scholarly journals Smoothness and Gaussian Density Estimates for Stochastic Functional Differential Equations with Fractional Noise

2020 ◽  
Vol 8 (4) ◽  
pp. 822-833
Author(s):  
Nguyen Van Tan

In this paper, we study the density of the solution to a class of stochastic functional differential equations driven by fractional Brownian motion. Based on the techniques of Malliavin calculus, we prove the smoothness and establish upper and lower Gaussian estimates for the density.

2014 ◽  
Vol 22 (4) ◽  
Author(s):  
Zhi Li ◽  
Jiaowan Luo

AbstractIn this paper, Harnack inequalities are established for stochastic functional differential equations driven by fractional Brownian motion with Hurst parameter


2019 ◽  
Vol 39 (4) ◽  
pp. 955-970
Author(s):  
Nguyen Tien Dung ◽  
Ta Cong Son ◽  
Tran Manh Cuong ◽  
Nguyen Van Tan ◽  
Trinh Nhu Quynh

2009 ◽  
Vol 09 (04) ◽  
pp. 597-612
Author(s):  
HAIBO BAO ◽  
DAQING JIANG

In this paper, we shall consider the existence and uniqueness of solutions to stochastic functional differential equations with infinite delay in Lp(Ω, Ch) space: [Formula: see text] where we assume f : R+ × Lp(Ω, Ch) → Lp(Ω, Rn), g : R+ × Lp(Ω, Ch) → Lp(Ω, L(Rm, Rn)), p > 2, and B(t) is a given m-dimensional Brownian motion.


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