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Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations

Numerical Analysis 2022-08-26 v1 Numerical Analysis Probability

Abstract

To model subsurface flow in uncertain heterogeneous\ fractured media an elliptic equation with a discontinuous stochastic diffusion coefficient - also called random field - may be used. In case of a one-dimensional parameter space, L\'evy processes allow for jumps and display great flexibility in the distributions used. However, in various situations (e.g. microstructure modeling), a one-dimensional parameter space is not sufficient. Classical extensions of L\'evy processes on two parameter dimensions suffer from the fact that they do not allow for spatial discontinuities. In this paper a new subordination approach is employed to generate L\'evy-type discontinuous random fields on a two-dimensional spatial parameter domain. Existence and uniqueness of a (pathwise) solution to a general elliptic partial differential equation is proved and an approximation theory for the diffusion coefficient and the corresponding solution provided. Further, numerical examples using a Monte Carlo approach on a Finite Element discretization validate our theoretical results.

Keywords

Cite

@article{arxiv.2011.09311,
  title  = {Subordinated Gaussian Random Fields in Elliptic Partial Differential Equations},
  author = {Andrea Barth and Robin Merkle},
  journal= {arXiv preprint arXiv:2011.09311},
  year   = {2022}
}

Comments

34 pages, 16 figures

R2 v1 2026-06-23T20:20:48.218Z