0 & 0 & -1
            endarray
            right)
            $$



            The result is a matrix in 2 by 2 blocks,
            $$
            M =
            left(
            beginarraycc
            3A & A \
            A & 3A
            endarray
            right)
            $$
            where
            $$
            A =
            left(
            beginarraycc
            5 & 3 \
            3 & 5
            endarray
            right)
            $$
            The eigenvalues of this are $2,8.$ We can construct eigenvectors for the 4 by 4 $M$ above with no trouble. If $v$ has eigenvalue $2,$ then
            as eigenvectors for my $M$ above,
            $$
            left(
            beginarrayc
            v \
            v
            endarray
            right)
            $$
            has eigenvalue $8$ while
            $$
            left(
            beginarrayc
            v \
            -v
            endarray
            right)
            $$
            has eigenvalue $4.$
            If $w$ has eigenvalue $8,$ then
            as eigenvectors for my $M$ above,
            $$
            left(
            beginarrayc
            w \
            w
            endarray
            right)
            $$
            has eigenvalue $32$ while
            $$
            left(
            beginarrayc
            w \
            -w
            endarray
            right)
            $$
            has eigenvalue $16.$



            So, my $M$ has eigenvalues $4,8,16,32.$ One may use the $M$ eigenvectors to reconstruct eigenvectors for the original matrix, or start over. Including the $1/4$ fraction, the matrix in the question has eigenvalues $1,2,4,8.$






            share|cite|improve this answer





























              3 Answers
              3






              active

              oldest

              votes








              3 Answers
              3






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes








              up vote
              2
              down vote



              accepted










              Since $B=AA^T$ is symmetric, by eigenvalues and eigenvectors, we can find $Q$ orthogonal and $Lambda$ diagonal such that



              $$B=QLambda Q^T$$



              and if $B$ is positive definite we have



              $$B=QLambda Q^T=(QLambda^1/2)(QLambda^1/2)^T=AA^T$$






              share|cite|improve this answer






















              • And how to find such $Q$?
                – Blue
                Aug 28 at 12:01











              • @Blue $Q$ is the orthogonal matrix containing an orthonormal basis of eigenvectors as columns
                – gimusi
                Aug 28 at 12:03











              • @Blue refer to en.wikipedia.org/wiki/Symmetric_matrix#Decomposition
                – gimusi
                Aug 28 at 12:04










              • @Blue refer also to en.wikipedia.org/wiki/Cholesky_decomposition
                – gimusi
                Aug 28 at 12:05










              • @Blue This is the orthogonal diagonalisation of $B$, which are guaranteed to exist for symmetric matrices. You find them ususally by eigenvalue / eigenvector analysis. You do have to make sure that $B$ is positive semi-definite, though, or at least that it has an even number of negative eigenvalues or something. Otherwise $Lambda^1/2$ is going to be a bit tricky.
                – Arthur
                Aug 28 at 12:07















              up vote
              2
              down vote



              accepted










              Since $B=AA^T$ is symmetric, by eigenvalues and eigenvectors, we can find $Q$ orthogonal and $Lambda$ diagonal such that



              $$B=QLambda Q^T$$



              and if $B$ is positive definite we have



              $$B=QLambda Q^T=(QLambda^1/2)(QLambda^1/2)^T=AA^T$$






              share|cite|improve this answer






















              • And how to find such $Q$?
                – Blue
                Aug 28 at 12:01











              • @Blue $Q$ is the orthogonal matrix containing an orthonormal basis of eigenvectors as columns
                – gimusi
                Aug 28 at 12:03











              • @Blue refer to en.wikipedia.org/wiki/Symmetric_matrix#Decomposition
                – gimusi
                Aug 28 at 12:04










              • @Blue refer also to en.wikipedia.org/wiki/Cholesky_decomposition
                – gimusi
                Aug 28 at 12:05










              • @Blue This is the orthogonal diagonalisation of $B$, which are guaranteed to exist for symmetric matrices. You find them ususally by eigenvalue / eigenvector analysis. You do have to make sure that $B$ is positive semi-definite, though, or at least that it has an even number of negative eigenvalues or something. Otherwise $Lambda^1/2$ is going to be a bit tricky.
                – Arthur
                Aug 28 at 12:07













              up vote
              2
              down vote



              accepted







              up vote
              2
              down vote



              accepted






              Since $B=AA^T$ is symmetric, by eigenvalues and eigenvectors, we can find $Q$ orthogonal and $Lambda$ diagonal such that



              $$B=QLambda Q^T$$



              and if $B$ is positive definite we have



              $$B=QLambda Q^T=(QLambda^1/2)(QLambda^1/2)^T=AA^T$$






              share|cite|improve this answer














              Since $B=AA^T$ is symmetric, by eigenvalues and eigenvectors, we can find $Q$ orthogonal and $Lambda$ diagonal such that



              $$B=QLambda Q^T$$



              and if $B$ is positive definite we have



              $$B=QLambda Q^T=(QLambda^1/2)(QLambda^1/2)^T=AA^T$$







              share|cite|improve this answer














              share|cite|improve this answer



              share|cite|improve this answer








              edited Aug 28 at 12:16

























              answered Aug 28 at 12:00









              gimusi

              70.9k73786




              70.9k73786











              • And how to find such $Q$?
                – Blue
                Aug 28 at 12:01











