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On Polynomial Ideals And Overconvergence In Tate Algebras
Symbolic Computation · Submitted 15 Feb 2022
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Finally, we prove the existence of a universal analytic Gr{\"o}bner basis for polynomial ideals in Tate algebras, compatible with all convergence radii.
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The abstract, sentence by sentence
In this paper, we study ideals spanned by polynomials or overconvergent series in a Tate algebra. With state-of-the-art algorithms for computing Tate Gr{\"o}bner bases, even if the input is polynomials, the size of the output grows with the required precision, both in terms of the size of the coefficients and the size of the support of the series. We prove that ideals which are spanned by polynomials admit a Tate Gr{\"o}bner basis made of polynomials, and we propose an algorithm, leveraging Mora's weak normal form algorithm, for computing it. As a result, the size of the output of this algorithm grows linearly with the precision. Following the same ideas, we propose an algorithm which computes an overconvergent basis for an ideal spanned by overconvergent series. Finally, we prove the existence of a universal analytic Gr{\"o}bner basis for polynomial ideals in Tate algebras, compatible with all convergence radii.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | In this paper, we study ideals spanned by polynomials or overconvergent series in a Tate algebra. | contribution 0.60 | 0.75 | 0.04 | asserted 0.95 |
| s1 | With state-of-the-art algorithms for computing Tate Gr{\"o}bner bases, even if the input is polynomials, the size of the output grows with the required precision, both in terms of the size of the coefficients and the size of the support of the series. | background 0.88 | 0.17 | 0.04 | asserted 0.98 |
| s2 | We prove that ideals which are spanned by polynomials admit a Tate Gr{\"o}bner basis made of polynomials, and we propose an algorithm, leveraging Mora's weak normal form algorithm, for computing it. | contribution 0.93 | 0.96 | 0.44 | asserted 1.00 |
| s3 | As a result, the size of the output of this algorithm grows linearly with the precision. | result 0.95 | 0.90 | 0.23 | asserted 1.00 |
| s4 | Following the same ideas, we propose an algorithm which computes an overconvergent basis for an ideal spanned by overconvergent series. | contribution 0.78 | 0.94 | 0.07 | asserted 0.95 |
| s5 | Finally, we prove the existence of a universal analytic Gr{\"o}bner basis for polynomial ideals in Tate algebras, compatible with all convergence radii. | result 0.89 | 0.91 | 0.35 | asserted 1.00 |
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The paper
Original abstract
In this paper, we study ideals spanned by polynomials or overconvergent series in a Tate algebra. With state-of-the-art algorithms for computing Tate Gr{\"o}bner bases, even if the input is polynomials, the size of the output grows with the required precision, both in terms of the size of the coefficients and the size of the support of the series. We prove that ideals which are spanned by polynomials admit a Tate Gr{\"o}bner basis made of polynomials, and we propose an algorithm, leveraging Mora's weak normal form algorithm, for computing it. As a result, the size of the output of this algorithm grows linearly with the precision. Following the same ideas, we propose an algorithm which computes an overconvergent basis for an ideal spanned by overconvergent series. Finally, we prove the existence of a universal analytic Gr{\"o}bner basis for polynomial ideals in Tate algebras, compatible with all convergence radii.
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