English

On strongly orthogonal martingales in UMD Banach spaces

Probability 2018-12-20 v1 Complex Variables Functional Analysis

Abstract

In the present paper we introduce the notion of strongly orthogonal martingales. Moreover, we show that for any UMD Banach space XX and for any XX-valued strongly orthogonal martingales MM and NN such that NN is weakly differentially subordinate to MM one has that for any 1<p<1<p<\infty ENtpχp,XpEMtp,      t0, \mathbb E \|N_t\|^p \leq \chi_{p, X}^p \mathbb E \|M_t\|^p,\;\;\; t\geq 0, with the sharp constant χp,X\chi_{p, X} being the norm of a decoupling-type martingale transform and being within the range max{βp,X,p,X}max{βp,Xγ,+,βp,Xγ,}χp,Xmin{βp,X,p,X}, \max\Bigl\{\sqrt{\beta_{p, X}}, \sqrt{\hbar_{p,X}}\Bigr\} \leq \max\{\beta_{p, X}^{\gamma,+}, \beta_{p, X}^{\gamma, -}\} \leq \chi_{p, X} \leq \min\{\beta_{p, X}, \hbar_{p,X}\}, where βp,X\beta_{p, X} is the UMDp_p constant of XX, p,X\hbar_{p, X} is the norm of the Hilbert transform on Lp(R;X)L^p(\mathbb R; X), and βp,Xγ,+\beta_{p, X}^{\gamma,+} and βp,Xγ, \beta_{p, X}^{\gamma, -} are the Gaussian decoupling constants.

Keywords

Cite

@article{arxiv.1812.08049,
  title  = {On strongly orthogonal martingales in UMD Banach spaces},
  author = {Ivan Yaroslavtsev},
  journal= {arXiv preprint arXiv:1812.08049},
  year   = {2018}
}