What Are the Eigenvalues and Eigenvectors of Derivative Linear Transformations?

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Homework Help Overview

The problem involves finding the eigenvalues and eigenvectors (or eigenfunctions) of linear transformations defined by differentiation on a vector space of functions. Specifically, the transformations T(f) = f' and T(f) = f'' are considered, with a focus on the implications for real eigenvalues and their corresponding eigenspaces.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the definition of eigenvalues and eigenvectors in the context of functions, with one participant expressing uncertainty about how to begin. Another suggests considering a class of functions that satisfy the eigenvalue property, while a third proposes that exponential functions may be relevant. A fourth participant notes the need to solve specific differential equations related to the transformations.

Discussion Status

The discussion is ongoing, with participants exploring different types of functions that might serve as eigenfunctions. There is an acknowledgment of the need to solve differential equations, but no consensus has been reached on the complete set of solutions or the nature of the eigenspaces.

Contextual Notes

Participants are navigating the complexities of differentiating functions and the implications for eigenvalues, with some uncertainty about the forms of functions that can be considered. There is also a mention of the potential limitations of the types of functions that satisfy the eigenvalue equations.

kehler
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Homework Statement


Let V be the vector space of all functions f: R->R which can be differentiated arbitrarily many times.
a)Let T:V->V be the linear transformation defined by T(f) = f'. Find the (real) eigenvalues and eigenvectors of T. More precisely, for each real eigenvalue describe the eigenspace of T corresponding to the eigenvalue. (Since the elements of the vector space are functions, some people would use the term eigenfunction instead of eigenvector
b)Now let T:V->V be the linear transformation defined by T(f) = f''. Prove that every real number eigenvalue is an eigenvalue of T


The Attempt at a Solution


I don't really know where to start :S
The eigenvectors should be functions f where
T(f) = eigenvalue x f
So, f' = eigenvalue x f
What do I do from here? I can't expand it cos I don't know the form of f(x)
 
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Well I can think of a class of functions for which f(n) = [tex]\lambda[/tex]f. Though I don't know if they are the only possible types of functions which satisfy this property.
 
Would that be the exponential functions?
 
In other words, you need to solve the differential equations [itex]df/dx= \lambda f[/itex] and [itex]d^f/dx^2= \lambda f[/itex]. That shouldn't be too hard.
 

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