              • @Blue $Q$ is the orthogonal matrix containing an orthonormal basis of eigenvectors as columns
                – gimusi
                Aug 28 at 12:03











              • @Blue refer to en.wikipedia.org/wiki/Symmetric_matrix#Decomposition
                – gimusi
                Aug 28 at 12:04










              • @Blue refer also to en.wikipedia.org/wiki/Cholesky_decomposition
                – gimusi
                Aug 28 at 12:05










              • @Blue This is the orthogonal diagonalisation of $B$, which are guaranteed to exist for symmetric matrices. You find them ususally by eigenvalue / eigenvector analysis. You do have to make sure that $B$ is positive semi-definite, though, or at least that it has an even number of negative eigenvalues or something. Otherwise $Lambda^1/2$ is going to be a bit tricky.
                – Arthur
                Aug 28 at 12:07

















              • And how to find such $Q$?
                – Blue
                Aug 28 at 12:01











              • @Blue $Q$ is the orthogonal matrix containing an orthonormal basis of eigenvectors as columns
                – gimusi
                Aug 28 at 12:03











              • @Blue refer to en.wikipedia.org/wiki/Symmetric_matrix#Decomposition
                – gimusi
                Aug 28 at 12:04










              • @Blue refer also to en.wikipedia.org/wiki/Cholesky_decomposition
                – gimusi
                Aug 28 at 12:05










              • @Blue This is the orthogonal diagonalisation of $B$, which are guaranteed to exist for symmetric matrices. You find them ususally by eigenvalue / eigenvector analysis. You do have to make sure that $B$ is positive semi-definite, though, or at least that it has an even number of negative eigenvalues or something. Otherwise $Lambda^1/2$ is going to be a bit tricky.
                – Arthur
                Aug 28 at 12:07
















              And how to find such $Q$?
              – Blue
              Aug 28 at 12:01





              And how to find such $Q$?
              – Blue
              Aug 28 at 12:01













              @Blue $Q$ is the orthogonal matrix containing an orthonormal basis of eigenvectors as columns
              – gimusi
              Aug 28 at 12:03





              @Blue $Q$ is the orthogonal matrix containing an orthonormal basis of eigenvectors as columns
              – gimusi
              Aug 28 at 12:03













              @Blue refer to en.wikipedia.org/wiki/Symmetric_matrix#Decomposition
              – gimusi
              Aug 28 at 12:04




              @Blue refer to en.wikipedia.org/wiki/Symmetric_matrix#Decomposition
              – gimusi
              Aug 28 at 12:04












              @Blue refer also to en.wikipedia.org/wiki/Cholesky_decomposition
              – gimusi
              Aug 28 at 12:05




              @Blue refer also to en.wikipedia.org/wiki/Cholesky_decomposition
              – gimusi
              Aug 28 at 12:05












              @Blue This is the orthogonal diagonalisation of $B$, which are guaranteed to exist for symmetric matrices. You find them ususally by eigenvalue / eigenvector analysis. You do have to make sure that $B$ is positive semi-definite, though, or at least that it has an even number of negative eigenvalues or something. Otherwise $Lambda^1/2$ is going to be a bit tricky.
              – Arthur
              Aug 28 at 12:07





              @Blue This is the orthogonal diagonalisation of $B$, which are guaranteed to exist for symmetric matrices. You find them ususally by eigenvalue / eigenvector analysis. You do have to make sure that $B$ is positive semi-definite, though, or at least that it has an even number of negative eigenvalues or something. Otherwise $Lambda^1/2$ is going to be a bit tricky.
              – Arthur
              Aug 28 at 12:07











              up vote
              2
              down vote













              You would want this version:



              $$ Q^T D Q = H $$
              $$left(
              beginarrayrrrr
              1 & 0 & 0 & 0 \
              frac 3 5 & 1 & 0 & 0 \
              frac 1 3 & 0 & 1 & 0 \
              - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
              endarray
              right)
              left(
              beginarrayrrrr
              15 & 0 & 0 & 0 \
              0 & frac 48 5 & 0 & 0 \
              0 & 0 & frac 40 3 & 0 \
              0 & 0 & 0 & frac 128 15 \
              endarray
              right)
              left(
              beginarrayrrrr
              1 & frac 3 5 & frac 1 3 & - frac 1 5 \
              0 & 1 & 0 & - frac 1 3 \
              0 & 0 & 1 & - frac 3 5 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              = left(
              beginarrayrrrr
              15 & 9 & 5 & - 3 \
              9 & 15 & 3 & - 5 \
              5 & 3 & 15 & - 9 \
              - 3 & - 5 & - 9 & 15 \
              endarray
              right)
              $$



              Since $D$ is positive definite, create a matrix $F$ with entries $sqrt d$ to get $Q^T F^T F Q = (FQ)^T (FQ) = H$ after deleting the $D.$ Let's see, you had a factor of $1/4,$ so $ (FQ/2)^T (FQ/2) = H/4$



