Find locus of points by finding eigenvalues

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6















Let $boldsymbolx=left(beginmatrixx\ yendmatrixright)$ be a vector in two-dimensional real space. By finding the eigenvalues and eigenvectors of $boldsymbolM$, sketch the locus of points $boldsymbolx$ that satisfy $$ boldsymbolx^TMx=4$$
given that
$$boldsymbolM=left(beginmatrix&5 &sqrt3\ &sqrt3 &3endmatrixright). $$




I found two eigenvalues to be $lambda_1 = 6$ and $lambda_2=2$, and the corresponding eigenvectors are
$$ boldsymbolv_1=left(beginmatrixsqrt3\ 1endmatrixright)quadtext and quad boldsymbolv_2=left(beginmatrix1\ -sqrt3endmatrixright)$$
(if I'm not mistaken :) ), but... what now? Frankly, I can't figure out how to make this helpful to find $boldsymbolx^TMx=4$.



Any hints?










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  • The eigenvalues are $5pmsqrt3$, not $6,2$ because $6+2ne5+5$
    – Shubham Johri
    Dec 17 at 10:44











  • @ShubhamJohri see the edited question. I wrongly typed one entry of $M$.
    – VanDerWarden
    Dec 17 at 10:45










  • Yes, now the eigenvalues and eigenvectors are fine
    – Shubham Johri
    Dec 17 at 10:47















6















Let $boldsymbolx=left(beginmatrixx\ yendmatrixright)$ be a vector in two-dimensional real space. By finding the eigenvalues and eigenvectors of $boldsymbolM$, sketch the locus of points $boldsymbolx$ that satisfy $$ boldsymbolx^TMx=4$$
given that
$$boldsymbolM=left(beginmatrix&5 &sqrt3\ &sqrt3 &3endmatrixright). $$




I found two eigenvalues to be $lambda_1 = 6$ and $lambda_2=2$, and the corresponding eigenvectors are
$$ boldsymbolv_1=left(beginmatrixsqrt3\ 1endmatrixright)quadtext and quad boldsymbolv_2=left(beginmatrix1\ -sqrt3endmatrixright)$$
(if I'm not mistaken :) ), but... what now? Frankly, I can't figure out how to make this helpful to find $boldsymbolx^TMx=4$.



Any hints?










share|cite|improve this question























  • The eigenvalues are $5pmsqrt3$, not $6,2$ because $6+2ne5+5$
    – Shubham Johri
    Dec 17 at 10:44











  • @ShubhamJohri see the edited question. I wrongly typed one entry of $M$.
    – VanDerWarden
    Dec 17 at 10:45










  • Yes, now the eigenvalues and eigenvectors are fine
    – Shubham Johri
    Dec 17 at 10:47













6












6








6


3






Let $boldsymbolx=left(beginmatrixx\ yendmatrixright)$ be a vector in two-dimensional real space. By finding the eigenvalues and eigenvectors of $boldsymbolM$, sketch the locus of points $boldsymbolx$ that satisfy $$ boldsymbolx^TMx=4$$
given that
$$boldsymbolM=left(beginmatrix&5 &sqrt3\ &sqrt3 &3endmatrixright). $$




I found two eigenvalues to be $lambda_1 = 6$ and $lambda_2=2$, and the corresponding eigenvectors are
$$ boldsymbolv_1=left(beginmatrixsqrt3\ 1endmatrixright)quadtext and quad boldsymbolv_2=left(beginmatrix1\ -sqrt3endmatrixright)$$
(if I'm not mistaken :) ), but... what now? Frankly, I can't figure out how to make this helpful to find $boldsymbolx^TMx=4$.



Any hints?










share|cite|improve this question
















Let $boldsymbolx=left(beginmatrixx\ yendmatrixright)$ be a vector in two-dimensional real space. By finding the eigenvalues and eigenvectors of $boldsymbolM$, sketch the locus of points $boldsymbolx$ that satisfy $$ boldsymbolx^TMx=4$$
given that
$$boldsymbolM=left(beginmatrix&5 &sqrt3\ &sqrt3 &3endmatrixright). $$




I found two eigenvalues to be $lambda_1 = 6$ and $lambda_2=2$, and the corresponding eigenvectors are
$$ boldsymbolv_1=left(beginmatrixsqrt3\ 1endmatrixright)quadtext and quad boldsymbolv_2=left(beginmatrix1\ -sqrt3endmatrixright)$$
(if I'm not mistaken :) ), but... what now? Frankly, I can't figure out how to make this helpful to find $boldsymbolx^TMx=4$.



