TY - JOUR
T1 - Isoperimetric weights and generalized uncertainty inequalities in metric measure spaces
AU - Martín, Joaquim
AU - Milman, Mario
PY - 2016/5/1
Y1 - 2016/5/1
N2 - © 2016 Elsevier Inc. We extend the recent L1 uncertainty inequalities obtained in [13] 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 can be controlled by rI(r), where I is the isoperimetric profile of the ambient metric space. We use isoperimetric weights, new localized Poincaré inequalities, and interpolation, to prove Lp, 1≤p<∞, 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 of [20], and interpolation of weighted norm inequalities, give new uncertainty inequalities in the context of rearrangement invariant spaces.
AB - © 2016 Elsevier Inc. We extend the recent L1 uncertainty inequalities obtained in [13] 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 can be controlled by rI(r), where I is the isoperimetric profile of the ambient metric space. We use isoperimetric weights, new localized Poincaré inequalities, and interpolation, to prove Lp, 1≤p<∞, 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 of [20], and interpolation of weighted norm inequalities, give new uncertainty inequalities in the context of rearrangement invariant spaces.
KW - Isoperimetric inequalities
KW - Isoperimetric weight
KW - Uncertainty inequalities
U2 - 10.1016/j.jfa.2016.02.016
DO - 10.1016/j.jfa.2016.02.016
M3 - Article
SN - 0022-1236
VL - 270
SP - 3307
EP - 3343
JO - Journal of Functional Analysis
JF - Journal of Functional Analysis
ER -