Removing induced powers of cycles from a graph via fewest edits
Amarja Kathapurkar, Richard Mycroft

TL;DR
This paper advances the understanding of the edit distance function for graphs avoiding induced cycles, specifically determining it for certain cycle lengths and improving bounds for even cycles.
Contribution
It fully determines the edit distance function for cycles of length 10 and 12, and extends results for even cycles and powers of cycles, improving previous bounds.
Findings
Determined $ ext{ed}_{ ext{Forb}(C_{10})}(p)$ and $ ext{ed}_{ ext{Forb}(C_{12})}(p)$.
Improved bounds for even cycles for all $p$ in a specified range.
Extended results to powers of cycles when $(t+1) ext{ divides } h$.
Abstract
What is the minimum proportion of edges which must be added to or removed from a graph of density to eliminate all induced cycles of length ? The maximum of this quantity over all graphs of density is measured by the edit distance function, , a function which provides a natural metric between graphs and hereditary properties. Martin determined for all when and determined for . Peck determined for all for odd cycles, and for for even cycles. In this paper, we fully determine the edit distance function for and . Furthermore, we improve on the result of Peck for even cycles, by determining …
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
TopicsProtein Structure and Dynamics · Markov Chains and Monte Carlo Methods · Quantum Computing Algorithms and Architecture
