Matrix Transformation: U^\dagger vs U

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The discussion centers on the transformation of matrices in the context of quantum mechanics, specifically regarding the use of unitary matrices \( U \) and their adjoints \( U^\dagger \). The transformation of boson operators is represented as \( \mathbf{b} = U^\dagger \mathbf{a} \) or \( \mathbf{b} = U \mathbf{a} \), depending on the context. The matrix \( H_{ij} \) is hermitian, and the diagonalization process involves the unitary matrix \( U \) to rewrite the Hamiltonian \( \mathcal{H} \) in a more manageable form. The choice between \( U \) and \( U^\dagger \) is context-dependent but does not affect the underlying physics as long as consistency is maintained.

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Niles
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Hi guys

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

<br /> M = \sum_{ij}M_{ij}a_i^\dagger a_j,<br />

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

<br /> s = \sum_{j}U_{ij}a_j,<br />

while in some notes I have read they write it as

<br /> s = \sum_{j}U^\dagger_{ij}a_j.<br />

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

Of course, I could equally well have said put the eigenvectors as normalised columns of the unitary matrix U^\dagger, 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:
<br /> {\cal H} = \sum_{ij}a^\dagger_iH_{ij}a_j = \mathbf a^\dagger\mathsf H \mathbf a<br />
where the matrix H_{ij} is hermitian.
Suppose you find the eigenvectors of H_{ij} and put them as normalised columns in a matrix U_{ij}, which is unitary.
Then a natural way to rewrite the hamiltonian is:
<br /> {\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<br />
where \mathsf D = \mathsf U^\dagger\mathsf H \mathsf U is diagonal, and the vector of boson operators is transformed as \mathbf b = U^\dagger\mathbf a.

Of course, I could equally well have said put the eigenvectors as normalised columns of the unitary matrix U^\dagger, 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

<br /> \mathbf b = U^\dagger\mathbf a<br />

to

<br /> \mathbf b = U\mathbf a<br />

?
 


Yes, U is a unitary matrix, which implies that U^\dagger 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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