28.02.2014 Aufrufe

Skript / lecture notes - Universität Paderborn

Skript / lecture notes - Universität Paderborn

Skript / lecture notes - Universität Paderborn

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Prof. Dr. Wolf Gero Schmidt<br />

<strong>Universität</strong> <strong>Paderborn</strong>, Lehrstuhl für Theoretische Physik<br />

The approach to solving this problem numerically is essentially:<br />

• Guess a set of single particle states, ϕ i .<br />

• Compute the Hartree potential, V H , for each of the particles using the states guessed<br />

above.<br />

• Solve the single-particle (Hartree) equations for the states using V H .<br />

• If the states obtained are the same as the states entering V H , you are done.<br />

• If the states obtained are different than the states entering V H , use these as a new<br />

guess at the states.<br />

• Repeat until convergence (solutions = guesses).<br />

There are some subtleties in the process. The most important is that after solving for<br />

the single particle states, the new guess at the states is a mixture of the old guess from<br />

and the new solutions. If one uses the new states as the guesses, wild oscillations in the<br />

numerics often occur. Of course, the solution to the Hartree equation is not exact. The<br />

approximation used is that the solution to the problem can be written as a product of<br />

single particle states. This is the usual variational simplification, where the region of<br />

Hilbert space considered is limited by some guess as to the form of the states. Better<br />

solutions to the N−particle problem involve linear combinations of these Hartree-like<br />

basis states. This will be discussed in the next paragraph.<br />

4.4 Hartree-Fock-Methode<br />

Hartree-Fock Method<br />

Hartree-Verfahren: Hartree 〈 method 〉<br />

Minimieren Minimize Ψ H |Ĥ|Ψ H bez. with respect to |Ψ H 〉<br />

Problem: Raum der Funktion |Ψ H 〉, die zur Minimierung benutzt wurde, enthält die<br />

”wahre” WF gar nicht! However, the region of the Hilbert space that is considered in the<br />

minimization does necessarily not contain the ”true” solution!<br />

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