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Discretisation of Stochastic Control Problems for Continuous Time Dynamics with Delay Author info | Abstract | Publisher info | Download info | Related research | Statistics Markus Fischer
Markus Reiss
As a main step in the numerical solution of control problems in continuous time, the controlled process is approximated by sequences of controlled Markov chains, thus discretizing time and space. A new feature in this context is to allow for delay in the dynamics. The existence of an optimal strategy with respect to the cost functional can be guaranteed in the class of relaxed controls. Weak convergence of the approximating extended Markov chains to the original process together with convergence of the associated optimal strategies is established.
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Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number
SFB649DP2005-038.
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Length: 25 pages
Date of creation: Aug 2005Date of revision:
Dec 2005Handle: RePEc:hum:wpaper:sfb649dp2005-038Contact details of provider: Postal: Spandauer Str. 1,10178 Berlin Phone: +49-30-2093-5708 Fax: +49-30-2093-5617 Email: Web page: http://sfb649.wiwi.hu-berlin.de More information through EDIRC
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Keywords: Markov Markov chain time dynamics stochastic control problem Other versions of this item:
Find related papers by JEL classification: C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
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