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Principal axes of deformed ellipsoid



The 2019 Stack Overflow Developer Survey Results Are InTransformation of ellipsoid to sphereLinear transformations for fixing the line $y = 0$What shape do we get when we shear an ellipse? And more generally, do affine transformations always map conic sections to conic sections?linear combination of phase of complex signalsFor which point is the transformation linear?Can you convert a non “normal” complex square matrix into a “normal” one?Explain the geometrical meaning of Singular Value Decomposition (SVD)How is it that matrix multiplication represents linear transforms?Find a matrix $P$ that diagonalizes the matrix $A$, and determine $P^-1AP$Ellipsoid and linear transformation










0












$begingroup$


I have a transformation matrix $T$ which stretches and rotates the unit sphere into an ellipsoid. I have a second, diagonal matrix
$$S=beginbmatrixs_x&0&0\
0&s_y&0\
0&0&s_z
endbmatrix$$

which then stretches the first ellipsoid into another one. I need to find the principle axis directions and lengths of the second ellipsoid.



My first thought was to compose the two matrices
$$T'=ST$$
and find the eigenvalues and eigenvectors of $T'$, but this just gave the axes of the first ellipsoid deformed by $S$. (This seems obvious in hindsight, since the composition preserves the complete mapping, not just the resulting shape.)



My second thought is to work out the algebraic equation of the ellipsoid described by $T'$ and massage it back into a standard form.



Can anyone help?










share|cite|improve this question











$endgroup$











  • $begingroup$
    BTW, I'm expressing my vectors as columns, so the order of T'=ST is correct.
    $endgroup$
    – FragileX
    Mar 23 at 18:39










  • $begingroup$
    The resulting ellipsoid can be represented by the matrix $(ST)^-T(ST)^-1$.
    $endgroup$
    – amd
    Mar 24 at 3:41










  • $begingroup$
    @amd That produces eigenvectors pointing in the right direction, but the eigenvalues are not the right size.
    $endgroup$
    – FragileX
    Mar 24 at 18:55










  • $begingroup$
    The eigenvalues from $(ST)^-T(ST)^-1$ become the expected axis semi-lengths if I take the reciprocal of their square roots. I kind of figured that out by trial-and-error, though. Can someone who understands what's going on please write these comments up as a full answer?
    $endgroup$
    – FragileX
    Mar 24 at 19:30















0












$begingroup$


I have a transformation matrix $T$ which stretches and rotates the unit sphere into an ellipsoid. I have a second, diagonal matrix
$$S=beginbmatrixs_x&0&0\
0&s_y&0\
0&0&s_z
endbmatrix$$

which then stretches the first ellipsoid into another one. I need to find the principle axis directions and lengths of the second ellipsoid.



My first thought was to compose the two matrices
$$T'=ST$$
and find the eigenvalues and eigenvectors of $T'$, but this just gave the axes of the first ellipsoid deformed by $S$. (This seems obvious in hindsight, since the composition preserves the complete mapping, not just the resulting shape.)



My second thought is to work out the algebraic equation of the ellipsoid described by $T'$ and massage it back into a standard form.



Can anyone help?










share|cite|improve this question











$endgroup$











  • $begingroup$
    BTW, I'm expressing my vectors as columns, so the order of T'=ST is correct.
    $endgroup$
    – FragileX
    Mar 23 at 18:39










  • $begingroup$
    The resulting ellipsoid can be represented by the matrix $(ST)^-T(ST)^-1$.
    $endgroup$
    – amd
    Mar 24 at 3:41










  • $begingroup$
    @amd That produces eigenvectors pointing in the right direction, but the eigenvalues are not the right size.
    $endgroup$
    – FragileX
    Mar 24 at 18:55










  • $begingroup$
    The eigenvalues from $(ST)^-T(ST)^-1$ become the expected axis semi-lengths if I take the reciprocal of their square roots. I kind of figured that out by trial-and-error, though. Can someone who understands what's going on please write these comments up as a full answer?
    $endgroup$
    – FragileX
    Mar 24 at 19:30













0












0








0





$begingroup$


I have a transformation matrix $T$ which stretches and rotates the unit sphere into an ellipsoid. I have a second, diagonal matrix
$$S=beginbmatrixs_x&0&0\
0&s_y&0\
0&0&s_z
endbmatrix$$

which then stretches the first ellipsoid into another one. I need to find the principle axis directions and lengths of the second ellipsoid.



My first thought was to compose the two matrices
$$T'=ST$$
and find the eigenvalues and eigenvectors of $T'$, but this just gave the axes of the first ellipsoid deformed by $S$. (This seems obvious in hindsight, since the composition preserves the complete mapping, not just the resulting shape.)



