All Eigenfunctions can be Represented by a Linear Superposition

In summary, the conversation discusses the properties of the time-independent wave function ##\psi (x)## in relation to the time-independent Schödinger equation. It is stated that while ##\psi (x)## can always be taken to be real, not all solutions to the equation are necessarily real. However, any non-real solutions can be expressed as a linear combination of real solutions with the same energy. It is also noted that the wavefunctions must be solutions to the Schrödinger equation for this relationship to hold true. The conversation ends with a discussion on the proof of this relationship.
  • #1
kq6up
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Homework Statement



The time-independent wave function ##\psi (x)## can always be taken to be real (unlike ##\Psi (x,t)##, which is necessarily complex). This doesn't mean that every solution to the time-independent Schödinger equation is real; what it says is that if you've got one that is not, it can always be expressed as a linear combination of solutions (with the same energy) that are. So you might as well stick to ##\psi##'s that are real. Hint: If ##\psi (x)## satisfies Equation 2.5, for a given E, So too does its complex conjugate. and hence also the real linear combinations ##(\psi +\psi^*)## and ##i(\psi - \psi^*)##.


Homework Equations



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The Attempt at a Solution



Does not any two ##\psi##'s of the same energy level form a subspace of the total general function ##\Psi## that covers all of that subspace? That is if you put a real coefficient in front of one, and an imaginary coefficient in front of the other, you have the ability to make a vector that touches *every* point of that subspace. This seems self evident to me, and I don't understand why there needs to any kind of formal proof that involves plugging this into Schrödingers equation.

Agreed, or am I missing something?

Chris
 
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  • #2
kq6up said:
Does not any two ##\psi##'s of the same energy level form a subspace of the total general function ##\Psi## that covers all of that subspace?
... well isn;t that most of what you have to prove?

Note: the wavefunctions cannot be just any old functions, they have to be solutons to the schrodinger equation - so what is true for any old functions may not be true for psi's.

Agreed, or am I missing something?
You have been thinking about this problem backwards - of course if you start by defining the eigenfunctons as a subspace of the overall function then the answer is self evident - to do a proof you cannot assume that.
You have to start from the definition of the eigenfunctions and of the general function, and demonstrate that they have this relationship.
 
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1. What is the meaning of "linear superposition" in the context of eigenfunctions?

"Linear superposition" refers to the mathematical concept of combining multiple functions in a linear manner to create a new function. In the context of eigenfunctions, this means that any eigenfunction can be created by taking a linear combination of other eigenfunctions.

2. Can you give an example of linear superposition with eigenfunctions?

One example is the Fourier series, where a periodic function can be represented as a linear combination of sine and cosine functions, which are eigenfunctions of the Fourier transform operator.

3. Does this mean that all functions can be represented by a linear superposition of eigenfunctions?

No, not all functions can be represented by a linear superposition of eigenfunctions. This is only true for certain types of functions, such as periodic functions or functions that satisfy certain boundary conditions.

4. How does this concept relate to quantum mechanics?

In quantum mechanics, eigenfunctions represent the possible states of a system. The linear superposition of these eigenfunctions allows us to describe the overall state of the system, taking into account all possible states at the same time.

5. What are the practical applications of understanding eigenfunctions and linear superposition?

Understanding eigenfunctions and linear superposition is crucial in many fields, including quantum mechanics, signal processing, and differential equations. It allows us to solve complex problems and describe physical systems in a more efficient and accurate manner.

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