              Algorithm discussed at http://math.stackexchange.com/questions/1388421/reference-for-linear-algebra-books-that-teach-reverse-hermite-method-for-symmetr
              https://en.wikipedia.org/wiki/Sylvester%27s_law_of_inertia

              $$ H = left(
              beginarrayrrrr
              15 & 9 & 5 & - 3 \
              9 & 15 & 3 & - 5 \
              5 & 3 & 15 & - 9 \
              - 3 & - 5 & - 9 & 15 \
              endarray
              right)
              $$
              $$ D_0 = H $$
              $$ E_j^T D_j-1 E_j = D_j $$
              $$ P_j-1 E_j = P_j $$
              $$ E_j^-1 Q_j-1 = Q_j $$
              $$ P_j Q_j = Q_j P_j = I $$
              $$ P_j^T H P_j = D_j $$
              $$ Q_j^T D_j Q_j = H $$



              $$ H = left(
              beginarrayrrrr
              15 & 9 & 5 & - 3 \
              9 & 15 & 3 & - 5 \
              5 & 3 & 15 & - 9 \
              - 3 & - 5 & - 9 & 15 \
              endarray
              right)
              $$



              ==============================================



              $$ E_1 = left(
              beginarrayrrrr
              1 & - frac 3 5 & 0 & 0 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              $$
              $$ P_1 = left(
              beginarrayrrrr
              1 & - frac 3 5 & 0 & 0 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; Q_1 = left(
              beginarrayrrrr
              1 & frac 3 5 & 0 & 0 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; D_1 = left(
              beginarrayrrrr
              15 & 0 & 5 & - 3 \
              0 & frac 48 5 & 0 & - frac 16 5 \
              5 & 0 & 15 & - 9 \
              - 3 & - frac 16 5 & - 9 & 15 \
              endarray
              right)
              $$



              ==============================================



              $$ E_2 = left(
              beginarrayrrrr
              1 & 0 & - frac 1 3 & 0 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              $$
              $$ P_2 = left(
              beginarrayrrrr
              1 & - frac 3 5 & - frac 1 3 & 0 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; Q_2 = left(
              beginarrayrrrr
              1 & frac 3 5 & frac 1 3 & 0 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; D_2 = left(
              beginarrayrrrr
              15 & 0 & 0 & - 3 \
              0 & frac 48 5 & 0 & - frac 16 5 \
              0 & 0 & frac 40 3 & - 8 \
              - 3 & - frac 16 5 & - 8 & 15 \
              endarray
              right)
              $$



              ==============================================



              $$ E_3 = left(
              beginarrayrrrr
              1 & 0 & 0 & frac 1 5 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              $$
              $$ P_3 = left(
              beginarrayrrrr
              1 & - frac 3 5 & - frac 1 3 & frac 1 5 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; Q_3 = left(
              beginarrayrrrr
              1 & frac 3 5 & frac 1 3 & - frac 1 5 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; D_3 = left(
              beginarrayrrrr
              15 & 0 & 0 & 0 \
              0 & frac 48 5 & 0 & - frac 16 5 \
              0 & 0 & frac 40 3 & - 8 \
              0 & - frac 16 5 & - 8 & frac 72 5 \
              endarray
              right)
              $$



              ==============================================



              $$ E_4 = left(
              beginarrayrrrr
              1 & 0 & 0 & 0 \
              0 & 1 & 0 & frac 1 3 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              $$
              $$ P_4 = left(
              beginarrayrrrr
              1 & - frac 3 5 & - frac 1 3 & 0 \
              0 & 1 & 0 & frac 1 3 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; Q_4 = left(
              beginarrayrrrr
              1 & frac 3 5 & frac 1 3 & - frac 1 5 \
              0 & 1 & 0 & - frac 1 3 \
              0 & 0 & 1 & 0 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; D_4 = left(
              beginarrayrrrr
              15 & 0 & 0 & 0 \
              0 & frac 48 5 & 0 & 0 \
              0 & 0 & frac 40 3 & - 8 \
              0 & 0 & - 8 & frac 40 3 \
              endarray
              right)
              $$



              ==============================================



              $$ E_5 = left(
              beginarrayrrrr
              1 & 0 & 0 & 0 \
              0 & 1 & 0 & 0 \
              0 & 0 & 1 & frac 3 5 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              $$
              $$ P_5 = left(
              beginarrayrrrr
              1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
              0 & 1 & 0 & frac 1 3 \
              0 & 0 & 1 & frac 3 5 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; Q_5 = left(
              beginarrayrrrr
              1 & frac 3 5 & frac 1 3 & - frac 1 5 \
              0 & 1 & 0 & - frac 1 3 \
              0 & 0 & 1 & - frac 3 5 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              , ; ; ; D_5 = left(
              beginarrayrrrr
              15 & 0 & 0 & 0 \
              0 & frac 48 5 & 0 & 0 \
              0 & 0 & frac 40 3 & 0 \
              0 & 0 & 0 & frac 128 15 \
              endarray
              right)
              $$



