Quantitative stochastic homogenization of the G equation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability,Analysis
Link
https://link.springer.com/content/pdf/10.1007/s00440-022-01175-4.pdf
Reference22 articles.
1. Alexander, K.S.: Approximation of subadditive functions and convergence rates in limitingshape results. Ann. Probab. 25(1), 30–55 (1997). https://doi.org/10.1214/aop/1024404277
2. Armstrong, S., Cardaliaguet, P., Souganidis, P.: Error estimates and convergence rates for the stochastic homogenization of Hamilton–Jacobi equations. J. Am. Math. Soc. 27(2), 479–540 (2014). https://doi.org/10.1090/S0894-0347-2014-00783
3. Barles, G.: Solutions de viscosité des équations de Hamilton–Jacobi, vol. 17. Springer, New York (1994)
4. Burago, D., Ivanov, S., Novikov, A.: Feeble fish in time-dependent waters and homogenization of the G-equation. Commun. Pure Appl. Math. 73(7), 1453–1489 (2020). https://doi.org/10.1002/cpa.21878
5. Capuzzo-Dolcetta, I., Ishii, H.: On the rate of convergence in homogenization of Hamilton–Jacobi equations. Indiana Univ. Math. J. 50(3), 1113–1129 (2001)
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