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We study a random aggregation process involving rectangular clusters. In each aggregation event, two rectangles are chosen at random and if they have a compatible side, either vertical or horizontal, they merge along that side to form a…

Statistical Mechanics · Physics 2018-10-17 D. S. Ben-Naim , E. Ben-Naim , P. L. Krapivsky

We describe the immediate extensions of a one dimensional valuation ring $V$ which could be embedded in some separation of a ultrapower of $V$ with respect to a certain ultrafilter. For such extensions holds a kind of Artin's approximation.

Commutative Algebra · Mathematics 2020-11-17 Dorin Popescu

Given a smooth simply connected planar domain, the area is bounded away from zero in terms of the maximal curvature alone. We show that in higher dimensions this is not true, and for a given maximal mean curvature we provide smooth…

Optimization and Control · Mathematics 2016-04-21 Vincenzo Ferone , Carlo Nitsch , Cristina Trombetti

A comprehensive approach to Sobolev-type embeddings, involving arbitrary rearrangement- invariant norms on the entire Euclidean space R^n, is offered. In particular, the optimal target space in any such embedding is exhibited. Crucial in…

Functional Analysis · Mathematics 2017-12-01 Angela Alberico , Andrea Cianchi , Lubos Pick , Lenka Slavikova

In this article, we give a unified proof of the end-point estimates of the totally-geodesic $k$-plane transform of radial functions on spaces of constant curvature. The problem of getting end-point estimates is not new and some results are…

Functional Analysis · Mathematics 2025-07-29 Aniruddha Deshmukh , Ashisha Kumar

We give estimates on the intrinsic and the extrinsic curvature of manifolds that are isometrically immersed as cylindrically bounded submanifolds of warped products. We also address extensions of the results in the case of submanifolds of…

Differential Geometry · Mathematics 2010-09-20 L. J. Alias , G. P. Bessa , J. F. Montenegro , P. Piccione

A step 2 branching decomposition of spaces of homogeneous Hermitian monogenic polynomials in C^n is established with explicit embedding factors in terms of the generalized Jacobi polynomials, which allows for an inductive construction of an…

Complex Variables · Mathematics 2013-05-17 F. Brackx , H. De Schepper , R. Lavicka , V. Soucek

Large collections of high-dimensional data have become nearly ubiquitous across many academic fields and application domains, ranging from biology to the humanities. Since working directly with high-dimensional data poses challenges, the…

We study relations of some classes of $k$-convex, $k$-visible bodies in Euclidean spaces. We introduce and study \textrm{circular projections} in normed linear spaces and classes of bodies related with families of such maps, in particular,…

Metric Geometry · Mathematics 2015-12-31 V. Golubyatnikov V. Rovenski

We prove a.s. (almost sure) unisolvency of interpolation by continuous random sampling with respect to any given density, in spaces of multivariate a.e. (almost everywhere) analytic functions. Examples are given concerning polynomial and…

Numerical Analysis · Mathematics 2023-03-27 Francesco Dell'Accio , Alvise Sommariva , Marco Vianello

This paper is a continuation of the papers [2,3,4,5,6]. In this paper the osculating spaces of arbitrary order of a manifold embedded in Euclidean space are considered. A better estimation of their dimensions as well as the description of…

General Mathematics · Mathematics 2025-01-28 Kostadin Trencevski

We study the relationship between the areas of the consecutive quadrilaterals cut from a convex quadrilateral in the plane by means of a finite or infinite number of straight lines intersecting two of its opposite sides. Moreover, we obtain…

History and Overview · Mathematics 2023-11-28 Oleg Mushkarov , Nikolai Nikolov

We investigate potential spaces associated with Jacobi expansions. We prove structural and Sobolev-type embedding theorems for these spaces. We also establish their characterizations in terms of suitably defined fractional square functions.…

Classical Analysis and ODEs · Mathematics 2015-12-31 Bartosz Langowski

We revisit Pollard's classical result on consistency for $k$-means clustering in Euclidean space, with a focus on extensions in two directions: first, to problems where the data may come from interesting geometric settings (e.g., Riemannian…

Statistics Theory · Mathematics 2025-07-01 Adam Quinn Jaffe

In this paper we obtain a sharp height estimate concerning compact hypersurfaces immersed into warped product spaces with some constant higher order mean curvature, and whose boundary is contained into a slice. We apply these results to…

Differential Geometry · Mathematics 2013-07-08 Sandra C. García-Martínez , Debora Impera , Marco Rigoli

This note concerns the area growth and bottom spectrum of complete stable minimal surfaces in a three-dimensional manifold with scalar curvature bounded from below. When the ambient manifold is the Euclidean space, by an elementary…

Differential Geometry · Mathematics 2022-05-04 Ovidiu Munteanu , Chiung-Jue Anna Sung , Jiaping Wang

In this survey we collect some recent advances concerning embedding theorems in analytic and harmonic function spaces of several variables in various domains in $C^n.$ Some sharp embedding results presented in this survey paper extend sharp…

Complex Variables · Mathematics 2025-08-28 R. F. Shamoyan , M. G. Bashmakova

We prove that every arc-analytic semialgebraic function on an arc-symmetric set admits an arc-analytic semialgebraic extension to the whole ambient Euclidean space.

Algebraic Geometry · Mathematics 2018-01-19 Janusz Adamus , Hadi Seyedinejad

For an orbifold, there is a notion of an orbifold embedding, which is more general than the one of sub-orbifolds. We develop several properties of orbifold embeddings. In the case of translation groupoids, we show that such a notion is…

Geometric Topology · Mathematics 2018-05-31 Cheol-Hyun Cho , Hansol Hong , Hyung-Seok Shin

The regression depth of a hyperplane with respect to a set of n points in R^d is the minimum number of points the hyperplane must pass through in a rotation to vertical. We generalize hyperplane regression depth to k-flats for any k between…

Computational Geometry · Computer Science 2010-01-21 Marshall Bern , David Eppstein