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Deciding finiteness of matrix groups in Las Vegas polynomial time
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Source Symposium on Discrete Algorithms archive
Proceedings of the third annual ACM-SIAM symposium on Discrete algorithms table of contents
Orlando, Florida, United States
Pages: 33 - 40  
Year of Publication: 1992
ISBN:0-89791-466-X
Author
Sponsors
SIAM : Society for Industrial and Applied Mathematics
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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ABSTRACT

Let G be a group of matrices with integer entries, given by a list of generators. It is known that membership in such a group is undecidable, even for 4 x 4 integral matrices [Mi]. In this paper we show that one can decide whether or not G is finite, in Las Vegas polynomial time. The key estimate derived makes the entire “black box group” theory ([BSz], [BCFLS], [Ba2], [BKL]) applicable to the finite groups of integral matrices. In particular it follows that in this case, structural properties such as solvability and nilpotence are decidable in Monte Carlo polynomial time; and membership, order, isomorphism, and a host of other problems are in the relatively low complexity class AM coAM [Ba1]. We give two algorithms. The simpler one (Monte Carlo but not Las Vegas) employs a refinement of the random walk technique over groups, developed in [Ba3] (applied here to infinite groups). The termination rule rests on a new estimate on the bit-size of the elements of finite groups G, obtained via polynomial time symbolic manipulation of representations over algebraic number fields using results of [BR]. This symbolic manipulation technique is the basis of the Las Vegas algorithm. (A Las Vegas algorithm is a rnadomized algorithm which never errs; but with small probability, it may r eport failure.)


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
Alo
Ba1
 
Ba2
Ba3
 
Ba4
L. Bahai: Computational complexity in finite groups, Proc. International Congress of Mathematicians, Kyoto 1990, Springer, to appear
BCFS
BCFLS
 
BKL
L. BabaJ, S. Kannan, E. M. Luks: Boundedround interactive proofs for nonisomorphism of finite groups, in preparation
 
BR
L. BabaJ, L. R6nyai: Computing irreducible representations of finite groups, Mathematics of Computation 55 (1990), pp. 705-722. (Preliminary version: 30th FOCS, 1989, pp. 93- 98.)
 
BSz
L. Babai, E. Szemer~di: On the complexity of matrix group problems I, in: Proc. 25th IEEE FOCS, Palm Beach FL, 1984, pp. 229- 240.
 
CR
C. W. Curtis, I. Reiner: Representation Theory of Finite Groups and Associative Algebras, Wiley, 1966.
 
Dia
P. Diaconis: Group Roprosontations in Probability and Statistics, Inst. Math. Stat. Hayward CA 1988.
 
Dix
J. Dixon: Computing irreducible representations of groups, Math. Comp. 24 (1970), 446- 450.
 
Eb
FR
 
GL
G. H. Golub, C. F. Van Loan: Matrix Computations, Johns Hopkins Univ. Press, Baltimore 1989.
 
Ha
P. Halmos: Finite-dimensional Vector Spaces, Van Nostrand, Princeton 1958.
KL
 
Kn
D. E. Knuth: Efficient representation of perm groups, Combinatorica 11 (1991), 57-68.
 
LS
R. C. Lyndon, P. E. Schupp: Combinatorial Group Theory, Springer, New York 1977.
 
Mi
K. A. Mihailova: The occurrence problem for direct products of groups (in Russian), Dokl. Akad. Nauk SSSR 119 (1958), 1103-1105, and Mat. Sb. (N. S.) 70 (112) (1966), 241-251.
Ro
 
Sa
I. N. Sanov: A property of a representation of a free group, Dokl. Akad. Nauk SSSR 57 (1947), 057-659.
 
Si
C. C. Sims, Some group theoretic algorithms, in: Lecture Notes in Math. 697 (1978), pp. 108-124.
 
Sp
A. Speiser: Die Theorie der Grappen yon endlicher Ordnung, Dritte Aufiage, Dover, N.Y. 1937.



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