              ==============================================



              $$ P^T H P = D $$
              $$left(
              beginarrayrrrr
              1 & 0 & 0 & 0 \
              - frac 3 5 & 1 & 0 & 0 \
              - frac 1 3 & 0 & 1 & 0 \
              - frac 1 5 & frac 1 3 & frac 3 5 & 1 \
              endarray
              right)
              left(
              beginarrayrrrr
              15 & 9 & 5 & - 3 \
              9 & 15 & 3 & - 5 \
              5 & 3 & 15 & - 9 \
              - 3 & - 5 & - 9 & 15 \
              endarray
              right)
              left(
              beginarrayrrrr
              1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
              0 & 1 & 0 & frac 1 3 \
              0 & 0 & 1 & frac 3 5 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              = left(
              beginarrayrrrr
              15 & 0 & 0 & 0 \
              0 & frac 48 5 & 0 & 0 \
              0 & 0 & frac 40 3 & 0 \
              0 & 0 & 0 & frac 128 15 \
              endarray
              right)
              $$
              $$ Q^T D Q = H $$
              $$left(
              beginarrayrrrr
              1 & 0 & 0 & 0 \
              frac 3 5 & 1 & 0 & 0 \
              frac 1 3 & 0 & 1 & 0 \
              - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
              endarray
              right)
              left(
              beginarrayrrrr
              15 & 0 & 0 & 0 \
              0 & frac 48 5 & 0 & 0 \
              0 & 0 & frac 40 3 & 0 \
              0 & 0 & 0 & frac 128 15 \
              endarray
              right)
              left(
              beginarrayrrrr
              1 & frac 3 5 & frac 1 3 & - frac 1 5 \
              0 & 1 & 0 & - frac 1 3 \
              0 & 0 & 1 & - frac 3 5 \
              0 & 0 & 0 & 1 \
              endarray
              right)
              = left(
              beginarrayrrrr
              15 & 9 & 5 & - 3 \
              9 & 15 & 3 & - 5 \
              5 & 3 & 15 & - 9 \
              - 3 & - 5 & - 9 & 15 \
              endarray
              right)
              $$






              share|cite|improve this answer
























                up vote
                2
                down vote













                You would want this version:



                $$ Q^T D Q = H $$
                $$left(
                beginarrayrrrr
                1 & 0 & 0 & 0 \
                frac 3 5 & 1 & 0 & 0 \
                frac 1 3 & 0 & 1 & 0 \
                - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
                endarray
                right)
                left(
                beginarrayrrrr
                15 & 0 & 0 & 0 \
                0 & frac 48 5 & 0 & 0 \
                0 & 0 & frac 40 3 & 0 \
                0 & 0 & 0 & frac 128 15 \
                endarray
                right)
                left(
                beginarrayrrrr
                1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                0 & 1 & 0 & - frac 1 3 \
                0 & 0 & 1 & - frac 3 5 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                = left(
                beginarrayrrrr
                15 & 9 & 5 & - 3 \
                9 & 15 & 3 & - 5 \
                5 & 3 & 15 & - 9 \
                - 3 & - 5 & - 9 & 15 \
                endarray
                right)
                $$



                Since $D$ is positive definite, create a matrix $F$ with entries $sqrt d$ to get $Q^T F^T F Q = (FQ)^T (FQ) = H$ after deleting the $D.$ Let's see, you had a factor of $1/4,$ so $ (FQ/2)^T (FQ/2) = H/4$



                Algorithm discussed at http://math.stackexchange.com/questions/1388421/reference-for-linear-algebra-books-that-teach-reverse-hermite-method-for-symmetr
                https://en.wikipedia.org/wiki/Sylvester%27s_law_of_inertia

                $$ H = left(
                beginarrayrrrr
                15 & 9 & 5 & - 3 \
                9 & 15 & 3 & - 5 \
                5 & 3 & 15 & - 9 \
                - 3 & - 5 & - 9 & 15 \
                endarray
                right)
                $$
                $$ D_0 = H $$
                $$ E_j^T D_j-1 E_j = D_j $$
                $$ P_j-1 E_j = P_j $$
                $$ E_j^-1 Q_j-1 = Q_j $$
                $$ P_j Q_j = Q_j P_j = I $$
                $$ P_j^T H P_j = D_j $$
                $$ Q_j^T D_j Q_j = H $$



                $$ H = left(
                beginarrayrrrr
                15 & 9 & 5 & - 3 \
                9 & 15 & 3 & - 5 \
                5 & 3 & 15 & - 9 \
                - 3 & - 5 & - 9 & 15 \
                endarray
                right)
                $$



                ==============================================



                $$ E_1 = left(
                beginarrayrrrr
                1 & - frac 3 5 & 0 & 0 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                $$
                $$ P_1 = left(
                beginarrayrrrr
                1 & - frac 3 5 & 0 & 0 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; Q_1 = left(
                beginarrayrrrr
                1 & frac 3 5 & 0 & 0 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; D_1 = left(
                beginarrayrrrr
                15 & 0 & 5 & - 3 \
                0 & frac 48 5 & 0 & - frac 16 5 \
                5 & 0 & 15 & - 9 \
                - 3 & - frac 16 5 & - 9 & 15 \
                endarray
                right)
                $$



                ==============================================



                $$ E_2 = left(
                beginarrayrrrr
                1 & 0 & - frac 1 3 & 0 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                $$
                $$ P_2 = left(
                beginarrayrrrr
                1 & - frac 3 5 & - frac 1 3 & 0 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; Q_2 = left(
                beginarrayrrrr
                1 & frac 3 5 & frac 1 3 & 0 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; D_2 = left(
                beginarrayrrrr
                15 & 0 & 0 & - 3 \
                0 & frac 48 5 & 0 & - frac 16 5 \
                0 & 0 & frac 40 3 & - 8 \
                - 3 & - frac 16 5 & - 8 & 15 \
                endarray
                right)
                $$



                ==============================================



                $$ E_3 = left(
                beginarrayrrrr
                1 & 0 & 0 & frac 1 5 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                $$
                $$ P_3 = left(
                beginarrayrrrr
                1 & - frac 3 5 & - frac 1 3 & frac 1 5 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; Q_3 = left(
                beginarrayrrrr
                1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; D_3 = left(
                beginarrayrrrr
                15 & 0 & 0 & 0 \
                0 & frac 48 5 & 0 & - frac 16 5 \
                0 & 0 & frac 40 3 & - 8 \
                0 & - frac 16 5 & - 8 & frac 72 5 \
                endarray
                right)
                $$



