Asymptotics for stochastic reaction–diffusion equation driven by subordinate Brownian motion
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DOI: 10.1016/j.spa.2017.08.010
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References listed on IDEAS
- Dong, Zhao & Xu, Tiange & Zhang, Tusheng, 2009. "Invariant measures for stochastic evolution equations of pure jump type," Stochastic Processes and their Applications, Elsevier, vol. 119(2), pages 410-427, February.
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- Zhang, Xicheng, 2013. "Derivative formulas and gradient estimates for SDEs driven by α-stable processes," Stochastic Processes and their Applications, Elsevier, vol. 123(4), pages 1213-1228.
- Gourcy, Mathieu, 2007. "A large deviation principle for 2D stochastic Navier-Stokes equation," Stochastic Processes and their Applications, Elsevier, vol. 117(7), pages 904-927, July.
- Wu, Liming, 2001. "Large and moderate deviations and exponential convergence for stochastic damping Hamiltonian systems," Stochastic Processes and their Applications, Elsevier, vol. 91(2), pages 205-238, February.
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Cited by:
- Liu, Xianming, 2022. "Limits of invariant measures of stochastic Burgers equations driven by two kinds of α-stable processes," Stochastic Processes and their Applications, Elsevier, vol. 146(C), pages 1-21.
- Ankit Kumar & Manil T. Mohan, 2023. "Large Deviation Principle for Occupation Measures of Stochastic Generalized Burgers–Huxley Equation," Journal of Theoretical Probability, Springer, vol. 36(1), pages 661-709, March.
- Xu, Lihu, 2018. "Singular integrals of stable subordinator," Statistics & Probability Letters, Elsevier, vol. 139(C), pages 115-118.
- Hu, Shulan & Wang, Ran, 2020. "Asymptotics of stochastic Burgers equation with jumps," Statistics & Probability Letters, Elsevier, vol. 162(C).
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Keywords
Stochastic reaction–diffusion equation; Subordinate Brownian motions; Large deviation principle; Occupation measure;All these keywords.
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