On the metric dimension of Grassmann graphs
Robert F. Bailey, Karen Meagher

TL;DR
This paper establishes an upper bound on the metric dimension of Grassmann graphs, showing it equals the number of 1-dimensional subspaces of the underlying vector space, which aids in understanding their structural properties.
Contribution
The paper provides a constructive upper bound on the metric dimension of Grassmann graphs, linking it to the count of 1-dimensional subspaces in the vector space.
Findings
Upper bound on metric dimension equals the number of 1-dimensional subspaces
Constructive method for determining the bound
Enhances understanding of Grassmann graph structure
Abstract
The {\em metric dimension} of a graph is the least number of vertices in a set with the property that the list of distances from any vertex to those in the set uniquely identifies that vertex. We consider the Grassmann graph (whose vertices are the -subspaces of , and are adjacent if they intersect in a -subspace) for , and find a constructive upper bound on its metric dimension. Our bound is equal to the number of 1-dimensional subspaces of .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph Labeling and Dimension Problems · graph theory and CDMA systems · Advanced Graph Theory Research
