Abstract
A representation of an n-vertex graph G is implicit if it assigns to each vertex of G a binary code of length \(O(\log n)\) so that the adjacency of two vertices is a function of their codes. A necessary condition for a hereditary class \(\mathcal X\) of graphs to admit an implicit representation is that \(\mathcal X\) has at most factorial speed of growth. This condition, however, is not sufficient, as was recently shown in [10]. Several sufficient conditions for the existence of implicit representations deal with boundedness of some parameters, such as degeneracy or clique-width. In the present paper, we analyse more graph parameters and prove a number of new results related to implicit representation and factorial properties.
This work was supported by the Russian Science Foundation Grant No. 21-11-00194.
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Alecu, B., Alekseev, V.E., Atminas, A., Lozin, V., Zamaraev, V. (2022). Graph Parameters, Implicit Representations and Factorial Properties. In: Bazgan, C., Fernau, H. (eds) Combinatorial Algorithms. IWOCA 2022. Lecture Notes in Computer Science, vol 13270. Springer, Cham. https://doi.org/10.1007/978-3-031-06678-8_5
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