Table of Contents
Fetching ...

Measure contraction property and curvature-dimension condition on sub-Finsler Heisenberg groups

Samuël Borza, Mattia Magnabosco, Tommaso Rossi, Kenshiro Tashiro

Abstract

In this paper, we investigate the validity of synthetic curvature-dimension bounds in the sub-Finsler Heisenberg group, equipped with a positive smooth measure. Firstly, we study the measure contraction property, in short $\mathsf{MCP}$, proving that its validity depends on the norm generating the sub-Finsler structure. Indeed, we show that, if it is neither $C^1$ nor strongly convex, the associated Heisenberg group does not satisfy $\mathsf{MCP}(K,N)$ for any pair of parameters $K \in \mathbb{R}$ and $N \in (1,\infty)$. On the contrary, we prove that the sub-Finsler Heisenberg group, equipped with a $C^{1,1}$ and strongly convex norm, and with the Lebesgue measure, satisfies $\mathsf{MCP}(0,N)$ for some $N \in (1,\infty)$. Additionally, we provide a lower bound on the optimal dimensional parameter, and we also study the case of $C^1$ and strongly convex norms. Secondly, we address the validity of the curvature-dimension condition pioneered by Sturm and Lott-Villani, in short $\mathsf{CD}(K,N)$. We show that the sub-Finsler Heisenberg group, equipped with a $C^1$ and strongly convex norm, and with a positive smooth measure, does not satisfy the $\mathsf{MCP}(K,N)$ condition for any pair of parameters $K \in \mathbb{R}$ and $N \in (1,\infty)$. Combining this result with our findings regarding the measure contraction property, we conclude the failure of the $\mathsf{CD}$ condition in the Heisenberg group for every sub-Finsler structure.

Measure contraction property and curvature-dimension condition on sub-Finsler Heisenberg groups

Abstract

In this paper, we investigate the validity of synthetic curvature-dimension bounds in the sub-Finsler Heisenberg group, equipped with a positive smooth measure. Firstly, we study the measure contraction property, in short , proving that its validity depends on the norm generating the sub-Finsler structure. Indeed, we show that, if it is neither nor strongly convex, the associated Heisenberg group does not satisfy for any pair of parameters and . On the contrary, we prove that the sub-Finsler Heisenberg group, equipped with a and strongly convex norm, and with the Lebesgue measure, satisfies for some . Additionally, we provide a lower bound on the optimal dimensional parameter, and we also study the case of and strongly convex norms. Secondly, we address the validity of the curvature-dimension condition pioneered by Sturm and Lott-Villani, in short . We show that the sub-Finsler Heisenberg group, equipped with a and strongly convex norm, and with a positive smooth measure, does not satisfy the condition for any pair of parameters and . Combining this result with our findings regarding the measure contraction property, we conclude the failure of the condition in the Heisenberg group for every sub-Finsler structure.
Paper Structure (22 sections, 39 theorems, 248 equations, 3 figures)

This paper contains 22 sections, 39 theorems, 248 equations, 3 figures.

Key Result

Theorem 1.1

Let $\mathbb{H}$ be the sub-Fin-sler Heisenberg group, equipped with a norm ${\|\!\cdot\!\|}$ which is not $C^1$ or not strongly convex, and let $\mathfrak m$ be a positive smooth measure on $\mathbb{H}$. Then, the metric measure space $(\mathbb{H}, \mathsf d, \mathfrak m)$ does not satisfy the meas

Figures (3)

  • Figure 1: Values of the generalized trigonometric functions $\cos_\Omega$ and $\sin_\Omega$.
  • Figure 2: Representation of the correspondence $\theta \ext@arrow 9999{ \arrowfill@\leftarrow\relbar\rightarrow}{}{\Omega} \psi$.
  • Figure 3: The flat part of $\partial\Omega^\circ$.

Theorems & Definitions (99)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Theorem 1.4
  • Conjecture 1.5
  • Theorem 1.6
  • Conjecture 1.7
  • Definition 2.1: $\mathsf{CD}(K,N)$ condition
  • Definition 2.2: Midpoints
  • Definition 2.3: Brunn--Minkowski inequality
  • ...and 89 more