English

On the R-boundedness of stochastic convolution operators

Functional Analysis 2014-07-02 v2 Probability

Abstract

The RR-boundedness of certain families of vector-valued stochastic convolution operators with scalar-valued square integrable kernels is the key ingredient in the recent proof of stochastic maximal LpL^p-regularity, 2<p<2<p<\infty, for certain classes of sectorial operators acting on spaces X=Lq(μ)X=L^q(\mu), 2q<2\le q<\infty. This paper presents a systematic study of RR-boundedness of such families. Our main result generalises the afore-mentioned RR-boundedness result to a larger class of Banach lattices XX and relates it to the 1\ell^{1}-boundedness of an associated class of deterministic convolution operators. We also establish an intimate relationship between the 1\ell^{1}-boundedness of these operators and the boundedness of the XX-valued maximal function. This analysis leads, quite surprisingly, to an example showing that RR-boundedness of stochastic convolution operators fails in certain UMD Banach lattices with type 22.

Keywords

Cite

@article{arxiv.1404.3353,
  title  = {On the R-boundedness of stochastic convolution operators},
  author = {Jan van Neerven and Mark Veraar and Lutz Weis},
  journal= {arXiv preprint arXiv:1404.3353},
  year   = {2014}
}

Comments

to appear in Positivity

R2 v1 2026-06-22T03:49:31.528Z