                ==============================================



                $$ E_4 = left(
                beginarrayrrrr
                1 & 0 & 0 & 0 \
                0 & 1 & 0 & frac 1 3 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                $$
                $$ P_4 = left(
                beginarrayrrrr
                1 & - frac 3 5 & - frac 1 3 & 0 \
                0 & 1 & 0 & frac 1 3 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; Q_4 = left(
                beginarrayrrrr
                1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                0 & 1 & 0 & - frac 1 3 \
                0 & 0 & 1 & 0 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; D_4 = left(
                beginarrayrrrr
                15 & 0 & 0 & 0 \
                0 & frac 48 5 & 0 & 0 \
                0 & 0 & frac 40 3 & - 8 \
                0 & 0 & - 8 & frac 40 3 \
                endarray
                right)
                $$



                ==============================================



                $$ E_5 = left(
                beginarrayrrrr
                1 & 0 & 0 & 0 \
                0 & 1 & 0 & 0 \
                0 & 0 & 1 & frac 3 5 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                $$
                $$ P_5 = left(
                beginarrayrrrr
                1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
                0 & 1 & 0 & frac 1 3 \
                0 & 0 & 1 & frac 3 5 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; Q_5 = left(
                beginarrayrrrr
                1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                0 & 1 & 0 & - frac 1 3 \
                0 & 0 & 1 & - frac 3 5 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                , ; ; ; D_5 = left(
                beginarrayrrrr
                15 & 0 & 0 & 0 \
                0 & frac 48 5 & 0 & 0 \
                0 & 0 & frac 40 3 & 0 \
                0 & 0 & 0 & frac 128 15 \
                endarray
                right)
                $$



                ==============================================



                $$ P^T H P = D $$
                $$left(
                beginarrayrrrr
                1 & 0 & 0 & 0 \
                - frac 3 5 & 1 & 0 & 0 \
                - frac 1 3 & 0 & 1 & 0 \
                - frac 1 5 & frac 1 3 & frac 3 5 & 1 \
                endarray
                right)
                left(
                beginarrayrrrr
                15 & 9 & 5 & - 3 \
                9 & 15 & 3 & - 5 \
                5 & 3 & 15 & - 9 \
                - 3 & - 5 & - 9 & 15 \
                endarray
                right)
                left(
                beginarrayrrrr
                1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
                0 & 1 & 0 & frac 1 3 \
                0 & 0 & 1 & frac 3 5 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                = left(
                beginarrayrrrr
                15 & 0 & 0 & 0 \
                0 & frac 48 5 & 0 & 0 \
                0 & 0 & frac 40 3 & 0 \
                0 & 0 & 0 & frac 128 15 \
                endarray
                right)
                $$
                $$ Q^T D Q = H $$
                $$left(
                beginarrayrrrr
                1 & 0 & 0 & 0 \
                frac 3 5 & 1 & 0 & 0 \
                frac 1 3 & 0 & 1 & 0 \
                - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
                endarray
                right)
                left(
                beginarrayrrrr
                15 & 0 & 0 & 0 \
                0 & frac 48 5 & 0 & 0 \
                0 & 0 & frac 40 3 & 0 \
                0 & 0 & 0 & frac 128 15 \
                endarray
                right)
                left(
                beginarrayrrrr
                1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                0 & 1 & 0 & - frac 1 3 \
                0 & 0 & 1 & - frac 3 5 \
                0 & 0 & 0 & 1 \
                endarray
                right)
                = left(
                beginarrayrrrr
                15 & 9 & 5 & - 3 \
                9 & 15 & 3 & - 5 \
                5 & 3 & 15 & - 9 \
                - 3 & - 5 & - 9 & 15 \
                endarray
                right)
                $$






                share|cite|improve this answer






















                  up vote
                  2
                  down vote










                  up vote
                  2
                  down vote









                  You would want this version:



                  $$ Q^T D Q = H $$
                  $$left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  frac 3 5 & 1 & 0 & 0 \
                  frac 1 3 & 0 & 1 & 0 \
                  - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & 0 \
                  0 & 0 & 0 & frac 128 15 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & - frac 1 3 \
                  0 & 0 & 1 & - frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  = left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  $$



                  Since $D$ is positive definite, create a matrix $F$ with entries $sqrt d$ to get $Q^T F^T F Q = (FQ)^T (FQ) = H$ after deleting the $D.$ Let's see, you had a factor of $1/4,$ so $ (FQ/2)^T (FQ/2) = H/4$



