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Stochastic two-scale convergence and Young measures
- Publication Year :
- 2021
- Publisher :
- Weierstrass Institute, 2021.
-
Abstract
- In this paper we compare the notion of stochastic two-scale convergence in the mean (by Bourgeat, Mikeli\'c and Wright), the notion of stochastic unfolding (recently introduced by the authors), and the quenched notion of stochastic two-scale convergence (by Zhikov and Pyatnitskii). In particular, we introduce stochastic two-scale Young measures as a tool to compare mean and quenched limits. Moreover, we discuss two examples, which can be naturally analyzed via stochastic unfolding, but which cannot be treated via quenched stochastic two-scale convergence.<br />Comment: 30 pages. arXiv admin note: substantial text overlap with arXiv:1805.09546
- Subjects :
- Statistics and Probability
74Q10
Applied Mathematics
74Q05, 47J30
Probability (math.PR)
General Engineering
Stochastic homogenization
two-scale convergence
Computer Science Applications
Mathematics - Analysis of PDEs
35K57
Young measures
FOS: Mathematics
49J40
Mathematics - Probability
unfolding
Analysis of PDEs (math.AP)
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....45aee11ef6934b95451bbf1ca6beea1c
- Full Text :
- https://doi.org/10.20347/wias.preprint.2885