English

Tunneling estimates and approximate controllability for hypoelliptic equations

Analysis of PDEs 2017-04-03 v1 Optimization and Control Spectral Theory

Abstract

This article is concerned with quantitative unique continuation estimates for equations involving a "sum of squares" operator L\mathcal{L} on a compact manifold M\mathcal{M} assuming: (i)(i) the Chow-Rashevski-H\"ormander condition ensuring the hypoellipticity of L\mathcal{L}, and (ii)(ii) the analyticity of M\mathcal{M} and the coefficients of L\mathcal{L}. The first result is the tunneling estimate φL2(ω)Ceλk2\|\varphi\|_{L^2(\omega)} \geq Ce^{- \lambda^{\frac{k}{2}}} for normalized eigenfunctions φ\varphi of L\mathcal{L} from a nonempty open set ωM\omega\subset \mathcal{M}, where kk is the hypoellipticity index of L\mathcal{L} and λ\lambda the eigenvalue. The main result is a stability estimate for solutions to the hypoelliptic wave equation (t2+L)u=0(\partial_t^2+\mathcal{L})u=0: for T>2supxM(dist(x,ω))T>2 \sup_{x \in \mathcal{M}}(dist(x,\omega)) (here, distdist is the sub-Riemannian distance), the observation of the solution on (0,T)×ω(0,T)\times \omega determines the data. The constant involved in the estimate is CecΛkCe^{c\Lambda^k} where Λ\Lambda is the typical frequency of the data. We then prove the approximate controllability of the hypoelliptic heat equation (t+L)v=1ωf(\partial_t+\mathcal{L})v=1_\omega f in any time, with appropriate (exponential) cost, depending on kk. In case k=2k=2 (Grushin, Heisenberg...), we further show approximate controllability to trajectories with polynomial cost in large time. We also explain how the analyticity assumption can be relaxed, and a boundary M\partial \mathcal{M} can be added in some situations. Most results turn out to be optimal on a family of Grushin-type operators. The main proof relies on the general strategy developed by the authors in arxiv:1506.04254.

Keywords

Cite

@article{arxiv.1703.10797,
  title  = {Tunneling estimates and approximate controllability for hypoelliptic equations},
  author = {Camille Laurent and Matthieu Léautaud},
  journal= {arXiv preprint arXiv:1703.10797},
  year   = {2017}
}
R2 v1 2026-06-22T19:03:21.266Z