What Eigenvalues Lead to Square-Integrable Eigenfunctions?

In summary, the homework statement states that to solve the eigenvalue problem, you need to find the eigenvalue for which the square-integrable eigenfunctions exist. Differentiating both sides of the equation, you find that ψ(x)x=λ d/dx ψ(x) and ψ(x)x/λ= d/dx ψ(x). This means that the eigenvalue for which ψ(x)x=λ is equal to 2. However, this is not square integrable because for any value of λ there is an infinite integral in the square.
  • #1
Felicity
27
0

Homework Statement



solve the eigenvalue problem

(-∞)x dx' (ψ(x' ) x' )=λψ(x)

what values of the eigenvalue λ lead to square-integrable eigenfunctions?


The Attempt at a Solution



(-∞)xdx' (ψ(x' ) x' )=λψ(x)

differentiate both sides to get

ψ(x)x=λ d/dx ψ(x)


ψ(x)x/λ= d/dx ψ(x)

2xe x^2 =d/dx e x^2

so ψ(x) = e x^2 and λ = 2

but this is not square integrable so either this is incorrect or there are other solutions I am not seeing

Can anyone help me find what I am missing?

Thank you
 
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  • #2
You want to solve the differential equation, ψ(x)x/λ= d/dx ψ(x) Separate the variables. You should get a solution with a lambda in it. Figure out what values of lambda make it square integrable.
 
  • #3
Hello,
I think there are other solutions.
Take your equation,
[tex] x\psi\left(x\right) = \lambda\frac{d}{dx}\psi\left(x\right)[/tex]
and substitute [tex] \psi\left(x\right) = \exp\left(f\left(x\right)\right)[/tex] and see if you don't get an equation for [tex]f\left(x\right)[/tex] which has a solution that depends on [tex]\lambda[/tex].

Also, don't forget your solution has to be finite at the lower endpoint of the integral ([tex]-\infty[/tex]) in the original problem statement.
 
  • #4
Dick said:
You want to solve the differential equation, ψ(x)x/λ= d/dx ψ(x) Separate the variables. You should get a solution with a lambda in it. Figure out what values of lambda make it square integrable.

ok i separated variables, integrated and got

ψ(x)=e1/(2λ) x2

however I don't see how this can be square integrable since for any value of λ I can think of the integral of the square will equal infinity. I feel like I am missing something obvious here but I don't know what it is
 
  • #5
Felicity said:
ok i separated variables, integrated and got

ψ(x)=e1/(2λ) x2

however I don't see how this can be square integrable since for any value of λ I can think of the integral of the square will equal infinity. I feel like I am missing something obvious here but I don't know what it is

Will it equal infinity even if lambda is negative?
 
  • #6
of course! I am so embarrassed, thank you
 

FAQ: What Eigenvalues Lead to Square-Integrable Eigenfunctions?

What is an eigenvalue problem?

An eigenvalue problem is a mathematical problem that involves finding the values (eigenvalues) and corresponding vectors (eigenvectors) that satisfy a specific equation. These values and vectors are important in many fields of science, including physics, engineering, and data analysis.

How do you solve an eigenvalue problem?

Solving an eigenvalue problem involves several steps, including setting up the problem, finding the characteristic polynomial, and then using various methods such as the power method or Jacobi method to find the eigenvalues and eigenvectors. The specific method used will depend on the size and complexity of the problem.

Why are eigenvalue problems important?

Eigenvalue problems are important because they can help us understand the behavior of complex systems, such as quantum mechanical systems or large datasets. Eigenvalues and eigenvectors can provide insights into the structure and dynamics of these systems, making them valuable tools for analysis and prediction.

What are some applications of eigenvalue problems?

Eigenvalue problems have a wide range of applications in various fields, including physics, engineering, computer science, and data analysis. Some specific examples include using eigenvalues to analyze the stability of a system, finding the principal components of a dataset, and solving differential equations in physics and engineering.

Are there any limitations to solving eigenvalue problems?

While eigenvalue problems can provide valuable insights and solutions in many cases, there are some limitations to their use. These include the computational complexity of solving large problems, the possibility of multiple solutions, and the potential for numerical errors. It is important to carefully consider these limitations when using eigenvalue problems in scientific research.

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