ACM Home Page
Please provide us with feedback. Feedback
Polynomial time solutions of some problems of computational algebra
Full text PdfPdf (1.02 MB)
Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the seventeenth annual ACM symposium on Theory of computing table of contents
Providence, Rhode Island, United States
Pages: 153 - 162  
Year of Publication: 1985
ISBN:0-89791-151-2
Authors
K Friedl  Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary
L Rónyai  Dept. of Computer and Information Science, University of Oregon, Eugene and Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 17,   Citation Count: 11
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/22145.22162
What is a DOI?

ABSTRACT

The first structure theory in abstract algebra was that of finite dimensional Lie algebras (Cartan-Killing), followed by the structure theory of associative algebras (Wedderburn-Artin). These theories determine, in a non-constructive way, the basic building blocks of the respective algebras (the radical and the simple components of the factor by the radical). In view of the extensive computations done in such algebras, it seems important to design efficient algorithms to find these building blocks. We find polynomial time solutions to a substantial part of these problems. We restrict our attention to algebras over finite fields and over algebraic number fields. We succeed in determining the radical (the “bad part” of the algebra) in polynomial time, using (in the case of prime characteristic) some new algebraic results developed in this paper. For associative algebras we are able to determine the simple components as well. This latter result generalizes factorization of polynomials over the given field. Correspondingly, our algorithm over finite fields is Las Vegas. Some of the results generalize to fields given by oracles. Some fundamental problems remain open. An example: decide whether or not a given rational algebra is a noncommutative field.


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.

 
1
L. Bahai, W. M. Kaator, E. M. Luks, Computational eomplezittl lad the eldssificatiop o! }?nit~ simple groups, Proc. 24th IEEE Syrup. Found. Camp. $ci., Tuc.son, Arizona, 1983, 162-171.
 
2
R.E. Beck, B. Kolman, I. N. Stewart, Computing the structure o! o Lie algebra, Computers in nonassociarve rings and algebras, Academic Press, New 'fork-San Francisco- London, 1077, 167-188.
 
3
E. R, Bcrlekamp, Factoring polynomials over large finite/ields, Math. Camp. 24 (1070), 713-715.
 
4
 
5
A.L. Chistov, D. Yu. Grigoryev, Pollmomid-time/he. taring o! the multlvgriable polgnomiale o~cr i global field, LOMI preprint, Leningrad 17~2. (to appeaz in J. of Symbolic Computation)
 
6
L.E. Dickson, Algebras and their srlthmctics, University of Chicago, 1923.
 
7
I.N. Hcrsteia, Nonco;nmutative rings, Math. Assoc. of America, 1968.
 
8
N. Jacobson, Lie a/;ebras, John Wiley, New York- London, 1962.
 
9
D. E',. Kauth, TAe art o! computer prograraming, Vol. t, Seminstmerical algorithms, Addison-Wesley, Reading, 1981.
 
10
S. Landau, Factoring pollmornials o~er 41itebs'aie number fields is in polynomial time, SIAM J. Cor~p., 1085, to appear
 
11
 
12
A.K. Leastra, H. W. Lenstra, L. I,ov~z, Factoring polynomials with rational cocfficicnts, Math. Ann. 261 (1982), 515-534.
 
13
M.O. Rabid, Probabilistic algorithms in .finitt ji~lda, SIAM J. Camp. 9 (1980), 273-280.

CITED BY  11