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Isotropic Gaussian random fields on the sphere: regularity, fast simulation, and stochastic partial differential equations

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TLDR
In this article, rates of convergence of their finitely truncated Karhunen-Lo-ve expansions in terms of the covariance spectrum are established, and algorithmic aspects of fast sample generation via fast Fourier transforms on the sphere are indicated.
Abstract
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Lo\`{e}ve expansions with respect to the spherical harmonic functions and the angular power spectrum The smoothness of the covariance is connected to the decay of the angular power spectrum and the relation to sample H\"{o}lder continuity and sample differentiability of the random fields is discussed Rates of convergence of their finitely truncated Karhunen-Lo\`{e}ve expansions in terms of the covariance spectrum are established, and algorithmic aspects of fast sample generation via fast Fourier transforms on the sphere are indicated The relevance of the results on sample regularity for isotropic Gaussian random fields and the corresponding lognormal random fields on the sphere for several models from environmental sciences is indicated Finally, the stochastic heat equation on the sphere driven by additive, isotropic Wiener noise is considered, and strong convergence rates for spectral discretizations based on the spherical harmonic functions are proven

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Journal ArticleDOI

Padé-parametric FEM approximation for fractional powers of elliptic operators on manifolds

Beiping Duan
TL;DR: In this paper , a parametric finite element method is employed to discretize the original problem and then approximate fractional powers of the discrete elliptic operator by the product of rational functions, each of which is a diagonal Padé approximation for the corresponding power function.
Journal ArticleDOI

Surface Finite Element Approximation of Spherical Whittle--Matérn Gaussian Random Fields

TL;DR: In this paper , the authors considered spherical Whittle-Mat\'ern Gaussian random fields as solutions to fractional elliptic stochastic partial differential equations on the sphere, where the non-fractional part of the operator is solved by a recursive scheme, a quadrature of the Dunford--Taylor integral representation is employed for the fractional part.
Journal ArticleDOI

A Note on the Derivatives of Isotropic Positive Definite Functions on the Hilbert Sphere

TL;DR: In this article, a recursive formula for the derivatives of isotropic positive definite functions on the Hilbert sphere was given, and it was used to prove a conjecture stated by Trubner and Ziegel.
Journal ArticleDOI

Gaussian Process for Radiance Functions on the S2$\mathbb {S}^2$ Sphere

TL;DR: This paper resorts to a Gaussian Process (GP), a highly flexible function modelling tool, which has received little attention in rendering, and makes an extensive analysis of the application of GPs to incident radiance functions, addressing crucial issues such as robust hyperparameter learning, or selecting the covariance function which better suits incident Radiance functions.
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Strong Local Nondeterminism and Exact Modulus of Continuity for Isotropic Gaussian Random Fields on Compact Two-Point Homogeneous Spaces

TL;DR: In this paper , sample path properties of real-valued isotropic Gaussian fields on compact two-point homogeneous spaces were studied and an exact uniform modulus of continuity for its sample paths was established.
References
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Book

Orthogonal polynomials

Gábor Szegő
Posted Content

Orthogonal Polynomials

Vilmos Totik
TL;DR: In this paper, different aspects of the theory of orthogonal polynomials of one (real or complex) variable are reviewed and orthogonality on the unit circle is not discussed.
Journal ArticleDOI

Higher Transcendental Functions

Thomas M. Macrobert
- 01 Feb 1955 - 
TL;DR: Higher Transcendental Functions Based on notes left by the late Prof. Harry Bateman, and compiled by the Staff of the Bateman Project as discussed by the authors, are presented in Table 1.
Book

Theory of function spaces

Hans Triebel
TL;DR: In this article, the authors measure smoothness using Atoms and Pointwise Multipliers, Wavelets, Spaces on Lipschitz Domains, Wavelet and Sampling Numbers.
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