Chebyshev varieties

Chebyshev varieties are algebraic varieties parametrized by Chebyshev polynomials or their multivariate generalizations. We determine the dimension, degree, singular locus and defining equations of these varieties. We explain how they play the role of toric varieties in sparse polynomial root finding, when monomials are replaced by Chebyshev polynomials. We present numerical root finding algorithms that exploit our results.

Authors

Institutions

Publication Details

Journal
Mathematics of Computation
Published
2025-07-24
DOI
https://doi.org/10.1090/mcom/4125
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chebyshev varieties

Zaïneb Bel-Afia, Chiara Meroni, Simon Telen
Mathematics of Computation
Coding theory and cryptography
article

Chebyshev varieties

Zaïneb Bel-Afia, Chiara Meroni, Simon Telen
article en

Abstract

Chebyshev varieties are algebraic varieties parametrized by Chebyshev polynomials or their multivariate generalizations. We determine the dimension, degree, singular locus and defining equations of these varieties. We explain how they play the role of toric varieties in sparse polynomial root finding, when monomials are replaced by Chebyshev polynomials. We present numerical root finding algorithms that exploit our results.

Mathematics of Computation
University of Oxford (GB), Max Planck Institute for Mathematics in the Sciences (DE), Instituto de Física Teórica (ES)
Walter Haefner Stiftung, ETH Zürich Foundation
Openalex Percentile: Top 91%
Coding theory and cryptography
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.