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Convex geometry has recently attracted great attention as a framework to formulate general probabilistic theories. In this framework, convex sets and affine maps represent the state spaces of physical systems and the possible dynamics,…

Geometric Topology · Mathematics 2015-06-10 Gen Kimura , Koji Nuida

We construct several stable finite element pairs for the Stokes problem on barycentric refinements in arbitrary dimensions. A key feature of the spaces is that the divergence maps the discrete velocity space onto the the discrete pressure…

Numerical Analysis · Mathematics 2017-10-24 Johnny Guzman , Michael Neilan

We construct CW spheres from the lattices that arise as the closed sets of a convex closure, the meet-distributive lattices. These spheres are nearly polytopal, in the sense that their barycentric subdivisions are simplicial polytopes. The…

Combinatorics · Mathematics 2007-05-23 Louis J. Billera , Samuel K. Hsiao , J. Scott Provan

We quantify conditions that ensure that a signed measure on a Riemannian manifold has a well defined centre of mass. We then use this result to quantify the extent of a neighbourhood on which the Riemannian barycentric coordinates of a set…

Differential Geometry · Mathematics 2016-06-07 Ramsay Dyer , Gert Vegter , Mathijs Wintraecken

We introduce the notion centre of a convex set and study the space of continuous affine functions on a compact convex set with a centre. We show that these spaces are precisely the dual of a base normed space in which the underlying base…

Functional Analysis · Mathematics 2022-03-07 Anil Kumar Karn

In this paper, the concept of the metric matrix is introduced to establish a concise and unified formulation for the inner product in barycentric coordinates. Building on this framework, we explore the intrinsic algebraic identities of…

General Mathematics · Mathematics 2025-05-13 Xi Feng

We study the structure of the set of all possible affine hyperplane sections of a convex polytope. We present two different cell decompositions of this set, induced by hyperplane arrangements. Using our decomposition, we bound the number of…

Combinatorics · Mathematics 2025-06-02 Marie-Charlotte Brandenburg , Jesús A. De Loera , Chiara Meroni

The gradient bounds of generalized barycentric coordinates play an essential role in the $H^1$ norm approximation error estimate of generalized barycentric interpolations. Similarly, the $H^k$ norm, $k>1$, estimate needs upper bounds of…

Numerical Analysis · Mathematics 2026-05-25 Pengjie Tian , Yanqiu Wang

In this paper, we introduce new generalized barycentric coordinates (coined as {\em moment coordinates}) on nonconvex quadrilaterals and convex hexahedra with planar faces. This work draws on recent advances in constructing interpolants to…

Numerical Analysis · Mathematics 2024-01-24 Luca Dieci , Fabio V. Difonzo , N. Sukumar

Spherical and polar geometries arise in many important areas of computational science, including weather and climate forecasting, optics, and astrophysics. In these applications, tensor-product grids are often used to represent unknowns.…

Numerical Analysis · Mathematics 2024-10-10 Michael Chiwere , Grady B. Wright

This paper generalizes the result of Elmachtoub et al to any weighted barycenter, where a transformation is considered which takes an arbitrary point of division $\xi \in (0,1)$ of the segments of a polygon with $n$ vertices. We then…

Metric Geometry · Mathematics 2016-06-30 Keller VandeBogert

Counting lattice points within a rational polytope is a foundational problem with applications across mathematics and computer science. A key approach is Barvinok's algorithm, which decomposes the lattice point generating function of cones…

Combinatorics · Mathematics 2025-06-25 Sihao Tao , Guoce Xin , Zihao Zhang

Barycentric algebras are an abstraction of the notion of convex sets, defined by a set of equations. We study semitopological and topological barycentric algebras, in the spirit of a previous study by Klaus Keimel on semitopological and…

Functional Analysis · Mathematics 2026-05-22 Jean Goubault-Larrecq

This work derives a posteriori error estimate of polygonal finite element methods based on Wachspress barycentric coordinates. In particular, we prove that the classical residual-based a posteriori error estimator is both an upper and lower…

Numerical Analysis · Mathematics 2026-05-07 Yihui Zhou , Yuwen Li

Barycentric averaging is a principled way of summarizing populations of measures. Existing algorithms for estimating barycenters typically parametrize them as weighted sums of Diracs and optimize their weights and/or locations. However,…

Machine Learning · Statistics 2021-02-16 Samuel Cohen , Michael Arbel , Marc Peter Deisenroth

The farthest point map sends a point in a compact metric space to the set of points farthest from it. We focus on the case when this metric space is a convex centrally symmetric polyhedron, so that we can compose the farthest point map with…

Metric Geometry · Mathematics 2018-07-03 Zili Wang

A shape of a combinatorial polytope is a convex embedding into Euclidean space. We provide necessary and sufficient conditions for a piecewise linear map between two shapes of the same polytope to be a compression (respectively a weak…

Metric Geometry · Mathematics 2025-06-24 José Ayala , David Kirszenblat , J. Hyam Rubinstein

This paper introduces an algebraic combinatorial approach to simplicial cone decompositions, a key step in solving inhomogeneous linear Diophantine systems and counting lattice points in polytopes. We use constant term manipulation on the…

Combinatorics · Mathematics 2025-01-14 Guoce Xin , Xinyu Xu , Zihao Zhang

We give a short and simple proof of a recent result of Dobbins that any point in an $nd$-polytope is the barycenter of $n$ points in the $d$-skeleton. This new proof builds on the constraint method that we recently introduced to prove…

Metric Geometry · Mathematics 2015-11-16 Pavle V. M. Blagojević , Florian Frick , Günter M. Ziegler

We expand the basic geometric elements of the simplex method to linear programs in locally convex topological vector spaces and provide conditions under which the method converges in value to optimality. This setting generalizes many…

Optimization and Control · Mathematics 2026-04-13 Robert L Smith , Christopher Thomas Ryan