Understanding Liouville Space Super-Operators: A Simple Computation?

  • Thread starter Einstein Mcfly
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In summary: Thus, the super-operators can be expressed as matrices in the expanded space. In summary, the paper discusses a method to move from a regular NxN dimensional Hilbert space to an N^2 X N^2 dimensional Liouville space and uses straightforward computation to find the super-operators involved in this transformation. These super-operators can be expressed as matrices by taking a direct product with the dyads over the Hilbert space, which serves as a basis for the Liouville space.
  • #1
Einstein Mcfly
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"straightforward computation..."

Hello. I am reading a paper that discusses moving from a regular [tex] NxN [/tex] dimensional Hilbert space into and [tex]N^2 X N^2[/tex] dimensional Liouville space. The density matrix can be re-written as a [tex]1 X N^2 [/tex]vector by stacking the rows and the Liouvile equation can be re-written as [tex]N^2 X N^2 [/tex]"super-operators" acting on the new density-matrix "vector". The actual form of this super-operator is given by "a straightforward computation" where the field free and interaction Hamiltonians are given by
[tex] H_o=\left(\begin{array}{cc}
-hw & 0 \\
0 & hw
\end{array}\right) [/tex]
and
[tex] H_1=\left(\begin{array}{cc}
0 & d1 \\
d1 & 0
\end{array}\right) [/tex]

The Liouville space super operators describing these in the expanded space are:
[tex] L_o=
\left(\begin{array}{cccc}
0 & 0 & 0 & 0 \\
0 & -hw &0 & 0\\
0 & 0 & homework & 0\\
0 & 0 & 0 & 0
\end{array}\right) [/tex]
and

[tex] L_1=
\left(\begin{array}{cccc}
0 & -d1 & d1 & 0 \\
-d1 & 0 & 0 & d1\\
d1 & 0 & 0 & -d1\\
0 & d1 & -d1 & 0
\end{array}\right) [/tex]

It looks like they're takind a direct product with something, but I can't tell with what or why. They make is sound like it's all just a pretty standard way to write a matrix in a larger space, so if anyone recognizes what's going on here, I'd really happy for your help. Thanks in advance.
 
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  • #2
##L_1## looks more like a tenso product than a direct product, since the secondary diagonal isn't empty. Tensor products are also a standard method to extent e.g. the scalar domain.

The dyads over the Hilbert space build a basis for the Liouville space.
 

Related to Understanding Liouville Space Super-Operators: A Simple Computation?

1. What is a straightforward computation?

A straightforward computation is a mathematical calculation that can be easily performed without the use of complex algorithms or advanced techniques. It involves simple arithmetic operations such as addition, subtraction, multiplication, and division.

2. What are some examples of straightforward computations?

Some examples of straightforward computations include calculating the area of a rectangle, finding the average of a set of numbers, and solving basic algebraic equations.

3. How is straightforward computation different from complex computation?

Straightforward computation is typically used for simple and easily solvable problems, while complex computation involves more advanced techniques and algorithms to solve complex problems.

4. What are the benefits of using straightforward computation?

One of the main benefits of using straightforward computation is that it is easy to understand and perform, making it accessible to people with varying levels of mathematical knowledge. It also allows for quick and accurate calculations.

5. Are there any limitations to straightforward computation?

While straightforward computation is useful for solving simple problems, it may not be suitable for more complex or large-scale calculations. In these cases, more advanced techniques and algorithms may be necessary for accurate results.

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