Eigenspaces of an orthogonal projection
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So for an orthogonal projection $P:Vrightarrow U $, the task is to find the eigenvalues and eigenspaces of P.
I have found that $lambda = 0,1$
Then $E_0 = ker(P) = U^{perp}$
but for $E_1$ i'm not sure
$E_1 = ker(P-Id)$
I feel like the solution for this is somewhat trivial and is staring me in the face, but i cant see it
Can anyone explain? thanks
eigenvalues-eigenvectors
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up vote
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So for an orthogonal projection $P:Vrightarrow U $, the task is to find the eigenvalues and eigenspaces of P.
I have found that $lambda = 0,1$
Then $E_0 = ker(P) = U^{perp}$
but for $E_1$ i'm not sure
$E_1 = ker(P-Id)$
I feel like the solution for this is somewhat trivial and is staring me in the face, but i cant see it
Can anyone explain? thanks
eigenvalues-eigenvectors
1
What actually do you want to find?
– Anupam
Nov 22 at 4:30
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
So for an orthogonal projection $P:Vrightarrow U $, the task is to find the eigenvalues and eigenspaces of P.
I have found that $lambda = 0,1$
Then $E_0 = ker(P) = U^{perp}$
but for $E_1$ i'm not sure
$E_1 = ker(P-Id)$
I feel like the solution for this is somewhat trivial and is staring me in the face, but i cant see it
Can anyone explain? thanks
eigenvalues-eigenvectors
So for an orthogonal projection $P:Vrightarrow U $, the task is to find the eigenvalues and eigenspaces of P.
I have found that $lambda = 0,1$
Then $E_0 = ker(P) = U^{perp}$
but for $E_1$ i'm not sure
$E_1 = ker(P-Id)$
I feel like the solution for this is somewhat trivial and is staring me in the face, but i cant see it
Can anyone explain? thanks
eigenvalues-eigenvectors
eigenvalues-eigenvectors
asked Nov 22 at 4:20
big daddy
434
434
1
What actually do you want to find?
– Anupam
Nov 22 at 4:30
add a comment |
1
What actually do you want to find?
– Anupam
Nov 22 at 4:30
1
1
What actually do you want to find?
– Anupam
Nov 22 at 4:30
What actually do you want to find?
– Anupam
Nov 22 at 4:30
add a comment |
2 Answers
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Let $x in E_1$. Then, $x=P(x) in P(V)$. Hence, $E_1 subseteq P(V)$.
Let, $y in P(V)$. Then, $y=P(X)$ for some $x in V$. Hence, $P(y)=P^2(x)=P(x)=y$ i.e. $y in E_1$. $therefore P(V) subseteq E_1$.
Combining, we get, $P(V)=E_1$.
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$E_1$ can be proved to be the range of P. You'll have to do a bit of work, but it's not too hard to show.
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2 Answers
2
active
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2 Answers
2
active
oldest
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active
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active
oldest
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up vote
1
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accepted
Let $x in E_1$. Then, $x=P(x) in P(V)$. Hence, $E_1 subseteq P(V)$.
Let, $y in P(V)$. Then, $y=P(X)$ for some $x in V$. Hence, $P(y)=P^2(x)=P(x)=y$ i.e. $y in E_1$. $therefore P(V) subseteq E_1$.
Combining, we get, $P(V)=E_1$.
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up vote
1
down vote
accepted
Let $x in E_1$. Then, $x=P(x) in P(V)$. Hence, $E_1 subseteq P(V)$.
Let, $y in P(V)$. Then, $y=P(X)$ for some $x in V$. Hence, $P(y)=P^2(x)=P(x)=y$ i.e. $y in E_1$. $therefore P(V) subseteq E_1$.
Combining, we get, $P(V)=E_1$.
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
Let $x in E_1$. Then, $x=P(x) in P(V)$. Hence, $E_1 subseteq P(V)$.
Let, $y in P(V)$. Then, $y=P(X)$ for some $x in V$. Hence, $P(y)=P^2(x)=P(x)=y$ i.e. $y in E_1$. $therefore P(V) subseteq E_1$.
Combining, we get, $P(V)=E_1$.
Let $x in E_1$. Then, $x=P(x) in P(V)$. Hence, $E_1 subseteq P(V)$.
Let, $y in P(V)$. Then, $y=P(X)$ for some $x in V$. Hence, $P(y)=P^2(x)=P(x)=y$ i.e. $y in E_1$. $therefore P(V) subseteq E_1$.
Combining, we get, $P(V)=E_1$.
answered Nov 22 at 5:51
SinTan1729
2,399622
2,399622
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up vote
1
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$E_1$ can be proved to be the range of P. You'll have to do a bit of work, but it's not too hard to show.
add a comment |
up vote
1
down vote
$E_1$ can be proved to be the range of P. You'll have to do a bit of work, but it's not too hard to show.
add a comment |
up vote
1
down vote
up vote
1
down vote
$E_1$ can be proved to be the range of P. You'll have to do a bit of work, but it's not too hard to show.
$E_1$ can be proved to be the range of P. You'll have to do a bit of work, but it's not too hard to show.
answered Nov 22 at 5:05
JonathanZ
2,089613
2,089613
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1
What actually do you want to find?
– Anupam
Nov 22 at 4:30