Eigenvalues of a polynomial transformation

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SUMMARY

The discussion centers on the polynomial transformation defined by T(p) = p(t + 1) for real polynomials p(x) of degree less than n. It is established that the only eigenvalue of the transformation T is 1, with the sole eigenfunction being a constant polynomial. The participants clarify that for polynomials of any degree, the translation by 1 results in no overlap of basis polynomials, confirming that only constant functions can satisfy the eigenvalue equation.

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  • Understanding of linear transformations in vector spaces
  • Familiarity with polynomial functions and their properties
  • Knowledge of eigenvalues and eigenfunctions
  • Basic linear algebra concepts, including characteristic polynomials
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  • Explore the concept of eigenvalues and eigenfunctions in greater detail
  • Learn about the implications of polynomial translations on function behavior
  • Investigate the relationship between polynomial degree and eigenfunction characteristics
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Mathematics students, particularly those studying linear algebra and polynomial functions, as well as educators and researchers interested in the properties of linear transformations in polynomial spaces.

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Homework Statement


Let V be the linear space of all real polynomials p(x) of degree < n. If p \in 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?


Homework Equations


Not sure there are any.


The Attempt at a Solution


I am completely lost on this. I know how to solve this for polynomials of a specific degree, but n is unspecified. Here's an example I worked for a polynomial of degree 2:

p(t)=a_{0}+a_{1}t+a_{2}t^2

can be written as

\left[ \begin{array}{ccc} a_0 &amp; 0 &amp; 0 \\ 0 &amp; a_1 &amp; 0 \\ 0 &amp; 0 &amp; a_2 \end{array} \right] <br /> \left[ \begin{array}{c} 1 \\ t \\ t^2 \end{array} \right] = \left[ \begin{array}{c} a_0 \\ a_{1}t \\ a_{2}t^2 \end{array} \right]

then
T(p)=a_{0}+a_{1}(t+1)+a_{2}(t+1)^2<br /> <br /> \left[ \begin{array}{ccc} a_0 &amp; 0 &amp; 0 \\ a_1 &amp; a_1 &amp; 0 \\ a_2 &amp; 2a_2 &amp; a_2 \end{array} \right] <br /> \left[ \begin{array}{c} 1 \\ t \\ t^2 \end{array} \right] = \left[ \begin{array}{c} a_0 \\ a_{1}(t+1) \\ a_{2}(t+1)^2 \end{array} \right]

But taking the characteristic polynomial of T(p) for p of degree 3, I'm getting distinct eigenvalues equal to the coefficients a_0, a_1, a_2 and not 1. Unless this has to do with the eigenfunction somehow. Any ideas?
 
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so for a general polynomial you can write the requirement as
<br /> q(t) = \sum_n a_n t^n = \sum_n b_n (t+1)^n = p(t+1)<br />

now consider given powers of t

another hint is that any constant is clearly an eigenfunction - what is it eigenvalue?
 
Thanks, that made sense. Question, though. I found that only a constant can be the eigenfunction. Is this true?
 
yeah i agree, i haven't worked it thorugh, but i think it was heading that way

P(t+1) is basically translating the function by -1, so as no basis polynomials will overlie themselves after the translation, the constant is the only eigenfunction
 

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