1990 | OriginalPaper | Chapter
Stability Theory
Author : Harold J. Kushner
Published in: Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems
Publisher: Birkhäuser Boston
Included in: Professional Book Archive
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The tightness assumptions (A4.1.6) or (A4.4.2) on {zϵ(t), t < ∞, ϵ > 0} or of (A4.4.1) on {xϵ(t),t < ∞, ϵ > 0} are essentially questions of stochastic stability. Of course, if the state spaces are bounded, then the cited assumptions are automatically satisfied. The deterministic specialization of the above cited tightness requirements is that the trajectories of interest (those of xϵ(ּ) and/or xϵ(ּ)) be bounded on the time interval of interest. To prove that boundedness in particular cases for the deterministic problem, some form of Liapunov function method is usually used. Stochastic “Liapunov function methods” are also very useful (if not indispensible at this time) to prove the required tightness for the stochastic problems, and we will discuss several approaches in this chapter.