Any hints?







linear-algebra vector-spaces eigenvalues-eigenvectors






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edited Dec 17 at 12:32









bubba

30k32986




30k32986










asked Dec 17 at 10:39









VanDerWarden

618729




618729











  • The eigenvalues are $5pmsqrt3$, not $6,2$ because $6+2ne5+5$
    – Shubham Johri
    Dec 17 at 10:44











  • @ShubhamJohri see the edited question. I wrongly typed one entry of $M$.
    – VanDerWarden
    Dec 17 at 10:45










  • Yes, now the eigenvalues and eigenvectors are fine
    – Shubham Johri
    Dec 17 at 10:47
















  • The eigenvalues are $5pmsqrt3$, not $6,2$ because $6+2ne5+5$
    – Shubham Johri
    Dec 17 at 10:44











  • @ShubhamJohri see the edited question. I wrongly typed one entry of $M$.
    – VanDerWarden
    Dec 17 at 10:45










  • Yes, now the eigenvalues and eigenvectors are fine
    – Shubham Johri
    Dec 17 at 10:47















The eigenvalues are $5pmsqrt3$, not $6,2$ because $6+2ne5+5$
– Shubham Johri
Dec 17 at 10:44





The eigenvalues are $5pmsqrt3$, not $6,2$ because $6+2ne5+5$
– Shubham Johri
Dec 17 at 10:44













@ShubhamJohri see the edited question. I wrongly typed one entry of $M$.
– VanDerWarden
Dec 17 at 10:45




@ShubhamJohri see the edited question. I wrongly typed one entry of $M$.
– VanDerWarden
Dec 17 at 10:45












Yes, now the eigenvalues and eigenvectors are fine
– Shubham Johri
Dec 17 at 10:47




Yes, now the eigenvalues and eigenvectors are fine
– Shubham Johri
Dec 17 at 10:47










2 Answers
2






active

oldest

votes


















6














The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.



$mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$



$implies6c_1^2+2c_2^2=1$






share|cite|improve this answer






























    7














    Some hints (as you requested):



    • What we're studying is a second degree equation in $x$ and $y$, so it's a conic section curve (ellipse, hyperbola, or parabola).


    • After we find the eigenvalues and eigenvectors, we can use them to diagonalize the matrix $mathbfM$.


    • The diagonalization process is really just a change of coordinate system, say from $(x,y)$ coordinates to $(u,v)$ coordinates


    • In $(u,v)$ coordinates, since we're now dealing with a diagonal matrix, the given equation takes the form $au^2 + bv^2 = 1$. This is a conic section curve whose geometry you probably understand.






    share|cite|improve this answer






















    • Not op but I got $3u^2+2v^2=8$. So do I just plot this elipse with axis being the two eigenvectors? And how long shoud $1$ unit be? Say for axis1 with $v_1$, should $1$ unit be normal 1 unit, normal 6 units (eigenvalue) or 1 unit should be $2$ normal units (length of $v1$). I think the last one is correct
      – Anvit
      Dec 17 at 11:11










    • @Anvit: Yes, the eigenvectors define the directions of the axes of symmetry of the conic. If $mathbf v$ is an eigenvector, then so is $kmathbf v$, for any $k ne 0$, so the eigenvectors can't tell you anything about scale.
      – bubba
      Dec 17 at 11:17











    • @bubba -- there's little or no mileage in appealing to downvoters to explain or justify their objections. It's best not to betray that you heed them atall.
      – AmbretteOrrisey
      Dec 17 at 11:35










    Your Answer





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    2 Answers
    2






    active

    oldest

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    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    6














    The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.



    $mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$



    $implies6c_1^2+2c_2^2=1$






    share|cite|improve this answer



























      6














      The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.



