The matrix representation of a reflection operator across the plane $x+2y+3z=0$
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Let $T:mathbb{R}^3rightarrow mathbb{R}^3$ be the reflection across the plane $x+2y+3z=0$, find the matrix of this linear operator $T$ in respect to the basis $B=left{v_1,v_2,v_3right}$, where we have:
$v_1=begin{bmatrix}1\ 1\ -1end{bmatrix}$ $v_2=begin{bmatrix}-1\ 2\ -1end{bmatrix}$ $v_3=begin{bmatrix}1\ 2\ 3end{bmatrix}$
First of what does it mean that $T$ is a reflection across the given plane? What will hapen to let's say the vector $(1,0,0)$ if it's passed through $T$? In my textbook, there was a short example that mentioned a reflection operator, which transformed a given vector $(a,b,c)$ to the vector $(a,b,-c)$ So that would be the reflection across the standard plane $x+y+z=0$, but here, will it act as if given a vector $(a,b,c)$ you get out a vector $(a,2b,-3c)$?
EDIT:
after reading the comments, I got the matrix representation as:
$T=begin{bmatrix}1&-1&-1\ 1&2&-2\ -1&-1&-3end{bmatrix}$
Now how can I find the representation of this operator in respect to the standard basis vectors $(e_1,e_2,e_3)$?
I read about finding the change of basis matrix so I calculated $T^{-1}$:
$T^{-1}=begin{bmatrix}frac{4}{7}&frac{1}{7}&-frac{2}{7}\ -frac{5}{14}&frac{2}{7}&-frac{1}{14}\ -frac{1}{14}&-frac{1}{7}&-frac{3}{14}end{bmatrix}$
Is this it or is there more to it?
linear-algebra geometry linear-transformations
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up vote
3
down vote
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Let $T:mathbb{R}^3rightarrow mathbb{R}^3$ be the reflection across the plane $x+2y+3z=0$, find the matrix of this linear operator $T$ in respect to the basis $B=left{v_1,v_2,v_3right}$, where we have:
$v_1=begin{bmatrix}1\ 1\ -1end{bmatrix}$ $v_2=begin{bmatrix}-1\ 2\ -1end{bmatrix}$ $v_3=begin{bmatrix}1\ 2\ 3end{bmatrix}$
First of what does it mean that $T$ is a reflection across the given plane? What will hapen to let's say the vector $(1,0,0)$ if it's passed through $T$? In my textbook, there was a short example that mentioned a reflection operator, which transformed a given vector $(a,b,c)$ to the vector $(a,b,-c)$ So that would be the reflection across the standard plane $x+y+z=0$, but here, will it act as if given a vector $(a,b,c)$ you get out a vector $(a,2b,-3c)$?
EDIT:
after reading the comments, I got the matrix representation as:
$T=begin{bmatrix}1&-1&-1\ 1&2&-2\ -1&-1&-3end{bmatrix}$
Now how can I find the representation of this operator in respect to the standard basis vectors $(e_1,e_2,e_3)$?
I read about finding the change of basis matrix so I calculated $T^{-1}$:
$T^{-1}=begin{bmatrix}frac{4}{7}&frac{1}{7}&-frac{2}{7}\ -frac{5}{14}&frac{2}{7}&-frac{1}{14}\ -frac{1}{14}&-frac{1}{7}&-frac{3}{14}end{bmatrix}$
Is this it or is there more to it?
linear-algebra geometry linear-transformations
The vectors in the plane will be preserved (multiplied by 1) and the vectors perpendicular to the plane will be mirrored (multiplied by -1). Maybe that can help.
– mathreadler
Feb 4 '17 at 11:13
@mathreadler so v1 will map into v1,v2 into v2 and v3 into -v3?
– adadaae12313412
Feb 4 '17 at 11:17
In general, there is a householder matrix that describes reflections of this type.
– Andres Mejia
Feb 4 '17 at 11:28
v1 map onto v1, v2 onto v2, v3 onto -v3
– mathreadler
Feb 4 '17 at 11:36
@mathreadler can you review mt question, I edited it
– adadaae12313412
Feb 4 '17 at 11:42
|
show 1 more comment
up vote
3
down vote
favorite
up vote
3
down vote
favorite
Let $T:mathbb{R}^3rightarrow mathbb{R}^3$ be the reflection across the plane $x+2y+3z=0$, find the matrix of this linear operator $T$ in respect to the basis $B=left{v_1,v_2,v_3right}$, where we have:
$v_1=begin{bmatrix}1\ 1\ -1end{bmatrix}$ $v_2=begin{bmatrix}-1\ 2\ -1end{bmatrix}$ $v_3=begin{bmatrix}1\ 2\ 3end{bmatrix}$
First of what does it mean that $T$ is a reflection across the given plane? What will hapen to let's say the vector $(1,0,0)$ if it's passed through $T$? In my textbook, there was a short example that mentioned a reflection operator, which transformed a given vector $(a,b,c)$ to the vector $(a,b,-c)$ So that would be the reflection across the standard plane $x+y+z=0$, but here, will it act as if given a vector $(a,b,c)$ you get out a vector $(a,2b,-3c)$?
