Branching random walk and probability problems from physics and biology
This thesis studies connections between disorder type in tree polymers and the branching random walk and presents an application to swarm site-selection. Chapter two extends results on tree polymers in the infinite volume limit to critical strong disorder. Almost sure (a.s.) convergence in the inf...
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ndltd-ORGSU-oai-ir.library.oregonstate.edu-1957-302682012-07-03T14:37:34ZBranching random walk and probability problems from physics and biologyJohnson, Torrey (Torrey Allen)tree polymerdisorderbranching random walkcriticalsite-selectionecologyRandom walks (Mathematics)Bees -- Swarming -- Mathematical modelsThis thesis studies connections between disorder type in tree polymers and the branching random walk and presents an application to swarm site-selection. Chapter two extends results on tree polymers in the infinite volume limit to critical strong disorder. Almost sure (a.s.) convergence in the infinite volume limit is obtained for weak disorder by standard theory on multiplicative cascades or the branching random walk. Chapter three establishes results for a simple branching random walk in connection with a related tree polymer. A central limit theorem (CLT) is shown to hold regardless of polymer disorder type, and a.s. connectivity of the support is established in the asymmetric case. Chapter four contains a model for site-selection in honeybee swarms. Simulations demonstrate a trade-off between speed and accuracy, and strongly suggest that increasing the quorum threshold at which the process terminates usually improves decision performance.Graduation date: 2013Waymire, Edward C.2012-06-27T20:47:14Z2012-06-27T20:47:14Z2012-06-072012-06-07Thesis/Dissertationhttp://hdl.handle.net/1957/30268en_US |
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en_US |
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tree polymer disorder branching random walk critical site-selection ecology Random walks (Mathematics) Bees -- Swarming -- Mathematical models |
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tree polymer disorder branching random walk critical site-selection ecology Random walks (Mathematics) Bees -- Swarming -- Mathematical models Johnson, Torrey (Torrey Allen) Branching random walk and probability problems from physics and biology |
description |
This thesis studies connections between disorder type in tree polymers and the branching random walk and presents an application to swarm site-selection. Chapter two extends results on tree polymers in the infinite volume limit to critical strong disorder. Almost sure (a.s.) convergence in the infinite volume limit is obtained for weak disorder by standard theory on multiplicative cascades or the branching random walk. Chapter three establishes results for a simple branching random walk in connection with a related tree polymer. A central limit theorem (CLT) is shown to hold regardless of polymer disorder type, and a.s. connectivity of the support is established in the asymmetric case. Chapter four contains a model for site-selection in honeybee swarms. Simulations demonstrate a trade-off between speed and accuracy, and strongly suggest that increasing the quorum threshold at which the process terminates usually improves decision performance. === Graduation date: 2013 |
author2 |
Waymire, Edward C. |
author_facet |
Waymire, Edward C. Johnson, Torrey (Torrey Allen) |
author |
Johnson, Torrey (Torrey Allen) |
author_sort |
Johnson, Torrey (Torrey Allen) |
title |
Branching random walk and probability problems from physics and biology |
title_short |
Branching random walk and probability problems from physics and biology |
title_full |
Branching random walk and probability problems from physics and biology |
title_fullStr |
Branching random walk and probability problems from physics and biology |
title_full_unstemmed |
Branching random walk and probability problems from physics and biology |
title_sort |
branching random walk and probability problems from physics and biology |
publishDate |
2012 |
url |
http://hdl.handle.net/1957/30268 |
work_keys_str_mv |
AT johnsontorreytorreyallen branchingrandomwalkandprobabilityproblemsfromphysicsandbiology |
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1716392510549393408 |