                  Algorithm discussed at http://math.stackexchange.com/questions/1388421/reference-for-linear-algebra-books-that-teach-reverse-hermite-method-for-symmetr
                  https://en.wikipedia.org/wiki/Sylvester%27s_law_of_inertia

                  $$ H = left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  $$
                  $$ D_0 = H $$
                  $$ E_j^T D_j-1 E_j = D_j $$
                  $$ P_j-1 E_j = P_j $$
                  $$ E_j^-1 Q_j-1 = Q_j $$
                  $$ P_j Q_j = Q_j P_j = I $$
                  $$ P_j^T H P_j = D_j $$
                  $$ Q_j^T D_j Q_j = H $$



                  $$ H = left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_1 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & 0 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_1 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & 0 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_1 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & 0 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_1 = left(
                  beginarrayrrrr
                  15 & 0 & 5 & - 3 \
                  0 & frac 48 5 & 0 & - frac 16 5 \
                  5 & 0 & 15 & - 9 \
                  - 3 & - frac 16 5 & - 9 & 15 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_2 = left(
                  beginarrayrrrr
                  1 & 0 & - frac 1 3 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_2 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_2 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_2 = left(
                  beginarrayrrrr
                  15 & 0 & 0 & - 3 \
                  0 & frac 48 5 & 0 & - frac 16 5 \
                  0 & 0 & frac 40 3 & - 8 \
                  - 3 & - frac 16 5 & - 8 & 15 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_3 = left(
                  beginarrayrrrr
                  1 & 0 & 0 & frac 1 5 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_3 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & frac 1 5 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_3 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_3 = left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & - frac 16 5 \
                  0 & 0 & frac 40 3 & - 8 \
                  0 & - frac 16 5 & - 8 & frac 72 5 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_4 = left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  0 & 1 & 0 & frac 1 3 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_4 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & 0 \
                  0 & 1 & 0 & frac 1 3 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_4 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & - frac 1 3 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_4 = left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & - 8 \
                  0 & 0 & - 8 & frac 40 3 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_5 = left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_5 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & frac 1 3 \
                  0 & 0 & 1 & frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_5 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & - frac 1 3 \
                  0 & 0 & 1 & - frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_5 = left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & 0 \
                  0 & 0 & 0 & frac 128 15 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ P^T H P = D $$
                  $$left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  - frac 3 5 & 1 & 0 & 0 \
                  - frac 1 3 & 0 & 1 & 0 \
                  - frac 1 5 & frac 1 3 & frac 3 5 & 1 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & frac 1 3 \
                  0 & 0 & 1 & frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  = left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & 0 \
                  0 & 0 & 0 & frac 128 15 \
                  endarray
                  right)
                  $$
                  $$ Q^T D Q = H $$
                  $$left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  frac 3 5 & 1 & 0 & 0 \
                  frac 1 3 & 0 & 1 & 0 \
                  - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & 0 \
                  0 & 0 & 0 & frac 128 15 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & - frac 1 3 \
                  0 & 0 & 1 & - frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  = left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  $$






                  share|cite|improve this answer












                  You would want this version:



                  $$ Q^T D Q = H $$
                  $$left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  frac 3 5 & 1 & 0 & 0 \
                  frac 1 3 & 0 & 1 & 0 \
                  - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & 0 \
                  0 & 0 & 0 & frac 128 15 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & - frac 1 3 \
                  0 & 0 & 1 & - frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  = left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  $$



                  Since $D$ is positive definite, create a matrix $F$ with entries $sqrt d$ to get $Q^T F^T F Q = (FQ)^T (FQ) = H$ after deleting the $D.$ Let's see, you had a factor of $1/4,$ so $ (FQ/2)^T (FQ/2) = H/4$



                  Algorithm discussed at http://math.stackexchange.com/questions/1388421/reference-for-linear-algebra-books-that-teach-reverse-hermite-method-for-symmetr
                  https://en.wikipedia.org/wiki/Sylvester%27s_law_of_inertia

                  $$ H = left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  $$
                  $$ D_0 = H $$
                  $$ E_j^T D_j-1 E_j = D_j $$
                  $$ P_j-1 E_j = P_j $$
                  $$ E_j^-1 Q_j-1 = Q_j $$
                  $$ P_j Q_j = Q_j P_j = I $$
                  $$ P_j^T H P_j = D_j $$
                  $$ Q_j^T D_j Q_j = H $$



                  $$ H = left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_1 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & 0 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_1 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & 0 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_1 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & 0 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_1 = left(
                  beginarrayrrrr
                  15 & 0 & 5 & - 3 \
                  0 & frac 48 5 & 0 & - frac 16 5 \
                  5 & 0 & 15 & - 9 \
                  - 3 & - frac 16 5 & - 9 & 15 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_2 = left(
                  beginarrayrrrr
                  1 & 0 & - frac 1 3 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_2 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_2 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_2 = left(
                  beginarrayrrrr
                  15 & 0 & 0 & - 3 \
                  0 & frac 48 5 & 0 & - frac 16 5 \
                  0 & 0 & frac 40 3 & - 8 \
                  - 3 & - frac 16 5 & - 8 & 15 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_3 = left(
                  beginarrayrrrr
                  1 & 0 & 0 & frac 1 5 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_3 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & frac 1 5 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_3 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_3 = left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & - frac 16 5 \
                  0 & 0 & frac 40 3 & - 8 \
                  0 & - frac 16 5 & - 8 & frac 72 5 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_4 = left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  0 & 1 & 0 & frac 1 3 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_4 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & 0 \
                  0 & 1 & 0 & frac 1 3 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_4 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & - frac 1 3 \
                  0 & 0 & 1 & 0 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_4 = left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & - 8 \
                  0 & 0 & - 8 & frac 40 3 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ E_5 = left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  0 & 1 & 0 & 0 \
                  0 & 0 & 1 & frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  $$
                  $$ P_5 = left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & frac 1 3 \
                  0 & 0 & 1 & frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; Q_5 = left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & - frac 1 3 \
                  0 & 0 & 1 & - frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  , ; ; ; D_5 = left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & 0 \
                  0 & 0 & 0 & frac 128 15 \
                  endarray
                  right)
                  $$



