“…In the case one of section 4, we have shown that the jump noises with large positive coefficients can force the population for equation (1) to be extinct with probability one. Interestingly, we have found in the case two of section 4 that the jump noises with positive coefficients facilitate the permanence of the specie for equation (6).…”
Section: Discussionmentioning
confidence: 83%
“…From Theorem 2.7, we can obtain the following conclusions: (a) If h(t, z) > 0 for t ≥ 0 and z ∈ Z, the jump noises are favorable for the permanence of equation 6; (b) If −1 < h(t, z) < 0 for t ≥ 0 and z ∈ Z, the jump noises are unfavorable for the permanence of equation (6).…”
Section: Remarkmentioning
confidence: 94%
“…Thus, modeled with white noise cannot capture these phenomena. Introducing Lévy noises into the model may be a reasonable way to accommodate such phenomena; see [1,2,3,4,5,6,9,10,20,23,24,25,26,28,32,33,36,38]. In addition to stochastic disturbances, populations in ecology are often faced with the seasonal variations from environment and biological activity, which could be from the changes of weather, food supply, mating habits, hunting or harvesting seasons.…”
“…In the case one of section 4, we have shown that the jump noises with large positive coefficients can force the population for equation (1) to be extinct with probability one. Interestingly, we have found in the case two of section 4 that the jump noises with positive coefficients facilitate the permanence of the specie for equation (6).…”
Section: Discussionmentioning
confidence: 83%
“…From Theorem 2.7, we can obtain the following conclusions: (a) If h(t, z) > 0 for t ≥ 0 and z ∈ Z, the jump noises are favorable for the permanence of equation 6; (b) If −1 < h(t, z) < 0 for t ≥ 0 and z ∈ Z, the jump noises are unfavorable for the permanence of equation (6).…”
Section: Remarkmentioning
confidence: 94%
“…Thus, modeled with white noise cannot capture these phenomena. Introducing Lévy noises into the model may be a reasonable way to accommodate such phenomena; see [1,2,3,4,5,6,9,10,20,23,24,25,26,28,32,33,36,38]. In addition to stochastic disturbances, populations in ecology are often faced with the seasonal variations from environment and biological activity, which could be from the changes of weather, food supply, mating habits, hunting or harvesting seasons.…”
“…Note that in Lemma 4.14 and in Lemma 4.15 we do not obtain convergence of the mentioned processes in L 2 ( Ω; L 2 ([0, T ]; H)) as in e.g. [15] or [19]. The lack of such a result could pose a problem while passing to the limit n → ∞ in Step 2.…”
Section: Estimates In Fractional Sobolev Spacesmentioning
confidence: 89%
“…Interest in SPDEs with Lévy noise has been growing in the recent years, see e.g., [12], [17], [15], [42], [43]. In [13] and [52] the authors use processes with jumps to model phase transitions in bursts of wind that contribute to the dynamics of El Niño.…”
The aim of this article is to show the global existence of both martingale and pathwise solutions of stochastic equations with a monotone operator, of the Ladyzenskaya-Smagorinsky type, driven by a general Lévy noise. The classical approach based on using directly the Galerkin approximation is not valid. Instead, our approach is based on using appropriate approximations for the monotone operator, Galerkin approximations and on the theory of martingale solutions.
The rotating shallow water model is a simplification of oceanic and atmospheric general circulation models that are used in many applications such as surge prediction, tsunami tracking and ocean modelling. In this paper we introduce a class of rotating shallow water models which are stochastically perturbed in order to incorporate model uncertainty into the underlying system. The stochasticity is chosen in a judicious way, by following the principles of location uncertainty, as introduced in Mémin (Geophys Astrophys Fluid Dyn 108(2):119–146, 2014). We prove that the resulting equation is part of a class of stochastic partial differential equations that have unique maximal strong solutions. The methodology is based on the construction of an approximating sequence of models taking value in an appropriately chosen finite-dimensional Littlewood-Paley space. Finally, we show that a distinguished element of this class of stochastic partial differential equations has a global weak solution.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.