Proceedings of the 2009 International Symposium on Symbolic and Algebraic Computation 2009
DOI: 10.1145/1576702.1576712
|View full text |Cite
|
Sign up to set email alerts
|

Fast algorithms for differential equations in positive characteristic

Abstract: We address complexity issues for linear differential equations in characteristic p > 0: resolution and computation of the p-curvature. For these tasks, our main focus is on algorithms whose complexity behaves well with respect to p. We prove bounds linear in p on the degree of polynomial solutions and propose algorithms for testing the existence of polynomial solutions in sublinear timeÕ(p 1/2 ), and for determining a whole basis of the solution space in quasi-linear timeÕ(p); theÕ notation indicates that we h… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
9
0

Year Published

2012
2012
2024
2024

Publication Types

Select...
4
4

Relationship

4
4

Authors

Journals

citations
Cited by 10 publications
(9 citation statements)
references
References 25 publications
0
9
0
Order By: Relevance
“…Other motivations for considering algorithms that work in positive characteristic come from applications in numbertheory based cryptology or in combinatorics [7,8,10]. Our objectives in this respect are to overcome the lack of a Cauchy theorem, or of a formal theory of singular equations, by giving conditions that ensure the existence of solutions at the required precisions.…”
Section: Introductionmentioning
confidence: 99%
“…Other motivations for considering algorithms that work in positive characteristic come from applications in numbertheory based cryptology or in combinatorics [7,8,10]. Our objectives in this respect are to overcome the lack of a Cauchy theorem, or of a formal theory of singular equations, by giving conditions that ensure the existence of solutions at the required precisions.…”
Section: Introductionmentioning
confidence: 99%
“…However, we can reduce this cost using babysteps / giant steps techniques: the bivariate modular composition algorithm of [36] shows that we can do matrix-vector product by T using O(e 1/2 M (de) + e (ω+1)/2 M (d)) operations; since multiplications by V u and W v take O(M (de)), we obtain the improved estimate C A = O(e 1/2 M (de) + e (ω+1)/2 M (d)) in this case. Algorithm DAC Q is the only algorithm we know of that takes into account the extra structure of algebraic approximants; we expect that similar improvements are possible for di erential approximants, using the evaluation algorithm of [12].…”
Section: Solving Problem Amentioning
confidence: 98%
“…the smallest i such that (d/dz) i = L mod p is i = 3 for primes p = 2, 3, 5, 7, 11... and L is the above irreducible unreadable linear differential operator cancelling D(z)). Therefore, according to a conjecture of Grothendieck on the p-curvature (see [7]), the function is not algebraic. For m = 5, D(z) is a non algebraic function satisfying a differential equation of order 6 and of degree 38, which leads to…”
Section: An Example On Tuples Of Domino Tilingsmentioning
confidence: 99%