English
Related papers

Related papers: The Gauss Image Problem with Weak Aleksandrov Cond…

200 papers

We construct two particular solutions of the full Euler system which emanate from the same initial data. Our aim is to show that the convex combination of these two solutions form a measure-valued solution which may not be approximated by a…

Analysis of PDEs · Mathematics 2020-10-01 Václav Mácha , Emil Wiedemann

It is by now well-known that one can recover a potential in the wave equation from the knowledge of the initial waves, the boundary data and the flux on a part of the boundary satisfying the Gamma-conditions of J.-L. Lions. We are…

Analysis of PDEs · Mathematics 2011-10-21 Lucie Baudouin , Sylvain Ervedoza

In this paper we investigate the reverse isoperimetric inequality with respect to the Gaussian measure for convex sets in $\mathbb{R}^{2}$. While the isoperimetric problem for the Gaussian measure is well understood, many relevant aspects…

Analysis of PDEs · Mathematics 2025-03-28 Friedemann Brock , Francesco Chiacchio

We consider the Monge-Kantorovich optimal transportation problem between two measures, one of which is a weighted sum of Diracs. This problem is traditionally solved using expensive geometric methods. It can also be reformulated as an…

Numerical Analysis · Mathematics 2014-08-05 Jean-David Benamou , Brittany D. Froese

In this paper we address the graph matching problem. Following the recent works of \cite{zaslavskiy2009path,Vestner2017} we analyze and generalize the idea of concave relaxations. We introduce the concepts of conditionally concave and…

Optimization and Control · Mathematics 2018-12-27 Haggai Maron , Yaron Lipman

For an underactuated (simple) Hamiltonian system with two degrees of freedom and one degree of underactuation, a rather general condition that ensures its stabilizability, by means of the existence of a (simple) Lyapunov function, was found…

Optimization and Control · Mathematics 2019-04-29 Sergio Grillo , Leandro Salomone , Marcela Zuccalli

We consider geometrical optimization problems related to optimizing the error probability in the presence of a Gaussian noise. One famous questions in the field is the "weak simplex conjecture". We discuss possible approaches to it, and…

Metric Geometry · Mathematics 2017-01-30 Alexey Balitskiy , Roman Karasev , Alexander Tsigler

Double averaged planar restricted elliptic three-body problem has a two-parametric family of stable equilibria. We show that these equilibria are stable in the linear approximation as equilibria of the double averaged spatial restricted…

Dynamical Systems · Mathematics 2018-04-05 Anatoly Neishtadt , Kaicheng Sheng , Vladislav Sidorenko

In his 1985 survey of notions of exchangeability, Aldous introduced a form of exchangeability corresponding to the symmetries of the infinite discrete cube, and asked whether these exchangeable probability measures enjoy a representation…

Probability · Mathematics 2008-08-19 Tim Austin

In this letter we show that although the application of standard Lyapunov analysis predicts that completely integrable Kepler motion is unstable, the geometrical analysis of Horwitz et al [1] predicts the observed stability. This seems to…

Classical Physics · Physics 2010-10-22 A. Yahalom , J. Levitan , M. Lewkowicz , L. Horwitz

This paper is devoted to present an approximation of a Cauchy problem for Friedrichs' systems under convex constraints. It is proved the strong convergence in L^2\_{loc} of a parabolic-relaxed approximation towards the unique constrained…

Analysis of PDEs · Mathematics 2015-06-01 Jean-François Babadjian , Clément Mifsud , Nicolas Seguin

Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image must be second order differentiable. To tackle these three…

Computer Vision and Pattern Recognition · Computer Science 2021-01-21 Yuanhao Gong , Wenming Tang , Lebin Zhou , Lantao Yu , Guoping Qiu

We prove Gaussian approximation theorems for specific $k$-dimensional marginals of convex bodies which possess certain symmetries. In particular, we treat bodies which possess a 1-unconditional basis, as well as simplices. Our results…

Metric Geometry · Mathematics 2009-01-09 Mark W. Meckes

In computed tomography, data consist of measurements of the attenuation of X-rays passing through an object. The goal is to reconstruct the linear attenuation coefficient of the object's interior. For each position of the X-ray source,…

Robust statistical inference often faces a severe computational-statistical gap when dealing with complex parameter spaces. We investigate minimax signal detection in the Gaussian sequence model under strong $\epsilon$-contamination, where…

Statistics Theory · Mathematics 2026-05-13 Yikun Li , Matey Neykov

Illumination variation remains a central challenge in object detection and recognition. Existing analyses of illumination variation typically pertain to convex, Lambertian objects, and guarantee quality of approximation in an average case…

Computer Vision and Pattern Recognition · Computer Science 2013-07-05 Yuqian Zhang , Cun Mu , Han-wen Kuo , John Wright

We consider a generalization of the hyperplane problem to arbitrary measures in place of volume and to sections of lower dimensions. We prove this generalization for unconditional convex bodies and for duals of bodies with bounded volume…

Metric Geometry · Mathematics 2015-03-24 Alexander Koldobsky

Motivated by the relative differential geometry, where the Euclidean normal vector of hypersurfaces is generalized by a relative normalization, we introduce anisotropic area measures of convex bodies, constructed with respect to a gauge…

Metric Geometry · Mathematics 2025-06-17 Rolf Schneider

It was shown recently by Cordoba, Faraco and Gancedo that the 2D porous media equation admits weak solutions with compact support in time. The proof, based on the convex integration framework, uses ideas from the theory of laminates, in…

Analysis of PDEs · Mathematics 2011-03-02 László Székelyhidi

Recent results in Compressive Sensing have shown that, under certain conditions, the solution to an underdetermined system of linear equations with sparsity-based regularization can be accurately recovered by solving convex relaxations of…

Computer Vision and Pattern Recognition · Computer Science 2012-01-19 Dheeraj Singaraju , Ehsan Elhamifar , Roberto Tron , Allen Y. Yang , S. Shankar Sastry