English

Bidirectional Collision Detection and Faster Deterministic Isomorphism Testing

Data Structures and Algorithms 2013-05-17 v2 Computational Complexity

Abstract

In this work, we introduce bidirectional collision detection --- a new algorithmic tool that applies to the collision problems that arise in many isomorphism problems. For the group isomorphism problem, we show that bidirectional collision detection yields a deterministic n^((1 / 2) log n + O(1)) time algorithm whereas previously the n^(log n + O(1)) generator-enumeration algorithm was the best result for several decades. For the hard special case of solvable groups, we combine bidirectional collision detection with methods from the author's previous work to obtain a deterministic square-root speedup over the best previous algorithm. We also show a deterministic square-root speedup over the best previous algorithm for testing isomorphism of rings. We can even apply bidirectional collision detection to the graph isomorphism problem to obtain a deterministic T^(1 / sqrt(2)) speedup over the best previous deterministic algorithm. Although the space requirements for our algorithms are greater than those for previous deterministic isomorphism tests, we show time-space tradeoffs that interpolate between the resource requirements of our algorithms and previous work.

Keywords

Cite

@article{arxiv.1304.3935,
  title  = {Bidirectional Collision Detection and Faster Deterministic Isomorphism Testing},
  author = {David J. Rosenbaum},
  journal= {arXiv preprint arXiv:1304.3935},
  year   = {2013}
}

Comments

18 pages. v1 shows the results. v2 makes minor corrections

R2 v1 2026-06-21T23:59:22.935Z