Empirical Inference
Thesis
2001
Variationsverfahren zur Untersuchung von Grundzustandseigenschaften des Ein-Band Hubbard-Modells
PostScript
Empirical Inference
Using different modifications of a new variational approach, statical groundstate properties of the one-band Hubbard model such as energy and staggered magnetisation are calculated. By taking into account additional fluctuations, the method ist gradually improved so that a very good description of the energy in one and two dimensions can be achieved. After a detailed discussion of the application in one dimension, extensions for two dimensions are introduced. By use of a modified version of the variational ansatz in particular a description of the quantum phase transition for the magnetisation should be possible.
| Author(s): | Eichhorn, J. |
| Links: | |
| Year: | 2001 |
| Month: | May |
| Day: | 15 |
| BibTeX Type: | Thesis (thesis) |
| Degree Type: | Diplom |
| Digital: | 0 |
| Electronic Archiving: | grant_archive |
| Institution: | Technische Universität Dresden, Dresden/Germany |
| Language: | de |
| School: | Biologische Kybernetik |
BibTeX
@thesis{4735,
title = {Variationsverfahren zur Untersuchung von
Grundzustandseigenschaften des Ein-Band Hubbard-Modells},
abstract = {Using different modifications of a new variational approach, statical
groundstate properties of the one-band Hubbard model such as energy
and staggered magnetisation are calculated. By taking into account
additional fluctuations, the method ist gradually improved so that a
very good description of the energy in one and two dimensions can be
achieved. After a detailed discussion of the application in one dimension, extensions for two dimensions are introduced. By use of a modified
version of the variational ansatz in particular a description of the
quantum phase transition for the magnetisation should be possible.},
degree_type = {Diplom},
institution = {Technische Universität Dresden, Dresden/Germany},
school = {Biologische Kybernetik},
month = may,
year = {2001},
author = {Eichhorn, J.},
month_numeric = {5}
}
