Automorphisms and isomorphisms of maps in linear time

Author:

Kawarabayashi Ken-ichi1ORCID,Mohar Bojan2ORCID,Nedela Roman3ORCID,Zeman Peter4ORCID

Affiliation:

1. National Institute of Informatics, 2-1-2, Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan

2. Department of Mathematics, Simon Fraser University, Burnaby, BC V5A 1S6

3. Department of Mathematics, Faculty of Applied Sciences, Univeristy of West Bohemia, Pilsen, Czech Republic and Mathematical Institute, Slovak Academy of Sciences, Bratislava

4. Technical University of Denmark, Denmark

Abstract

A map is a \(2\) -cell decomposition of a closed compact surface, i.e., an embedding of a graph such that every face is homeomorphic to an open disc. An automorphism of a map can be thought of as a permutation of the vertices which preserves the vertex-edge-face incidences in the embedding. Every automorphism of a map determines an angle-preserving homeomorphism of the surface. While it is conjectured that there is no “truly subquadratic” algorithm for testing map isomorphism for unconstrained genus, we present a linear-time algorithm for computing the generators of the automorphism group of a map on an orientable surface of genus \(g\neq 0\) , parametrized by the genus \(g\) . A map on an orientable surface is uniform if the cyclic vector of sizes of faces incident to a vertex \(v\) does not depend on the choice of \(v\) . The algorithm applies a sequence of local reductions and produces a uniform map, while preserving the automorphism group. The automorphism group of the original map can be reconstructed from the automorphism group of the associated uniform map in linear time. We also extend the algorithm to non-orientable surfaces by making use of the antipodal double-cover. The algorithm can be used to solve the map isomorphism problem between maps (orientable or non-orientable) of bounded negative Euler characteristic.

Publisher

Association for Computing Machinery (ACM)

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4. L. Babai. Graph isomorphism in quasipolynomial time. In Proceedings of the forty-eighth annual ACM symposium on Theory of Computing, pages 684–697. ACM, 2016.

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