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Estimates for Lp variants of Gowers norms
Abstract
Motivated by a log-convexity question of Bennett and Tao, we consider Gowers-type functionals defined by Lp norms of multiple autocorrelations. We prove sharp bounds in terms of Lq norms and characterise the near-extremisers on Euclidean spaces as well as locally compact abelian groups. We also establish two families of degree-lowering inequalities and study their near-extremisers. As a byproduct of this broader theory, we show that the constant in the log-convexity estimate for Gowers norms is strictly less than unity, confirming the aforementioned conjecture of Bennett and Tao. Finally, we characterise the p for which the Gowers-type functionals necessarily satisfy the triangle inequality on nonnegative measurable functions.
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BibTeX
@misc{kovac2026estimates,
title = {{Estimates for $L^p$ variants of Gowers norms}},
author = {Vjekoslav Kovač and Keith M. Rogers},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2609.08916},
eprint = {2609.08916},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.08916},
}
RIS
TY - UNPB
TI - Estimates for L^p variants of Gowers norms
AU - Vjekoslav Kovač
AU - Keith M. Rogers
PY - 2026
DA - 2026/10/14
PB - arXiv
DO - 10.48550/arxiv.2609.08916
UR - https://arxiv.org/abs/2609.08916
AB - Motivated by a log-convexity question of Bennett and Tao, we consider Gowers-type functionals defined by L^p norms of multiple autocorrelations. We prove sharp bounds in terms of L^q norms and characterise the near-extremisers on Euclidean spaces as well as locally compact abelian groups. We also establish two families of degree-lowering inequalities and study their near-extremisers. As a byproduct of this broader theory, we show that the constant in the log-convexity estimate for Gowers norms is strictly less than unity, confirming the aforementioned conjecture of Bennett and Tao. Finally, we characterise the p for which the Gowers-type functionals necessarily satisfy the triangle inequality on nonnegative measurable functions.
ER -