EDIT:
after reading the comments, I got the matrix representation as:
$T=begin{bmatrix}1&-1&-1\ 1&2&-2\ -1&-1&-3end{bmatrix}$
Now how can I find the representation of this operator in respect to the standard basis vectors $(e_1,e_2,e_3)$?
I read about finding the change of basis matrix so I calculated $T^{-1}$:
$T^{-1}=begin{bmatrix}frac{4}{7}&frac{1}{7}&-frac{2}{7}\ -frac{5}{14}&frac{2}{7}&-frac{1}{14}\ -frac{1}{14}&-frac{1}{7}&-frac{3}{14}end{bmatrix}$
Is this it or is there more to it?
linear-algebra geometry linear-transformations
Let $T:mathbb{R}^3rightarrow mathbb{R}^3$ be the reflection across the plane $x+2y+3z=0$, find the matrix of this linear operator $T$ in respect to the basis $B=left{v_1,v_2,v_3right}$, where we have:
$v_1=begin{bmatrix}1\ 1\ -1end{bmatrix}$ $v_2=begin{bmatrix}-1\ 2\ -1end{bmatrix}$ $v_3=begin{bmatrix}1\ 2\ 3end{bmatrix}$
First of what does it mean that $T$ is a reflection across the given plane? What will hapen to let's say the vector $(1,0,0)$ if it's passed through $T$? In my textbook, there was a short example that mentioned a reflection operator, which transformed a given vector $(a,b,c)$ to the vector $(a,b,-c)$ So that would be the reflection across the standard plane $x+y+z=0$, but here, will it act as if given a vector $(a,b,c)$ you get out a vector $(a,2b,-3c)$?
EDIT:
after reading the comments, I got the matrix representation as:
$T=begin{bmatrix}1&-1&-1\ 1&2&-2\ -1&-1&-3end{bmatrix}$
Now how can I find the representation of this operator in respect to the standard basis vectors $(e_1,e_2,e_3)$?
I read about finding the change of basis matrix so I calculated $T^{-1}$:
$T^{-1}=begin{bmatrix}frac{4}{7}&frac{1}{7}&-frac{2}{7}\ -frac{5}{14}&frac{2}{7}&-frac{1}{14}\ -frac{1}{14}&-frac{1}{7}&-frac{3}{14}end{bmatrix}$
Is this it or is there more to it?
linear-algebra geometry linear-transformations
linear-algebra geometry linear-transformations
edited Feb 4 '17 at 11:41
asked Feb 4 '17 at 11:10
adadaae12313412
1809
1809
The vectors in the plane will be preserved (multiplied by 1) and the vectors perpendicular to the plane will be mirrored (multiplied by -1). Maybe that can help.
– mathreadler
Feb 4 '17 at 11:13
@mathreadler so v1 will map into v1,v2 into v2 and v3 into -v3?
– adadaae12313412
Feb 4 '17 at 11:17
In general, there is a householder matrix that describes reflections of this type.
– Andres Mejia
Feb 4 '17 at 11:28
v1 map onto v1, v2 onto v2, v3 onto -v3
– mathreadler
Feb 4 '17 at 11:36
@mathreadler can you review mt question, I edited it
– adadaae12313412
Feb 4 '17 at 11:42
|
show 1 more comment
The vectors in the plane will be preserved (multiplied by 1) and the vectors perpendicular to the plane will be mirrored (multiplied by -1). Maybe that can help.
– mathreadler
Feb 4 '17 at 11:13
@mathreadler so v1 will map into v1,v2 into v2 and v3 into -v3?
– adadaae12313412
Feb 4 '17 at 11:17
In general, there is a householder matrix that describes reflections of this type.
– Andres Mejia
Feb 4 '17 at 11:28
v1 map onto v1, v2 onto v2, v3 onto -v3
– mathreadler
Feb 4 '17 at 11:36
@mathreadler can you review mt question, I edited it
– adadaae12313412
Feb 4 '17 at 11:42
The vectors in the plane will be preserved (multiplied by 1) and the vectors perpendicular to the plane will be mirrored (multiplied by -1). Maybe that can help.
– mathreadler
Feb 4 '17 at 11:13
The vectors in the plane will be preserved (multiplied by 1) and the vectors perpendicular to the plane will be mirrored (multiplied by -1). Maybe that can help.
