English

Isoperimetric weights and generalized uncertainty inequalities in metric measure spaces

Functional Analysis 2017-05-30 v4

Abstract

We extend the recent L1L^{1} uncertainty inequalities obtained by Dall'ara-Trevisan to the metric setting. For this purpose we introduce a new class of weights, named *isoperimetric weights*, for which the growth of the measure of their level sets μ({wr})\mu(\{w\leq r\}) can be controlled by rI(r),rI(r), where II is the isoperimetric profile of the ambient metric space. We use isoperimetric weights, new *localized Poincar\'e inequalities*, and interpolation, to prove Lp,1p<,L^{p},1\leq p<\infty, uncertainty inequalities on metric measure spaces. We give an alternate characterization of the class of isoperimetric weights in terms of Marcinkiewicz spaces, which combined with the sharp Sobolev inequalities we had obtained in an earlier paper, and interpolation of weighted norm inequalities, give new uncertainty inequalities in the context of rearrangement invariant spaces.

Keywords

Cite

@article{arxiv.1501.06556,
  title  = {Isoperimetric weights and generalized uncertainty inequalities in metric measure spaces},
  author = {Joaquim Martin and Mario Milman},
  journal= {arXiv preprint arXiv:1501.06556},
  year   = {2017}
}

Comments

32 pages, made a few minor changes and corrections