The multilinear fractional sparse operator theory II: refining weighted estimates via multilinear fractional sparse forms
Xi Cen

TL;DR
This paper advances the theory of multilinear fractional sparse operators by refining weighted estimates, introducing new maximal operators and weight classes, and applying these to commutators and fractional Laplacian equations.
Contribution
It introduces a vector-valued sparse domination principle, new weight classes, and sharp bounds for multilinear fractional sparse forms, extending previous results and applications.
Findings
Established norm equivalence between sparse forms and new maximal operators.
Provided sharp weighted estimates for multilinear fractional operators.
Applied results to commutators and fractional Laplacian equations.
Abstract
This paper refines the main results from our previous study on sparse bounds of generalized commutators of multilinear fractional singular integral operators in \cite{CenSong2412}. The key improvements are: 1. We replace pointwise domination with the -linear fractional sparse form , advancing the vector-valued multilinear fractional sparse form domination principle, and relax conditions from multilinear weak type boundedness to multilinear locally weak type boundedness . 2. We introduce a multilinear fractional -type maximal operator and develop a new class of weights to characterize it, establishing norm equivalence with the sparse forms. 3. This norm equivalence provides sharp quantitative weighted estimates for…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Numerical methods in inverse problems · Differential Equations and Boundary Problems
