On the Number of Real Zeros of Random Sparse Polynomial Systems

Abstract. Consider a random system [Formula: see text] of [Formula: see text] random real polynomials in [Formula: see text] variables, where each [Formula: see text] has a prescribed set of exponent vectors in a set [Formula: see text] of size [Formula: see text]. Assuming that the coefficients of the [Formula: see text] are independent Gaussian of any variance, we prove that the expected number of zeros of the random system in the positive orthant is bounded from above by [Formula: see text]. This result is a probabilistic version of Kushnirenko’s conjecture; it provides a bound that only depends on the number of terms and is independent of their degree.

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Publication Details

Journal
SIAM Journal on Applied Algebra and Geometry
Published
2026-10-29
DOI
https://doi.org/10.1137/25m1734191
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
0.00

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article

On the Number of Real Zeros of Random Sparse Polynomial Systems

Máté László Telek, Alperen A. Ergür, Josué Tonelli-Cueto
2 links
SIAM Journal on Applied Algebra and Geometry
Polynomial and algebraic computation
article

On the Number of Real Zeros of Random Sparse Polynomial Systems

Máté László Telek, Alperen A. Ergür, Josué Tonelli-Cueto
article en

Abstract

Abstract. Consider a random system [Formula: see text] of [Formula: see text] random real polynomials in [Formula: see text] variables, where each [Formula: see text] has a prescribed set of exponent vectors in a set [Formula: see text] of size [Formula: see text]. Assuming that the coefficients of the [Formula: see text] are independent Gaussian of any variance, we prove that the expected number of zeros of the random system in the positive orthant is bounded from above by [Formula: see text]. This result is a probabilistic version of Kushnirenko’s conjecture; it provides a bound that only depends on the number of terms and is independent of their degree.

SIAM Journal on Applied Algebra and GeometryVol. 10(4)
University of Copenhagen (DK), Budapest University of Technology and Economics (HU), CUNEF Universidad (ES), The University of Texas at San Antonio (US)
National Science Foundation, University of Texas at San Antonio, European Commission, Banff International Research Station for Mathematical Innovation and Discovery, European Research Council
Openalex Percentile: Top 99%
Polynomial and algebraic computation
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