– mathreadler
Feb 4 '17 at 11:13
@mathreadler so v1 will map into v1,v2 into v2 and v3 into -v3?
– adadaae12313412
Feb 4 '17 at 11:17
@mathreadler so v1 will map into v1,v2 into v2 and v3 into -v3?
– adadaae12313412
Feb 4 '17 at 11:17
In general, there is a householder matrix that describes reflections of this type.
– Andres Mejia
Feb 4 '17 at 11:28
In general, there is a householder matrix that describes reflections of this type.
– Andres Mejia
Feb 4 '17 at 11:28
v1 map onto v1, v2 onto v2, v3 onto -v3
– mathreadler
Feb 4 '17 at 11:36
v1 map onto v1, v2 onto v2, v3 onto -v3
– mathreadler
Feb 4 '17 at 11:36
@mathreadler can you review mt question, I edited it
– adadaae12313412
Feb 4 '17 at 11:42
@mathreadler can you review mt question, I edited it
– adadaae12313412
Feb 4 '17 at 11:42
|
show 1 more comment
4 Answers
4
active
oldest
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up vote
2
down vote
accepted
The person who prepared you this question has made life very easy for you. Verify following facts:
- $v_1 in $ the plane (its coordinates verify the equation of the plane)
- $v_2$ also lies in this plane.
- $v_3 perp v_1$ (calculate the dot product)
- $v_3 perp v_2$
So the reflection maps: $begin{cases}
v_1 mapsto v_1 \ v_2 mapsto v_2 \ v_3 mapsto -v_3 end{cases}$
And the matrix w.r.t. this basis is $begin{pmatrix} 1 & 0 & 0\ 0 & 1 & 0 \ 0& 0& -1end{pmatrix}$
add a comment |
up vote
2
down vote
There is more to it. You can find a canonical basis (make an eigenvalue decomposition)
$${bf T = S}^{-1}{bf DS}$$
where $${bf D} = begin{bmatrix}1&0&0\0&1&0\0&0&-1end{bmatrix}$$
and the two leftmost columns of $bf S$ are in the plane, and the rightmost is perpendicular to it. The eigenvalues $1$ means "preserve" vector, which is what happen to the components which lie in the plane. -1 means to flip the direction 180 degrees which is what should happen to the part of the vectors pointing right out of the plane.
In other words, if we
- write the vector to be as a linear combination of two vectors in the plane and one perpendicular to it.
- we can just flip the one perpendicular (multiply with -1)
- reassemble our vector.
That is basically what multiplying with ${bf S}^{-1}bf DS$ would mean step-by-step.
Okay, but can you answer this to me? After finding the matrice $T^{-1}$, we can find the matrice representation in respect to the standard basis by calculating $A=TET^{-1}$, where $E$ is the matrice made up of the vectors e1,e2,e3?
– adadaae12313412
Feb 4 '17 at 11:58
if $T$ is defined as you do, it will be like a $S^{-1}$ in my presentation and $E$ will be a diagonal matrix like $bf D$.
– mathreadler
Feb 4 '17 at 12:06
add a comment |
up vote
1
down vote
As noted above, vectors $v_1,v_2 in p$ (plane),and $v_3$ is $perp$ to $v_1,v_2$.
Since $v_1,v_2$ are in the plane their reflectection will be the same vector $v_1,v_2$ and since $v_3$ is the normal vector for this plane it's reflection will be the same vector just in the opposite direction ( $-v_3$).
So your reflection matrix in the base $B={v_1,v_2,v_3}$ will look like this:
$R=begin{bmatrix}
1 & 0 & 0\
0 & 1 & 0\
0 & 0 & -1
end{bmatrix}_B$
To get the matrix representation in the standard base you can use the change of basis matrix $T$.
Notice that $T^{-1}$ is the matrix which will change $B_{std} rightarrow B$ and $T$ will change $Brightarrow B_{std}$.
The matrices will look like this:
$T^{-1}=begin{bmatrix}
frac{4}{7}& frac{1}{7} & frac{-2}{7}\
& & &\
frac{-5}{14} & frac{2}{7} & frac{-1}{14}\
& & &\
frac{1}{14} & frac{1}{7} & frac{3}{14}
end{bmatrix}
, T=begin{bmatrix}
1 & -1 & 1\
1 & 2 & 2 \
-1 & -1 & 3
end{bmatrix}$
And finally $R'=TRT^{-1}=begin{bmatrix}
frac{6}{7} & frac{-2}{7} & frac{-3}{7}\
&&&\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
&&&\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$
add a comment |
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0
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Let us call the plane normal as vector $vec n=(1,2,3)$ and let the incident vector be $vec r=(x,y,z)$ and the reflected vector be $vec r'=(x',y',z')$. When the vector $vec r$ is reflected upon the plane, its projection on the plane remains unchanged and only its normal component with respect to the plane will be reversed to become the reflected vector $vec r'$.
