Uncertainty Quantification for the Homogeneous Landau–Fokker–Planck Equation via Deterministic Particle Galerkin Methods

We design a deterministic particle method for the solution of the spatially homogeneous Landau equation with uncertainty. The deterministic particle approximation is based on the reformulation of the Landau equation as a formal gradient flow on the set of probability measures, whereas the propagation of uncertain quantities is computed by means of a stochastic Galerkin (sG) representation of each particle. This approach guarantees spectral accuracy in uncertainty space while preserving the fundamental structural properties of the model: the positivity of the solution, the conservation of invariant quantities, and the entropy dissipation. We provide a regularity result for the particle method in the random space. We perform the numerical validation of the particle method in a wealth of test cases.

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Publication Details

Journal
Multiscale Modeling and Simulation
Published
2025-04-02
DOI
https://doi.org/10.1137/23m1623653
Citations
4
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
5.59

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article

Uncertainty Quantification for the Homogeneous Landau–Fokker–Planck Equation via Deterministic Particle Galerkin Methods

José A. Carrillo, Rafael Bailo, Andrea Medaglia, Mattia Zanella
4 citations
Multiscale Modeling and Simulation
Probabilistic and Robust Engineering Design
5.59
article

Uncertainty Quantification for the Homogeneous Landau–Fokker–Planck Equation via Deterministic Particle Galerkin Methods

José A. Carrillo, Rafael Bailo, Andrea Medaglia, Mattia Zanella
article en
4 citations

Abstract

We design a deterministic particle method for the solution of the spatially homogeneous Landau equation with uncertainty. The deterministic particle approximation is based on the reformulation of the Landau equation as a formal gradient flow on the set of probability measures, whereas the propagation of uncertain quantities is computed by means of a stochastic Galerkin (sG) representation of each particle. This approach guarantees spectral accuracy in uncertainty space while preserving the fundamental structural properties of the model: the positivity of the solution, the conservation of invariant quantities, and the entropy dissipation. We provide a regularity result for the particle method in the random space. We perform the numerical validation of the particle method in a wealth of test cases.

Multiscale Modeling and SimulationVol. 23(2)
University of Pavia (IT), University of Oxford (GB), Eindhoven University of Technology (NL)
Istituto Nazionale di Alta Matematica "Francesco Severi", European Commission, Ministero dell’Istruzione, dell’Università e della Ricerca, Horizon 2020 Framework Programme, Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni, Gruppo Nazionale per la Fisica Matematica, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 4%
Probabilistic and Robust Engineering Design
5.59
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Uncertainty Quantification for the Homogeneous Landau–Fokker–Planck Equation via Deterministic Particle Galerkin Methods — José A. Carrillo, Rafael Bailo, et al. · Multiscale Modeling and Simulation (2025) | TGRS Research Map | TGRS