Renormalization of crossing probabilities in the dilute Potts model
Pete Rigas

TL;DR
This paper extends novel renormalization techniques for crossing probabilities from the Random-Cluster model to the dilute Potts model, analyzing its behavior through a quadrichotomy at different phases using a spin representation derived from the loop $O(n)$ model.
Contribution
It introduces and studies new renormalization arguments for crossing probabilities in the dilute Potts model, expanding their applicability beyond self-dual models.
Findings
Characterizes four possible behaviors of the dilute Potts model at different phases.
Adapts renormalization methods to non-self-dual models.
Connects high-temperature expansion of loop $O(n)$ measure to dilute Potts model.
Abstract
A recent paper due to Duminil-Copin and Tassion from introduces a novel argument for obtaining estimates on horizontal crossing probabilities of the Random-Cluster model, in which a range of four possible behaviors, through a quadrichotomy, is established. Novel renormalization arguments for crossing probabilities that the authors propose are studied in other models of interest that are not self-dual, specifically for the dilute Potts model. The probability measure of this model, through a suitably defined spin representation, is obtained from the high-temperature expansion of the loop measure. The dilute Potts model was originally introduced in by Nienhuis and is another model whose possible range of behaviors can be analyzed through a quadrichotomy; the range of four possible behaviors of the model can be respectively characterized at subcriticality, or…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Random Matrices and Applications
