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In general relativity, spatial light rays of static spherically symmetric spacetimes are geodesics of surfaces in Riemannian optical geometry. In this paper, we apply results on the isoperimetric problem to show that length-minimizing…

General Relativity and Quantum Cosmology · Physics 2019-02-07 Henri P. Roesch , Marcus C. Werner

A sharp phase transition emerges in convex programs when solving the linear inverse problem, which aims to recover a structured signal from its linear measurements. This paper studies this phenomenon in theory under Gaussian random…

Information Theory · Computer Science 2018-01-04 Huan Zhang , Yulong Liu , Hong Lei

Bayesian approach to inverse problems is studied in the case where the forward map is a linear hypoelliptic pseudodifferential operator and measurement error is additive white Gaussian noise. The measurement model for an unknown Gaussian…

Statistics Theory · Mathematics 2016-07-20 Hanne Kekkonen , Matti Lassas , Samuli Siltanen

We consider the problem of projecting a convex set onto a subspace, or equivalently formulated, the problem of computing a set obtained by applying a linear mapping to a convex feasible set. This includes the problem of approximating convex…

Optimization and Control · Mathematics 2024-12-11 Gabriela Kováčová , Birgit Rudloff

We consider the metric transformation of metric measure spaces/pyramids. We clarify the conditions to obtain the convergence of the sequence of transformed spaces from that of the original sequence, and, conversely, to obtain the…

Metric Geometry · Mathematics 2020-08-11 Daisuke Kazukawa

We extend several Cheeger-type isoperimetric bounds for convex sets in Euclidean space, due to Bobkov and Kannan-Lov\'asz-Simonovits, to Riemannian manifolds having non-negative Ricci curvature. In order to extend Bobkov's bound, we require…

Functional Analysis · Mathematics 2011-05-06 Emanuel Milman

We revisit the problem of bounding the expected supremum of a canonical Gaussian process indexed by a convex set $T \subset \mathbf{R}^d$. We develop two decompositions for the Gaussian width, based on the geometry of the index set. The…

Probability · Mathematics 2026-03-04 Reese Pathak , Nikita Zhivotovskiy

In this paper we prove the existence of isoperimetric regions of any volume in Riemannian manifolds with Ricci bounded below assuming Gromov--Hausdorff asymptoticity to the suitable simply connected model of constant sectional curvature.…

Differential Geometry · Mathematics 2022-09-07 Gioacchino Antonelli , Mattia Fogagnolo , Marco Pozzetta

In this paper we consider a partial overdetermined mixed boundary value problem in domains inside a cone as in [18]. We show that in cones having an isoperimetric property the only domains which admit a solution and which minimize a…

Analysis of PDEs · Mathematics 2019-05-27 Filomena Pacella , Giulio Tralli

In this paper, we consider the isoperimetric problem in the space $\mathbb{R}^N$ with density. Our result states that, if the density f is l.s.c. and converges to a positive limit at infinity, being smaller than this limit far from the…

Analysis of PDEs · Mathematics 2014-11-20 Guido De Philippis , Giovanni Franzina , Aldo Pratelli

In this paper the author studies the isoperimetric problem in $\re^n$ with perimeter density $|x|^p$ and volume density $1.$ We settle completely the case $n=2,$ completing a previous work by the author: we characterize the case of equality…

Differential Geometry · Mathematics 2017-06-30 Gyula Csato

We show the existence of Lebesgue-equivalent conservative and ergodic $\sigma$-finite invariant measures for a wide class of one-dimensional random maps consisting of piecewise convex maps. We also estimate the size of invariant measures…

Dynamical Systems · Mathematics 2023-03-21 Tomoki Inoue , Hisayoshi Toyokawa

This work is concerned with the convergence of Gaussian process regression. A particular focus is on hierarchical Gaussian process regression, where hyper-parameters appearing in the mean and covariance structure of the Gaussian process…

Numerical Analysis · Mathematics 2020-07-20 Aretha L Teckentrup

This work studies the Geometric Jensen-Shannon divergence, based on the notion of geometric mean of probability measures, in the setting of Gaussian measures on an infinite-dimensional Hilbert space. On the set of all Gaussian measures…

Probability · Mathematics 2025-06-13 Minh Ha Quang , Frank Nielsen

We prove stability estimates for the isoperimetric inequalities for the first and the second nonzero Laplace eigenvalues on surfaces, both globally and in a fixed conformal class. We employ the notion of eigenvalues of measures and show…

Differential Geometry · Mathematics 2021-06-30 Mikhail Karpukhin , Mickaël Nahon , Iosif Polterovich , Daniel Stern

The geometry of inverse semigroups is a natural topic of study, motivated both from within semigroup theory and by applications to the theory of non-commutative $C^*$-algebras. We study the relationship between the geometry of an inverse…

Group Theory · Mathematics 2025-12-04 Mark Kambites , Nóra Szakács

In this paper, we prove that isotropic Gaussian functions are \textit{characterized} by a rearrangement inequality for weighted perimeter in dimensions $n \geq 2$ within the class of non-negative weights in $L^1(\mathbb{R}^n) \cap…

Classical Analysis and ODEs · Mathematics 2025-04-09 Sean McCurdy , Kuan-Ting Yeh

We observe after Bayle and Rosales that the Levy-Gromov isoperimetric inequality generalizes to convex manifolds with boundary.

Differential Geometry · Mathematics 2007-10-11 Frank Morgan

We survey recent results on inverse problems for geodesic X-ray transforms and other linear and non-linear geometric inverse problems for Riemannian metrics, connections and Higgs fields defined on manifolds with boundary.

Differential Geometry · Mathematics 2018-06-19 Joonas Ilmavirta , François Monard

In this paper, several discrete schemes for Gaussian curvature are surveyed. The convergence property of a modified discrete scheme for the Gaussian curvature is considered. Furthermore, a new discrete scheme for Gaussian curvature is…

Computer Vision and Pattern Recognition · Computer Science 2008-04-09 Zhiqiang Xu , Guoliang Xu