arXiv (All)
open access
Sharp weighted estimates for the multilinear maximal operator
The paper contains the study of the weighted $L^{p_1}\times L^{p_2}\times \ldots \times L^{p_m}\to L^p$ estimates for the multilinear maximal operator, in the context of abstract probability spaces equipped with a tree-like structure. Using the Bellman function method, we identify the associated opt
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Boundedness of Multilinear Hilbert Transforms Along Moment Curves#984430
- Weighted Norm Inequalities for Maximal Multi-sublinear Rough Singular Integrals#1343811
- Minimax solution of statistical decision problems by iteration#1305770
- Maximum probability estimators with a general loss function#1305781
- Multiplicative Gradient Method for Log-Homogeneous Optimization: A Unified Mirror-Descent Framework#1327925
Record · ID 1233554
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive