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We prove that E. De Giorgi's conjecture for the nonlocal approximation of free-discontinuity problems extends to the case of functionals defined in terms of the symmetric gradient of the admissible field. After introducing a suitable class…

Analysis of PDEs · Mathematics 2025-10-06 Stefano Almi , Elisa Davoli , Anna Kubin , Emanuele Tasso

We study a new discretization of the Gaussian curvature for polyhedral surfaces. This discrete Gaussian curvature is defined on each conical singularity of a polyhedral surface as the quotient of the angle defect and the area of the Voronoi…

Metric Geometry · Mathematics 2024-03-01 Hana Dal Poz Kouřimská

We consider a class of Gaussian Free Fields denoted by $(g_x)_{x \in {\cal V}_N}$, where $ {\cal V}_N = \{0,1\}^N$ and $N\in \mathbb{Z}_+$. These fields are related to a general class of $N$-dimensional random walks on the hypercube, which…

Probability · Mathematics 2025-10-22 Robert Griffiths

We define a scaling limit of the height function on the domino tiling model (dimer model) on simply-connected regions in Z^2 and show that it is the ``massless free field'', a Gaussian process with independent coefficients when expanded in…

Mathematical Physics · Physics 2007-05-23 R. Kenyon

We investigate the notion of curvature in the context of Liouville quantum gravity (LQG) surfaces. We define the Gaussian curvature for LQG, which we conjecture is the scaling limit of discrete curvature on random planar maps. Motivated by…

Probability · Mathematics 2024-06-14 Andres Contreras Hip , Ewain Gwynne

Conformal symmetry is taken as an attribute of theories of massless fields in manifolds with specific dimensionalities. This paper shows that this is not an absolute truth; it is a consequence of the mathematical representation used for the…

High Energy Physics - Theory · Physics 2007-05-23 Manoelito M de Souza

We consider both the infinite-volume discrete Gaussian Free Field (DGFF) and the DGFF with zero boundary conditions outside a finite box in dimension larger or equal to 3. We show that the associated extremal process converges to a Poisson…

Probability · Mathematics 2015-05-21 Alberto Chiarini , Alessandra Cipriani , Rajat Subhra Hazra

In this paper, we introduce a new discretization of the Gaussian curvature on surfaces, which is defined as the quotient of the angle defect and the area of some dual cell of a weighted triangulation at the conic singularity. A discrete…

Differential Geometry · Mathematics 2023-09-12 Xu Xu , Chao Zheng

We construct a natural discrete random field on $\mathbb{Z}^{d}$, $d\geq 5$ that converges weakly to the bi-Laplacian Gaussian field in the scaling limit. The construction is based on assigning i.i.d. Bernoulli random variables on each…

Probability · Mathematics 2013-12-03 Xin Sun , Wei Wu

In this paper, we extend the Generalized Finite Difference Method (GFDM) on unknown compact submanifolds of the Euclidean domain, identified by randomly sampled data that (almost surely) lie on the interior of the manifolds. Theoretically,…

Numerical Analysis · Mathematics 2023-07-18 Shixiao W. Jiang , Rongji Li , Qile Yan , John Harlim

Noncommutative geometry(NCG) on the discrete space successfully reproduces the Higgs mechanism of the spontaneously broken gauge theory, in which the Higgs boson field is regarded as a kind of gauge field on the discrete space. We could…

High Energy Physics - Theory · Physics 2014-11-18 Yoshitaka Okumura

We consider Gaussian subordinated L\'evy fields (GSLFs) that arise by subordinating L\'evy processes with positive transformations of Gaussian random fields on some spatial domain $\mathcal{D}\subset \mathbb{R}^d$, $d\geq 1$. The resulting…

Probability · Mathematics 2022-08-03 Robin Merkle , Andrea Barth

The main goal of this paper is to study the formal geometry of dg manifolds \`a la Fedosov. For any dg manifold $(\mathcal{M}, Q)$, we construct a Fedosov dg foliation (or dg Lie algebroid) $\mathcal{F}_Q \to \mathcal{N}_Q$. We establish…

Differential Geometry · Mathematics 2025-11-18 Hsuan-Yi Liao , Mathieu Stiénon , Ping Xu

In this paper, we study a random field constructed from the two-dimensional Gaussian free field (GFF) by modifying the variance along the scales in the neighborhood of each point. The construction can be seen as a local martingale transform…

Probability · Mathematics 2022-05-25 Louis-Pierre Arguin , Frédéric Ouimet

The physical meaning, the properties and the consequences of a discrete scalar field are discussed; limits for the validity of a mathematical description of fundamental physics in terms of continuous fields are a natural outcome of discrete…

High Energy Physics - Theory · Physics 2007-05-23 Manoelito M. de Souza

Given a Gaussian Markov random field, we consider the problem of selecting a subset of variables to observe which minimizes the total expected squared prediction error of the unobserved variables. We first show that finding an exact…

Machine Learning · Computer Science 2012-09-27 Satyaki Mahalanabis , Daniel Stefankovic

Let $T$ be a random field invariant under the action of a compact group $G$. In the line of previous work we investigate properties of the Fourier coefficients as orthogonality and Gaussianity. In particular we give conditions ensuring that…

Probability · Mathematics 2013-04-19 Paolo Baldi , Stefano Trapani

We assume that the points in volumes smaller than an elementary volume (which may have a Planck size) are indistinguishable in any physical experiment. This naturally leads to a picture of a discrete space with a finite number of degrees of…

High Energy Physics - Theory · Physics 2026-01-07 Ali H. Chamseddine , Viatcheslav Mukhanov

Though the underlying fields associated with vector-valued environmental data are continuous, observations themselves are discrete. For example, climate models typically output grid-based representations of wind fields or ocean currents,…

Methodology · Statistics 2025-07-29 Michael Gillan , Stefan Siegert , Ben Youngman

We establish a martingale-type characterisations for the continuum Gaussian free field (GFF) and for fractional Gaussian free fields (FGFs), using their connection to the stochastic heat equation and to fractional stochastic heat equations.…

Probability · Mathematics 2025-05-05 Juhan Aru , Guillaume Woessner