What are the eigenvalues and eigenfunctions for T(f(x)) = 5f(x) on C for V:R->R?

In summary: If 5 is the only eigenvalue and every function in the space is an eigenvector, then 5 is the eigenfunction for this particular problem.
  • #1
glueball8
346
1

Homework Statement


T(f(x)) = 5 f(x)
T is defined on C. Find all real eigenvalues and real eigenfunction. V:R -> R

Homework Equations


Not sure.


The Attempt at a Solution


No, clue. I can find eigenvalues for matrices, that's not a problem. I'm having problem that its a T(function) = something function, how do I solve a problem like this in general?

Any hints?

Thanks
 
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  • #3
Mark44 said:
Isn't 5 the eigenvalue?

:redface: Bad example. So the eigenfunction is any function?

Uh how to do theses in general? Can you make up something more complicated and explain how to do it?

Or a link?
 
  • #4
How about using the definition of "eigenvalue": If T is a linear transformation that maps functions into functions, then [itex]\alpha[/itex] is an "eigenvalue" and a non-zero function, f(x), is an eigenvector if and only if [itex]Tf(x)= \alpha f(x)[/itex]. If you are told that Tf(x)= 5f(x) for all f, then, yes, 5 is the only eigenvalue and every function in the space is an eigenvector. T just "multiplies by 5" and is exactly the same as a diagonal matrix having all "5" on its diagonal.
 
  • #5
glueball8 said:
:redface: Bad example. So the eigenfunction is any function?
If all T does is multiply a function by 5, then yes.

Uh how to do these in general? Can you make up something more complicated and explain how to do it?
Usually, you solve a differential equation. Equations like the Legendre's differential equation, the Bessel's differential equation, and the Schrodinger equation are all of this form.

The differential equation [itex]y'-\lambda y=0[/itex] is a simple example. You could write it as

[tex]D(y) = \lambda y[/tex]

where D is the derivative operator. The solution to this equation [itex]y=e^{\lambda x}[/itex] is an eigenfunction of D.

Did you have a specific type of problem in mind?
 
  • #6
Ok cool. :)

How about T(f(x)) = 4f(-x) + f'(x) + 6f(6)? (Might not be do able) Or something like that?

Thanks
 
  • #7
Give us an actual problem, not something you just made up.
 

FAQ: What are the eigenvalues and eigenfunctions for T(f(x)) = 5f(x) on C for V:R->R?

What are eigenvalues and eigenfunctions?

Eigenvalues and eigenfunctions are mathematical concepts used in linear algebra to describe the behavior of a linear transformation. Eigenvalues represent the scaling factor of the eigenvectors, which are the special vectors that remain in the same direction after the transformation. Eigenfunctions, on the other hand, are the corresponding functions to the eigenvectors in functional analysis.

How are eigenvalues and eigenfunctions used in science?

Eigenvalues and eigenfunctions are used in various fields of science, including physics, engineering, and computer science. In physics, they are used to describe the properties of quantum systems, such as the energy levels of atoms. In engineering, they are used to analyze vibrations and oscillations in structures. In computer science, they are used in data compression and image processing.

What is the significance of the eigenvalues and eigenfunctions?

The eigenvalues and eigenfunctions provide important information about the behavior of a linear transformation or a system. They can help determine the stability and behavior of a system, as well as identify the critical points. They also play a crucial role in solving differential equations and analyzing complex systems.

How are eigenvalues and eigenfunctions calculated?

The calculation of eigenvalues and eigenfunctions involves finding the characteristic equation of a matrix or a linear transformation. This equation is then solved to obtain the eigenvalues, which represent the roots of the equation. The corresponding eigenfunctions can be obtained by solving a system of equations that involves the eigenvalues and the eigenvectors.

Can eigenvalues and eigenfunctions be complex numbers?

Yes, eigenvalues and eigenfunctions can be complex numbers. In fact, in some cases, complex eigenvalues and eigenfunctions are necessary to fully describe the behavior of a system. For example, in quantum mechanics, the energy levels of atoms are represented by complex eigenvalues and the corresponding eigenfunctions are complex-valued wavefunctions.

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