The normal component of $vec r$ with respect to the plane is:
$$vec r_n=frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
And the projection of $vec r$ on the plane is:
$$vec r_p=vec r-vec r_n$$
So the reflected vector is:
$$vec r'=-vec r_n+vec r_p$$
or:
$$vec r'=-vec r_n+vec r-vec r_n$$
or
$$vec r'=vec r-2vec r_n$$
or
$$vec r'=vec r-2frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
If we substitute the numerical value of the plane normal we get:
$$vec r'=vec r-2frac{x+2y+3z}{14}(1,2,3)$$
or
$$left{begin{array}{c}x'=x-frac{x+2y+3z}{7}\y'=y-2frac{x+2y+3z}{7}\z'=z-3frac{x+2y+3z}{7}end{array}right.$$
or
$$left{begin{array}{c}x'=frac{6x-2y-3z}{7}\y'=frac{-2x+3y-6z}{7}\z'=frac{-3x-6y-2z}{7}end{array}right.$$
So the matrix reperesentation is:
$$R=begin{bmatrix}
frac{6}{7}& frac{-2}{7} & frac{-3}{7}\
& & &\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
& & &\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$$
add a comment |
4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
The person who prepared you this question has made life very easy for you. Verify following facts:
- $v_1 in $ the plane (its coordinates verify the equation of the plane)
- $v_2$ also lies in this plane.
- $v_3 perp v_1$ (calculate the dot product)
- $v_3 perp v_2$
So the reflection maps: $begin{cases}
v_1 mapsto v_1 \ v_2 mapsto v_2 \ v_3 mapsto -v_3 end{cases}$
And the matrix w.r.t. this basis is $begin{pmatrix} 1 & 0 & 0\ 0 & 1 & 0 \ 0& 0& -1end{pmatrix}$
add a comment |
up vote
2
down vote
accepted
The person who prepared you this question has made life very easy for you. Verify following facts:
- $v_1 in $ the plane (its coordinates verify the equation of the plane)
- $v_2$ also lies in this plane.
- $v_3 perp v_1$ (calculate the dot product)
- $v_3 perp v_2$
So the reflection maps: $begin{cases}
v_1 mapsto v_1 \ v_2 mapsto v_2 \ v_3 mapsto -v_3 end{cases}$
And the matrix w.r.t. this basis is $begin{pmatrix} 1 & 0 & 0\ 0 & 1 & 0 \ 0& 0& -1end{pmatrix}$
add a comment |
up vote
2
down vote
accepted
up vote
2
down vote
accepted
The person who prepared you this question has made life very easy for you. Verify following facts:
- $v_1 in $ the plane (its coordinates verify the equation of the plane)
- $v_2$ also lies in this plane.
- $v_3 perp v_1$ (calculate the dot product)
- $v_3 perp v_2$
So the reflection maps: $begin{cases}
v_1 mapsto v_1 \ v_2 mapsto v_2 \ v_3 mapsto -v_3 end{cases}$
And the matrix w.r.t. this basis is $begin{pmatrix} 1 & 0 & 0\ 0 & 1 & 0 \ 0& 0& -1end{pmatrix}$
The person who prepared you this question has made life very easy for you. Verify following facts:
- $v_1 in $ the plane (its coordinates verify the equation of the plane)
- $v_2$ also lies in this plane.
- $v_3 perp v_1$ (calculate the dot product)
- $v_3 perp v_2$
So the reflection maps: $begin{cases}
v_1 mapsto v_1 \ v_2 mapsto v_2 \ v_3 mapsto -v_3 end{cases}$
And the matrix w.r.t. this basis is $begin{pmatrix} 1 & 0 & 0\ 0 & 1 & 0 \ 0& 0& -1end{pmatrix}$
answered Feb 6 '17 at 17:17
Marc Bogaerts
4,0581821
4,0581821
add a comment |
add a comment |
up vote
2
down vote
There is more to it. You can find a canonical basis (make an eigenvalue decomposition)
$${bf T = S}^{-1}{bf DS}$$
where $${bf D} = begin{bmatrix}1&0&0\0&1&0\0&0&-1end{bmatrix}$$
and the two leftmost columns of $bf S$ are in the plane, and the rightmost is perpendicular to it. The eigenvalues $1$ means "preserve" vector, which is what happen to the components which lie in the plane. -1 means to flip the direction 180 degrees which is what should happen to the part of the vectors pointing right out of the plane.
In other words, if we
- write the vector to be as a linear combination of two vectors in the plane and one perpendicular to it.
