Quick question about solving an eigenvalue problem

In summary, the eigenvalue is 0 and the eigenfunction is y(x)=ax, with a determined by some initial value.
  • #1
Hakkinen
42
0
I just have a question about the problem for when the eigenvalue = 0

Homework Statement


for [itex] y_{xx}=-\lambda y [/itex] with BC [itex]y(0)=0 , y'(0)=y'(1) [/itex]



Homework Equations




The Attempt at a Solution


y for lamda = 0 is ax+b
so from BC:
y(0)=b=0

and a=a

What is the conclusion to make from this? lamda = 0 and the eigenfunction is constant?
 
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  • #2
Hakkinen said:
I just have a question about the problem for when the eigenvalue = 0

Homework Statement


for [itex] y_{xx}=-\lambda y [/itex] with BC [itex]y(0)=0 , y'(0)=y'(1) [/itex]



Homework Equations




The Attempt at a Solution


y for lamda = 0 is ax+b
so from BC:
y(0)=b=0

and a=a

What is the conclusion to make from this? lamda = 0 and the eigenfunction is constant?

I think the conclusion is just that y(x)=ax. That doesn't make it constant.
 
  • #3
Dick said:
I think the conclusion is just that y(x)=ax. That doesn't make it constant.

Thanks for the reply. So the eigenvalue is 0 and the eigenfunction is just ax, with a determined by some IV?
 
  • #4
Hakkinen said:
Thanks for the reply. So the eigenvalue is 0 and the eigenfunction is just ax, with a determined by some IV?

Well, you don't conclude that the eigenvalue is 0, you were given that, right? And, yes, you can conclude that y(x)=ax. You can't determine a from the conditions you are given. Another IV would do it.
 

Related to Quick question about solving an eigenvalue problem

1. What is an eigenvalue problem?

An eigenvalue problem is a mathematical problem that involves finding the eigenvalues (or characteristic values) of a given matrix. The eigenvalues are special numbers that represent the scaling factor of the eigenvectors (or characteristic vectors) of the matrix.

2. How do you solve an eigenvalue problem?

To solve an eigenvalue problem, you need to first find the determinant of the matrix and then solve the characteristic equation, which is a polynomial equation involving the eigenvalues. The solutions to this equation are the eigenvalues of the matrix. You can then find the corresponding eigenvectors using these eigenvalues.

3. What is the importance of solving an eigenvalue problem?

Solving an eigenvalue problem has many applications in fields such as physics, engineering, and computer science. It is used to find important properties of a matrix, such as its stability, convergence, and behavior in a system. It is also used in data analysis and image processing.

4. Can you provide an example of an eigenvalue problem?

One example of an eigenvalue problem is finding the principal components of a dataset. This involves finding the eigenvalues and eigenvectors of the covariance matrix of the data, which can be used to reduce the dimensionality of the data for easier analysis.

5. Are there any special methods for solving difficult eigenvalue problems?

Yes, there are various methods for solving difficult eigenvalue problems, such as the power method, inverse iteration, and QR algorithm. These methods are often used when the matrix is large or when the eigenvalues are complex or repeated.

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