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  1. Home > Articles & Issues >
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  3. Destroying Bicolored ...
Article

Destroying Bicolored $P_3$s by Deleting Few Edges

Niels Grüttemeier, Christian Komusiewicz ORCID, Jannik Schestag, Frank Sommer ORCID
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Submitted on
February 17, 2020
Accepted on
May 7, 2021
Published on
June 8, 2021
Last modified on
March 31, 2025
Volume 23
vol. 23:1
Graph Theory
DOI
10.46298/dmtcs.6108
License
Attribution 4.0 International (CC BY 4.0)
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742
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Destroying Bicolored $P_3$s by Deleting Few Edges

Niels Grüttemeier, Christian Komusiewicz ORCID, Jannik Schestag, Frank Sommer ORCID
Abstract
We introduce and study the Bicolored $P_3$ Deletion problem defined as follows. The input is a graph $G=(V,E)$ where the edge set $E$ is partitioned into a set $E_r$ of red edges and a set $E_b$ of blue edges. The question is whether we can delete at most $k$ edges such that $G$ does not contain a bicolored $P_3$ as an induced subgraph. Here, a bicolored $P_3$ is a path on three vertices with one blue and one red edge. We show that Bicolored $P_3$ Deletion is NP-hard and cannot be solved in $2^{o(|V|+|E|)}$ time on bounded-degree graphs if the ETH is true. Then, we show that Bicolored $P_3$ Deletion is polynomial-time solvable when $G$ does not contain a bicolored $K_3$, that is, a triangle with edges of both colors. Moreover, we provide a polynomial-time algorithm for the case that $G$ contains no blue $P_3$, red $P_3$, blue $K_3$, and red $K_3$. Finally, we show that Bicolored $P_3$ Deletion can be solved in $ O(1.84^k\cdot |V| \cdot |E|)$ time and that it admits a kernel with $ O(k\Delta\min(k,\Delta))$ vertices, where $\Delta$ is the maximum degree of $G$. Comment: 25 pages
Keywords
  • Computer Science - Data Structures and Algorithms
  • Computer Science - Discrete Mathematics
  • Mathematics - Combinatorics
Mathematics Subject Classification 2020
  • 05C15 - Coloring of graphs and hypergraphs
  • 05C75 - Structural characterization of families of graphs
  • 05C85 - Graph algorithms (graph-theoretic aspects)
  • 68Q17 - Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.)
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