PreprintarXiv licencearXiv
Sharp spherical extension theorem in 𝔽q2m and applications
Abstract
Let q be an odd prime power and m≥ 1. Let Q be a nondegenerate quadratic form on 𝔽q2m. For every sphere Sj={Q=j} with j∈ 𝔽q×, we prove the sharp extension estimate RSj*(2→ r)≲m1 for r≥ 2(m+1)/m, uniformly in q, Q, and j. As an application, we show that if E⊆𝔽q2m satisfies |E|/qm+1/3→∞, then almost every pin y∈ E determines $(1-o(1))q$ values of Q(x−y). The proof combines two arithmetic Hecke operator estimates with an induction in the dimension, a centered sphere--cone estimate, and an orthogonal decomposition.
Related
- Sharp spherical Lp→ L4 extension estimates over finite fields in odd dimensions
- A Sharp Surface-Area Extension of Vaaler's Theorem
- On the finite field spherical restriction conjecture in four dimensions: the sharp endpoint and applications
- A Second-Order Extension of Hájek's Convolution Theorem with Statistical Applications
- A CRANDALL-PAZY EXTENSION OF THE SLOPE ATTOUCH THEOREM
BibTeX
@misc{pham2026sharp,
title = {{Sharp spherical extension theorem in $\mathbb F_q^2m$ and applications}},
author = {Thang Pham and Boqing Xue},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.39876},
eprint = {2609.39876},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.39876},
}
RIS
TY - UNPB
TI - Sharp spherical extension theorem in 𝔽_q^2m and applications
AU - Thang Pham
AU - Boqing Xue
PY - 2026
DA - 2026/09/30
PB - arXiv
DO - 10.48550/arxiv.2609.39876
UR - https://arxiv.org/abs/2609.39876
AB - Let q be an odd prime power and m≥ 1. Let Q be a nondegenerate quadratic form on 𝔽_q^2m. For every sphere S_j={Q=j} with j∈ 𝔽_q^×, we prove the sharp extension estimate R_S_j^*(2→ r)≲_m1 for r≥ 2(m+1)/m, uniformly in q, Q, and j. As an application, we show that if E⊆𝔽_q^2m satisfies |E|/q^m+1/3→∞, then almost every pin y∈ E determines $(1-o(1))q$ values of Q(x−y). The proof combines two arithmetic Hecke operator estimates with an induction in the dimension, a centered sphere--cone estimate, and an orthogonal decomposition.
ER -