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At the end of 19-th century, 1874, Hermann Schwartz found that for every point inside a planar disk, a two-dimensional Poisson Kernel can be written as a ratio of two segments, which he called as the geometric interpretation of that Kernel…

Complex Variables · Mathematics 2014-11-10 Sergei Artamoshin

We present a geometric algorithm to compute the geometric kernel of a generic polyhedron. The geometric kernel (or simply kernel) is definedas the set of points from which the whole polyhedron is visible. Whilst the computation of the…

Computational Geometry · Computer Science 2021-10-28 Tommaso Sorgente , Silvia Biasotti , Michela Spagnuolo

In this paper we consider the kernel of the radially deformed Fourier transform introduced in the context of Clifford analysis in [10]. By adapting the Laplace transform method from [4], we obtain the Laplace domain expressions of the…

Classical Analysis and ODEs · Mathematics 2024-08-09 Hendrik De Bie , Ze Yang

We present a variety of geometrical and combinatorial tools that are used in the study of geometric structures on surfaces: volume, contact, symplectic, complex and almost complex structures. We start with a series of local rigidity results…

Complex Variables · Mathematics 2024-02-28 Norbert A'Campo , Athanase Papadopoulos

The geometric kernel (or simply the kernel) of a polyhedron is the set of points from which the whole polyhedron is visible. Whilst the computation of the kernel for a polygon has been largely addressed in the literature, fewer methods have…

Computational Geometry · Computer Science 2022-02-15 Tommaso Sorgente , Silvia Biasotti , Michela Spagnuolo

The general theory of parabolic geometries is applied to the study of the normal Cartan connections for all hyperbolic and elliptic 6-dimensional CR-manifolds of codimension two. The geometric meaning of the individual components of the…

Differential Geometry · Mathematics 2007-05-23 Gerd Schmalz , Jan Slovak

The problem of recovering geometric properties of a domain from the trace of the heat kernel for an initial-boundary value problem arises in NMR microscopy and other applications. It is similar to the problem of ``hearing the shape of a…

Mathematical Physics · Physics 2007-05-23 Z. Schuss , A. Spivak

This note contributes to a circle of ideas that we have been developing recently in which we view certain abstract operator algebras $H^{\infty}(E)$, which we call Hardy algebras, and which are noncommutative generalizations of classical…

Operator Algebras · Mathematics 2007-07-13 Paul S. Muhly , Baruch Solel

We present twelve numerical methods for evaluation of objects and concepts from Poisson geometry. We describe how each method works with examples, and explain how it is executed in code. These include methods that evaluate Hamiltonian and…

Differential Geometry · Mathematics 2021-08-03 M. Evangelista-Alvarado , J. C. Ruíz-Pantaleón , P. Suárez-Serrato

The supersymmetric Poisson Sigma model is studied as a possible worldsheet realization of generalized complex geometry. Generalized complex structures alone do not guarantee non-manifest N=(2,1) or N=(2,2) supersymmetry, but a certain…

High Energy Physics - Theory · Physics 2009-11-10 L. Bergamin

Geometric algebra was initiated by W.K. Clifford over 130 years ago. It unifies all branches of physics, and has found rich applications in robotics, signal processing, ray tracing, virtual reality, computer vision, vector field processing,…

Rings and Algebras · Mathematics 2013-06-10 Eckhard Hitzer

We consider surfaces embedded in a Riemannian manifold of arbitrary dimension and prove that many aspects of their differential geometry can be expressed in terms of a Poisson algebraic structure on the space of smooth functions of the…

Differential Geometry · Mathematics 2010-01-13 Joakim Arnlind , Jens Hoppe , Gerhard Huisken

Symplectic and Poisson geometry emerged as a tool to understand the mathematical structure behind classical mechanics. However, due to its huge development over the past century, it has become an independent field of research in…

Symplectic Geometry · Mathematics 2024-11-20 Ivan Contreras , Diego Martinez , Nicolas Martinez , Diego Rodriguez

We provide a geometric interpretation to Bayesian inference that allows us to introduce a natural measure of the level of agreement between priors, likelihoods, and posteriors. The starting point for the construction of our geometry is the…

Methodology · Statistics 2018-05-24 Miguel de Carvalho , Garritt L. Page , Bradley J. Barney

We present a general method which can be used for geometrical and physical interpretation of an arbitrary spacetime in four or any higher number of dimensions. It is based on the systematic analysis of relative motion of free test…

General Relativity and Quantum Cosmology · Physics 2015-06-03 Jiri Podolsky , Robert Svarc

In analogy with the Poisson algebra of the quadratic forms on the symplectic plane, and the notion of duality in the projective plane introduced by Arnold in \cite{Arn}, where the concurrence of the triangle altitudes is deduced from the…

Metric Geometry · Mathematics 2010-12-10 Francesca Aicardi

We prove that the Riemannian geometry of almost K\"ahler manifolds can be expressed in terms of the Poisson algebra of smooth functions on the manifold. Subsequently, K\"ahler-Poisson algebras are introduced, and it is shown that a…

Differential Geometry · Mathematics 2012-11-15 Joakim Arnlind , Gerhard Huisken

We develop a Poisson geometric framework for studying the representation theory of all contragredient quantum super groups at roots of unity. This is done in a uniform fashion by treating the larger class of quantum doubles of bozonizations…

Quantum Algebra · Mathematics 2023-03-16 Nicolás Andruskiewitsch , Iván Angiono , Milen Yakimov

We derive basic differential geometric formulae for surfaces in hyperbolic space represented as envelopes of horospheres. The dual notion of parallel hypersurfaces is also studied. The representation is applied to prove existence and…

Differential Geometry · Mathematics 2025-07-01 Charles L. Epstein

Neural operators are neural network-based surrogate models for approximating solution operators of parametric partial differential equations, enabling efficient many-query computations in science and engineering. Many applications,…

Numerical Analysis · Mathematics 2026-02-03 Mingyu Han , Daniel Zhengyu Huang , Yuhan Wang , Yanshu Zhang , Jiayi Zhou
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