Matrix-F5 algorithms over finite-precision complete discrete valuation fields
Tristan Vaccon (IRMAR)

TL;DR
This paper develops algorithms for computing approximate Gröbner bases over p-adic fields, analyzing their precision loss and stability, with applications in arithmetic geometry and lifting solutions.
Contribution
It introduces a new strategy for stable Gröbner basis computation over p-adic fields, including analysis of precision loss and applications to lifting and differentiation.
Findings
Algorithms are effective when input sequences are regular and ideals are weakly-w-ideals.
The stability of Gröbner basis computation enables differentiability and explicit differentials.
Numerical examples demonstrate the practical applicability of the methods.
Abstract
Let be a sequence of homogeneous polynomials with -adic coefficients. Such system may happen, for example, in arithmetic geometry. Yet, since is not an effective field, classical algorithm does not apply.We provide a definition for an approximate Gr{\"o}bner basis with respect to a monomial order We design a strategy to compute such a basis, when precision is enough and under the assumption that the input sequence is regular and the ideals are weakly--ideals. The conjecture of Moreno-Socias states that for the grevlex ordering, such sequences are generic.Two variants of that strategy are available, depending on whether one lean more on precision or time-complexity. For the analysis of these algorithms, we study the loss of precision of the Gauss row-echelon algorithm,…
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Taxonomy
TopicsAlgebraic Geometry and Number Theory · Polynomial and algebraic computation · Cryptography and Residue Arithmetic
