How to find eigenvalues and eigenfunction

In summary, we are given the operator ##\hat{A}## and asked to find the eigenfunction and eigenvalue for the equation ##\hat{A}f(x)=f(-x)##. We can solve this by taking derivatives and using the definition of an eigenfunction. By applying the operator twice, we can find the eigenvalues of ##\hat{A^2}## and determine what the possible eigenvalues of ##\hat{A}## can be.
  • #1
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OP warned about not using the homework template
defind ## \hat{A}f(x)=f(-x) ## find eigenfunction and eigenvalue

I think

## \frac{d}{dx} ( \hat{A}f(x) ) = \frac{d}{dx} f(-x) ##
## \hat{A} \frac{d}{dx}f(x) + f(x) \frac{d}{dx} \hat{A} = -\frac{d}{dx} f(x)##
## \hat{A} \frac{d}{dx}f(x) + \frac{d}{dx} f(x) = -f(x) \frac{d}{dx} \hat{A}##
## (\hat{A} + 1)\frac{d}{dx} f(x) = -f(x) \frac{d}{dx} \hat{A}##

multiply by ## dx ##

## (\hat{A} + 1)d{f(x)} = -f(x) d{ \hat{A} }##
## ∫ \frac{1}{f(x)}d f(x) = - ∫ \frac{1}{\hat{A} + 1}d \hat{A}##
## \ln{f(x)} = -\ln{(\hat{A}+1)}+\ln{c} ##
## \ln{f(x)} = \ln(\frac{c}{\hat{A}+1}) ##

so...
## f(x) = \frac{c}{\hat{A}+1} ## i think it's wrong
 
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  • #2
Why are you taking derivatives?

The definition of an eigenfunction of an operator is:

##\hat{A} f(x) = \lambda f(x)##

where ##\lambda## is a number.
 
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  • #3
The answer seems to have no relation to the question ie where does the derivative come from. As stated its an interesting question with an interesting answer. Expand f(x) in a power series and write the eigenvalue equation (f(-x) = a*f(x) - a eigenvalue - f(x) eigenfuntion) - then equate terms of the same power.
 
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  • #4
Another said:
defind ## \hat{A}f(x)=f(-x) ## find eigenfunction and eigenvalue
Apply the operator twice - what do you get? What is ## \hat{A}(\hat{A}f(x)) ##? So what are the eigenvalues of ##\hat{A^2}##? What can be the eigenvalues of ##\hat{A}##?
 
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1. What is an eigenvalue and eigenfunction?

An eigenvalue is a scalar quantity that represents the magnitude of a particular characteristic or property of a system. It is often associated with a corresponding eigenvector, which is a vector that does not change its direction when a linear transformation is applied to it. An eigenfunction is a function that satisfies a specific equation involving an eigenvalue and is associated with a particular eigenvalue.

2. Why are eigenvalues and eigenfunctions important?

Eigenvalues and eigenfunctions are important because they allow us to analyze and understand complex systems by breaking them down into simpler components. They also have many applications in physics, engineering, and other fields. For example, they are used in quantum mechanics to describe the energy levels of particles, and in signal processing to analyze and manipulate signals.

3. How do I find eigenvalues and eigenfunctions?

The process of finding eigenvalues and eigenfunctions depends on the specific problem at hand, but typically involves solving an eigenvalue equation. This equation is often in the form of a matrix equation, and the eigenvalues and eigenfunctions can be found by solving for the eigenvalues of the matrix. In some cases, numerical methods may be used to approximate the eigenvalues and eigenfunctions.

4. What are some properties of eigenvalues and eigenfunctions?

Some properties of eigenvalues and eigenfunctions include the fact that they are unique for a given system, meaning that different systems will have different eigenvalues and eigenfunctions. Additionally, eigenvalues can be real or complex numbers, while eigenfunctions can be real or complex-valued functions. Finally, the eigenvalues of a matrix are related to its determinant and trace, while the eigenfunctions are orthogonal to each other.

5. Can eigenvalues and eigenfunctions be used to solve differential equations?

Yes, eigenvalues and eigenfunctions are often used to solve differential equations. In particular, they are commonly used to solve boundary value problems, where the values of a function are known at the boundaries of a domain and we want to find the function that satisfies the equation within that domain. The eigenvalues and eigenfunctions of the differential operator can be used to construct a solution to the equation that satisfies the boundary conditions.

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