Going far from degeneracy

Fomin, Fedor V and Golovach, Petr A and Joshi, Saurabh and et al, . (2019) Going far from degeneracy. In: 27th Annual European Symposium on Algorithms, ESA, 9-11 September 2019, Munich/Garching, Germany.

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Abstract

An undirected graph G is d-degenerate if every subgraph of G has a vertex of degree at most d. By the classical theorem of Erdős and Gallai from 1959, every graph of degeneracy d > 1 contains a cycle of length at least d + 1. The proof of Erdős and Gallai is constructive and can be turned into a polynomial time algorithm constructing a cycle of length at least d + 1. But can we decide in polynomial time whether a graph contains a cycle of length at least d + 2? An easy reduction from Hamiltonian Cycle provides a negative answer to this question: Deciding whether a graph has a cycle of length at least d + 2 is NP-complete. Surprisingly, the complexity of the problem changes drastically when the input graph is 2-connected. In this case we prove that deciding whether G contains a cycle of length at least d + k can be done in time 2O(k)|V (G)|O(1). In other words, deciding whether a 2-connected n-vertex G contains a cycle of length at least d + log n can be done in polynomial time. Similar algorithmic results hold for long paths in graphs. We observe that deciding whether a graph has a path of length at least d + 1 is NP-complete. However, we prove that if graph G is connected, then deciding whether G contains a path of length at least d + k can be done in time 2O(k)nO(1). We complement these results by showing that the choice of degeneracy as the “above guarantee parameterization” is optimal in the following sense: For any ε > 0 it is NP-complete to decide whether a connected (2-connected) graph of degeneracy d has a path (cycle) of length at least (1 + ε)d.

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IITH Creators:
IITH CreatorsORCiD
Joshi, SaurabhUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Above guarantee parameterization, Fixed-parameter tractability, Longest cycle, Longest path, Indexed in Scopus
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 25 Nov 2019 06:44
Last Modified: 25 Nov 2019 06:44
URI: http://raiith.iith.ac.in/id/eprint/7054
Publisher URL: http://doi.org/10.4230/LIPIcs.ESA.2019.47
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