An averaging principle for stochastic fractional differential equations with time-delays
In this article, we investigate a class of stochastic fractional differential equations (SFDEs) with time-delays. Under some novel assumptions, we obtain an averaging principle for the solution of the considered system. Finally, an example with numerical
Shenghong Li, Zhiguo Luo, Danfeng Luo
exaly +2 more sources
In this research work, we use the concepts of contraction mapping to establish the existence and uniqueness results and also study the averaging principle in Lp space by using Jensen’s, Grönwall–Bellman’s, Hölder’s, and Burkholder–Davis–Gundy’s ...
Abdelhamid Mohammed Djaouti +3 more
doaj +2 more sources
Periodic averaging principle in quantum calculus
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Martin Bohner, Jaqueline Godoy Mesquita
exaly +3 more sources
Conditional McKean-Vlasov SDEs with jumps and Markovian regime-switching: wellposedness, propagation of chaos, averaging principle [PDF]
We investigate the conditional McKean-Vlasov stochastic differential equations with jumps and Markovian regime-switching. We establish the strong wellposedness using L2-Wasser-stein distance on the Wasserstein space. Also, we establish the propagation of
J. Shao, Taoran Tian, Shen Wang
semanticscholar +1 more source
Strong convergence rates in averaging principle for slow-fast McKean-Vlasov SPDEs [PDF]
In this paper, we aim to study the asymptotic behaviour for a class of McKean-Vlasov stochastic partial differential equations with slow and fast time-scales.
Wei Hong, Shihu Li, Wei Liu
semanticscholar +1 more source
The average enzyme principle [PDF]
The Michaelis–Menten equation for an irreversible enzymatic reaction depends linearly on the enzyme concentration. Even if the enzyme concentration changes in time, this linearity implies that the amount of substrate depleted during a given time interval depends only on the average enzyme concentration.
Reznik, Ed +2 more
openaire +2 more sources
Averaging Principles for Markovian Models of Plasticity [PDF]
Mathematical models of biological neural networks are associated to a rich and complex class of stochastic processes. In this paper, we consider a simple {\em plastic} neural network whose {\em connectivity/synaptic strength} $(W(t))$ depends on a set of activity-dependent processes to model {\em synaptic plasticity}, a well-studied mechanism from ...
Robert, Philippe, Vignoud, Gaëtan
openaire +3 more sources
Moderate Averaged Deviations for a Multi-Scale System with Jumps and Memory
This work studies a two-time-scale functional system given by two jump diffusions under the scale separation by a small parameter ε→0. The coefficients of the equations that govern the dynamics of the system depend on the segment process of the slow ...
André de Oliveira Gomes, Pedro Catuogno
doaj +1 more source
An Averaging Principle for Mckean–Vlasov-Type Caputo Fractional Stochastic Differential Equations
In this paper, we want to establish an averaging principle for Mckean–Vlasov-type Caputo fractional stochastic differential equations with Brownian motion.
Weifeng Wang +3 more
doaj +1 more source
The Order of Convergence in the Averaging Principle for Slow-Fast Systems of Stochastic Evolution Equations in Hilbert Spaces [PDF]
In this work we are concerned with the study of the strong order of convergence in the averaging principle for slow-fast systems of stochastic evolution equations in Hilbert spaces with additive noise.
Filippo de Feo
semanticscholar +1 more source

