arXiv (OAI Expanded)
open access
Predictable subordination, sharp martingale inequalities and applications
We introduce a new method for obtaining sharp $L^p$ estimates for martingales under predictable analogues of differential subordination. By allowing suitable comparisons between continuous and jump variation adapted to the relevant range of $p$, we retain sharp constants in settings where pathwise d
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
- Shorter proof of dimension-free $L^p$ estimates for maximal Riesz transforms#1069956
- Berry-Esseen bounds for step-reinforced random walks#670328
- Berry-Esseen bounds for step-reinforced random walks#668263
- Sharp Metric Cotype Inequalities for $L_1$ via Nonlinear Cut Smoothing#987925
- Fractional Hardy--Maz'ya inequality on a half-space#997813
Record · ID 1084428
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