Abstract

The paper considers reduction problems and deformation approaches for nonstationary covariance functions on the $(d-1)$-dimensional spheres, $\mathbb{S}^{d-1}$, embedded in the $d$-dimensional Euclidean space. Given a covariance function $C$ on $\mathbb{S}^{d-1}$, we chase a pair $(R,\Psi)$, for a function $R:[-1,+1]\to \mathbb{R}$ and a smooth bijection $\Psi$, such that $C$ can be reduced to a geodesically isotropic one: $C(\mathbf{x},\mathbf{y})=R(\langle \Psi (\mathbf{x}),\Psi (\mathbf{y})\rangle )$, with $\langle \cdot ,\cdot \rangle $ denoting the dot product. The problem finds motivation in recent statistical literature devoted to the analysis of global phenomena, defined typically over the sphere of $\mathbb{R}^{3}$. The application domains considered in the manuscript makes the problem mathematically challenging. We show the uniqueness of the representation in the reduction problem. Then, under some regularity assumptions, we provide an inversion formula to recover the bijection $\Psi$, when it exists, for a given $C$. We also give sufficient conditions for reducibility.

Highlights

  • Introduction and statement of the problemPositive definite functions are fundamental to mathematics, probability and statistics

  • The advent of massive data sets distributed over the whole planet Earth has motivated several scientists to study modeling strategies for random fields defined over the sphere of R3 representing our planet

  • The increasing interest in modeling stochastic processes over spheres or spheres cross time with an explicit covariance function is reflected in works in areas as diverse as mathematical analysis, spatial and space-time statistics, and we refer the reader to the recent reviews by Gneiting (2013), Jeong et al (2017), Porcu et al (2018) and Porcu et al (2019) for a comprehensive account

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Summary

Introduction and statement of the problem

Positive definite functions are fundamental to mathematics, probability and statistics Their use has become ubiquitous in many areas of applied sciences, and we refer the reader to Porcu et al (2018) and Porcu et al (2019) for recent overviews as well as for collections of open problems and statistical implications. The increasing interest in modeling stochastic processes over spheres or spheres cross time with an explicit covariance function is reflected in works in areas as diverse as mathematical analysis, spatial and space-time statistics, and we refer the reader to the recent reviews by Gneiting (2013), Jeong et al (2017), Porcu et al (2018) and Porcu et al (2019) for a comprehensive account. Characterization of covariance functions being geodesically isotropic on Sd−1 has been available thanks to Schoenberg (1942).

Motivation and statement of the problem
Examples of isotropic fields undergoing parametric deformations
The case of the circle
The case of the sphere S2
Notations and auxiliary results
Suitable diffeomorphism extensions
Orthogonal matrices
Extending C to Dε
Rephrasing Problem 1 within the domain Dε
Some remarks
An example of reducibility in S1
An example of reducibility in S2
Sufficient conditions for local reducibility
Full Text
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