1978
DOI: 10.1071/ph780515
|View full text |Cite
|
Sign up to set email alerts
|

Some Algebraic Techniques for obtaining Low-temperature Series Expansions

Abstract: It is shown that low-temperature series expansions for lattice models in statistical mechanics can be obtained from a consideration of only connected strong subgraphs of the lattice. This general result is used as the basis of a linked-cluster form of the method of partial generating functions and also as the basis for extending the finite lattice method of series expansion to low-temperature series.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

1982
1982
1998
1998

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 36 publications
(3 citation statements)
references
References 4 publications
0
3
0
Order By: Relevance
“…In the following we describe the method used to derive the series expansions [35,36]. The free energy can be derived from the ferromagnetic part Z (0) of the partition function.…”
Section: Critical Exponentsmentioning
confidence: 99%
“…In the following we describe the method used to derive the series expansions [35,36]. The free energy can be derived from the ferromagnetic part Z (0) of the partition function.…”
Section: Critical Exponentsmentioning
confidence: 99%
“…The approach here differs in details but is similar in essence to the combining of partition functions in the finite lattice method of Refs. [2] and [3].…”
Section: Cancelling Loopsmentioning
confidence: 99%
“…The method is based on a recursive transfer matrix procedure of Binder [1] for the explicit solution of discrete models on small lattices. Enting [2] discussed how to combine such solutions on small lattices to obtain low temperature series. Guttmann and Enting have pushed this finite lattice method to obtain rather high order low temperature series for the three dimensional Ising model [3].…”
Section: Introductionmentioning
confidence: 99%