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We improve some recent results of Sagiv and Steinerberger that quantify the following uncertainty principle: for a function $f$ with mean zero, either the size of the zero set of the function or the cost of transporting the mass of the…

Classical Analysis and ODEs · Mathematics 2021-06-29 Tom Carroll , Xavier Massaneda , Joaquim Ortega-Cerdà

Simultaneous measurements of position and momentum are considered in $n$ dimensions. We find, that for a particle whose position is strictly localized in a compact domain $D\subset \mathbb{R}^n$ (spatial uncertainty) with non-empty…

Quantum Physics · Physics 2017-04-21 Thomas Schürmann

The goal of the paper is four-fold. In the setting of non-smooth spaces with Ricci curvature lower bounds (more precisely RCD(K,N) metric measure spaces): - we develop an intrinsic theory of Laplacian bounds in viscosity sense and in a…

Differential Geometry · Mathematics 2023-02-17 Andrea Mondino , Daniele Semola

By using optimal mass transport theory we prove a sharp isoperimetric inequality in ${\sf CD} (0,N)$ metric measure spaces assuming an asymptotic volume growth at infinity. Our result extends recently proven isoperimetric inequalities for…

Differential Geometry · Mathematics 2022-02-22 Zoltán M. Balogh , Alexandru Kristály

We prove a quantitative uncertainty principle at low energies for the Laplacian on fairly general weighted graphs with a uniform explicit control of the constants in terms of geometric quantities. A major step consists in establishing lower…

Functional Analysis · Mathematics 2018-04-02 Daniel Lenz , Peter Stollmann , Gunter Stolz

Let $M$ be a compact, connected Riemannian manifold whose Riemannian volume measure is denoted by $\sigma$. Let $f: M \rightarrow \mathbb{R}$ be a non-constant eigenfunction of the Laplacian. The random wave conjecture suggests that in…

Spectral Theory · Mathematics 2019-06-17 Bo'az Klartag

In the paper we prove two inequalities in the setting of ${\sf RCD}(K,\infty)$ spaces using similar techniques. The first one is an indeterminacy estimate involving the $p$-Wasserstein distance between the positive part and the negative…

Differential Geometry · Mathematics 2022-02-08 Nicolò De Ponti , Sara Farinelli

We study the size of nodal sets of Laplacian eigenfunctions on compact Riemannian manifolds without boundary and recover the currently optimal lower bound by comparing the heat flow of the eigenfunction with that of an artifically…

Analysis of PDEs · Mathematics 2015-07-06 Stefan Steinerberger

We prove estimates for eigenfunctions on a manifold equipped with a smooth metric. We use these estimates in order estimate the size of their nodal sets.

Analysis of PDEs · Mathematics 2013-10-30 Demetrios A. Pliakis

In the framework of (possibly non-smooth) metric measure spaces with Ricci curvature bounded below by a positive constant in a synthetic sense, we establish a sharp and rigid reverse-H\"older inequality for first eigenfunctions of the…

Differential Geometry · Mathematics 2022-11-11 Mustafa Alper Gunes , Andrea Mondino

Let $\mathbb{M}$ be a compact $C^\infty$-smooth Riemannian manifold of dimension $n$, $n\geq 3$, and let $\varphi_\lambda: \Delta_M \varphi_\lambda + \lambda \varphi_\lambda = 0$ denote the Laplace eigenfunction on $\mathbb{M}$…

Analysis of PDEs · Mathematics 2019-05-28 Alexander Logunov

The uncertainty principle lemma for the Laplacian on Euclidean spaces shows the borderline-behavior of a potential for the following question : whether the Schr\"odinger operator has a finite or infinite number of the discrete pectrum. In…

Differential Geometry · Mathematics 2009-01-13 Kazuo Akutagawa , Hironori Kumura

In this paper we give pinching theorems for the first nonzero eigenvalue of the Laplacian on the compact hypersurfaces of ambient spaces with bounded sectional curvature. As application we deduce rigidity results for stable constant mean…

Differential Geometry · Mathematics 2017-02-22 Jean-Francois Grosjean , Julien Roth

In this paper, we study the overdetermined problem for the p-Laplacian equation on a compact Riemannian manifold with positive Ricci curvature. By introducing a new P-function which is related to the first nonzero eigenvalue for…

Analysis of PDEs · Mathematics 2025-12-23 Guangyue Huang , Chunlei Luo , Hongru Song

We establish uncertainty principles on compact Riemannian manifolds without boundary in the setting of Laplace-Beltrami operators, including the case of real-valued singular potentials. We replace the classical homogeneity assumption by a…

Classical Analysis and ODEs · Mathematics 2026-04-20 A. Iosevich , C. Park

We revise the extended uncertainty relations for the Rindler and Friedmann spacetimes recently discussed by Dabrowski and Wagner in [9]. We reveal these results to be coordinate dependent expressions of the invariant uncertainty relations…

General Relativity and Quantum Cosmology · Physics 2020-02-18 Thomas Schürmann

Using the localization technique, we prove a sharp upper bound on the first Dirichlet eigenvalue of metric balls in essentially non-branching $\mathsf{CD}^{\star}(K,N)$ spaces. This extends a celebrated result of Cheng to the non-smooth…

Spectral Theory · Mathematics 2025-08-06 G. Bruno De Luca , Nicolò De Ponti , Andrea Mondino , Alessandro Tomasiello

We introduce a proximal subdifferential and develop a calculus for nonsmooth functions defined on any Riemannian manifold $M$. We give several applications of this theory, concerning: 1) differentiability and geometrical properties of the…

Differential Geometry · Mathematics 2007-05-23 Daniel Azagra , Juan Ferrera

The goal of the paper is to prove an exact representation formula for the Laplacian of the distance (and more generally for an arbitrary 1-Lipschitz function) in the framework of metric measure spaces satisfying Ricci curvature lower bounds…

Metric Geometry · Mathematics 2020-11-18 Fabio Cavalletti , Andrea Mondino

The problem of establishing out-of-sample bounds for the values of an unkonwn ground-truth function is considered. Kernels and their associated Hilbert spaces are the main formalism employed herein along with an observational model where…

Machine Learning · Computer Science 2022-09-13 Paul Scharnhorst , Emilio T. Maddalena , Yuning Jiang , Colin N. Jones
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