Problems about eigenvector in quantum mechanics

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Homework Help Overview

The discussion revolves around the concept of eigenvectors in quantum mechanics, specifically in relation to operators and their matrix representations. Participants are exploring the relationship between abstract operators and their representations in different bases.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are questioning whether to use the operator or its matrix representation to find eigenvectors. There is a discussion about how changing the basis affects the matrix representation and whether it also changes the eigenvectors.

Discussion Status

Some participants have provided insights into the distinction between operators and their representations, suggesting that while the components of eigenvectors may change with different bases, the eigenvectors themselves remain unchanged. There is an ongoing exploration of these concepts without a definitive consensus.

Contextual Notes

Participants are navigating the complexities of linear operators in Hilbert space and the implications of changing bases on the representation of operators and eigenvectors. The discussion reflects a need for clarity on these foundational concepts in quantum mechanics.

wowowo2006
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I am learning about the basic quantum mechanics
I know that an operator ,call it M^, is generally a matrix
And we also can be represent it b a matrix representation M, associated with certain basis |e>

M^ = sigma ( Mij |e> <e|)
I,j
Where Mij is matrix element of M

So now I wonder which matrix should I use, M^ or M
To find the eigenvector?
 
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An operator \hat M is an object that takes a vector and gives another vector. It is not a matrix but it has a matrix representation which depends on the base set used. If the base set is \{|n\rangle\}_{n=0}^{\infty}, the matrix elements of \hat M in this basis are M_{mn}=\langle m | \hat M | n \rangle. This is the only matrix associated to \hat M(up to change of basis, of course).
 
Shyan said:
An operator \hat M is an object that takes a vector and gives another vector. It is not a matrix but it has a matrix representation which depends on the base set used. If the base set is \{|n\rangle\}_{n=0}^{\infty}, the matrix elements of \hat M in this basis are M_{mn}=\langle m | \hat M | n \rangle. This is the only matrix associated to \hat M(up to change of basis, of course).
So that means,
When I change the basis, the matrix representation change
So do the eigenvector changes too?
 
wowowo2006 said:
So that means,
When I change the basis, the matrix representation change
So do the eigenvector changes too?

I see what's your problem.
You should be able to distinguish between abstract mathematical constructs and their representations. The operators and vectors are entities independent of their representations. They don't change when you change basis, its just that their components w.r.t. different bases are different. Its like vectors in Euclidean space. They are the same no matter you use a particular set i,j,k or another set rotated w.r.t. to the first one. The vector is the same, only the component changes to comply with the change of basis.
So no, eigenvectors do not change, they only have different components w.r.t. to different bases.
 
Let's clarify this issue a bit. You have a linear operator on Hilbert space (usually defined on a dense subset). This we denote with \hat{A}. Then you can choose any representation you like by taking a complete orthonormal set |u_{j} \rangle of vectors, fulfilling
\langle u_j | u_k \rangle=\delta_{jk}, \quad \sum_{j} |u_j \rangle \langle u_j|=\hat{1}.
Now you can represent the operator in terms of its matrix elements with respect to this basis,
A_{jk}=\langle u_j |\hat{A} u_k \rangle.
You get back the operator by inserting two identity operators in terms of the completeness relation for the basis,
\hat{A}=\sum_{j,k} |u_j \rangle \langle j|\hat{M} u_k \rangle \langle u_k |=\sum_{jk} M_{jk} |u_j \rangle \langle u_k|.
I hope, now at least the formalities are a bit more clear.
 

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