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PreprintarXiv licencearXiv

end point estimates for the bilinear circular averaging operator

Abstract

We prove that the bilinear circular averaging operator is bounded from L1(ℝ) × L1(ℝ) to L1/2,∞(ℝ). The corresponding strong estimate fails, even when the inputs are nonnegative, smooth, and compactly supported. We also construct nonnegative f,g ∈ L1(ℝ) for which the average does not belong to L1/2(ℝ). The weak estimate is proved by a dyadic decomposition of the inputs and a summation over interval pairs near each quadratic fold.

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BibTeX
@misc{wei2026point,
  title = {{end point estimates for the bilinear circular averaging operator}},
  author = {Xuyi Wei},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.24465},
  eprint = {2610.24465},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.24465},
}
RIS
TY  - UNPB
TI  - end point estimates for the bilinear circular averaging operator
AU  - Xuyi Wei
PY  - 2026
DA  - 2026/10/17
PB  - arXiv
DO  - 10.48550/arxiv.2610.24465
UR  - https://arxiv.org/abs/2610.24465
AB  - We prove that the bilinear circular averaging operator is bounded from L^1(ℝ) × L^1(ℝ) to L^1/2,∞(ℝ). The corresponding strong estimate fails, even when the inputs are nonnegative, smooth, and compactly supported. We also construct nonnegative f,g ∈ L^1(ℝ) for which the average does not belong to L^1/2(ℝ). The weak estimate is proved by a dyadic decomposition of the inputs and a summation over interval pairs near each quadratic fold.
ER  -