Polynomial Linear Transformation

Needhelpzzz
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Let V be the linear space of all real polynomials p(x) of degree < n. If p ∈ V, define q = T(p) to mean that q(t) = p(t + 1) for all real t. Prove that T has only the eigenvalue 1. What are the eigenfunctions belonging to this eigenvalue?

What I did was
T(p)= (lamda) p = q (Lamda) p(t+1) = q(t) (Lamda) p(t+1) = p(t+1)
(Lamda) = 1

Eigenfunctions are nonzero constant polynomials.

Is this right though?
 
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Needhelpzzz said:
Let V be the linear space of all real polynomials p(x) of degree < n. If p ∈ V, define q = T(p) to mean that q(t) = p(t + 1) for all real t. Prove that T has only the eigenvalue 1. What are the eigenfunctions belonging to this eigenvalue?

What I did was
T(p)= (lamda) p = q (Lamda) p(t+1) = q(t) (Lamda) p(t+1) = p(t+1)
(Lamda) = 1

Eigenfunctions are nonzero constant polynomials.

Is this right though?

That may be right, but you certainly haven't proved it. What you have to work with is$$
p(t+1) = \lambda p(t)$$Surely ##\lambda = 1## and ##p(t) \equiv c## (a constant) satisfy that condition. But maybe some other ##\lambda## and ##p(t)## work too. You need to prove that ##\lambda## must equal ##1## and then show the only polynomials that work when ##\lambda =1## are constants.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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