Journal article
Uncertainty quantification for the homogeneous Landau-Fokker-Planck equation via deterministic particle Galerkin methods
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 2.7MB, Terms of use)
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- Publisher copy:
- 10.1137/23m1623653
Authors
- Publisher:
- Society for Industrial and Applied Mathematics
- Journal:
- Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal More from this journal
- Volume:
- 23
- Issue:
- 2
- Pages:
- 687-710
- Publication date:
- 2025-04-02
- Acceptance date:
- 2024-11-27
- DOI:
- EISSN:
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1540-3467
- ISSN:
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1540-3459
- Language:
-
English
- Keywords:
- Pubs id:
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1582555
- Local pid:
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pubs:1582555
- Deposit date:
-
2024-12-09
Terms of use
- Copyright holder:
- Society for Industrial and Applied Mathematics
- Copyright date:
- 2025
- Rights statement:
- © 2025 Society for Industrial and Applied Mathematics.
- Notes:
-
The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
This is the accepted manuscript version of the article. The final version is available online from Society for Industrial and Applied Mathematics at https://dx.doi.org/10.1137/23m1623653
- Licence:
- CC Attribution (CC BY)
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