The random cluster model on the tree : Markov chains, random connections and boundary conditions
Finch, Sam (2010) The random cluster model on the tree : Markov chains, random connections and boundary conditions. PhD thesis, University of Warwick.Full text not available from this repository.
Official URL: http://webcat.warwick.ac.uk/record=b2569202~S1
The Fortuin-Kasteleyn random cluster model was adapted to
the tree by Häggström  who considered a Gibbs specification
corresponding to "wired boundary conditions" on the tree.
Grimmett and Janson  generalized this idea by considering
boundary conditions defined by equivalence relations on the set
of rays of the tree.
In this thesis we continue this project by defining a new object,
a "random connection;" a type of random equivalence relation
that allows us to redefine what is meant by a cluster of edges on
the tree. Our definition is general enough to include Grimmett
and Janson's boundary conditions. The random connection approach
allows us to reconnect the random cluster model on the
tree with Bernoulli bond percolation and we define two critical
probabilities for bond percolation on a tree associated with each
random connection that allow us to identify three behavioral
phases of the associated random cluster model.
We consider some examples of random connections defined by
equivalence relations, including the "open" boundary conditions
described in  where we are able to describe the behaviour of
the random cluster model exactly and "Mandelbrot" bondary
conditions described by a map from the boundary of a tree to
the unit square that defines fractal percolation. In addition we
adapt work of Zachary  to the wired random cluster model
on a tree so as to prove a conjecture of Häggström concerning
uniqueness of the Gibbs measure for large bond strengths.
|Item Type:||Thesis or Dissertation (PhD)|
|Subjects:||Q Science > QA Mathematics|
|Library of Congress Subject Headings (LCSH):||Trees (Graph theory), Boundary value problems, Markov processes|
|Official Date:||September 2010|
|Institution:||University of Warwick|
|Theses Department:||Department of Statistics|
|Extent:||iv, 189 leaves : ill., charts|
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