My second thought is to work out the algebraic equation of the ellipsoid described by $T'$ and massage it back into a standard form.



Can anyone help?










share|cite|improve this question











$endgroup$




I have a transformation matrix $T$ which stretches and rotates the unit sphere into an ellipsoid. I have a second, diagonal matrix
$$S=beginbmatrixs_x&0&0\
0&s_y&0\
0&0&s_z
endbmatrix$$

which then stretches the first ellipsoid into another one. I need to find the principle axis directions and lengths of the second ellipsoid.



My first thought was to compose the two matrices
$$T'=ST$$
and find the eigenvalues and eigenvectors of $T'$, but this just gave the axes of the first ellipsoid deformed by $S$. (This seems obvious in hindsight, since the composition preserves the complete mapping, not just the resulting shape.)



My second thought is to work out the algebraic equation of the ellipsoid described by $T'$ and massage it back into a standard form.



Can anyone help?







linear-transformations






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Mar 23 at 18:05







FragileX

















asked Mar 23 at 17:42









FragileXFragileX

33




33











  • $begingroup$
    BTW, I'm expressing my vectors as columns, so the order of T'=ST is correct.
    $endgroup$
    – FragileX
    Mar 23 at 18:39










  • $begingroup$
    The resulting ellipsoid can be represented by the matrix $(ST)^-T(ST)^-1$.
    $endgroup$
    – amd
    Mar 24 at 3:41










  • $begingroup$
    @amd That produces eigenvectors pointing in the right direction, but the eigenvalues are not the right size.
    $endgroup$
    – FragileX
    Mar 24 at 18:55










  • $begingroup$
    The eigenvalues from $(ST)^-T(ST)^-1$ become the expected axis semi-lengths if I take the reciprocal of their square roots. I kind of figured that out by trial-and-error, though. Can someone who understands what's going on please write these comments up as a full answer?
    $endgroup$
    – FragileX
    Mar 24 at 19:30
















  • $begingroup$
    BTW, I'm expressing my vectors as columns, so the order of T'=ST is correct.
    $endgroup$
    – FragileX
    Mar 23 at 18:39










  • $begingroup$
    The resulting ellipsoid can be represented by the matrix $(ST)^-T(ST)^-1$.
    $endgroup$
    – amd
    Mar 24 at 3:41










  • $begingroup$
    @amd That produces eigenvectors pointing in the right direction, but the eigenvalues are not the right size.
    $endgroup$
    – FragileX
    Mar 24 at 18:55










  • $begingroup$
    The eigenvalues from $(ST)^-T(ST)^-1$ become the expected axis semi-lengths if I take the reciprocal of their square roots. I kind of figured that out by trial-and-error, though. Can someone who understands what's going on please write these comments up as a full answer?
    $endgroup$
    – FragileX
    Mar 24 at 19:30















$begingroup$
BTW, I'm expressing my vectors as columns, so the order of T'=ST is correct.
$endgroup$
– FragileX
Mar 23 at 18:39




$begingroup$
BTW, I'm expressing my vectors as columns, so the order of T'=ST is correct.
$endgroup$
– FragileX
Mar 23 at 18:39












$begingroup$
The resulting ellipsoid can be represented by the matrix $(ST)^-T(ST)^-1$.
$endgroup$
– amd
Mar 24 at 3:41




$begingroup$
The resulting ellipsoid can be represented by the matrix $(ST)^-T(ST)^-1$.
$endgroup$
– amd
Mar 24 at 3:41












$begingroup$
@amd That produces eigenvectors pointing in the right direction, but the eigenvalues are not the right size.
$endgroup$
– FragileX
Mar 24 at 18:55




$begingroup$
@amd That produces eigenvectors pointing in the right direction, but the eigenvalues are not the right size.
$endgroup$
– FragileX
Mar 24 at 18:55












$begingroup$
The eigenvalues from $(ST)^-T(ST)^-1$ become the expected axis semi-lengths if I take the reciprocal of their square roots. I kind of figured that out by trial-and-error, though. Can someone who understands what's going on please write these comments up as a full answer?
$endgroup$
– FragileX
Mar 24 at 19:30




$begingroup$
The eigenvalues from $(ST)^-T(ST)^-1$ become the expected axis semi-lengths if I take the reciprocal of their square roots. I kind of figured that out by trial-and-error, though. Can someone who understands what's going on please write these comments up as a full answer?
$endgroup$
– FragileX
Mar 24 at 19:30










1 Answer
1






active

oldest

votes


















0












$begingroup$

The equation $Ax^2+By^2+Cz^2+Exy+Fxz+Gyz=1$ of a quadric surface can be expressed in matrix form as $$beginbmatrixx&y&zendbmatrix beginbmatrixA&frac E2&frac F2\frac E2&B&frac G2\frac F2&frac G2&Cendbmatrix beginbmatrixx\y\zendbmatrix = mathbf x^TQmathbf x = 1.$$ The symmetric matrix $Q$ can be said to represent the quadric.† In particular, the unit sphere is represented by the identity matrix.



