Eigenstuff of Second Derivative

In summary, the conversation discusses finding the eigenvalues and eigenvectors of the operator ##\hat{O}=\frac{d^2}{d\phi^2}## in polar coordinates. The differential equation ##\hat{O}f=qf## is derived with the condition that ##f(\phi)=f(\phi+2\pi)## for the eigenfunctions. The two solutions provided, ##f_q(x)=Ae^{\pm \sqrt{q} \phi}## and ##f_q(x)=Ae^{\sqrt{q} \phi}+Be^{-\sqrt{q} \phi}##, are shown to be equivalent and can be made periodic by requiring q to be negative.
  • #1
Hertz
180
8
Hi,

I'm trying to find the eigenvalues and eigenvectors of the operator ##\hat{O}=\frac{d^2}{d\phi^2}##
Where ##\phi## is the angular coordinate in polar coordinates.

Since we are dealing with polar coordinates, we also have the condition (on the eigenfunctions) that ##f(\phi)=f(\phi+2\pi)##.

This problem leads us to the differential equation ##\hat{O}f=qf## where q is the eigenvalue corresponding to the eigenfunction ##f##.

The solution that I am looking at then concludes that the eigenfunctions take the form:$$f_q(x)=Ae^{\pm \sqrt{q} \phi}$$

But I don't see why this supposedly the solution instead of:$$f_q(x)=Ae^{\sqrt{q} \phi}+Be^{-\sqrt{q} \phi}$$

The second solution is the one I came up with, but I was unable to solve for the "spectrum of the operator" or the allowed values of q. That's why I tried to find an alternative solution.

I hope you can see my confusion. I understand how to find the spectrum given the first result, but I'm still not convinced that the first result is correct. After all, the general solution to the differential equation is what I got for my result. Furthermore, I can use the periodicity condition to solve for ##B## in terms of ##A## but for some reason my end result is not periodic. Can someone please provide some insight into the problem? Thank you
 
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  • #2
The two solutions you mentioned are equivalent. You have two independent solutions which is the property of a second order ODE.
About your other problem. You need periodic solutions? OK, make the ones you have periodic. You should just require q to be negative!
 
  • #3
Shyan said:
The two solutions you mentioned are equivalent. You have two independent solutions which is the property of a second order ODE.
About your other problem. You need periodic solutions? OK, make the ones you have periodic. You should just require q to be negative!

But the first solution has a single unknown whereas the second solution has two unknowns. Also, the first solution only has one term. It's a plus OR minus. It's as if they assume that either A or B has to be 0.

Good thinking on negative q's. I will look more into that. I'm still confused why my solution isn't periodic though. I set ##f(\phi)=f(\phi+2\pi)## and solved for B in terms of A and substituted it back into the original. I would think that the end product would be periodic, but it's not :(
 
  • #4
Hertz said:
But the first solution has a single unknown whereas the second solution has two unknowns. Also, the first solution only has one term. It's a plus OR minus. It's as if they assume that either A or B has to be 0.
The first one is only a bad way of writing the second one!

Hertz said:
Good thinking on negative q's. I will look more into that. I'm still confused why my solution isn't periodic though. I set f(ϕ)=f(ϕ+2π)f(\phi)=f(\phi+2\pi) and solved for B in terms of A and substituted it back into the original. I would think that the end product would be periodic, but it's not :(
By imposing the condition [itex] q<0 [/itex], you're exponentials become imaginary which are linear combinations of sines and cosines! So q can't be any number, it has to be a negative real number and then the solutions become periodic.
 
  • #5
Shyan said:
The first one is only a bad way of writing the second one!

I don't think they are the same my friend.

-e
Oh or is it that they are just splitting the problem up into two separate eigenfunctions?! I.e. "For a given eigenvalue q, there are two eigenfunctions ##f_+## and ##f_-## which satisfy the differential equation." Then each eigenfunction has a single unknown and the periodicity condition can be used to find information about q. (Is there a less technical way to say "periodicity condition"?) Plus, the two eigenfunctions can be treated at the same time using the ##\pm## notation.

Can you do this?? This seems like a really hand-wavy argument to me!

Shyan said:
By imposing the condition [itex] q<0 [/itex], you're exponentials become imaginary which are linear combinations of sines and cosines! So q can't be any number, it has to be a negative real number and then the solutions become periodic.

Why do I need to impose this condition? Shouldn't I be able to solve for the appropriate values of ##q## just by assuming periodicity and then discovering the implications?

Here is my Mathematica code so you know I'm not making an algebra error:
Code:
F[x_] := A E^{Sqrt[q] x} + B E^{-Sqrt[q] x}
eq1 := F[x] == F[x + 2 Pi];
f[x_] := F[x][[1]] /. Solve[eq1, B][[1]][[1]] // Simplify

In the first line I defined F as my general solution. In the second line I state the condition. And then in the third line I solve for B given the condition and substitute it into F, I define this new function as f.

So then, why is f not periodic? Is it because a sum of two exponentials simply can't be periodic? Then why don't I get an issue with solving the equation for B? (I did all this on paper too.)

Furthermore... Even if I was able to solve for B and able to satisfy the periodicity condition, then what condition would I use to determine my allowed values of q??
 
Last edited:

What is the definition of eigenstuff of second derivative?

The eigenstuff of second derivative refers to the eigenvalues and eigenvectors associated with the second derivative of a function. It is a mathematical concept used in linear algebra and differential equations.

Why is eigenstuff of second derivative important?

The eigenstuff of second derivative helps us understand the behavior of a function at critical points, such as maxima, minima, and inflection points. It also has important applications in physics, engineering, and other fields.

How is eigenstuff of second derivative calculated?

To calculate the eigenstuff of second derivative, we first find the second derivative of the function and then solve the resulting differential equation for the eigenvalues and eigenvectors. This can be done analytically or numerically using computational methods.

What is the relationship between eigenstuff of second derivative and the Hessian matrix?

The Hessian matrix is a matrix of second-order partial derivatives of a function. The eigenstuff of second derivative is closely related to the Hessian matrix, as the eigenvalues and eigenvectors of the second derivative are the same as the eigenvalues and eigenvectors of the Hessian matrix.

What are the applications of eigenstuff of second derivative in real life?

The eigenstuff of second derivative has various applications in real life, such as in optimization problems, image processing, and signal analysis. It is also used in the study of physical systems, such as in quantum mechanics and fluid dynamics.

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