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In this survey, we give an overview of advances in the theory and computation of sparse resultants. First, we examine the construction and proof of the Canny-Emiris formula, which gives a rational determinantal formula. Second, we discuss…

Algebraic Geometry · Mathematics 2026-02-17 Carles Checa , Ioannis Z. Emiris , Christos Konaxis

We present a Poisson formula for sparse resultants and a formula for the product of the roots of a family of Laurent polynomials, which are valid for arbitrary families of supports. To obtain these formulae, we show that the sparse…

Algebraic Geometry · Mathematics 2015-06-12 Carlos D'Andrea , Martin Sombra

We present formulas for computing the resultant of sparse polynomials as a quotient of two determinants, the denominator being a minor of the numerator. These formulas extend the original formulation given by Macaulay for homogeneous…

Algebraic Geometry · Mathematics 2007-05-23 Carlos D'Andrea

It has by now become a standard approach to use the theory of sparse (or toric) elimination, based on the Newton polytope of a polynomial, in order to reveal and exploit the structure of algebraic systems. This talk surveys compact…

Computational Complexity · Computer Science 2017-10-16 Ioannis Emiris

We give the first exact determinantal formula for the resultant of an unmixed sparse system of four Laurent polynomials in three variables with arbitrary support. This follows earlier work by the author on exact formulas for bivariate…

Algebraic Geometry · Mathematics 2009-09-29 Amit Khetan

Effective computation of resultants is a central problem in elimination theory and polynomial system solving. Commonly, we compute the resultant as a quotient of determinants of matrices and we say that there exists a determinantal formula…

Commutative Algebra · Mathematics 2021-05-28 Matías R. Bender , Jean-Charles Faugère , Angelos Mantzaflaris , Elias Tsigaridas

In this paper, we first introduce the concept of Laurent differentially essential systems and give a criterion for Laurent differentially essential systems in terms of their supports. Then the sparse differential resultant for a Laurent…

Symbolic Computation · Computer Science 2012-06-19 Wei Li , Chun-Ming Yuan , Xiao-Shan Gao

Sparse (or toric) elimination exploits the structure of polynomials by measuring their complexity in terms of Newton polytopes instead of total degree. The sparse, or Newton, resultant generalizes the classical homogeneous resultant and its…

Symbolic Computation · Computer Science 2012-01-30 Ioannis Z. Emiris

In this paper, the concept of sparse difference resultant for a Laurent transformally essential system of difference polynomials is introduced and a simple criterion for the existence of sparse difference resultant is given. The concept of…

Symbolic Computation · Computer Science 2013-09-25 Wei Li , Chun-Ming Yuan , Xiao-Shan Gao

We present bounds for the sparseness and for the degrees of the polynomials in the Nullstellensatz. Our bounds depend mainly on the unmixed volume of the input polynomial system. The degree bounds can substantially improve the known ones…

alg-geom · Mathematics 2007-05-23 Mart'in Sombra

The sparse difference resultant introduced in \citep{gao-2015} is a basic concept in difference elimination theory. In this paper, we show that the sparse difference resultant of a generic Laurent transformally essential system can be…

Symbolic Computation · Computer Science 2021-04-21 Chun-Ming Yuan , Zhi-Yong Zhang

We illustrate an efficient new method for handling polynomial systems with degenerate solution sets. In particular, a corollary of our techniques is a new algorithm to find an isolated point in every excess component of the zero set (over…

Algebraic Geometry · Mathematics 2009-09-25 J. Maurice Rojas

We prove that sparse resultants having Mahler measure equal to zero are those whose Newton polytope has dimension one. We then compute the Mahler measure of resultants in dimension two, and examples in dimension three and four. Finally, we…

Number Theory · Mathematics 2007-05-23 Carlos D'Andrea , Matilde N. Lalin

This paper gives an explicit method for computing the resultant of any sparse unmixed bivariate system with given support. We construct square matrices whose determinant is exactly the resultant. The matrices constructed are of hybrid…

Algebraic Geometry · Mathematics 2007-05-23 Amit Khetan

We present sharp estimates for the degree and the height of the polynomials in the Nullstellensatz over $\Z$. The result improves previous work of Philippon, Berenstein-Yger and Krick-Pardo. We also present degree and height estimates of…

Algebraic Geometry · Mathematics 2007-05-23 Teresa Krick , Luis Miguel Pardo , Martin Sombra

A linear map between two vector spaces has a very important characteristic: a determinant. In modern theory two generalizations of linear maps are intensively used: to linear complexes (the nilpotent chains of linear maps) and to non-linear…

Mathematical Physics · Physics 2015-05-13 A. Anokhina , A. Morozov , Sh. Shakirov

We show that, for a system of univariate polynomials given in sparse encoding, we can compute a single polynomial defining the same zero set, in time quasi-linear in the logarithm of the degree. In particular, it is possible to determine…

Algebraic Geometry · Mathematics 2014-04-15 Francesco Amoroso , Louis Leroux , Martin Sombra

We consider a particular type of matrices which belong at the same time to the class of Hessenberg and Toeplitz matrices, and whose determinants are equal to the number of a type of compositions of natural numbers. We prove a formula in…

Combinatorics · Mathematics 2010-07-06 Milan Janjic

We present formulas for the homogenous multivariate resultant as a quotient of two determinants. They extend classical Macaulay formulas, and involve matrices of considerably smaller size, whose non zero entries include coefficients of the…

Algebraic Geometry · Mathematics 2007-05-23 Carlos D'Andrea , Alicia Dickenstein

We give a new theoretical tool to solve sparse systems with finitely many solutions. It is based on toric varieties and basic linear algebra; eigenvalues, eigenvectors and coefficient matrices. We adapt Eigenvalue theorem and Eigenvector…

Algebraic Geometry · Mathematics 2015-08-07 César Massri
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