Operator which is written in k space

In summary, the conversation is discussing an operator written in k space and the question of whether or not it is diagonalized in the language of linear algebra. The operator is a sum of operators with no crossterms, leading to the question of whether or not it is represented in a basis of eigenstates. Further clarification is needed on the relationship between the operators and the basis of eigenstates. It is determined that the operator is diagonalized because it is essentially just a number operator.
  • #1
aaaa202
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I have an operator which is written in k space as something like:

H = Ʃkckak
where a_k and c_k are operators. So it is a sum of operators of different k but there are no crossterms as you can see. Being no crossterms does this mean that the operator is diagonalized in the language of linear algebra. That a matrix is diagonalized means that it is represented in a basis of eigenstates but this is an expansion of an operator so I am not sure.
Edit; any operator is of course an expansion in operators related to the basis of eigenstates {e_k} by the equation:
Ʃi,jle_i><e_jl a_ij
Now to be diagonalized would mean the vanishing of all matrix elements where i≠j. Can this be said about the given Hamiltonian above. How do I know how the c_k and a_k are related to my eigenbasis.
 
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  • #2
aaaa202 said:
I have an operator which is written in k space as something like:

H = Ʃkckak
where a_k and c_k are operators. So it is a sum of operators of different k but there are no crossterms as you can see. Being no crossterms does this mean that the operator is diagonalized in the language of linear algebra. That a matrix is diagonalized means that it is represented in a basis of eigenstates but this is an expansion of an operator so I am not sure.

What's the actual question? Your sum looks like the product of two diagonal matrices C and A, where ci is an entry on the diagonal of matrix C and ai is an entry on the diagonal of matrix A. As it seems to me, C and A are the operators, but the entries in the matrices aren't.

Without knowing what the entries in the matrices are, it's hard to say what H is. Otherwise, your sum looks like some inner product to me. More information would be helpful.
 
  • #3
The a_k and c_k are operators as stated? So its a sum of operators. The a_k is the creation operator for the momentum state lk> and c_k is the anihillation operator for the same state.
 
  • #4
Wait I know now. It is of course because the product a_k c_k is just the number operator.
 
  • #5
This thread is probably more appropriate in the Adv. Physics section, so I'm moving it.
 

FAQ: Operator which is written in k space

What is an operator in k space?

An operator in k space is a mathematical operation that is applied to a function or data that is represented in k space, which is the Fourier transform of the function or data in real space.

How is an operator written in k space?

An operator in k space is typically written using the Fourier transform notation, such as F[ƒ(x)] or F[g(x,y)]. The operator is then applied to the function or data that is represented in k space.

What is the advantage of using operators in k space?

The advantage of using operators in k space is that it allows for easier manipulation and analysis of functions or data that may be complex or difficult to work with in real space. The use of Fourier transforms and operators in k space is especially useful in signal and image processing applications.

Can operators in k space be applied to any type of function or data?

Yes, operators in k space can be applied to any function or data that can be represented in k space using the Fourier transform. This includes continuous and discrete functions, as well as real and complex data.

What other applications use operators in k space?

Operators in k space have a wide range of applications, including in physics, engineering, mathematics, and computer science. They are commonly used in signal and image processing, quantum mechanics, and numerical analysis.

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