                  ==============================================



                  $$ P^T H P = D $$
                  $$left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  - frac 3 5 & 1 & 0 & 0 \
                  - frac 1 3 & 0 & 1 & 0 \
                  - frac 1 5 & frac 1 3 & frac 3 5 & 1 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  1 & - frac 3 5 & - frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & frac 1 3 \
                  0 & 0 & 1 & frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  = left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & 0 \
                  0 & 0 & 0 & frac 128 15 \
                  endarray
                  right)
                  $$
                  $$ Q^T D Q = H $$
                  $$left(
                  beginarrayrrrr
                  1 & 0 & 0 & 0 \
                  frac 3 5 & 1 & 0 & 0 \
                  frac 1 3 & 0 & 1 & 0 \
                  - frac 1 5 & - frac 1 3 & - frac 3 5 & 1 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  15 & 0 & 0 & 0 \
                  0 & frac 48 5 & 0 & 0 \
                  0 & 0 & frac 40 3 & 0 \
                  0 & 0 & 0 & frac 128 15 \
                  endarray
                  right)
                  left(
                  beginarrayrrrr
                  1 & frac 3 5 & frac 1 3 & - frac 1 5 \
                  0 & 1 & 0 & - frac 1 3 \
                  0 & 0 & 1 & - frac 3 5 \
                  0 & 0 & 0 & 1 \
                  endarray
                  right)
                  = left(
                  beginarrayrrrr
                  15 & 9 & 5 & - 3 \
                  9 & 15 & 3 & - 5 \
                  5 & 3 & 15 & - 9 \
                  - 3 & - 5 & - 9 & 15 \
                  endarray
                  right)
                  $$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Aug 28 at 17:52









                  Will Jagy

                  97.8k595196




                  97.8k595196




















                      up vote
                      1
                      down vote













                      Looking again, this seems to be a contest type question. With a little trickery, one may find the eigenvalues entirely by hand, without attempting any 4 by 4 determinant. MORE TO COME



                      First, multiply by $4,$ the fraction can be dealt with later. Next, multiply one left and right by the orthogonal matrix (its own transpose)
                      $$
                      left(
                      beginarraycccc
                      1 & 0 & 0 & 0 \
                      0 & 1 & 0 & 0 \
                      0 & 0 & 1 & 0 \
                      0 & 0 & 0 & -1
                      endarray
                      right)
                      $$



                      The result is a matrix in 2 by 2 blocks,
                      $$
                      M =
                      left(
                      beginarraycc
                      3A & A \
                      A & 3A
                      endarray
                      right)
                      $$
                      where
                      $$
                      A =
                      left(
                      beginarraycc
                      5 & 3 \
                      3 & 5
                      endarray
                      right)
                      $$
                      The eigenvalues of this are $2,8.$ We can construct eigenvectors for the 4 by 4 $M$ above with no trouble. If $v$ has eigenvalue $2,$ then
                      as eigenvectors for my $M$ above,
                      $$
                      left(
                      beginarrayc
                      v \
                      v
                      endarray
                      right)
                      $$
                      has eigenvalue $8$ while
                      $$
                      left(
                      beginarrayc
                      v \
                      -v
                      endarray
                      right)
                      $$
                      has eigenvalue $4.$
                      If $w$ has eigenvalue $8,$ then
                      as eigenvectors for my $M$ above,
                      $$
                      left(
                      beginarrayc
                      w \
                      w
                      endarray
                      right)
                      $$
                      has eigenvalue $32$ while
                      $$
                      left(
                      beginarrayc
                      w \
                      -w
                      endarray
                      right)
                      $$
                      has eigenvalue $16.$



                      So, my $M$ has eigenvalues $4,8,16,32.$ One may use the $M$ eigenvectors to reconstruct eigenvectors for the original matrix, or start over. Including the $1/4$ fraction, the matrix in the question has eigenvalues $1,2,4,8.$






                      share|cite|improve this answer


























                        up vote
                        1
                        down vote













                        Looking again, this seems to be a contest type question. With a little trickery, one may find the eigenvalues entirely by hand, without attempting any 4 by 4 determinant. MORE TO COME



                        First, multiply by $4,$ the fraction can be dealt with later. Next, multiply one left and right by the orthogonal matrix (its own transpose)
                        $$
                        left(
                        beginarraycccc
                        1 & 0 & 0 & 0 \
                        0 & 1 & 0 & 0 \
                        0 & 0 & 1 & 0 \
                        0 & 0 & 0 & -1
                        endarray
                        right)
                        $$



                        The result is a matrix in 2 by 2 blocks,
                        $$
                        M =
                        left(
                        beginarraycc
                        3A & A \
                        A & 3A
                        endarray
                        right)
                        $$
                        where
                        $$
                        A =
                        left(
                        beginarraycc
                        5 & 3 \
                        3 & 5
                        endarray
                        right)
                        $$
                        The eigenvalues of this are $2,8.$ We can construct eigenvectors for the 4 by 4 $M$ above with no trouble. If $v$ has eigenvalue $2,$ then
                        as eigenvectors for my $M$ above,
                        $$
                        left(
                        beginarrayc
                        v \
                        v
                        endarray
                        right)
                        $$
                        has eigenvalue $8$ while
                        $$
                        left(
                        beginarrayc
                        v \
                        -v
                        endarray
                        right)
                        $$
                        has eigenvalue $4.$
                        If $w$ has eigenvalue $8,$ then
                        as eigenvectors for my $M$ above,
                        $$
                        left(
                        beginarrayc
                        w \
                        w
                        endarray
                        right)
                        $$
                        has eigenvalue $32$ while
                        $$
                        left(
                        beginarrayc
                        w \
                        -w
                        endarray
                        right)
                        $$
                        has eigenvalue $16.$



