Tight Running Time Lower Bounds for Vertex Deletion Problems
Christian Komusiewicz

TL;DR
This paper establishes tight exponential time lower bounds for the Vertex Deletion problem across various graph classes and conditions, showing it cannot be solved faster than certain exponential thresholds under ETH.
Contribution
It adapts classical NP-hardness constructions to prove tight ETH-based lower bounds and provides a detailed complexity dichotomy for different graph classes and parameters.
Findings
No $2^{o(n)}$-time algorithm for $ ext{Pi}$-Vertex Deletion.
No $2^{o(n+m)}$-time algorithm if $ ext{Pi}$ contains all independent sets.
Certain cases allow algorithms with $2^{O( ext{sqrt}(m))}$ or $2^{o(m)}$ time.
Abstract
For a graph class , the -Vertex Deletion problem has as input an undirected graph and an integer and asks whether there is a set of at most vertices that can be deleted from such that the resulting graph is a member of . By a classic result of Lewis and Yannakakis [J. Comput. Syst. Sci. '80], -Vertex Deletion is NP-hard for all hereditary properties . We adapt the original NP-hardness construction to show that under the Exponential Time Hypothesis (ETH) tight complexity results can be obtained. We show that -Vertex Deletion does not admit a -time algorithm where is the number of vertices in . We also obtain a dichotomy for running time bounds that include the number of edges in the input graph: On the one hand, if contains all independent sets, then there is no -time algorithm for -Vertex…
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.
