A class of rough generalized Marcinkiewicz integrals along twisted surfaces

In this paper, we investigated the mapping properties of generalized Marcinkiewicz integral operators associated with twisted surfaces. Under certain conditions on these surfaces, we established suitable $ L^p $ estimates for these operators, assuming the kernel functions belong to $ L^{q}\left(\mathbb{U}^{{{j}}-1}\times \mathbb{U} ^{{{k}}-1}\right) $. By combining these estimates with Yano's extrapolation technique, we further established the boundedness of these operators from the homogeneous Triebel-Lizorkin space $ \overset{.}{F}_{p}^{0, \tau}(\mathbb{R}^j\times\mathbb{R}^k) $ to the space $ L^p(\mathbb{R}^j\times\mathbb{R}^k) $ under significantly weaker assumptions on the kernels. Our results extended and improved many previously known results.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025650
Citations
1
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.33
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article

A class of rough generalized Marcinkiewicz integrals along twisted surfaces

Mohammed Ali
1 citations
AIMS Mathematics
Advanced Numerical Analysis Techniques
1.33
article

A class of rough generalized Marcinkiewicz integrals along twisted surfaces

Mohammed Ali
article en
1 citations

Abstract

In this paper, we investigated the mapping properties of generalized Marcinkiewicz integral operators associated with twisted surfaces. Under certain conditions on these surfaces, we established suitable $ L^p $ estimates for these operators, assuming the kernel functions belong to $ L^{q}\left(\mathbb{U}^{{{j}}-1}\times \mathbb{U} ^{{{k}}-1}\right) $. By combining these estimates with Yano's extrapolation technique, we further established the boundedness of these operators from the homogeneous Triebel-Lizorkin space $ \overset{.}{F}_{p}^{0, \tau}(\mathbb{R}^j\times\mathbb{R}^k) $ to the space $ L^p(\mathbb{R}^j\times\mathbb{R}^k) $ under significantly weaker assumptions on the kernels. Our results extended and improved many previously known results.

AIMS MathematicsVol. 10(6)
Jordan University of Science and Technology (JO), Integrative Medicine Institute (US), Qatar University (QA)
Openalex Percentile: Top 22%
Advanced Numerical Analysis Techniques
1.33
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