Eigenfunctions and their Eigenvalues

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Homework Help Overview

The discussion revolves around the construction of orthogonal linear combinations of eigenfunctions associated with the same eigenvalue of a differential operator. The specific eigenfunctions mentioned are f=e^(x) and g=e^(-x), with the operator being the second derivative.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the concept of orthogonality in relation to eigenfunctions and question the appropriate inner product to use. There is a discussion about constructing linearly independent combinations of the given eigenfunctions that are orthogonal over a specified interval.

Discussion Status

Some participants have provided insights into the nature of orthogonality and the necessary conditions for achieving it. There is an acknowledgment of the need for a scalar product and the implications of using different inner products. The conversation reflects a productive exploration of the topic, with attempts to clarify misunderstandings and refine approaches.

Contextual Notes

Participants are working under the constraint of needing to find orthogonal combinations of the eigenfunctions on the interval from (-1,1). There is an implicit assumption regarding the inner product to be used for defining orthogonality.

g782k936
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If I have two eigenfunctions of an operator with the same eigenvalue how do I construct linear combinations of my eigenfunctions so that they are orhtogonal?

My eigenfunctions are: f=e^(x) and g=e^(-x)

and the operator is (d)^2/(dx)^2
 
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Orthogonal wrt what?

You need a scalar product.

Daniel.
 
I want to have linearly independent combinations of f and g that are orthognal on the interval from (-1,1) I'm guesing that they need to be wrt f and g.
 
g782k936 said:
I want to have linearly independent combinations of f and g that are orthognal on the interval from (-1,1) I'm guesing that they need to be wrt f and g.
No, that was not the question. "Orthogonal" means that the inner product is 0 so whether or not two vectors are orthogonal depends on the inner product used.

The most common inner product for real valued functions on an interval (a, b) is [itex]\int_a^b f(x)g(x)dx[/itex].

Since, if two eigenvectors correspond to the same eigenvalue, any linear combination is also an eigenvector corresponding to that eigenvalue, a simple "orthogonal projection" will work.

If u and v are two vectors in an inner product space, then the "projection of v onto u" is given by
[tex]\frac{<u,v>}{<u,u>}\vec{u}[/tex]
The "orthogonal projection" is v minus that:
[tex]\vec{v}- \frac{<u,v>}{<u,u>}\vec{u}[/tex]

Calculate that with u= ex, v= e-x, and inner product [itex]<u,v>= \int_{-1}^1 u(x)v(x)dx[/itex].
 
O.k.

I think that worked. I had been trying the integral in a slightly different way using f + g instead of fg.

Thanks.
 

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