A class of iterated function systems with adapted piecewise constant transition probabilities: asymptotic stability and Hausdorff dimension of the invariant measure
DOI10.1016/J.CHAOS.2017.05.024zbMath1375.60115OpenAlexW2736387485MaRDI QIDQ1681724
Publication date: 24 November 2017
Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.chaos.2017.05.024
asymptotic stabilityHausdorff dimensioninvariant measurefractalsMarkov operatorsiterated function systems
Discrete-time Markov processes on general state spaces (60J05) Ergodic theorems, spectral theory, Markov operators (37A30) Fractals (28A80) Symbolic dynamics (37B10) Hausdorff and packing measures (28A78)
Cites Work
- On the Hausdorff dimension of invariant measures of weakly contracting on average measurable IFS
- Invariant measures for Markov processes arising from iterated function systems with place-dependent probabilities
- Iterated function system and Ruelle operator
- On measures driven by Markov chains
- A note on iterated function systems with discontinuous probabilities
- ERGODICITY, UNIDIMENSIONALITY AND MULTIFRACTALITY OF SELF-SIMILAR MEASURES
- The stability of Markov operators on Polish spaces
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