Percolation beyond connectivity

Percolation models are of interest both for the wide range of their physical applications and for the mathematical challenges which they present. The basic model is as follows. Starting from an infinite connected graph such as the hypercubic lattice, each edge is declared 'open' with proba...

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Main Author: Holroyd, A. E.
Published: University of Cambridge 1999
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Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604193
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spelling ndltd-bl.uk-oai-ethos.bl.uk-6041932015-03-20T05:58:36ZPercolation beyond connectivityHolroyd, A. E.1999Percolation models are of interest both for the wide range of their physical applications and for the mathematical challenges which they present. The basic model is as follows. Starting from an infinite connected graph such as the hypercubic lattice, each edge is declared 'open' with probability <I>p</I> or 'closed' otherwise, independently of all others. The standard theory is primarily concerned with the existence (or not) of infinite connected components of the graph of open edges, [2]. Various extensions of the basic model have been studied in detail, [1, 2, 5]. In this work we extend the model in a direction which has received less attention: rather than studying <I>connected</I> components, we consider other graph properties analogous to connectivity. We explore this idea with particular reference to two such properties which have important physical applications, [3, 4]: <I>entanglement</I> and <I>rigidity</I>. Roughly speaking, the meaning of these terms is as follows. A graph in three-dimensional space is entangled if it cannot be 'pulled apart' when the edges are regarded as physical connections made of elastic. A graph is rigid if it cannot be 'deformed' when the edges are regarded as solid rods which can pivot at the vertices. We formalise these intuitive notions for both finite and infinite graphs. In the case of infinite graphs this involves overcoming interesting challenges which are related to the issue of boundary conditions. Having defined entanglement and rigidity formally, we consider entangled and rigid graphs in the percolation model. We prove that (under suitable conditions) there is a genuine phase transition for each, occurring at critical probabilities which differ from the usual critical probability for connectivity percolation. For <I>p</I> below the appropriate critical probability, we explore the size of finite entangled or rigid components. For <I>p</I> greater than the appropriate critical probability we study the question of uniqueness of the infinite entangled or rigid component. We prove several relevant theorems including uniqueness for entanglement for large <I>p</I>, and uniqueness for rigidity for almost all <I>p. </I>530.15University of Cambridgehttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604193Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 530.15
spellingShingle 530.15
Holroyd, A. E.
Percolation beyond connectivity
description Percolation models are of interest both for the wide range of their physical applications and for the mathematical challenges which they present. The basic model is as follows. Starting from an infinite connected graph such as the hypercubic lattice, each edge is declared 'open' with probability <I>p</I> or 'closed' otherwise, independently of all others. The standard theory is primarily concerned with the existence (or not) of infinite connected components of the graph of open edges, [2]. Various extensions of the basic model have been studied in detail, [1, 2, 5]. In this work we extend the model in a direction which has received less attention: rather than studying <I>connected</I> components, we consider other graph properties analogous to connectivity. We explore this idea with particular reference to two such properties which have important physical applications, [3, 4]: <I>entanglement</I> and <I>rigidity</I>. Roughly speaking, the meaning of these terms is as follows. A graph in three-dimensional space is entangled if it cannot be 'pulled apart' when the edges are regarded as physical connections made of elastic. A graph is rigid if it cannot be 'deformed' when the edges are regarded as solid rods which can pivot at the vertices. We formalise these intuitive notions for both finite and infinite graphs. In the case of infinite graphs this involves overcoming interesting challenges which are related to the issue of boundary conditions. Having defined entanglement and rigidity formally, we consider entangled and rigid graphs in the percolation model. We prove that (under suitable conditions) there is a genuine phase transition for each, occurring at critical probabilities which differ from the usual critical probability for connectivity percolation. For <I>p</I> below the appropriate critical probability, we explore the size of finite entangled or rigid components. For <I>p</I> greater than the appropriate critical probability we study the question of uniqueness of the infinite entangled or rigid component. We prove several relevant theorems including uniqueness for entanglement for large <I>p</I>, and uniqueness for rigidity for almost all <I>p. </I>
author Holroyd, A. E.
author_facet Holroyd, A. E.
author_sort Holroyd, A. E.
title Percolation beyond connectivity
title_short Percolation beyond connectivity
title_full Percolation beyond connectivity
title_fullStr Percolation beyond connectivity
title_full_unstemmed Percolation beyond connectivity
title_sort percolation beyond connectivity
publisher University of Cambridge
publishDate 1999
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.604193
work_keys_str_mv AT holroydae percolationbeyondconnectivity
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