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Multivariate finite operator calculus applied to counting ballot paths containing patterns [electronic resource]

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Date Issued:
2011
Summary:
Counting lattice paths where the number of occurrences of a given pattern is monitored requires a careful analysis of the pattern. Not the length, but the characteristics of the pattern are responsible for the difficulties in finding explicit solutions. Certain features, like overlap and difference in number of ! and " steps determine the recursion formula. In the case of ballot paths, that is paths the stay weakly above the line y = x, the solutions to the recursions are typically polynomial sequences. The objects of Finite Operator Calculus are polynomial sequences, thus the theory can be used to solve the recursions. The theory of Finite Operator Calculus is strengthened and extended to the multivariate setting in order to obtain solutions, and to prepare for future applications.
Title: Multivariate finite operator calculus applied to counting ballot paths containing patterns [electronic resource].
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Name(s): Sullivan, Shaun
Charles E. Schmidt College of Science
Department of Mathematical Sciences
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Issued: 2011
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: vii, 91 p. : ill.
Language(s): English
Summary: Counting lattice paths where the number of occurrences of a given pattern is monitored requires a careful analysis of the pattern. Not the length, but the characteristics of the pattern are responsible for the difficulties in finding explicit solutions. Certain features, like overlap and difference in number of ! and " steps determine the recursion formula. In the case of ballot paths, that is paths the stay weakly above the line y = x, the solutions to the recursions are typically polynomial sequences. The objects of Finite Operator Calculus are polynomial sequences, thus the theory can be used to solve the recursions. The theory of Finite Operator Calculus is strengthened and extended to the multivariate setting in order to obtain solutions, and to prepare for future applications.
Identifier: 746324324 (oclc), 3174076 (digitool), FADT3174076 (IID), fau:3673 (fedora)
Note(s): by Shaun Sullivan.
Thesis (Ph.D.)--Florida Atlantic University, 2011.
Includes bibliography.
Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.
Subject(s): Combinatorial probabilities
Lattice paths
Combinatorial enumeration problems
Generating functions
Persistent Link to This Record: http://purl.flvc.org/FAU/3174076
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU