Markov chains in random environments and random iterated function systems
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- by Örjan Stenflo PDF
- Trans. Amer. Math. Soc. 353 (2001), 3547-3562 Request permission
Abstract:
We consider random iterated function systems giving rise to Markov chains in random (stationary) environments. Conditions ensuring unique ergodicity and a “pure type” characterization of the limiting “randomly invariant” probability measure are provided. We also give a dimension formula and an algorithm for simulating exact samples from the limiting probability measure.References
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Additional Information
- Örjan Stenflo
- Affiliation: Department of Mathematics, UmeåUniversity, SE-90187 Umeå, Sweden
- Email: stenflo@math.umu.se
- Received by editor(s): December 19, 1999
- Received by editor(s) in revised form: October 2, 2000
- Published electronically: April 18, 2001
- Additional Notes: Supported by the The Royal Swedish Academy of Sciences
- © Copyright 2001 American Mathematical Society
- Journal: Trans. Amer. Math. Soc. 353 (2001), 3547-3562
- MSC (2000): Primary 28A80, 37H99, 60F05, 60J05, 60K37; Secondary 28A78, 60G57, 65C05
- DOI: https://doi.org/10.1090/S0002-9947-01-02798-2
- MathSciNet review: 1837247