{"id":{"repo_id":"york","oai_identifier":"oai:yorkspace.library.yorku.ca:10315/41284"},"canonical_url":"https://search.dev.ndltd.org/etd/york/oai:yorkspace.library.yorku.ca:10315/41284","repository":{"repo_id":"york","name":"York University","base_url":"https://yorkspace.library.yorku.ca/oai/request"},"display":{"title":"Exact Solutions to Lattice Models of Polymer Adsorption","abstract":"Entropy calculations are important in determining the physical properties of a polymeric system. A classical method of modeling polymers is with self-avoiding walks, and entropy may be determined by counting the total number of weighted walks. If directed walks are used, recurrences may be formed and solved to study a variety of physical properties exactly. One solution method is to solve the recurrences with generating functions. Additionally, we may attempt to derive the partition function of the model, which explicitly provides the walk entropy per length. In this thesis, the solution to a variety of polymer models of adsorption are derived with generating functions. The partition functions of these models are then extracted when possible through combinatorial convolution identities or by solving their partial difference equations on the lattice.","abstract_html":"Entropy calculations are important in determining the physical properties of a polymeric system. A classical method of modeling polymers is with self-avoiding walks, and entropy may be determined by counting the total number of weighted walks. If directed walks are used, recurrences may be formed and solved to study a variety of physical properties exactly. One solution method is to solve the recurrences with generating functions. Additionally, we may attempt to derive the partition function of the model, which explicitly provides the walk entropy per length. In this thesis, the solution to a variety of polymer models of adsorption are derived with generating functions. The partition functions of these models are then extracted when possible through combinatorial convolution identities or by solving their partial difference equations on the lattice.","abstract_has_math":false,"creators":["Pierce, Colin Brandon"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Janse van Rensburg, Esaias J."],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-08-04","date_published":"2023-08-04","updated_at":"2026-07-24T06:33:51Z","subjects":["Applied mathematics","Mathematics"],"languages":["en"],"rights":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10315/41284","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Janse van Rensburg, Esaias J."]},{"key":"dc:creator","label":"Author","values":["Pierce, Colin Brandon"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-08-04T15:03:41Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-08-04T15:03:41Z"]},{"key":"dc:date.issued","label":"Date","values":["2023-08-04"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Applied mathematics","Mathematics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10315/41284"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Entropy calculations are important in determining the physical properties of a polymeric system. A classical method of modeling polymers is with self-avoiding walks, and entropy may be determined by counting the total number of weighted walks. If directed walks are used, recurrences may be formed and solved to study a variety of physical properties exactly. One solution method is to solve the recurrences with generating functions. Additionally, we may attempt to derive the partition function of the model, which explicitly provides the walk entropy per length. In this thesis, the solution to a variety of polymer models of adsorption are derived with generating functions. The partition functions of these models are then extracted when possible through combinatorial convolution identities or by solving their partial difference equations on the lattice."]},{"key":"dc:title","label":"Title","values":["Exact Solutions to Lattice Models of Polymer Adsorption"]}]}],"canonical_facts":{"dc:contributor.advisor":["Janse van Rensburg, Esaias J."],"dc:creator":["Pierce, Colin Brandon"],"dc:date.accessioned":["2023-08-04T15:03:41Z"],"dc:date.available":["2023-08-04T15:03:41Z"],"dc:date.issued":["2023-08-04"],"dc:description.abstract":["Entropy calculations are important in determining the physical properties of a polymeric system. A classical method of modeling polymers is with self-avoiding walks, and entropy may be determined by counting the total number of weighted walks. If directed walks are used, recurrences may be formed and solved to study a variety of physical properties exactly. One solution method is to solve the recurrences with generating functions. Additionally, we may attempt to derive the partition function of the model, which explicitly provides the walk entropy per length. In this thesis, the solution to a variety of polymer models of adsorption are derived with generating functions. The partition functions of these models are then extracted when possible through combinatorial convolution identities or by solving their partial difference equations on the lattice."],"dc:identifier.uri":["https://hdl.handle.net/10315/41284"],"dc:language":["en"],"dc:rights":["Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests."],"dc:subject":["Applied mathematics","Mathematics"],"dc:title":["Exact Solutions to Lattice Models of Polymer Adsorption"],"dc:type":["Electronic Thesis or Dissertation"]},"updated_at":"2026-07-24T06:33:51Z"}