Find locus of points by finding eigenvalues
Clash Royale CLAN TAG#URR8PPP
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
add a comment |
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
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
add a comment |
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
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
linear-algebra vector-spaces eigenvalues-eigenvectors
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
add a comment |
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
add a comment |
2 Answers
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The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.
$mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$
$implies6c_1^2+2c_2^2=1$
add a comment |
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.
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
add a comment |
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2 Answers
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2 Answers
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The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.
$mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$
$implies6c_1^2+2c_2^2=1$
add a comment |
The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.
$mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$
$implies6c_1^2+2c_2^2=1$
add a comment |
The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.
$mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$
$implies6c_1^2+2c_2^2=1$
The eigenvectors are orthogonal and span $Bbb R^2$. This means $mathbf v=beginbmatrixx\yendbmatrix=c_1mathbf x_1+c_2mathbf x_2$.
$mathbf v^TMmathbf v=(c_1mathbf x_1^T+c_2mathbf x_2^T)M(c_1mathbf x_1+c_2mathbf x_2)\=(c_1mathbf x_1^T+c_2mathbf x_2^T)(c_1lambda_1mathbf x_1+c_2lambda_2mathbf x_2)\=c_1^2lambda_1||mathbf x_1||^2+c_2^2lambda_2||mathbf x_2||^2\=24c_1^2+8c_2^2=4$
$implies6c_1^2+2c_2^2=1$
edited Dec 17 at 11:20
answered Dec 17 at 11:00
Shubham Johri
3,826716
3,826716
add a comment |
add a comment |
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.
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
add a comment |
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.
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
add a comment |
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.
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.
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
add a comment |
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
add a comment |
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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