- #1
jaejoon89
- 195
- 0
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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Which of the following explanations is right? (1 is an eigenvalue, but is 0 also?) Could somebody please explain?
-----
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.