Boundary Value Problem; Eigenvalues and Eigenfunctions

In summary: However, when I substituted in \lambda=n\pi/L, I found that there is always an eigenfunction/value for \lambda>0. In summary, when \lambda>0 there is always an eigen function/value.
  • #1
Pinedas42
12
0

Homework Statement


Find the eigenvalues and eigenfunction for the BVP:
y'''+[itex]\lambda[/itex]^2y'=0

y(0)=0, y'(0)=0, y'(L)=0

Homework Equations



m^3+[itex]\lambda[/itex]m=0, auxiliary equation

The Attempt at a Solution



3 cases [itex]\lambda[/itex]=0, [itex]\lambda[/itex]<0, [itex]\lambda[/itex]>0
this first 2 give y=0 always, as the only solution.

[itex]\lambda[/itex]>0 solution attempt

m^3+[itex]\lambda[/itex]^2m=0
m(m^2+[itex]\lambda[/itex]^2)=0
roots:
m=0, and +/- [itex]\lambda[/itex]i

general solution:
y=A+Bcos([itex]\lambda[/itex]x)+Csin([itex]\lambda[/itex]x)
Where A, B, and C are constants

y'=-B[itex]\lambda[/itex]sin([itex]\lambda[/itex]x)+C[itex]\lambda[/itex]cos([itex]\lambda[/itex]x)

y(0)=0 gives
0=A+B, or A=-B

y'(0)=0 gives
0=[itex]\lambda[/itex]C, so C=0

y'(L)=0 gives
0=-[itex]\lambda[/itex]Bsin([itex]\lambda[/itex]L)

The only solution I find from these data is y=0, which seems kind of off since no eigenfunction/values are found. From what I've read/studied so far when [itex]\lambda[/itex]>0 there is always an eigen function/value.

The alternative I've considered is to consider B≠0 and having the eigenvalue be
[itex]\lambda[/itex]L=n[itex]\pi[/itex] giving [itex]\lambda[/itex]=n[itex]\pi[/itex]/L

which then gives the eigen function
y=A+Bcos((n[itex]\pi[/itex]x)/L)
 
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  • #2
Pinedas42 said:

Homework Statement


Find the eigenvalues and eigenfunction for the BVP:
y'''+[itex]\lambda[/itex]^2y'=0

y(0)=0, y'(0)=0, y'(L)=0

Homework Equations



m^3+[itex]\lambda[/itex]m=0, auxiliary equation

The Attempt at a Solution



3 cases [itex]\lambda[/itex]=0, [itex]\lambda[/itex]<0, [itex]\lambda[/itex]>0
this first 2 give y=0 always, as the only solution.

[itex]\lambda[/itex]>0 solution attempt

m^3+[itex]\lambda[/itex]^2m=0
m(m^2+[itex]\lambda[/itex]^2)=0
roots:
m=0, and +/- [itex]\lambda[/itex]i

general solution:
y=A+Bcos([itex]\lambda[/itex]x)+Csin([itex]\lambda[/itex]x)
Where A, B, and C are constants

y'=-B[itex]\lambda[/itex]sin([itex]\lambda[/itex]x)+C[itex]\lambda[/itex]cos([itex]\lambda[/itex]x)

y(0)=0 gives
0=A+B, or A=-B

y'(0)=0 gives
0=[itex]\lambda[/itex]C, so C=0

y'(L)=0 gives
0=-[itex]\lambda[/itex]Bsin([itex]\lambda[/itex]L)

The only solution I find from these data is y=0, which seems kind of off since no eigenfunction/values are found.

That's wrong, your next paragraph is the correct procedure
The alternative I've considered is to consider B≠0 and having the eigenvalue be
[itex]\lambda[/itex]L=n[itex]\pi[/itex] giving [itex]\lambda[/itex]=n[itex]\pi[/itex]/L

which then gives the eigen function
y=A+Bcos((n[itex]\pi[/itex]x)/L)

And since A = -B, you have ##B(-1+\cos(\frac {n\pi x} L))##. You could leave off the B and write ##y_n =-1+\cos(\frac {n\pi x} L)##.
 
  • #3
OK, thank you!
I had thought that there always had to be a function for [itex]\lambda[/itex]>0, but I wasn't sure and I couldn't find any literature specifically mentioning it.
 

Related to Boundary Value Problem; Eigenvalues and Eigenfunctions

What is a boundary value problem?

A boundary value problem is a type of mathematical problem that involves finding a solution to a differential equation or system of equations that satisfies specified boundary conditions. In other words, the solution must meet certain criteria at the boundaries of the problem domain.

What are eigenvalues and eigenfunctions?

Eigenvalues and eigenfunctions are important concepts in linear algebra and differential equations. Eigenvalues are scalar values that represent the properties of a linear transformation, while eigenfunctions are the corresponding vectors that are transformed by the linear transformation.

How are boundary value problems solved?

Boundary value problems are typically solved using analytical or numerical methods. Analytical methods involve finding a closed-form solution to the problem, while numerical methods involve using algorithms to approximate the solution.

Why are eigenvalues and eigenfunctions important?

Eigenvalues and eigenfunctions are important in many areas of science and engineering, including physics, chemistry, and signal processing. They allow us to understand the behavior of systems and make predictions about their future behavior.

What are some real-world applications of boundary value problems, eigenvalues, and eigenfunctions?

Boundary value problems, eigenvalues, and eigenfunctions have many practical applications, such as in heat transfer, vibration analysis, and quantum mechanics. They are also used in image and signal processing, control systems, and optimization problems.

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