Constructing an orthogonal projection matrix onto a line in $mathbbR^2$
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How would one go about constructing an orthogonal projection matrix onto a line in $mathbbR^2$ that contains the unit vector $(u_1, u_2)$? Is Gram-Schmidt necessary to do this?
linear-algebra matrices orthogonality projection-matrices
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How would one go about constructing an orthogonal projection matrix onto a line in $mathbbR^2$ that contains the unit vector $(u_1, u_2)$? Is Gram-Schmidt necessary to do this?
linear-algebra matrices orthogonality projection-matrices
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up vote
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down vote
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up vote
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down vote
favorite
How would one go about constructing an orthogonal projection matrix onto a line in $mathbbR^2$ that contains the unit vector $(u_1, u_2)$? Is Gram-Schmidt necessary to do this?
linear-algebra matrices orthogonality projection-matrices
How would one go about constructing an orthogonal projection matrix onto a line in $mathbbR^2$ that contains the unit vector $(u_1, u_2)$? Is Gram-Schmidt necessary to do this?
linear-algebra matrices orthogonality projection-matrices
edited 3 hours ago
Rodrigo de Azevedo
12.6k41751
12.6k41751
asked 12 hours ago
DoofusAnarchy
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The orthogonal projection $p$ onto the line $operatornameVect(u=(u_1,u_2)^T)$ is defined by: for $x=(x_1,x_2)^TinBbb R^2$,
$$p(x)=langle x,urangle u =(x_1u_1+x_2u_2)u$$
Hence the desired matrix is
$$P=beginpmatrixu_1^2&u_1u_2\
u_1u_2& u_2^2endpmatrix$$
where the first column is $p((1,0)^T)$ and the second is $p((0,1)^T)$.
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
The orthogonal projection $p$ onto the line $operatornameVect(u=(u_1,u_2)^T)$ is defined by: for $x=(x_1,x_2)^TinBbb R^2$,
$$p(x)=langle x,urangle u =(x_1u_1+x_2u_2)u$$
Hence the desired matrix is
$$P=beginpmatrixu_1^2&u_1u_2\
u_1u_2& u_2^2endpmatrix$$
where the first column is $p((1,0)^T)$ and the second is $p((0,1)^T)$.
add a comment |Â
up vote
0
down vote
accepted
The orthogonal projection $p$ onto the line $operatornameVect(u=(u_1,u_2)^T)$ is defined by: for $x=(x_1,x_2)^TinBbb R^2$,
$$p(x)=langle x,urangle u =(x_1u_1+x_2u_2)u$$
Hence the desired matrix is
$$P=beginpmatrixu_1^2&u_1u_2\
u_1u_2& u_2^2endpmatrix$$
where the first column is $p((1,0)^T)$ and the second is $p((0,1)^T)$.
add a comment |Â
up vote
0
down vote
accepted
up vote
0
down vote
accepted
The orthogonal projection $p$ onto the line $operatornameVect(u=(u_1,u_2)^T)$ is defined by: for $x=(x_1,x_2)^TinBbb R^2$,
$$p(x)=langle x,urangle u =(x_1u_1+x_2u_2)u$$
Hence the desired matrix is
$$P=beginpmatrixu_1^2&u_1u_2\
u_1u_2& u_2^2endpmatrix$$
where the first column is $p((1,0)^T)$ and the second is $p((0,1)^T)$.
The orthogonal projection $p$ onto the line $operatornameVect(u=(u_1,u_2)^T)$ is defined by: for $x=(x_1,x_2)^TinBbb R^2$,
$$p(x)=langle x,urangle u =(x_1u_1+x_2u_2)u$$
Hence the desired matrix is
$$P=beginpmatrixu_1^2&u_1u_2\
u_1u_2& u_2^2endpmatrix$$
where the first column is $p((1,0)^T)$ and the second is $p((0,1)^T)$.
answered 11 hours ago
user296113
6,464728
6,464728
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