Large deviation principle for the mean reflected stochastic differential equation with jumps
Abstract In this paper, we establish a large deviation principle for a mean reflected stochastic differential equation driven by both Brownian motion and Poisson random measure. The weak convergence method plays an important role.
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-10-01
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Series: | Journal of Inequalities and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13660-018-1889-2 |