Local Orthogonality Dimension
Inon Attias, Ishay Haviv

TL;DR
This paper introduces the local orthogonality dimension as a new graph parameter, explores its properties using topological methods, and demonstrates its relevance to chromatic number and index coding problems.
Contribution
It defines the local orthogonality dimension, establishes bounds using topological techniques, and connects it to chromatic number and index coding, extending previous results.
Findings
Lower bounds on local orthogonality dimension from topological methods
Equality of local orthogonality and chromatic number for complements of line graphs
NP-hardness of computing the local orthogonality dimension
Abstract
An orthogonal representation of a graph over a field is an assignment of a vector to every vertex of , such that for every vertex and whenever and are adjacent in . The locality of the orthogonal representation is the largest dimension of a subspace spanned by the vectors associated with a closed neighborhood in the graph. We introduce a novel graph parameter, called the local orthogonality dimension, defined for a given graph and a given field , as the smallest possible locality of an orthogonal representation of over . We investigate the usefulness of topological methods for proving lower bounds on the local orthogonality dimension. We prove that graphs for which topological methods imply a lower bound of on their…
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Taxonomy
TopicsGraph Labeling and Dimension Problems · Topological and Geometric Data Analysis · Digital Image Processing Techniques
