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Sharp subelliptic estimates in the $\bar\partial$-Neumann problem via an uncertainty principle

Gian Maria Dall'Ara, Samuele Mongodi

Abstract

The problem of giving a (CR-)geometric description of the best possible order of a subelliptic estimate at a boundary point in the $\bar\partial$-Neumann problem is largely open. In this paper, we introduce a novel technique based on a "$\bar\partial$-uncertainty principle" and, as an application, we determine the sharp order of subellipticity at the origin for a large class of Kohn's special domains in ambient dimension $\leq 5$.

Sharp subelliptic estimates in the $\bar\partial$-Neumann problem via an uncertainty principle

Abstract

The problem of giving a (CR-)geometric description of the best possible order of a subelliptic estimate at a boundary point in the -Neumann problem is largely open. In this paper, we introduce a novel technique based on a "-uncertainty principle" and, as an application, we determine the sharp order of subellipticity at the origin for a large class of Kohn's special domains in ambient dimension .
Paper Structure (31 sections, 24 theorems, 180 equations)

This paper contains 31 sections, 24 theorems, 180 equations.

Key Result

Proposition 2.3

Let $s\leq 1$. Suppose that there exist a positive constant $C\geq 1$ such that the estimate holds for every $\xi\geq C$ and $u\in C_c^\infty(\{|z|<C^{-1}\})$. Then the $\overline{\partial}$-Neumann problem on the rigid domain satisfies a subelliptic estimate of order $s$ at the origin.

Theorems & Definitions (52)

  • Definition 1.1: Sharp order of subellipticity
  • Definition 2.1
  • Remark 2.2
  • Proposition 2.3: Spectral gap estimates imply subellipticity
  • Proposition 2.4: $\mathbf{E}^{\varphi}$ behaves well under scalings
  • proof
  • Proposition 2.5: Reduction to a boundary subelliptic estimate
  • proof
  • Remark 2.6
  • Proposition 2.7: Basic identities
  • ...and 42 more