Revisiting Path Contraction and Cycle Contraction

March 10, 2024 Β· Declared Dead Β· πŸ› International Workshop on Graph-Theoretic Concepts in Computer Science

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Authors R. Krithika, V. K. Kutty Malu, Prafullkumar Tale arXiv ID 2403.06290 Category cs.DS: Data Structures & Algorithms Citations 1 Venue International Workshop on Graph-Theoretic Concepts in Computer Science Last Checked 4 months ago
Abstract
The Path Contraction and Cycle Contraction problems take as input an undirected graph $G$ with $n$ vertices, $m$ edges and an integer $k$ and determine whether one can obtain a path or a cycle, respectively, by performing at most $k$ edge contractions in $G$. We revisit these NP-complete problems and prove the following results. Path Contraction admits an algorithm running in $\mathcal{O}^*(2^{k})$ time. This improves over the current algorithm known for the problem [Algorithmica 2014]. Cycle Contraction admits an algorithm running in $\mathcal{O}^*((2 + Ξ΅_{\ell})^k)$ time where $0 < Ξ΅_{\ell} \leq 0.5509$ is inversely proportional to $\ell = n - k$. Central to these results is an algorithm for a general variant of Path Contraction, namely, Path Contraction With Constrained Ends. We also give an $\mathcal{O}^*(2.5191^n)$-time algorithm to solve the optimization version of Cycle Contraction. Next, we turn our attention to restricted graph classes and show the following results. Path Contraction on planar graphs admits a polynomial-time algorithm. Path Contraction on chordal graphs does not admit an algorithm running in time $\mathcal{O}(n^{2-Ξ΅} \cdot 2^{o(tw)})$ for any $Ξ΅> 0$, unless the Orthogonal Vectors Conjecture fails. Here, $tw$ is the treewidth of the input graph. The second result complements the $\mathcal{O}(nm)$-time, i.e., $\mathcal{O}(n^2 \cdot tw)$-time, algorithm known for the problem [Discret. Appl. Math. 2014].
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