Galois invariant smoothness basis
Jean-Marc Couveignes, Reynald Lercier

TL;DR
This paper constructs Galois-invariant smoothness bases for finite fields to improve discrete logarithm computations, addressing a question by Joux and the second author, and applies these methods to linear and function field sieves.
Contribution
It introduces models for finite fields that enable Galois-invariant smoothness bases, enhancing the efficiency of discrete logarithm algorithms.
Findings
Constructed models for broad classes of finite fields.
Enabled Galois-invariant smoothness bases for these fields.
Applied to linear and function field sieves for discrete log computations.
Abstract
This text answers a question raised by Joux and the second author about the computation of discrete logarithms in the multiplicative group of finite fields. Given a finite residue field , one looks for a smoothness basis for that is left invariant by automorphisms of . For a broad class of finite fields, we manage to construct models that allow such a smoothness basis. This work aims at accelerating discrete logarithm computations in such fields. We treat the cases of codimension one (the linear sieve) and codimension two (the function field sieve).
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