                        So, my $M$ has eigenvalues $4,8,16,32.$ One may use the $M$ eigenvectors to reconstruct eigenvectors for the original matrix, or start over. Including the $1/4$ fraction, the matrix in the question has eigenvalues $1,2,4,8.$






                        share|cite|improve this answer
























                          up vote
                          1
                          down vote










                          up vote
                          1
                          down vote









                          Looking again, this seems to be a contest type question. With a little trickery, one may find the eigenvalues entirely by hand, without attempting any 4 by 4 determinant. MORE TO COME



                          First, multiply by $4,$ the fraction can be dealt with later. Next, multiply one left and right by the orthogonal matrix (its own transpose)
                          $$
                          left(
                          beginarraycccc
                          1 & 0 & 0 & 0 \
                          0 & 1 & 0 & 0 \
                          0 & 0 & 1 & 0 \
                          0 & 0 & 0 & -1
                          endarray
                          right)
                          $$



                          The result is a matrix in 2 by 2 blocks,
                          $$
                          M =
                          left(
                          beginarraycc
                          3A & A \
                          A & 3A
                          endarray
                          right)
                          $$
                          where
                          $$
                          A =
                          left(
                          beginarraycc
                          5 & 3 \
                          3 & 5
                          endarray
                          right)
                          $$
                          The eigenvalues of this are $2,8.$ We can construct eigenvectors for the 4 by 4 $M$ above with no trouble. If $v$ has eigenvalue $2,$ then
                          as eigenvectors for my $M$ above,
                          $$
                          left(
                          beginarrayc
                          v \
                          v
                          endarray
                          right)
                          $$
                          has eigenvalue $8$ while
                          $$
                          left(
                          beginarrayc
                          v \
                          -v
                          endarray
                          right)
                          $$
                          has eigenvalue $4.$
                          If $w$ has eigenvalue $8,$ then
                          as eigenvectors for my $M$ above,
                          $$
                          left(
                          beginarrayc
                          w \
                          w
                          endarray
                          right)
                          $$
                          has eigenvalue $32$ while
                          $$
                          left(
                          beginarrayc
                          w \
                          -w
                          endarray
                          right)
                          $$
                          has eigenvalue $16.$



                          So, my $M$ has eigenvalues $4,8,16,32.$ One may use the $M$ eigenvectors to reconstruct eigenvectors for the original matrix, or start over. Including the $1/4$ fraction, the matrix in the question has eigenvalues $1,2,4,8.$






                          share|cite|improve this answer














                          Looking again, this seems to be a contest type question. With a little trickery, one may find the eigenvalues entirely by hand, without attempting any 4 by 4 determinant. MORE TO COME



                          First, multiply by $4,$ the fraction can be dealt with later. Next, multiply one left and right by the orthogonal matrix (its own transpose)
                          $$
                          left(
                          beginarraycccc
                          1 & 0 & 0 & 0 \
                          0 & 1 & 0 & 0 \
                          0 & 0 & 1 & 0 \
                          0 & 0 & 0 & -1
                          endarray
                          right)
                          $$



                          The result is a matrix in 2 by 2 blocks,
                          $$
                          M =
                          left(
                          beginarraycc
                          3A & A \
                          A & 3A
                          endarray
                          right)
                          $$
                          where
                          $$
                          A =
                          left(
                          beginarraycc
                          5 & 3 \
                          3 & 5
                          endarray
                          right)
                          $$
                          The eigenvalues of this are $2,8.$ We can construct eigenvectors for the 4 by 4 $M$ above with no trouble. If $v$ has eigenvalue $2,$ then
                          as eigenvectors for my $M$ above,
                          $$
                          left(
                          beginarrayc
                          v \
                          v
                          endarray
                          right)
                          $$
                          has eigenvalue $8$ while
                          $$
                          left(
                          beginarrayc
                          v \
                          -v
                          endarray
                          right)
                          $$
                          has eigenvalue $4.$
                          If $w$ has eigenvalue $8,$ then
                          as eigenvectors for my $M$ above,
                          $$
                          left(
                          beginarrayc
                          w \
                          w
                          endarray
                          right)
                          $$
                          has eigenvalue $32$ while
                          $$
                          left(
                          beginarrayc
                          w \
                          -w
                          endarray
                          right)
                          $$
                          has eigenvalue $16.$



                          So, my $M$ has eigenvalues $4,8,16,32.$ One may use the $M$ eigenvectors to reconstruct eigenvectors for the original matrix, or start over. Including the $1/4$ fraction, the matrix in the question has eigenvalues $1,2,4,8.$







                          share|cite|improve this answer














                          share|cite|improve this answer



                          share|cite|improve this answer








                          edited Aug 29 at 17:42

























                          answered Aug 29 at 17:18









                          Will Jagy

                          97.8k595196




                          97.8k595196












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