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The so called generalized down-up algebras are revisited from a viewpoint of Gr\"obner basis theory. Particularly it is shown explicitly that generalized down-up algebras are solvable polynomial algebras (provided $\lambda\omega\ne 0$), and…

Rings and Algebras · Mathematics 2022-01-11 Rabigul Tuniyaz , Gulshadam Yunus

We improve the complex number identity proving method to a fully automated procedure, based on elimination ideals. By using declarative equations or rewriting each real-relational hypothesis $h_i$ to $h_i-r_i$, and the thesis $t$ to $t-r$,…

Computational Geometry · Computer Science 2025-11-19 Zoltán Kovács , Xicheng Peng

We consider the problem of finding the isolated common roots of a set of polynomial functions defining a zero-dimensional ideal I in a ring R of polynomials over C. Normal form algorithms provide an algebraic approach to solve this problem.…

Algebraic Geometry · Mathematics 2018-12-10 Bernard Mourrain , Simon Telen , Marc Van Barel

We present a new open source C library \texttt{msolve} dedicated to solving multivariate polynomial systems of dimension zero through computer algebra methods. The core algorithmic framework of \texttt{msolve} relies on Gr\''obner bases and…

Symbolic Computation · Computer Science 2021-05-20 Jérémy Berthomieu , Christian Eder , Mohab Safey El Din

Let $f_{1}, \ldots, f_{k}$ be polynomials defining an algebraic set in affine $n$-space over a finite field. Suppose $k>n$. We prove that there exists a system of polynomials $g_{1}, \ldots, g_{n}$, each being a linear combination with…

Algebraic Geometry · Mathematics 2022-04-26 Stefan Barańczuk

A Comprehensive Grobner system for a parametric ideal I in K(A)[X] represents the collection of all Grobner bases of the ideals I' in K[X] obtained as the values of the parameters A vary in K. The recent algorithms for computing them…

Commutative Algebra · Mathematics 2024-04-23 Anna Maria Bigatti , Elisa Palezzato , Michele Torielli

In this paper, we generalize the notion of border bases of zero-dimensional polynomial ideals to the module setting. To this end, we introduce order modules as a generalization of order ideals and module border bases of submodules with…

Commutative Algebra · Mathematics 2013-02-27 Markus Kriegl

Computations over the rational numbers often encounter the problem of intermediate coefficient growth. A solution to this is provided by modular methods, which apply the algorithm under consideration modulo a number of primes and then lift…

Algebraic Geometry · Mathematics 2024-01-23 Dirk Basson , Janko Boehm , Magdaleen S. Marais , Mirko Rahn , Hobihasina P. Rakotoarisoa

Let $I$ be an ideal of the polynomial ring $A[x]=A[x_1,...,x_n]$ over the commutative, noetherian ring $A$. Geometrically $I$ defines a family of affine schemes over $\Spec(A)$: For $\p\in\Spec(A)$, the fibre over $\p$ is the closed…

Commutative Algebra · Mathematics 2007-05-23 Michael Wibmer

In this paper we introduce an algebra embedding $\iota:K< X >\to S$ from the free associative algebra $K< X >$ generated by a finite or countable set $X$ into the skew monoid ring $S = P * \Sigma$ defined by the commutative polynomial ring…

Rings and Algebras · Mathematics 2012-05-24 Roberto La Scala , Viktor Levandovskyy

We consider the problem of finding the isolated common roots of a set of polynomial functions defining a zero-dimensional ideal I in a ring R of polynomials over C. We propose a general algebraic framework to find the solutions and to…

Algebraic Geometry · Mathematics 2017-11-15 Simon Telen , Bernard Mourrain , Marc Van Barel

In this paper, we present a generic parametrization of generically zero-dimensional parametric polynomial systems. More specifically, we study the specialization properties of the Rational Univariate Representation and derive bounds on the…

Symbolic Computation · Computer Science 2026-02-09 Florent Corniquel

Starting with univariate polynomial interpolation we arrive to a natural generalization of fundamental theorem of algebra for certain systems of multivariate algebraic equations.

Numerical Analysis · Mathematics 2025-10-20 H. Hakopian , M. Tonoyan

In this work we develop the theory of Gr\"obner bases for modules over the ring of univariate linearized polynomials with coefficients from a finite field.

Symbolic Computation · Computer Science 2014-06-19 Margreta Kuijper , Anna-Lena Trautmann

We present an efficient algorithm for computing the leading monomials of a minimal Groebner basis of a generic sequence of homogeneous polynomials. Our approach bypasses costly polynomial reductions by exploiting structural properties…

Symbolic Computation · Computer Science 2026-05-12 Kosuke Sakata , Tsuyoshi Takagi

Geometric involutive bases for polynomial systems of equations have their origin in the prolongation and projection methods of the geometers Cartan and Kuranishi for systems of PDE. They are useful for numerical ideal membership testing and…

Algebraic Geometry · Mathematics 2014-05-29 Greg Reid , Fei Wang , Wenyuan Wu

We discuss the problem of determining reduction number of a polynomial ideal I in n variables. We present two algorithms based on parametric computations. The first one determines the absolute reduction number of I and requires computation…

Commutative Algebra · Mathematics 2014-06-16 Amir Hashemi , Michael Schweinfurter , Werner M. Seiler

For curved projective manifolds we introduce a notion of a normal tractor frame field, based around any point. This leads to canonical systems of (redundant) coordinates that generalise the usual homogeneous coordinates on projective space.…

Differential Geometry · Mathematics 2015-09-29 A. Cap , A. R. Gover , M. Hammerl

Border bases can be considered to be the natural extension of Gr\"obner bases that have several advantages. Unfortunately, to date the classical border basis algorithm relies on (degree-compatible) term orderings and implicitly on reduced…

Commutative Algebra · Mathematics 2010-02-05 Gábor Braun , Sebastian Pokutta

Approximate vanishing ideal is a concept from computer algebra that studies the algebraic varieties behind perturbed data points. To capture the nonlinear structure of perturbed points, the introduction of approximation to exact vanishing…

Machine Learning · Statistics 2019-11-11 Hiroshi Kera , Yoshihiko Hasegawa