Finding Eigenvalues and Eigenfunctions for O.D.E. Problem on Interval [0, 4π]

In summary, the conversation discusses solving a differential equation eigenvalue problem with constraints on the value of lambda and the function f(x). The solution involves finding all eigenvalues and eigenfunctions, and considering the case where lambda is negative.
  • #1
jegues
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Homework Statement



Solve the differential equation eigenvalue problem:

[tex]f'' + \lambda f = 0, \quad 0 \leq x \leq 4\pi, \quad \text{where} \quad f^{'}(0) =0, \quad f^{'}(4\pi) = 0, \quad \text{and} f \neq 0.[/tex]

Consider ONLY [tex]\quad \lambda \geq 0, \quad[/tex] and find the values of [tex]\quad \lambda \quad[/tex] and f(x).

Homework Equations





The Attempt at a Solution



See figure attached for my attempt at the solution

By "Solve the differential equation eigenvalue problem" do they simply mean find all the eigen values and eigen functions?

If so, is what I've done correct?

Thanks again!
 

Attachments

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  • #2
It looks OK to me.

For extra credit, instead of just assuming λ ≥ 0, try λ = -μ2 < 0 and show you only get the trivial solution.:cool:
 

FAQ: Finding Eigenvalues and Eigenfunctions for O.D.E. Problem on Interval [0, 4π]

What is an O.D.E. Eigenvalue Problem?

An O.D.E. Eigenvalue Problem is a type of differential equation that involves finding the eigenvalues and corresponding eigenfunctions of a given linear operator. It is commonly used in mathematical physics and engineering to model physical systems.

How is an O.D.E. Eigenvalue Problem solved?

The O.D.E. Eigenvalue Problem is solved by first transforming it into a system of algebraic equations using the eigenvalue-eigenfunction method. This system is then solved using various techniques such as matrix diagonalization or eigenvalue decomposition.

What are the applications of O.D.E. Eigenvalue Problems?

O.D.E. Eigenvalue Problems have a wide range of applications in various fields such as quantum mechanics, fluid dynamics, and structural engineering. They are used to study the behavior of physical systems and to analyze their stability and performance.

What is the significance of eigenvalues and eigenfunctions in O.D.E. Eigenvalue Problems?

The eigenvalues and eigenfunctions in O.D.E. Eigenvalue Problems represent the characteristic properties of the given system. They provide information about the behavior and stability of the system and are crucial in solving the differential equations.

Are there any real-world examples of O.D.E. Eigenvalue Problems?

Yes, there are many real-world examples of O.D.E. Eigenvalue Problems. Some common examples include the Schrödinger equation in quantum mechanics, the heat equation in thermodynamics, and the wave equation in structural engineering. These equations involve finding the eigenvalues and corresponding eigenfunctions to analyze and understand the behavior of physical systems.

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