Tough eigenvalue problem, trying to understand it

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Homework Help Overview

The discussion revolves around an eigenvalue problem involving a projection operator P: V->V, where it is given that P^2 = P and V is expressed as a direct sum of the kernel and image of P. Participants are exploring the eigenvalues of P, particularly questioning whether 0 is an eigenvalue alongside 1.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants are analyzing the implications of the properties of projection operators and their eigenvalues. There are attempts to derive eigenvalues through algebraic manipulation, with some questioning the validity of certain steps and assumptions regarding the relationship between the kernel and image of P.

Discussion Status

The discussion is active, with various interpretations being explored. Some participants provide reasoning that suggests 1 is an eigenvalue, while the status of 0 as an eigenvalue remains contested. There is a mix of agreement and skepticism regarding specific algebraic statements, indicating a productive exchange of ideas.

Contextual Notes

Participants are considering the implications of the direct sum decomposition of V into its kernel and image, and how this affects the existence of eigenvalues. There are also discussions about the assumptions made regarding the nature of the projection operator and its implications for eigenvectors.

jaejoon89
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Suppose P: V->V s.t. P^2 = P and V = kerP + ImP (actually not just + but a direct sum). Find all eigenvalues of P.

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Which of the following explanations is right? (1 is an eigenvalue, but is 0 also?) Could somebody please explain?

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First answer:

Suppose that λ is an eigenvalue of P, with eigenvector v; then:
Pv = λv = (P^2)v = (λ^2)v
This gives (as v ≠ 0):
λ(1−λ) = 0 ⇔ λ = 0 or 1
In fact, Pv = v iff v ∈ Im(P), because:
v ∈ Im(P) ⇔ v = Pz ⇒ Pv = (P^2)z = Pz = v
On the other hand, if v = n + z and Pv = v, then Pv = P(n + z) = Pz ⇒ v = Pz.

Other answer:

P^2(v) = P(P(v)) = P(pv) = pP(v) = (p^2)v.
But P^2(v) = P(v) = pv.
Thus p^2 = p => p in {0, 1}.
Where v in V is an eigenvector of P:V -> V, with associated eigenvalue p in F, the ground field (V/F).
If P(v) = 0, then v in KerP. (Here we assume that v is the eigenvector with associated eigenvalue 0.)
But P(v) = P^2(v) = P(P(v)) => v in ImP.
Thus v in KerP intersection ImP.
But V = KerP (+) ImP => KerP intersection ImP = {0}.
Thus v = 0 => v is not a valid eigenvector (by convention).
Thus 0 is not an eigenvalue of P.
Thus 1 is the only eigenvalue of P.
 
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That 2nd proof certainly makes sense to me. What you have in P is a projection operator, which projects vectors of V to some subspace of V. Now, if the subspace is V itself, then you cannot find the eigenvalue zero for any vector in V. I think that's what happening here but it's certainly not obvious.
 
Is this part true... I'm not sure it is:

But P(v) = P^2(v) = P(P(v)) => v in ImP.
 


The subspace could be zero too -- i.e. P could be the zero operator.

Is this part true... I'm not sure it is:

But P(v) = P^2(v) = P(P(v)) => v in ImP.
Why do you think it's true? If you can't give a precise algebraic calculation that shows it, then you're right to be skeptical about it.
 
I was thinking that the condition

[tex]V = \ker(p) \oplus \mathrm{im}(p)[/tex]

might constrain the subspace to be equal to V but it seems that zero works too.
 
I was thinking that the statement "P(v) = P^2(v) = P(P(v)) => v in ImP" is true because if P(P(v)) then it maps v so obviously v must be in the image. i thought the rest followed from it and I was thinking the same thing as clamtrox, i.e. that the condition constrained it... hm...
 
jaejoon89 said:
if P(P(v)) then it maps v
I can't parse this.


Are you trying to say that you canceled one P from each side of the equation
Pv = PPv​
? If so, then that's a problem -- you can only cancel invertible matrices. P's action on all of V is not invertible.
 

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