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Lisbon WADE — Webinar in Analysis and Differential Equations   RSS

Barbara Brandolini 30/06/2020, 16:00 — 17:00 — Online
, Università Degli Studi di Napoli Federico II

Sharp lower bounds for Neumann eigenvalues

We will discuss lower bounds for the first non-trivial Neumann eigenvalue $\mu_1(\Omega)$ of the $p$-Laplace operator ($p \gt 1$) in a Lipschitz, bounded domain $\Omega$ in $\mathbb{R}^n$. In 1960 Payne and Weinberger proved that, when $\Omega$ is convex and $p = 2$, then \begin{equation}\label{eq:1}\mu_1(\Omega) \geq \frac{\pi^2}{d(\Omega)^2},\end{equation} where $d(\Omega)$ is the diameter of $\Omega$. The above estimate is asymptotically sharp, since $\mu_1(\Omega)d(\Omega)^2$ tends to $\pi^2$ for a parallelepiped all but one of whose dimensions shrink to $0$. On the other hand, it does not hold true in general for non-convex sets. In this talk we will focus on the non-convex setting. We will consider an arbitrary Lipschitz, bounded domain $\Omega$ in $\mathbb{R}^n$ and we will show a sharp lower bound for $\mu_1(\Omega)$ which, differently from \eqref{eq:1}, involves the best isoperimetric constant relative to $\Omega$ and is sharp, at least when $p = n = 2$, as the isoperimetric constant relative to $\Omega$ goes to $0$. Moreover, in a suitable class of convex planar domains, our estimate will turn out to be better than \eqref{eq:1}.

Furthermore, we will see that, when $p = n = 2$ and $\Omega$ consists of the points on one side of a smooth curve $\gamma$, within a suitable distance $\delta$ from it, then $\mu_1(\Omega)$ can be sharply estimated from below in terms of the length of $\gamma$, the $L^\infty$ norm of its curvature and $\delta$.

See also

Brandolini_Lisbon_WADE.pdf

Further Information:

The slides of the last talk, by Tatsuya Miura, can be found here.

Other upcoming talks: Elvira Zappale (July 9 , 4pm) and Pavel Exner (July 14, 4pm).

Projecto FCT UIDB/04459/2020.

Projecto FCT UIDB/04459/2020.


All seminars will take place in the Zoom platform which you need to install (although you don't need to register). In order to get the password to access the seminars, please subscribe the announcements or contact the organizers.

Organizers: Hugo Tavares, James Kennedy and Nicolas Van Goethem

Joint iniciative of the research centers CAMGSD, CMAFcIO and GFM.

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