Sharp comparison and maximum principles via horizontal normal mapping in the Heisenberg group
arXiv:1305.5638 · doi:10.1016/j.jfa.2015.08.014
Abstract
In this paper we solve a problem raised by Gutiérrez and Montanari about comparison principles for convex functions on subdomains of Heisenberg groups. Our approach is based on the notion of the sub-Riemannian horizontal normal mapping and uses degree theory for set-valued maps. The statement of the comparison principle combined with a Harnack inequality is applied to prove the Aleksandrov-type maximum principle, describing the correct boundary behavior of continuous convex functions vanishing at the boundary of horizontally bounded subdomains of Heisenberg groups. This result answers a question by Garofalo and Tournier. The sharpness of our results are illustrated by examples.
Published in: J. Funct. Anal. 269 (2015), no. 9, 2669-2708