Central limit theorem and moderate deviation principle for stochastic scalar conservation laws

Zhengyan Wu, Rangrang Zhang*

*Corresponding author for this work

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Abstract

We establish a central limit theorem and prove a moderate deviation principle for stochastic scalar conservation laws. Because of the lack of a viscous term, this is done in the framework of the kinetic solution. The weak convergence method and the doubling of variables method play a key role.

Original languageEnglish
Article number126445
JournalJournal of Mathematical Analysis and Applications
Volume516
Issue number1
DOIs
Publication statusPublished - 1 Dec 2022

Keywords

  • Central limit theorem
  • Doubling of variables method
  • Kinetic solution
  • Moderate deviation principle
  • Stochastic scalar conservation laws
  • Weak convergence method

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Wu, Z., & Zhang, R. (2022). Central limit theorem and moderate deviation principle for stochastic scalar conservation laws. Journal of Mathematical Analysis and Applications, 516(1), Article 126445. https://doi.org/10.1016/j.jmaa.2022.126445