Matrix Transformation: U^\dagger vs U

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Discussion Overview

The discussion revolves around the transformation of matrices in the context of quantum mechanics, specifically regarding the use of unitary matrices \( U \) and their adjoints \( U^\dagger \) in the transformation of boson operators and Hamiltonians. Participants explore the implications of these transformations and their conventions in different contexts.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants note that the transformation of a matrix \( M \) can be expressed using either \( U \) or \( U^\dagger \), leading to confusion about the proper convention to use.
  • One participant describes a Hamiltonian represented as a quadratic form and discusses the role of the unitary matrix \( U \) in diagonalizing the Hamiltonian, suggesting that both \( U \) and \( U^\dagger \) can be used depending on the context.
  • Another participant emphasizes the importance of consistency in definitions when using \( U \) or \( U^\dagger \) and mentions that the choice may depend on the specific situation being addressed.
  • There is a clarification about the dimensionality of the matrices involved, with one participant pointing out that \( M \) acts on Fock space while \( M_{ij} \) is limited to the number of sites.
  • Participants discuss the concept of active/passive transformations as a potential framework for understanding the differences in using \( U \) versus \( U^\dagger \).

Areas of Agreement / Disagreement

Participants express differing views on the appropriate use of \( U \) and \( U^\dagger \) in transformations, indicating that no consensus exists on a singular correct approach. The discussion remains unresolved regarding which convention is universally applicable.

Contextual Notes

The discussion highlights the potential for confusion arising from the use of unitary matrices and their adjoints, particularly in the context of quantum mechanics and Hamiltonians. The implications of dimensionality and the specific definitions chosen by participants are also noted as relevant factors.

Niles
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Hi guys

Ok, let's say I have a matrix given by

[tex] M = \sum_{ij}M_{ij}a_i^\dagger a_j,[/tex]

and I wish to transform it. Now in some books I have read they write the transformation as

[tex] s = \sum_{j}U_{ij}a_j,[/tex]

while in some notes I have read they write it as

[tex] s = \sum_{j}U^\dagger_{ij}a_j.[/tex]

What is the deal here? What is the proper way of doing this? :confused:

Kind regards,
Niles.
 
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Suppose you have a Hamiltonian which can be represented as a quadratic form between boson operators:
[tex] {\cal H} = \sum_{ij}a^\dagger_iH_{ij}a_j = \mathbf a^\dagger\mathsf H \mathbf a[/tex]
where the matrix [tex]H_{ij}[/tex] is hermitian.
Suppose you find the eigenvectors of [tex]H_{ij}[/tex] and put them as normalised columns in a matrix [tex]U_{ij}[/tex], which is unitary.
Then a natural way to rewrite the hamiltonian is:
[tex] {\cal H} = \mathbf a^\dagger\mathsf H \mathbf a =<br /> \mathbf a^\dagger \mathsf U\mathsf U^\dagger\mathsf H \mathsf U\mathsf U^\dagger\mathbf a = \mathbf b^\dagger \mathsf D \mathbf b[/tex]
where [tex]\mathsf D = \mathsf U^\dagger\mathsf H \mathsf U[/tex] is diagonal, and the vector of boson operators is transformed as [tex]\mathbf b = U^\dagger\mathbf a[/tex].

Of course, I could equally well have said put the eigenvectors as normalised columns of the unitary matrix [tex]U^\dagger[/tex], and it would all be the other way round!

By the way, your first line is confusing: you have two matrices there. M acts on fock space as an operator (and is infinite dimensional for bosons), but M_ij is only as large as the number of sites.
 


peteratcam said:
Suppose you have a Hamiltonian which can be represented as a quadratic form between boson operators:
[tex] {\cal H} = \sum_{ij}a^\dagger_iH_{ij}a_j = \mathbf a^\dagger\mathsf H \mathbf a[/tex]
where the matrix [tex]H_{ij}[/tex] is hermitian.
Suppose you find the eigenvectors of [tex]H_{ij}[/tex] and put them as normalised columns in a matrix [tex]U_{ij}[/tex], which is unitary.
Then a natural way to rewrite the hamiltonian is:
[tex] {\cal H} = \mathbf a^\dagger\mathsf H \mathbf a =<br /> \mathbf a^\dagger \mathsf U\mathsf U^\dagger\mathsf H \mathsf U\mathsf U^\dagger\mathbf a = \mathbf b^\dagger \mathsf D \mathbf b[/tex]
where [tex]\mathsf D = \mathsf U^\dagger\mathsf H \mathsf U[/tex] is diagonal, and the vector of boson operators is transformed as [tex]\mathbf b = U^\dagger\mathbf a[/tex].

Of course, I could equally well have said put the eigenvectors as normalised columns of the unitary matrix [tex]U^\dagger[/tex], and it would all be the other way round!

By the way, your first line is confusing: you have two matrices there. M acts on fock space as an operator (and is infinite dimensional for bosons), but M_ij is only as large as the number of sites.

Just to be absolutely clear: When you say "other way around", then you mean that we go from

[tex] \mathbf b = U^\dagger\mathbf a[/tex]

to

[tex] \mathbf b = U\mathbf a[/tex]

?
 


Yes, [tex]U[/tex] is a unitary matrix, which implies that [tex]U^\dagger[/tex] is also unitary. Whether you attach a dagger doesn't really matter, as long as you are consistent with the definitions you choose.

In the context of diagonalising hamiltonians like my example, the way I have written it is probably more conventional. In another situations, the other way might be more suitable.

Check out active/passive transformations, it might help.
 

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