FRACTIONAL BROWNIAN MOTION AND STOCHASTIC EQUATIONS IN HILBERT SPACES

Article Properties
  • Language
    English
  • Publication Date
    2002/06/01
  • Indian UGC (Journal)
  • Refrences
    22
  • Citations
    1
  • T. E. DUNCAN Department of Mathematics, University of Kansas, Lawrence, KS 66045, USA
  • B. PASIK-DUNCAN Department of Mathematics, University of Kansas, Lawrence, KS 66045, USA
  • B. MASLOWSKI Institute of Mathematics, Czech Academy of Science, Prague, Czech Republic
Abstract
Cite
DUNCAN, T. E., et al. “FRACTIONAL BROWNIAN MOTION AND STOCHASTIC EQUATIONS IN HILBERT SPACES”. Stochastics and Dynamics, vol. 02, no. 02, 2002, pp. 225-50, https://doi.org/10.1142/s0219493702000340.
DUNCAN, T. E., PASIK-DUNCAN, B., & MASLOWSKI, B. (2002). FRACTIONAL BROWNIAN MOTION AND STOCHASTIC EQUATIONS IN HILBERT SPACES. Stochastics and Dynamics, 02(02), 225-250. https://doi.org/10.1142/s0219493702000340
DUNCAN TE, PASIK-DUNCAN B, MASLOWSKI B. FRACTIONAL BROWNIAN MOTION AND STOCHASTIC EQUATIONS IN HILBERT SPACES. Stochastics and Dynamics. 2002;02(02):225-50.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Description

How does fractional Brownian motion influence stochastic differential equations in Hilbert spaces? This paper explores stochastic differential equations involving cylindrical fractional Brownian motion with a Hurst parameter between 1/2 and 1. Focusing on mild solutions, the research verifies their existence, uniqueness, sample path continuity, and state space regularity, also demonstrating the existence of limiting measures. Furthermore, the paper confirms the probability law equivalence for solutions at different times and initial conditions, along with the convergence of these probability laws towards a limiting probability. These theoretical results are then applied to stochastic parabolic and hyperbolic differential equations. The findings offer insights into the behavior of stochastic systems influenced by fractional Brownian motion.

This theoretical study, published in Stochastics and Dynamics, aligns with the journal's focus on stochastic processes and their applications. By investigating fractional Brownian motion in Hilbert spaces, the paper contributes to the journal's coverage of advanced mathematical tools used to model complex dynamical systems.

Refrences
Citations
Citations Analysis
The category Technology: Engineering (General). Civil engineering (General) 1 is the most commonly referenced area in studies that cite this article.