Theory of Probability and Mathematical Statistics
The Burgers-type equation driven by a stochastic measure
Vadym Radchenko
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Abstract: We study the one-dimensional equation driven by a stochastic measure μ. For μ we assume only σ-additivity in probability. Our results imply the global existence and uniqueness of the solution to the heat equation and the local existence and uniqueness of the solution to the Burgers equation. The averaging principle for such equation is studied.
Keywords: Stochastic Burgers equation, stochastic heat equation, stochastic measure, mild solution, averaging principle
Bibliography: I. M. Bodnarchuk, Regularity of the mild solution of a parabolic equation with a random measure, Ukraïn. Mat. Zh. 69 (2017), no. 1, 3–16 (Ukrainian, with English and Russian summaries); English transl., Ukrainian Math. J. 69 (2017), no. 1, 1–18. MR 3631616, DOI 10.1007/s11253-017-1344-4
Iryna Bodnarchuk, Averaging principle for a stochastic cable equation, Mod. Stoch. Theory Appl. 7 (2020), no. 4, 449–467. MR 4195646, DOI 10.15559/20-vmsta168
I. M. Bodnarchuk and V. M. Radchenko, A wave equation in a three-dimensional space controlled by a general stochastic measure, Teor. Ĭmovīr. Mat. Stat. 100 (2019), 43–59 (Ukrainian, with English, Russian and Ukrainian summaries); English transl., Theory Probab. Math. Statist. 100 (2020), 43–60. MR 3992992, DOI 10.1090/tpms/1097
Z. Dong and T. G. Xu, One-dimensional stochastic Burgers equation driven by Lévy processes, J. Funct. Anal. 243 (2007), no. 2, 631–678. MR 2289699, DOI 10.1016/j.jfa.2006.09.010
István Gyöngy, Existence and uniqueness results for semilinear stochastic partial differential equations, Stochastic Process. Appl. 73 (1998), no. 2, 271–299. MR 1608641, DOI 10.1016/S0304-4149(97)00103-8
István Gyöngy and David Nualart, On the stochastic Burgers’ equation in the real line, Ann. Probab. 27 (1999), no. 2, 782–802. MR 1698967, DOI 10.1214/aop/1022677386
István Gyöngy and Carles Rovira, On stochastic partial differential equations with polynomial nonlinearities, Stochastics Stochastics Rep. 67 (1999), no. 1-2, 123–146. MR 1717799, DOI 10.1080/17442509908834205
Niels Jacob, Alexander Potrykus, and Jiang-Lun Wu, Solving a non-linear stochastic pseudo-differential equation of Burgers type, Stochastic Process. Appl. 120 (2010), no. 12, 2447–2467. MR 2728173, DOI 10.1016/j.spa.2010.08.007
Stanisław Kwapień and Wojbor A. Woyczyński, Random series and stochastic integrals: single and multiple, Probability and its Applications, Birkhäuser Boston, Inc., Boston, MA, 1992. MR 1167198, DOI 10.1007/978-1-4612-0425-1
Peter Lewis and David Nualart, Stochastic Burgers’ equation on the real line: regularity and moment estimates, Stochastics 90 (2018), no. 7, 1053–1086. MR 3854527, DOI 10.1080/17442508.2018.1478834
Boris Manikin, Averaging principle for the one-dimensional parabolic equation driven by stochastic measure, Mod. Stoch. Theory Appl. 9 (2022), no. 2, 123–137. MR 4420680, DOI 10.15559/21-vmsta195
Sara Mazzonetto and Diyora Salimova, Existence, uniqueness, and numerical approximations for stochastic Burgers equations, Stoch. Anal. Appl. 38 (2020), no. 4, 623–646. MR 4112739, DOI 10.1080/07362994.2019.1709503
Jean Mémin, Yulia Mishura, and Esko Valkeila, Inequalities for the moments of Wiener integrals with respect to a fractional Brownian motion, Statist. Probab. Lett. 51 (2001), no. 2, 197–206. MR 1822771, DOI 10.1016/S0167-7152(00)00157-7
S. Peszat and J. Zabczyk, Stochastic partial differential equations with Lévy noise, Encyclopedia of Mathematics and its Applications, vol. 113, Cambridge University Press, Cambridge, 2007. An evolution equation approach. MR 2356959, DOI 10.1017/CBO9780511721373
Vadym Radchenko, Mild solution of the heat equation with a general stochastic measure, Studia Math. 194 (2009), no. 3, 231–251. MR 2539554, DOI 10.4064/sm194-3-2
V. M. Radchenko, Evolution equations driven by general stochastic measures in Hilbert space, Theory Probab. Appl. 59 (2015), no. 2, 328–339. MR 3416054, DOI 10.1137/S0040585X97T987119
Vadym Radchenko, Averaging principle for the heat equation driven by a general stochastic measure, Statist. Probab. Lett. 146 (2019), 224–230. MR 3885229, DOI 10.1016/j.spl.2018.11.024
Vadym Radchenko, Strong convergence rate in averaging principle for the heat equation driven by a general stochastic measure, Commun. Stoch. Anal. 13 (2019), no. 2, Art. 1, 17. MR 4002769, DOI 10.31390/cosa.13.2.01
—, General stochastic measures: Integration, path properties, and equations, Wiley–ISTE, London, 2022.
—, The Burgers equation driven by a stochastic measure, Mod. Stoch. Theory Appl. (2023), 1–18.
—, Transport equation driven by a stochastic measure, Mod. Stoch. Theory Appl. (2023), 1–13.
Gennady Samorodnitsky and Murad S. Taqqu, Stable non-Gaussian random processes, Stochastic Modeling, Chapman & Hall, New York, 1994. Stochastic models with infinite variance. MR 1280932
Guangjun Shen, Jiang-Lun Wu, and Xiuwei Yin, Averaging principle for fractional heat equations driven by stochastic measures, Appl. Math. Lett. 106 (2020), 106404, 9. MR 4090373, DOI 10.1016/j.aml.2020.106404
Constantin Tudor, On the Wiener integral with respect to a sub-fractional Brownian motion on an interval, J. Math. Anal. Appl. 351 (2009), no. 1, 456–468. MR 2472957, DOI 10.1016/j.jmaa.2008.10.041
Shenglan Yuan, Dirk Blömker, and Jinqiao Duan, Stochastic turbulence for Burgers equation driven by cylindrical Lévy process, Stoch. Dyn. 22 (2022), no. 2, Paper No. 2240004, 32. MR 4431443, DOI 10.1142/S0219493722400044
Guoli Zhou, Lidan Wang, and Jiang-Lun Wu, Global well-posedness of 2D stochastic Burgers equations with multiplicative noise, Statist. Probab. Lett. 182 (2022), Paper No. 109315, 6. MR 4347488, DOI 10.1016/j.spl.2021.109315