The Reduction of Perturbed Markov Generators: An Algorithm Exposing the Role of Transient States.
Abstract
A new algorithm for the hierarchical aggregation of singularly perturbed finite-state Markov processes is derived. The approach taken bridges the gap between conceptually simple results for a relatively restricted class of processes and the significantly more complex results for the general case. The critical role played by (almost) transient states is exposed resulting in a straightforward algorithm for the construction of a sequence of aggregate generators associated with various time scales. These generators together provide a uniform asymptotic approximation of the original probability transition function. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1985
- Accession Number
- ADA162773
Entities
People
- Alan S. Willsky
- Jan R. Rohlicek
Organizations
- Massachusetts Institute of Technology