Raphaël Pagès

dblp:295/9560 · DBLP profile ↗
← Back
2ranked-venue papers
2as first author
2since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 2 first-author · 2 since 2021
YearPublicationVenuePosition
2026 LCM Decompositions of Linear Differential Operators in Positive Characteristic
abstract
We present an algorithm to compute LCLM-decompositions for linear differentials operators with coefficients in the rational function field of characteristic p, \(\mathbb {F}_{p^n}(t)\). We show that for an operator L of order r with coefficients of degree d, it finishes in polynomial time in r, d and p. This algorithm proceeds in three steps. We begin by showing that the “type” of the factorisation of L can be easily obtained from the Frobenius normal form of its p-curvature, which can be efficiently computed using [4]. Using results from the thesis of the author [19], we are then able to construct an operator L* in the same equivalence class as L for which an LCLM-decomposition is known. Finally, by computing an isomorphism between the quotient modules \(\mathbb {F}_q(t)\langle \partial \rangle /\mathbb {F}_q(t)\langle \partial \rangle L^*\) and \(\mathbb {F}_q(t)\langle \partial \rangle /\mathbb {F}_q(t)\langle \partial \rangle L\), we find a corresponding LCLM-decomposition of L.
Raphaël Pagès
ISSAC1
2021 Computing Characteristic Polynomials of p-Curvatures in Average Polynomial Time
abstract
We design a fast algorithm that computes, for a given linear differential operator with coefficients in 918;[x], all the characteristic polynomials of its p-curvatures, for all primes p < N, in asymptoti- cally quasi-linear bit complexity in N. We discuss implementations and applications of our algorithm. We shall see in particular that the good performances of our algorithm are quickly visible.
Raphaël Pagès
ISSAC1