Quantitative asymptotics for polynomial patterns in the primes

Abstract We prove quantitative estimates for averages of the von Mangoldt and Möbius functions along polynomial progressions for a large class of polynomials . The error terms obtained save an arbitrary power of logarithm, matching the classical Siegel–Walfisz error term. These results give the first quantitative bounds for the Tao–Ziegler polynomial patterns in the primes result. The proofs are based on a quantitative generalised von Neumann theorem of Peluse, a recent result of Leng on strong bounds for the Gowers uniformity of the primes, and analysis of a ‘Siegel model’ for the von Mangoldt function along polynomial progressions.

Authors

Institutions

Publication Details

Journal
Mathematika
Published
2026-05-12
DOI
https://doi.org/10.1112/mtk.70103
Primary Topic
Meromorphic and Entire Functions
Type
preprint
Field-Weighted Citation Impact
0.00

Funders

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

Quantitative asymptotics for polynomial patterns in the primes

Joni Teräväinen, Lilian Matthiesen, Mengdi Wang
Mathematika
Meromorphic and Entire Functions
preprint

Quantitative asymptotics for polynomial patterns in the primes

Joni Teräväinen, Lilian Matthiesen, Mengdi Wang
preprint en

Abstract

Abstract We prove quantitative estimates for averages of the von Mangoldt and Möbius functions along polynomial progressions for a large class of polynomials . The error terms obtained save an arbitrary power of logarithm, matching the classical Siegel–Walfisz error term. These results give the first quantitative bounds for the Tao–Ziegler polynomial patterns in the primes result. The proofs are based on a quantitative generalised von Neumann theorem of Peluse, a recent result of Leng on strong bounds for the Gowers uniformity of the primes, and analysis of a ‘Siegel model’ for the von Mangoldt function along polynomial progressions.

MathematikaVol. 72(3)
University of Cambridge (GB), École Polytechnique Fédérale de Lausanne (CH), University of Göttingen (DE)
Vetenskapsrådet, European Research Council
Openalex Percentile: Top 99%
Meromorphic and Entire Functions
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.