
TL;DR
This paper introduces the $ ho$-capacity, a new graph capacity measure extending Shannon capacity, with bounds, properties under graph operations, and structural insights, motivated by zero-error broadcasting.
Contribution
It defines the $ ho$-capacity, derives bounds including a Lovász-type bound for regular graphs, and explores its behavior under graph operations and structure.
Findings
Derived upper and lower bounds on $ ho$-capacity.
Established a Lovász-type upper bound for regular graphs.
Analyzed the effect of graph operations on $ ho$-capacity.
Abstract
Motivated by the problem of zero-error broadcasting, we introduce a new notion of graph capacity, termed -capacity, that generalizes the Shannon capacity of a graph. We derive upper and lower bounds on the -capacity of arbitrary graphs, and provide a Lov\'asz-type upper bound for regular graphs. We study the behavior of the -capacity under two graph operations: the strong product and the disjoint union. Finally, we investigate the connection between the structure of a graph and its -capacity.
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.