      $mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$



      $implies6c_1^2+2c_2^2=1$






      share|cite|improve this answer

























        6












        6








        6






        The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.



        $mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$



        $implies6c_1^2+2c_2^2=1$






        share|cite|improve this answer














        The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.



        $mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$



        $implies6c_1^2+2c_2^2=1$







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Dec 17 at 11:20

























        answered Dec 17 at 11:00









        Shubham Johri

        3,826716




        3,826716





















            7














            Some hints (as you requested):



            • What we're studying is a second degree equation in $x$ and $y$, so it's a conic section curve (ellipse, hyperbola, or parabola).


            • After we find the eigenvalues and eigenvectors, we can use them to diagonalize the matrix $mathbfM$.


            • The diagonalization process is really just a change of coordinate system, say from $(x,y)$ coordinates to $(u,v)$ coordinates


            • In $(u,v)$ coordinates, since we're now dealing with a diagonal matrix, the given equation takes the form $au^2 + bv^2 = 1$. This is a conic section curve whose geometry you probably understand.






            share|cite|improve this answer






















            • Not op but I got $3u^2+2v^2=8$. So do I just plot this elipse with axis being the two eigenvectors? And how long shoud $1$ unit be? Say for axis1 with $v_1$, should $1$ unit be normal 1 unit, normal 6 units (eigenvalue) or 1 unit should be $2$ normal units (length of $v1$). I think the last one is correct
              – Anvit
              Dec 17 at 11:11










            • @Anvit: Yes, the eigenvectors define the directions of the axes of symmetry of the conic. If $mathbf v$ is an eigenvector, then so is $kmathbf v$, for any $k ne 0$, so the eigenvectors can't tell you anything about scale.
              – bubba
              Dec 17 at 11:17











            • @bubba -- there's little or no mileage in appealing to downvoters to explain or justify their objections. It's best not to betray that you heed them atall.
              – AmbretteOrrisey
              Dec 17 at 11:35















            7














            Some hints (as you requested):



            • What we're studying is a second degree equation in $x$ and $y$, so it's a conic section curve (ellipse, hyperbola, or parabola).


            • After we find the eigenvalues and eigenvectors, we can use them to diagonalize the matrix $mathbfM$.


            • The diagonalization process is really just a change of coordinate system, say from $(x,y)$ coordinates to $(u,v)$ coordinates


            • In $(u,v)$ coordinates, since we're now dealing with a diagonal matrix, the given equation takes the form $au^2 + bv^2 = 1$. This is a conic section curve whose geometry you probably understand.






            share|cite|improve this answer






















            • Not op but I got $3u^2+2v^2=8$. So do I just plot this elipse with axis being the two eigenvectors? And how long shoud $1$ unit be? Say for axis1 with $v_1$, should $1$ unit be normal 1 unit, normal 6 units (eigenvalue) or 1 unit should be $2$ normal units (length of $v1$). I think the last one is correct
              – Anvit
              Dec 17 at 11:11










            • @Anvit: Yes, the eigenvectors define the directions of the axes of symmetry of the conic. If $mathbf v$ is an eigenvector, then so is $kmathbf v$, for any $k ne 0$, so the eigenvectors can't tell you anything about scale.
              – bubba
              Dec 17 at 11:17











            • @bubba -- there's little or no mileage in appealing to downvoters to explain or justify their objections. It's best not to betray that you heed them atall.
              – AmbretteOrrisey
              Dec 17 at 11:35













            7












            7








            7






            Some hints (as you requested):



            • What we're studying is a second degree equation in $x$ and $y$, so it's a conic section curve (ellipse, hyperbola, or parabola).


            • After we find the eigenvalues and eigenvectors, we can use them to diagonalize the matrix $mathbfM$.


            • The diagonalization process is really just a change of coordinate system, say from $(x,y)$ coordinates to $(u,v)$ coordinates


            • In $(u,v)$ coordinates, since we're now dealing with a diagonal matrix, the given equation takes the form $au^2 + bv^2 = 1$. This is a conic section curve whose geometry you probably understand.






            share|cite|improve this answer














            Some hints (as you requested):



            • What we're studying is a second degree equation in $x$ and $y$, so it's a conic section curve (ellipse, hyperbola, or parabola).