- we can just flip the one perpendicular (multiply with -1)
- reassemble our vector.
That is basically what multiplying with ${bf S}^{-1}bf DS$ would mean step-by-step.
Okay, but can you answer this to me? After finding the matrice $T^{-1}$, we can find the matrice representation in respect to the standard basis by calculating $A=TET^{-1}$, where $E$ is the matrice made up of the vectors e1,e2,e3?
– adadaae12313412
Feb 4 '17 at 11:58
if $T$ is defined as you do, it will be like a $S^{-1}$ in my presentation and $E$ will be a diagonal matrix like $bf D$.
– mathreadler
Feb 4 '17 at 12:06
add a comment |
up vote
2
down vote
There is more to it. You can find a canonical basis (make an eigenvalue decomposition)
$${bf T = S}^{-1}{bf DS}$$
where $${bf D} = begin{bmatrix}1&0&0\0&1&0\0&0&-1end{bmatrix}$$
and the two leftmost columns of $bf S$ are in the plane, and the rightmost is perpendicular to it. The eigenvalues $1$ means "preserve" vector, which is what happen to the components which lie in the plane. -1 means to flip the direction 180 degrees which is what should happen to the part of the vectors pointing right out of the plane.
In other words, if we
- write the vector to be as a linear combination of two vectors in the plane and one perpendicular to it.
- we can just flip the one perpendicular (multiply with -1)
- reassemble our vector.
That is basically what multiplying with ${bf S}^{-1}bf DS$ would mean step-by-step.
Okay, but can you answer this to me? After finding the matrice $T^{-1}$, we can find the matrice representation in respect to the standard basis by calculating $A=TET^{-1}$, where $E$ is the matrice made up of the vectors e1,e2,e3?
– adadaae12313412
Feb 4 '17 at 11:58
if $T$ is defined as you do, it will be like a $S^{-1}$ in my presentation and $E$ will be a diagonal matrix like $bf D$.
– mathreadler
Feb 4 '17 at 12:06
add a comment |
up vote
2
down vote
up vote
2
down vote
There is more to it. You can find a canonical basis (make an eigenvalue decomposition)
$${bf T = S}^{-1}{bf DS}$$
where $${bf D} = begin{bmatrix}1&0&0\0&1&0\0&0&-1end{bmatrix}$$
and the two leftmost columns of $bf S$ are in the plane, and the rightmost is perpendicular to it. The eigenvalues $1$ means "preserve" vector, which is what happen to the components which lie in the plane. -1 means to flip the direction 180 degrees which is what should happen to the part of the vectors pointing right out of the plane.
In other words, if we
- write the vector to be as a linear combination of two vectors in the plane and one perpendicular to it.
- we can just flip the one perpendicular (multiply with -1)
- reassemble our vector.
That is basically what multiplying with ${bf S}^{-1}bf DS$ would mean step-by-step.
There is more to it. You can find a canonical basis (make an eigenvalue decomposition)
$${bf T = S}^{-1}{bf DS}$$
where $${bf D} = begin{bmatrix}1&0&0\0&1&0\0&0&-1end{bmatrix}$$
and the two leftmost columns of $bf S$ are in the plane, and the rightmost is perpendicular to it. The eigenvalues $1$ means "preserve" vector, which is what happen to the components which lie in the plane. -1 means to flip the direction 180 degrees which is what should happen to the part of the vectors pointing right out of the plane.
In other words, if we
- write the vector to be as a linear combination of two vectors in the plane and one perpendicular to it.
- we can just flip the one perpendicular (multiply with -1)
- reassemble our vector.
That is basically what multiplying with ${bf S}^{-1}bf DS$ would mean step-by-step.
edited Feb 4 '17 at 11:57
answered Feb 4 '17 at 11:48
mathreadler
14.7k72160
14.7k72160
Okay, but can you answer this to me? After finding the matrice $T^{-1}$, we can find the matrice representation in respect to the standard basis by calculating $A=TET^{-1}$, where $E$ is the matrice made up of the vectors e1,e2,e3?
– adadaae12313412
Feb 4 '17 at 11:58
if $T$ is defined as you do, it will be like a $S^{-1}$ in my presentation and $E$ will be a diagonal matrix like $bf D$.
– mathreadler
Feb 4 '17 at 12:06
add a comment |
Okay, but can you answer this to me? After finding the matrice $T^{-1}$, we can find the matrice representation in respect to the standard basis by calculating $A=TET^{-1}$, where $E$ is the matrice made up of the vectors e1,e2,e3?
– adadaae12313412
Feb 4 '17 at 11:58
if $T$ is defined as you do, it will be like a $S^{-1}$ in my presentation and $E$ will be a diagonal matrix like $bf D$.
