Abstract
Isoradial graphs are a natural generalization of regular graphs which give, for many models of statistical mechanics, the right framework for studying models at criticality. In this survey paper, we first explain how isoradial graphs naturally arise in two approaches used by physicists: transfer matrices and conformal field theory. This leads us to the fact that isoradial graphs provide a natural setting for discrete complex analysis, to which we dedicate one section. Then we give an overview of explicit results obtained for different models of statistical mechanics defined on such graphs: the critical dimer model when the underlying graph is bipartite, the 2-dimensional critical Ising model, random walk and spanning trees and the q-state Potts model.
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- 1.
One can define in a similar way a Laplacian on G ∗ by restricting the same operator \(\partial \bar{\partial }\)to G ∗ .
- 2.
The correspondence can be extended to surfaces with boundary by including in addition to the closed contours a certain number of paths connected to boundary.
- 3.
On the boundary, we put only half-rhombi such that only “black” vertices are exposed on the boundary.
- 4.
Also known as the Fortuin–Kasteleyn percolation.
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Boutillier, C., de Tilière, B. (2012). Statistical Mechanics on Isoradial Graphs. In: Deuschel, JD., Gentz, B., König, W., von Renesse, M., Scheutzow, M., Schmock, U. (eds) Probability in Complex Physical Systems. Springer Proceedings in Mathematics, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23811-6_20
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