q-linear approximants: Scaling functions for polygon models
arXiv:cond-mat/0109159 · doi:10.1088/0305-4470/34/23/301
Abstract
The perimeter and area generating functions of exactly solvable polygon models satisfy q-functional equations, where q is the area variable. The behaviour in the vicinity of the point where the perimeter generating function diverges can often be described by a scaling function. We develop the method of q-linear approximants in order to extract the approximate scaling behaviour of polygon models when an exact solution is not known. We test the validity of our method by approximating exactly solvable q-linear polygon models. This leads to scaling functions for a number of q-linear polygon models, notably generalized rectangles, Ferrers diagrams, and stacks.
17 pages, 3 figures
Cited by in corpus (7)
- Scaling behaviour of two-dimensional polygon models
- Scaling function and universal amplitude combinations for self-avoiding polygons
- Scaling function for self-avoiding polygons
- Square lattice self-avoiding walks and biased differential approximants
- Area distribution and scaling function for punctured polygons
- Limit distributions and scaling functions
- On the joint distribution of the area and the number of peaks for Bernoulli excursions