– mathreadler
Feb 4 '17 at 12:06
Okay, but can you answer this to me? After finding the matrice $T^{-1}$, we can find the matrice representation in respect to the standard basis by calculating $A=TET^{-1}$, where $E$ is the matrice made up of the vectors e1,e2,e3?
– adadaae12313412
Feb 4 '17 at 11:58
Okay, but can you answer this to me? After finding the matrice $T^{-1}$, we can find the matrice representation in respect to the standard basis by calculating $A=TET^{-1}$, where $E$ is the matrice made up of the vectors e1,e2,e3?
– adadaae12313412
Feb 4 '17 at 11:58
if $T$ is defined as you do, it will be like a $S^{-1}$ in my presentation and $E$ will be a diagonal matrix like $bf D$.
– mathreadler
Feb 4 '17 at 12:06
if $T$ is defined as you do, it will be like a $S^{-1}$ in my presentation and $E$ will be a diagonal matrix like $bf D$.
– mathreadler
Feb 4 '17 at 12:06
add a comment |
up vote
1
down vote
As noted above, vectors $v_1,v_2 in p$ (plane),and $v_3$ is $perp$ to $v_1,v_2$.
Since $v_1,v_2$ are in the plane their reflectection will be the same vector $v_1,v_2$ and since $v_3$ is the normal vector for this plane it's reflection will be the same vector just in the opposite direction ( $-v_3$).
So your reflection matrix in the base $B={v_1,v_2,v_3}$ will look like this:
$R=begin{bmatrix}
1 & 0 & 0\
0 & 1 & 0\
0 & 0 & -1
end{bmatrix}_B$
To get the matrix representation in the standard base you can use the change of basis matrix $T$.
Notice that $T^{-1}$ is the matrix which will change $B_{std} rightarrow B$ and $T$ will change $Brightarrow B_{std}$.
The matrices will look like this:
$T^{-1}=begin{bmatrix}
frac{4}{7}& frac{1}{7} & frac{-2}{7}\
& & &\
frac{-5}{14} & frac{2}{7} & frac{-1}{14}\
& & &\
frac{1}{14} & frac{1}{7} & frac{3}{14}
end{bmatrix}
, T=begin{bmatrix}
1 & -1 & 1\
1 & 2 & 2 \
-1 & -1 & 3
end{bmatrix}$
And finally $R'=TRT^{-1}=begin{bmatrix}
frac{6}{7} & frac{-2}{7} & frac{-3}{7}\
&&&\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
&&&\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$
add a comment |
up vote
1
down vote
As noted above, vectors $v_1,v_2 in p$ (plane),and $v_3$ is $perp$ to $v_1,v_2$.
Since $v_1,v_2$ are in the plane their reflectection will be the same vector $v_1,v_2$ and since $v_3$ is the normal vector for this plane it's reflection will be the same vector just in the opposite direction ( $-v_3$).
So your reflection matrix in the base $B={v_1,v_2,v_3}$ will look like this:
$R=begin{bmatrix}
1 & 0 & 0\
0 & 1 & 0\
0 & 0 & -1
end{bmatrix}_B$
To get the matrix representation in the standard base you can use the change of basis matrix $T$.
Notice that $T^{-1}$ is the matrix which will change $B_{std} rightarrow B$ and $T$ will change $Brightarrow B_{std}$.
The matrices will look like this:
$T^{-1}=begin{bmatrix}
frac{4}{7}& frac{1}{7} & frac{-2}{7}\
& & &\
frac{-5}{14} & frac{2}{7} & frac{-1}{14}\
& & &\
frac{1}{14} & frac{1}{7} & frac{3}{14}
end{bmatrix}
, T=begin{bmatrix}
1 & -1 & 1\
1 & 2 & 2 \
-1 & -1 & 3
end{bmatrix}$
And finally $R'=TRT^{-1}=begin{bmatrix}
frac{6}{7} & frac{-2}{7} & frac{-3}{7}\
&&&\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
&&&\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$
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1
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As noted above, vectors $v_1,v_2 in p$ (plane),and $v_3$ is $perp$ to $v_1,v_2$.
Since $v_1,v_2$ are in the plane their reflectection will be the same vector $v_1,v_2$ and since $v_3$ is the normal vector for this plane it's reflection will be the same vector just in the opposite direction ( $-v_3$).
So your reflection matrix in the base $B={v_1,v_2,v_3}$ will look like this:
$R=begin{bmatrix}
1 & 0 & 0\
0 & 1 & 0\
0 & 0 & -1
end{bmatrix}_B$
To get the matrix representation in the standard base you can use the change of basis matrix $T$.
Notice that $T^{-1}$ is the matrix which will change $B_{std} rightarrow B$ and $T$ will change $Brightarrow B_{std}$.
