arXiv Open Access 2020

Fast generation of Gaussian random fields for direct numerical simulations of stochastic transport

D. I. Palade M. Vlad

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Abstrak

We propose a novel discrete method of constructing Gaussian Random Fields (GRF) based on a combination of modified spectral representations, Fourier and Blob. The method is intended for Direct Numerical Simulations of the V-Langevin equations. The latter are stereotypical descriptions of anomalous stochastic transport in various physical systems. From an Eulerian perspective, our method is designed to exhibit improved convergence rates. From a Lagrangian perspective, our method others a pertinent description of particle trajectories in turbulent velocity fields: the exact Lagrangian invariant laws are well reproduced. From a computational perspective, our method is twice as fast as standard numerical representations.

Topik & Kata Kunci

physics.comp-ph physics.plasm-ph

Penulis (2)

D. I. Palade

M. Vlad

Format Sitasi

APA MLA BibTeX

Palade, D.I., Vlad, M. (2020). Fast generation of Gaussian random fields for direct numerical simulations of stochastic transport. https://arxiv.org/abs/2006.11106

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