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Publication Date
2015
Document Type
Honors Project
Department
Computer Science
Keywords
Graph theory, Sparse matrices, Graph algorithms, Rigidity (Geometry), Sparse graphs, Sparsity, (3, 6) sparse graphs, Pebble games
Abstract
A skeletal framework is an embedding of a nite graph into d-sapce. A nite graph can be represented as G = (V;E), where V is a set of vertices and E a set of edges. The rigidity of a framework in d-dimensions can be analyzed by studying a combinatorial property of its graphical representation, namely its sparsity. A class of sparse graphs { (3; 6)-sparse graphs { describes the rigidity of frameworks in three dimensions. All frameworks in three-dimensions have a necessary condition for rigidity { their graphs must be maximally (3; 6)-sparse. However, this is not a su cient condition and not all maximally (3; 6)-sparse graphs represent a framework that is rigid in three-dimensions. The aim of this paper is to study the fundamental problems in (3; 6)-sparsity in relation to matroidal sparse graphs, a class of sparse graphs for which much work already exists in the literature. We propose a variant of the Pebble Game algorithm to answer the (3; 6) decision problem{ decide if a given graph is (3; 6)-sparse or not { and demonstrate why the Pebble Game algorithm cannot address the other problems in (3; 6)-sparsity. We also describe inductive methods for generating di erent classes of sparse graphs.
Language
English
Recommended Citation
Bhattarai, Pratistha, "Methods for generating and identifying (3,6) sparse graphs" (2015). Honors Project, Smith College, Northampton, MA.
https://scholarworks.smith.edu/theses/1550
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Comments
32 pages : color illustrations. Honors project-Smith College, 2015. Includes bibliographical references (page 32)