The matrices will look like this:
$T^{-1}=begin{bmatrix}
frac{4}{7}& frac{1}{7} & frac{-2}{7}\
& & &\
frac{-5}{14} & frac{2}{7} & frac{-1}{14}\
& & &\
frac{1}{14} & frac{1}{7} & frac{3}{14}
end{bmatrix}
, T=begin{bmatrix}
1 & -1 & 1\
1 & 2 & 2 \
-1 & -1 & 3
end{bmatrix}$
And finally $R'=TRT^{-1}=begin{bmatrix}
frac{6}{7} & frac{-2}{7} & frac{-3}{7}\
&&&\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
&&&\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$
As noted above, vectors $v_1,v_2 in p$ (plane),and $v_3$ is $perp$ to $v_1,v_2$.
Since $v_1,v_2$ are in the plane their reflectection will be the same vector $v_1,v_2$ and since $v_3$ is the normal vector for this plane it's reflection will be the same vector just in the opposite direction ( $-v_3$).
So your reflection matrix in the base $B={v_1,v_2,v_3}$ will look like this:
$R=begin{bmatrix}
1 & 0 & 0\
0 & 1 & 0\
0 & 0 & -1
end{bmatrix}_B$
To get the matrix representation in the standard base you can use the change of basis matrix $T$.
Notice that $T^{-1}$ is the matrix which will change $B_{std} rightarrow B$ and $T$ will change $Brightarrow B_{std}$.
The matrices will look like this:
$T^{-1}=begin{bmatrix}
frac{4}{7}& frac{1}{7} & frac{-2}{7}\
& & &\
frac{-5}{14} & frac{2}{7} & frac{-1}{14}\
& & &\
frac{1}{14} & frac{1}{7} & frac{3}{14}
end{bmatrix}
, T=begin{bmatrix}
1 & -1 & 1\
1 & 2 & 2 \
-1 & -1 & 3
end{bmatrix}$
And finally $R'=TRT^{-1}=begin{bmatrix}
frac{6}{7} & frac{-2}{7} & frac{-3}{7}\
&&&\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
&&&\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$
answered Jun 9 '17 at 18:15
Dragan Zrilić
35718
35718
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0
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Let us call the plane normal as vector $vec n=(1,2,3)$ and let the incident vector be $vec r=(x,y,z)$ and the reflected vector be $vec r'=(x',y',z')$. When the vector $vec r$ is reflected upon the plane, its projection on the plane remains unchanged and only its normal component with respect to the plane will be reversed to become the reflected vector $vec r'$.
The normal component of $vec r$ with respect to the plane is:
$$vec r_n=frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
And the projection of $vec r$ on the plane is:
$$vec r_p=vec r-vec r_n$$
So the reflected vector is:
$$vec r'=-vec r_n+vec r_p$$
or:
$$vec r'=-vec r_n+vec r-vec r_n$$
or
$$vec r'=vec r-2vec r_n$$
or
$$vec r'=vec r-2frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
If we substitute the numerical value of the plane normal we get:
$$vec r'=vec r-2frac{x+2y+3z}{14}(1,2,3)$$
or
$$left{begin{array}{c}x'=x-frac{x+2y+3z}{7}\y'=y-2frac{x+2y+3z}{7}\z'=z-3frac{x+2y+3z}{7}end{array}right.$$
or
$$left{begin{array}{c}x'=frac{6x-2y-3z}{7}\y'=frac{-2x+3y-6z}{7}\z'=frac{-3x-6y-2z}{7}end{array}right.$$
So the matrix reperesentation is:
$$R=begin{bmatrix}
frac{6}{7}& frac{-2}{7} & frac{-3}{7}\
& & &\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
& & &\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$$
add a comment |
up vote
0
down vote
Let us call the plane normal as vector $vec n=(1,2,3)$ and let the incident vector be $vec r=(x,y,z)$ and the reflected vector be $vec r'=(x',y',z')$. When the vector $vec r$ is reflected upon the plane, its projection on the plane remains unchanged and only its normal component with respect to the plane will be reversed to become the reflected vector $vec r'$.
