Sparse Bounds for Maximal Triangle and Bilinear Spherical Averaging Operators

Abstract We show that the method in the recent work by Roncal, Shrivastava, and Shuin can be adapted to show that certain $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> -improving bounds in the interior of the boundedness region for the bilinear spherical or triangle averaging operator imply sparse bounds for the corresponding lacunary maximal operator, and that $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> -improving bounds in the interior of the boundedness region for the single-scale maximal bilinear spherical averaging operator implies sparse bounds for the corresponding full maximal operator. More generally we show that the proof applies for bilinear convolutions with compactly supported finite Borel measures that satisfy appropriate $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> -improving and continuity estimates. This shows that the method used by Roncal, Shrivastava, and Shuin can be adapted obtain sparse bounds for a general class of bilinear operators that are not of product type, for a certain range of $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> exponents.

Authors

Institutions

Publication Details

Journal
Journal of Fourier Analysis and Applications
Published
2025-12-05
DOI
https://doi.org/10.1007/s00041-025-10208-0
Primary Topic
Advanced Harmonic Analysis Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sparse Bounds for Maximal Triangle and Bilinear Spherical Averaging Operators

Eyvindur Ari Palsson, Sean R. Sovine
Journal of Fourier Analysis and Applications
Advanced Harmonic Analysis Research
article

Sparse Bounds for Maximal Triangle and Bilinear Spherical Averaging Operators

Eyvindur Ari Palsson, Sean R. Sovine
article en

Abstract

Abstract We show that the method in the recent work by Roncal, Shrivastava, and Shuin can be adapted to show that certain $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> -improving bounds in the interior of the boundedness region for the bilinear spherical or triangle averaging operator imply sparse bounds for the corresponding lacunary maximal operator, and that $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> -improving bounds in the interior of the boundedness region for the single-scale maximal bilinear spherical averaging operator implies sparse bounds for the corresponding full maximal operator. More generally we show that the proof applies for bilinear convolutions with compactly supported finite Borel measures that satisfy appropriate $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> -improving and continuity estimates. This shows that the method used by Roncal, Shrivastava, and Shuin can be adapted obtain sparse bounds for a general class of bilinear operators that are not of product type, for a certain range of $$L^p$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>L</mml:mi> <mml:mi>p</mml:mi> </mml:msup> </mml:math> exponents.

Journal of Fourier Analysis and ApplicationsVol. 32(1)
Virginia Tech (US)
Openalex Percentile: Top 48%
Advanced Harmonic Analysis Research
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.