The principal axis theorem tells us that there’s an orthonormal basis of eigenvectors of $Q$ that gives the axes of this quadric and that the half-axis lengths are given by the reciprocal square roots of the (absolute values) of the corresponding eigenvalues: after a change of basis that’s an isometry because the basis is orthonormal, the equation of the quadric takes the form $lambda_1x'^2+lambda_2y'^2+lambda_3z'^2=1$.



Given the invertible point transformation $mathbf x'=Mmathbf x$, we have $$mathbf x^TQmathbf x = (M^-1mathbf x')^T Q (M^-1mathbf x') = mathbf x'^T (M^-TQM^-1) mathbf x',$$ so the quadric transforms as $Q' = M^-TQM^-1$. In your case, $M=ST$, so when we transform the unit sphere $Q=I$, we get $$Q' = M^-TQM^-1 = (ST)^-T(ST)^-1.$$ The reciprocal square roots of the eigenvalues of this matrix then are the half-axis lengths of the resulting ellipsoid and the corresponding eigenvectors, chosen to form an orthogonal set in case of repeated eigenvalues, are its principal axes.




† The fully-general quadric equation that includes linear terms and and arbitrary constant term can also be represented by a single $4times4$ matrix by using homogeneous coordinates. All of this applies to quadrics of any dimension.






share|cite|improve this answer











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    active

    oldest

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    0












    $begingroup$

    The equation $Ax^2+By^2+Cz^2+Exy+Fxz+Gyz=1$ of a quadric surface can be expressed in matrix form as $$beginbmatrixx&y&zendbmatrix beginbmatrixA&frac E2&frac F2\frac E2&B&frac G2\frac F2&frac G2&Cendbmatrix beginbmatrixx\y\zendbmatrix = mathbf x^TQmathbf x = 1.$$ The symmetric matrix $Q$ can be said to represent the quadric.† In particular, the unit sphere is represented by the identity matrix.



    The principal axis theorem tells us that there’s an orthonormal basis of eigenvectors of $Q$ that gives the axes of this quadric and that the half-axis lengths are given by the reciprocal square roots of the (absolute values) of the corresponding eigenvalues: after a change of basis that’s an isometry because the basis is orthonormal, the equation of the quadric takes the form $lambda_1x'^2+lambda_2y'^2+lambda_3z'^2=1$.



    Given the invertible point transformation $mathbf x'=Mmathbf x$, we have $$mathbf x^TQmathbf x = (M^-1mathbf x')^T Q (M^-1mathbf x') = mathbf x'^T (M^-TQM^-1) mathbf x',$$ so the quadric transforms as $Q' = M^-TQM^-1$. In your case, $M=ST$, so when we transform the unit sphere $Q=I$, we get $$Q' = M^-TQM^-1 = (ST)^-T(ST)^-1.$$ The reciprocal square roots of the eigenvalues of this matrix then are the half-axis lengths of the resulting ellipsoid and the corresponding eigenvectors, chosen to form an orthogonal set in case of repeated eigenvalues, are its principal axes.




    † The fully-general quadric equation that includes linear terms and and arbitrary constant term can also be represented by a single $4times4$ matrix by using homogeneous coordinates. All of this applies to quadrics of any dimension.






    share|cite|improve this answer











    $endgroup$

















      0












      $begingroup$

      The equation $Ax^2+By^2+Cz^2+Exy+Fxz+Gyz=1$ of a quadric surface can be expressed in matrix form as $$beginbmatrixx&y&zendbmatrix beginbmatrixA&frac E2&frac F2\frac E2&B&frac G2\frac F2&frac G2&Cendbmatrix beginbmatrixx\y\zendbmatrix = mathbf x^TQmathbf x = 1.$$ The symmetric matrix $Q$ can be said to represent the quadric.† In particular, the unit sphere is represented by the identity matrix.



      The principal axis theorem tells us that there’s an orthonormal basis of eigenvectors of $Q$ that gives the axes of this quadric and that the half-axis lengths are given by the reciprocal square roots of the (absolute values) of the corresponding eigenvalues: after a change of basis that’s an isometry because the basis is orthonormal, the equation of the quadric takes the form $lambda_1x'^2+lambda_2y'^2+lambda_3z'^2=1$.