The normal component of $vec r$ with respect to the plane is:
$$vec r_n=frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
And the projection of $vec r$ on the plane is:
$$vec r_p=vec r-vec r_n$$
So the reflected vector is:
$$vec r'=-vec r_n+vec r_p$$
or:
$$vec r'=-vec r_n+vec r-vec r_n$$
or
$$vec r'=vec r-2vec r_n$$
or
$$vec r'=vec r-2frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
If we substitute the numerical value of the plane normal we get:
$$vec r'=vec r-2frac{x+2y+3z}{14}(1,2,3)$$
or
$$left{begin{array}{c}x'=x-frac{x+2y+3z}{7}\y'=y-2frac{x+2y+3z}{7}\z'=z-3frac{x+2y+3z}{7}end{array}right.$$
or
$$left{begin{array}{c}x'=frac{6x-2y-3z}{7}\y'=frac{-2x+3y-6z}{7}\z'=frac{-3x-6y-2z}{7}end{array}right.$$
So the matrix reperesentation is:
$$R=begin{bmatrix}
frac{6}{7}& frac{-2}{7} & frac{-3}{7}\
& & &\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
& & &\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$$
add a comment |
up vote
0
down vote
up vote
0
down vote
Let us call the plane normal as vector $vec n=(1,2,3)$ and let the incident vector be $vec r=(x,y,z)$ and the reflected vector be $vec r'=(x',y',z')$. When the vector $vec r$ is reflected upon the plane, its projection on the plane remains unchanged and only its normal component with respect to the plane will be reversed to become the reflected vector $vec r'$.
The normal component of $vec r$ with respect to the plane is:
$$vec r_n=frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
And the projection of $vec r$ on the plane is:
$$vec r_p=vec r-vec r_n$$
So the reflected vector is:
$$vec r'=-vec r_n+vec r_p$$
or:
$$vec r'=-vec r_n+vec r-vec r_n$$
or
$$vec r'=vec r-2vec r_n$$
or
$$vec r'=vec r-2frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
If we substitute the numerical value of the plane normal we get:
$$vec r'=vec r-2frac{x+2y+3z}{14}(1,2,3)$$
or
$$left{begin{array}{c}x'=x-frac{x+2y+3z}{7}\y'=y-2frac{x+2y+3z}{7}\z'=z-3frac{x+2y+3z}{7}end{array}right.$$
or
$$left{begin{array}{c}x'=frac{6x-2y-3z}{7}\y'=frac{-2x+3y-6z}{7}\z'=frac{-3x-6y-2z}{7}end{array}right.$$
So the matrix reperesentation is:
$$R=begin{bmatrix}
frac{6}{7}& frac{-2}{7} & frac{-3}{7}\
& & &\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
& & &\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$$
Let us call the plane normal as vector $vec n=(1,2,3)$ and let the incident vector be $vec r=(x,y,z)$ and the reflected vector be $vec r'=(x',y',z')$. When the vector $vec r$ is reflected upon the plane, its projection on the plane remains unchanged and only its normal component with respect to the plane will be reversed to become the reflected vector $vec r'$.
The normal component of $vec r$ with respect to the plane is:
$$vec r_n=frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
And the projection of $vec r$ on the plane is:
$$vec r_p=vec r-vec r_n$$
So the reflected vector is:
$$vec r'=-vec r_n+vec r_p$$
or:
$$vec r'=-vec r_n+vec r-vec r_n$$
or
$$vec r'=vec r-2vec r_n$$
or
$$vec r'=vec r-2frac{vec rbulletvec n}{vec nbullet vec n}vec n$$
If we substitute the numerical value of the plane normal we get:
$$vec r'=vec r-2frac{x+2y+3z}{14}(1,2,3)$$
or
$$left{begin{array}{c}x'=x-frac{x+2y+3z}{7}\y'=y-2frac{x+2y+3z}{7}\z'=z-3frac{x+2y+3z}{7}end{array}right.$$
or
$$left{begin{array}{c}x'=frac{6x-2y-3z}{7}\y'=frac{-2x+3y-6z}{7}\z'=frac{-3x-6y-2z}{7}end{array}right.$$
So the matrix reperesentation is:
$$R=begin{bmatrix}
frac{6}{7}& frac{-2}{7} & frac{-3}{7}\
& & &\
frac{-2}{7} & frac{3}{7} & frac{-6}{7}\
& & &\
frac{-3}{7} & frac{-6}{7} & frac{-2}{7}
end{bmatrix}$$
answered Nov 22 at 2:43
Arash Rashidi
538
538
add a comment |
add a comment |
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The vectors in the plane will be preserved (multiplied by 1) and the vectors perpendicular to the plane will be mirrored (multiplied by -1). Maybe that can help.
– mathreadler
Feb 4 '17 at 11:13
@mathreadler so v1 will map into v1,v2 into v2 and v3 into -v3?
– adadaae12313412
Feb 4 '17 at 11:17
In general, there is a householder matrix that describes reflections of this type.
– Andres Mejia
Feb 4 '17 at 11:28
v1 map onto v1, v2 onto v2, v3 onto -v3
– mathreadler
Feb 4 '17 at 11:36
@mathreadler can you review mt question, I edited it
– adadaae12313412
Feb 4 '17 at 11:42