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Related papers: Generalized Monge gauge

200 papers

We give a definition of generalized hypergeometric functions over finite fields using modified Gauss sums, which enables us to find clear analogy with classical hypergeometric functions over the complex numbers. We study their fundamental…

Number Theory · Mathematics 2023-08-03 Noriyuki Otsubo

We study generalized symmetries in a simplified arena in which the usual quantum field theories of physics are replaced with topological field theories and the smooth structure with which the symmetry groups of physics are usually endowed…

High Energy Physics - Theory · Physics 2023-03-29 Ben Gripaios , Oscar Randal-Williams , Joseph Tooby-Smith

The spherometer used for measuring radius of curvature of spherical surfaces is explicitly based on a geometric relation unique to circles and spheres. We present an alternate approach using coordinate geometry, which reproduces the…

General Physics · Physics 2013-09-10 Sameen Ahmed Khan

We will generalize the concept of aggregation function for mathematical structures as a certain function between quantales. In fact, these functions turn to be exactly the lax morphism of quantales. This provides a global framework for the…

Category Theory · Mathematics 2026-04-30 Alejandro Fructuoso-Bonet , Jesús Rodríguez-López

Special generic maps are generalizations of Morse functions with exactly two singular points on spheres and canonical projections of unit spheres. They restrict the manifolds of the domains strongly in considerable cases and are important…

Algebraic Topology · Mathematics 2023-03-01 Naoki Kitazawa

In this paper we study constant mean curvature surfaces $\Sigma$ in a product space, $\mathbb{M}^2\times \mathbb{R}$, where $\mathbb{M}^2$ is a complete Riemannian manifold. We assume the angle function $\nu = \meta{N}{\partial_t}$ does not…

Differential Geometry · Mathematics 2008-08-27 Jose M. Espinar , Harold Rosenberg

Generalised Hermite-Gaussian modes (gHG modes), an extended notion of Hermite-Gaussian modes (HG modes), are formed by the summation of normal HG modes with a characteristic function $\alpha$, which can be used to unite conventional HG…

Optics · Physics 2016-07-20 Yi Wang , Yujie Chen , Yanfeng Zhang , Hui Chen , Siyuan Yu

This paper presents a somewhat exhaustive study on the conformable fractional Gauss hypergeometric function (CFGHF). We start by solving the conformable fractional Gauss hypergeometric equation (CFGHE) about the fractional regular singular…

Classical Analysis and ODEs · Mathematics 2020-09-28 Mahmoud Abul-Ez , Mohra Zayed , Ali Youssef

We prove curvature estimates for general curvature functions. As an application we show the existence of closed, strictly convex hypersurfaces with prescribed curvature $F$, where the defining cone of $F$ is $\C_+$. $F$ is only assumed to…

Differential Geometry · Mathematics 2009-10-19 Claus Gerhardt

The gauge principle is at the heart of a good part of fundamental physics: Starting with a group G of so-called rigid symmetries of a functional defined over space-time Sigma, the original functional is extended appropriately by additional…

High Energy Physics - Theory · Physics 2015-11-23 Alexei Kotov , Thomas Strobl

This paper studies Monge parameterization, or differential flatness, of control-affine systems with four states and twocontrols. Some of them are known to be flat, and this implies admitting a Monge parameterization. Focusing on systems…

Optimization and Control · Mathematics 2011-12-14 David Avanessoff , Jean-Baptiste Pomet

We define a generalized mass for asymptotically flat manifolds using some higher order symmetric function of the curvature tensor. This mass is non-negative when the manifold is locally conformally flat and the $\sigma_k$ curvature vanishes…

General Relativity and Quantum Cosmology · Physics 2014-10-14 YanYan Li , Luc Nguyen

We prove the existence of solutions for the Monge minimization problem, addressed in a metric measure space $(X,d,m)$ enjoying the Riemannian curvature-dimension condition $\RCD(K,N)$, with $N < \infty$. For the first marginal measure, we…

Metric Geometry · Mathematics 2013-10-16 Fabio Cavalletti

Fractional Gaussian fields are scalar-valued random functions or generalized functions on an $n$-dimensional manifold $M$, indexed by a parameter $s$. They include white noise ($s = 0$), Brownian motion ($s=1, n=1$), the 2D Gaussian free…

Probability · Mathematics 2024-06-28 Sky Cao , Scott Sheffield

Generalizing the notion of domains of dependence in the Minkowski space, we define and study regular domains in the affine space with respect to a proper convex cone. In dimension three, we show that every proper regular domain is uniquely…

Differential Geometry · Mathematics 2023-07-04 Xin Nie , Andrea Seppi

We introduce and study the notion of a generalised Hecke orbit in a Shimura variety. We define a height function on such an orbit and study its properties. We obtain a lower bounds for the size of Galois orbits of points in a generalised…

Number Theory · Mathematics 2023-07-18 Rodolphe Richard , Andrei Yafaev

Finite gauge transformations in double field theory can be defined by the exponential of generalized Lie derivatives. We interpret these transformations as `generalized coordinate transformations' in the doubled space by proposing and…

High Energy Physics - Theory · Physics 2015-06-05 Olaf Hohm , Barton Zwiebach

A height-function-based numerical approach is developed for enforcing contact angles on flat and curved solid surfaces within two-dimensional volume-of-fluid simulations. This method incorporates the contact line position into the curvature…

Fold maps are fundamental tools in the theory of singularities of differentiable maps and its applications to geometry. They are higher dimensional variants of Morse functions. Classes of special generic maps and round fold maps are…

General Topology · Mathematics 2021-06-22 Naoki Kitazawa

Sleeve functions are generalizations of the well-established ridge functions that play a major role in the theory of partial differential equation, medical imaging, statistics, and neural networks. Where ridge functions are non-linear,…

Numerical Analysis · Mathematics 2021-09-15 Robert Beinert