      Given the invertible point transformation $mathbf x'=Mmathbf x$, we have $$mathbf x^TQmathbf x = (M^-1mathbf x')^T Q (M^-1mathbf x') = mathbf x'^T (M^-TQM^-1) mathbf x',$$ so the quadric transforms as $Q' = M^-TQM^-1$. In your case, $M=ST$, so when we transform the unit sphere $Q=I$, we get $$Q' = M^-TQM^-1 = (ST)^-T(ST)^-1.$$ The reciprocal square roots of the eigenvalues of this matrix then are the half-axis lengths of the resulting ellipsoid and the corresponding eigenvectors, chosen to form an orthogonal set in case of repeated eigenvalues, are its principal axes.




      † The fully-general quadric equation that includes linear terms and and arbitrary constant term can also be represented by a single $4times4$ matrix by using homogeneous coordinates. All of this applies to quadrics of any dimension.






      share|cite|improve this answer











      $endgroup$















        0












        0








        0





        $begingroup$

        The equation $Ax^2+By^2+Cz^2+Exy+Fxz+Gyz=1$ of a quadric surface can be expressed in matrix form as $$beginbmatrixx&y&zendbmatrix beginbmatrixA&frac E2&frac F2\frac E2&B&frac G2\frac F2&frac G2&Cendbmatrix beginbmatrixx\y\zendbmatrix = mathbf x^TQmathbf x = 1.$$ The symmetric matrix $Q$ can be said to represent the quadric.† In particular, the unit sphere is represented by the identity matrix.



        The principal axis theorem tells us that there’s an orthonormal basis of eigenvectors of $Q$ that gives the axes of this quadric and that the half-axis lengths are given by the reciprocal square roots of the (absolute values) of the corresponding eigenvalues: after a change of basis that’s an isometry because the basis is orthonormal, the equation of the quadric takes the form $lambda_1x'^2+lambda_2y'^2+lambda_3z'^2=1$.



        Given the invertible point transformation $mathbf x'=Mmathbf x$, we have $$mathbf x^TQmathbf x = (M^-1mathbf x')^T Q (M^-1mathbf x') = mathbf x'^T (M^-TQM^-1) mathbf x',$$ so the quadric transforms as $Q' = M^-TQM^-1$. In your case, $M=ST$, so when we transform the unit sphere $Q=I$, we get $$Q' = M^-TQM^-1 = (ST)^-T(ST)^-1.$$ The reciprocal square roots of the eigenvalues of this matrix then are the half-axis lengths of the resulting ellipsoid and the corresponding eigenvectors, chosen to form an orthogonal set in case of repeated eigenvalues, are its principal axes.




        † The fully-general quadric equation that includes linear terms and and arbitrary constant term can also be represented by a single $4times4$ matrix by using homogeneous coordinates. All of this applies to quadrics of any dimension.






        share|cite|improve this answer











        $endgroup$



        The equation $Ax^2+By^2+Cz^2+Exy+Fxz+Gyz=1$ of a quadric surface can be expressed in matrix form as $$beginbmatrixx&y&zendbmatrix beginbmatrixA&frac E2&frac F2\frac E2&B&frac G2\frac F2&frac G2&Cendbmatrix beginbmatrixx\y\zendbmatrix = mathbf x^TQmathbf x = 1.$$ The symmetric matrix $Q$ can be said to represent the quadric.† In particular, the unit sphere is represented by the identity matrix.



        The principal axis theorem tells us that there’s an orthonormal basis of eigenvectors of $Q$ that gives the axes of this quadric and that the half-axis lengths are given by the reciprocal square roots of the (absolute values) of the corresponding eigenvalues: after a change of basis that’s an isometry because the basis is orthonormal, the equation of the quadric takes the form $lambda_1x'^2+lambda_2y'^2+lambda_3z'^2=1$.



        Given the invertible point transformation $mathbf x'=Mmathbf x$, we have $$mathbf x^TQmathbf x = (M^-1mathbf x')^T Q (M^-1mathbf x') = mathbf x'^T (M^-TQM^-1) mathbf x',$$ so the quadric transforms as $Q' = M^-TQM^-1$. In your case, $M=ST$, so when we transform the unit sphere $Q=I$, we get $$Q' = M^-TQM^-1 = (ST)^-T(ST)^-1.$$ The reciprocal square roots of the eigenvalues of this matrix then are the half-axis lengths of the resulting ellipsoid and the corresponding eigenvectors, chosen to form an orthogonal set in case of repeated eigenvalues, are its principal axes.




        † The fully-general quadric equation that includes linear terms and and arbitrary constant term can also be represented by a single $4times4$ matrix by using homogeneous coordinates. All of this applies to quadrics of any dimension.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Mar 27 at 18:16

























        answered Mar 27 at 18:11









        amdamd

        31.6k21052




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