            • After we find the eigenvalues and eigenvectors, we can use them to diagonalize the matrix $mathbfM$.


            • The diagonalization process is really just a change of coordinate system, say from $(x,y)$ coordinates to $(u,v)$ coordinates


            • In $(u,v)$ coordinates, since we're now dealing with a diagonal matrix, the given equation takes the form $au^2 + bv^2 = 1$. This is a conic section curve whose geometry you probably understand.







            share|cite|improve this answer














            share|cite|improve this answer



            share|cite|improve this answer








            edited Dec 17 at 12:31

























            answered Dec 17 at 10:48









            bubba

            30k32986




            30k32986











            • Not op but I got $3u^2+2v^2=8$. So do I just plot this elipse with axis being the two eigenvectors? And how long shoud $1$ unit be? Say for axis1 with $v_1$, should $1$ unit be normal 1 unit, normal 6 units (eigenvalue) or 1 unit should be $2$ normal units (length of $v1$). I think the last one is correct
              – Anvit
              Dec 17 at 11:11










            • @Anvit: Yes, the eigenvectors define the directions of the axes of symmetry of the conic. If $mathbf v$ is an eigenvector, then so is $kmathbf v$, for any $k ne 0$, so the eigenvectors can't tell you anything about scale.
              – bubba
              Dec 17 at 11:17











            • @bubba -- there's little or no mileage in appealing to downvoters to explain or justify their objections. It's best not to betray that you heed them atall.
              – AmbretteOrrisey
              Dec 17 at 11:35
















            • Not op but I got $3u^2+2v^2=8$. So do I just plot this elipse with axis being the two eigenvectors? And how long shoud $1$ unit be? Say for axis1 with $v_1$, should $1$ unit be normal 1 unit, normal 6 units (eigenvalue) or 1 unit should be $2$ normal units (length of $v1$). I think the last one is correct
              – Anvit
              Dec 17 at 11:11










            • @Anvit: Yes, the eigenvectors define the directions of the axes of symmetry of the conic. If $mathbf v$ is an eigenvector, then so is $kmathbf v$, for any $k ne 0$, so the eigenvectors can't tell you anything about scale.
              – bubba
              Dec 17 at 11:17











            • @bubba -- there's little or no mileage in appealing to downvoters to explain or justify their objections. It's best not to betray that you heed them atall.
              – AmbretteOrrisey
              Dec 17 at 11:35















            Not op but I got $3u^2+2v^2=8$. So do I just plot this elipse with axis being the two eigenvectors? And how long shoud $1$ unit be? Say for axis1 with $v_1$, should $1$ unit be normal 1 unit, normal 6 units (eigenvalue) or 1 unit should be $2$ normal units (length of $v1$). I think the last one is correct
            – Anvit
            Dec 17 at 11:11




            Not op but I got $3u^2+2v^2=8$. So do I just plot this elipse with axis being the two eigenvectors? And how long shoud $1$ unit be? Say for axis1 with $v_1$, should $1$ unit be normal 1 unit, normal 6 units (eigenvalue) or 1 unit should be $2$ normal units (length of $v1$). I think the last one is correct
            – Anvit
            Dec 17 at 11:11












            @Anvit: Yes, the eigenvectors define the directions of the axes of symmetry of the conic. If $mathbf v$ is an eigenvector, then so is $kmathbf v$, for any $k ne 0$, so the eigenvectors can't tell you anything about scale.
            – bubba
            Dec 17 at 11:17





            @Anvit: Yes, the eigenvectors define the directions of the axes of symmetry of the conic. If $mathbf v$ is an eigenvector, then so is $kmathbf v$, for any $k ne 0$, so the eigenvectors can't tell you anything about scale.
            – bubba
            Dec 17 at 11:17













            @bubba -- there's little or no mileage in appealing to downvoters to explain or justify their objections. It's best not to betray that you heed them atall.
            – AmbretteOrrisey
            Dec 17 at 11:35




            @bubba -- there's little or no mileage in appealing to downvoters to explain or justify their objections. It's best not to betray that you heed them atall.
            – AmbretteOrrisey
            Dec 17 at 11:35

















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