Pairwise compatibility graph
In graph theory, a graph is a pairwise compatibility graph (PCG) if there exists a tree and two non-negative real numbers such that each node of has a one-to-one mapping with a leaf node of such that two nodes and are adjacent in if and only if the distance between and are in the interval .[1]
The subclasses of PCG include graphs of at most seven vertices, cycles, forests, complete graphs, interval graphs and ladder graphs.[1] However, there is a graph with eight vertices that is known not to be a PCG.[2]
Relationship to phylogenetics
Pairwise compatibility graphs were first introduced by Paul Kearney, J. Ian Munro and Derek Phillips in the context of phylogeny reconstruction. When sampling from a phylogenetic tree, the task of finding nodes whose path distance lies between given lengths is equivalent to finding a clique in the associated PCG.[3]
Complexity
The computational complexity of recognizing a graph as a PCG is unknown as of 2020.[1] However, the related problem of finding for a graph and a selection of non-edge relations a PCG containing as a subgraph and with none of the edges in is known to be NP-hard.[2]
The task of finding nodes in a tree whose paths distance lies between and is known to be solvable in polynomial time. Therefore, if the tree could be recovered from a PCG in polynomial time, then the clique problem on PCGs would be polynomial too. As of 2020, neither of these complexities is known.[1]
References
- ^ a b c d Rahman, Md Saidur; Ahmed, Shareef (2020). "A survey on pairwise compatibility graphs". AKCE International Journal of Graphs and Combinatorics. 17 (3): 788–795. doi:10.1016/j.akcej.2019.12.011. S2CID 225708614. This article incorporates text available under the CC BY 4.0 license.
- ^ a b Durocher, Stephane; Mondal, Debajyoti; Rahman, Md. Saidur (2015). "On graphs that are not PCGs". Theoretical Computer Science. 571: 78–87. doi:10.1016/j.tcs.2015.01.011. ISSN 0304-3975. S2CID 17290164.
- ^ Kearney, Paul; Munro, J. Ian; Phillips, Derek (2003), Efficient Generation of Uniform Samples from Phylogenetic Trees, Lecture Notes in Computer Science, vol. 2812, Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 177–189, doi:10.1007/978-3-540-39763-2_14, ISBN 978-3-540-20076-5, retrieved 2022-02-13