ACM Home Page
Please provide us with feedback. Feedback
The differential Hilbert function of a differential rational mapping can be computed in polynomial time
Full text PdfPdf (244 KB)
Source International Conference on Symbolic and Algebraic Computation archive
Proceedings of the 2002 international symposium on Symbolic and algebraic computation table of contents
Lille, France
Pages: 184 - 191  
Year of Publication: 2002
ISBN:1-58113-484-3
Authors
Guillermo Matera  IDH, Univ. Nacional de General Sarmiento, Campus Universitario, (1613) Los Polvorines, Buenos Aires, Argentina
Alexandre Sedoglavic  INRIA - Rocquencourt, F-78153 Le Chesnay Cedex, France
Sponsor
SIGSAM: ACM Special Interest Group on Symbolic and Algebraic Manipulation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 9,   Citation Count: 2
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/10.1145/780506.780530
What is a DOI?

ABSTRACT

We present a probabilistic seminumerical algorithm that computes the differential Hilbert function associated to a differential rational mapping. This algorithm explicitly determines the set of variables and derivatives which can be arbitrarily fixed in order to locally invert the differential mapping under consideration. The arithmetic complexity of this algorithm is polynomial in the input size.


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
BAUR, W., AND STRASSEN, V. The complexity of partial derivatives. Theor. Comp. Sc. 22, 3 (1983).
 
2
BOULIER, F. Efficient computation of regular differential systems by change of rankings using Kähler differentials. Preprint 1999-14, Univ. de Lille I, 1999.
3
 
4
CAMPBELL, S., AND GEAR, C. The index of general nonlinear DAE's. Numer. Math. 72, 2 (1995), 173-196.
 
5
EISENBUD, D. Commutative algebra with a view toward algebraic geometry. 150 in GTM. Springer, 1994.
 
6
 
7
HEINTZ, J., MATERA, G., AND WAISSBEIN, A. On the time-space complexity of geometric elimination procedures. AAECC 11, 4 (2001), 239-296.
 
8
 
9
JOHNSON, J. Kähler differentials and differential algebra. Annals of Mathematics 89, 1 (1969), 92-98.
 
10
KOLCHIN, E. R. Differential algebra and algebraic groups, vol. 54 of Pure and applied Mathematics. Academic press, New York, 1973.
 
11
MATERA, G. Probabilistic algorithms for geometric elimination. AAECC 9, 6 (1999), 463-520.
 
12
 
13
REID, G., LIN, P., AND WITTKOPF, A. Differential elimination-completion algorithms for DAE and PDAE. Stud. Appl. Math. 106, 1 (2001), 1-45.
 
14
RITT, J. F. Differential algebra. Dover Publ., 1966.
 
15
SADIK, B. A bound for the order of characteristic set elements of an ordinary prime differential ideal and some applications. AAECC 10, 3 (2000), 251-268.
 
16
SEDOGLAVIC, A. A mixed symbolic-numeric method to study prime ordinary differential ideal. Manuscript 2000-04, GAGE laboratory, Jan. 2000. Available at http://www.medicis.polytechnique.fr/~sedoglav.
17
 
18
VALIANT, L. G. Reducibility by algebraic projections. L'enseig. Math. IIe Séries 28, 3-4 (1982), 253-268.


Collaborative Colleagues:
Guillermo Matera: colleagues
Alexandre Sedoglavic: colleagues