Uncertainty quantification for the BGK model of the Boltzmann equation using multilevel variance reduced Monte Carlo methods

Jingwei Hu, Lorenzo Pareschi, Yubo Wang

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

We propose a control variate multilevel Monte Carlo method for the kinetic Bhatnagar–Gross–Krook model of the Boltzmann equation subject to random inputs. The method combines a multilevel Monte Carlo technique with the computation of the optimal control variate multipliers derived from local or global variance minimization problems. Consistency and convergence analysis for the method equipped with a second-order positivity-preserving and asymptotic-preserving scheme in space and time is also performed. Various numerical examples confirm that the optimized multilevel Monte Carlo method outperforms the classical multilevel Monte Carlo method especially for problems with discontinuities.

Original languageEnglish
Pages (from-to)650-680
Number of pages31
JournalSIAM-ASA Journal on Uncertainty Quantification
Volume9
Issue number2
DOIs
StatePublished - 2021
Externally publishedYes

Keywords

  • BGK model
  • Control variate method
  • Kinetic equation
  • Multilevel Monte Carlo method
  • Random inputs
  • Uncertainty quantification

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