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Using the Eigenvalue Partition to Compute the Automorphism Group

초록

영어

To solve the automorphism group of a graph is a fundamental problem in graph theory. Moreover, it usually is an essential process for graph isomorphism testing. At present, because existing algorithms ordinarily cannot efficiently compute the automorphism group of a graph, ones cannot entirely resolve the graph isomorphism problem. To calculate the automorphism group of a weighted graph, first, briefly review the history of automorphism. Second, introduce the concept of eigenvalue partition. Third, using algebraic methods, examine not only the relationships between the diagonal form of an adjacency matrix and its eigenvalues and eigenvectors, but also the relationships between its eigenvalues and eigenvectors and the automorphism group. Furthermore, prove Theorem 2 to 8. In addition, propose Conjecture 1 and three open problems. By these theorems, present a novel method to resolve the automorphism group of a weighted graph. If a graph has no duplicate eigenvalues and Conjecture 1 is true, it can determine the automorphism group of a weighted graph in polynomial time by the method. Although this method has certain limitations and needs improvements, it is theoretically a necessary complement to solve the automorphism group. Finally, it shows the close relationships that exist between an orthogonal matrix and a permutation matrix, also an orthogonal matrix and an automorphism.

목차

Abstract
 1. Introduction
  1.1. The Automorphism Group of a Graph
  1.2. The Problems in the Automorphism Research
  1.3. The Contribution of the Article
 2. Terminology and Notation
 3. Basic Principle
 4. For Example Using Eigenvalue Partition
 5. Complexity Analysis
 6. Three Open Problems
 7. Conclusions
 Acknowledgements
 References

저자정보

  • HAO Jian-Qiang State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China, School of Computer Science and Information Engineering, Beijing Technology and Business University, 100048, China
  • GONG Yun-Zhan State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China
  • LIU Hong-Zhi School of Computer Science and Information Engineering, Beijing Technology and Business University, 100048, China

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