Invariant measures of Markov operators associated to iterated function systems consisting of phi-max-contractions with probabilities
Flavian Georgescu, Radu Miculescu, Alexandru Mihail

TL;DR
This paper proves the existence and uniqueness of an invariant measure for a class of Markov operators linked to iterated function systems made of phi-max-contractions with probabilities, with the measure's support being the system's attractor.
Contribution
It establishes the unique invariant measure for a new class of iterated function systems involving phi-max-contractions, expanding understanding of their probabilistic properties.
Findings
Unique invariant measure exists for the system
Support of the measure coincides with the attractor
Provides theoretical foundation for systems with phi-max-contractions
Abstract
We prove that the Markov operator associated to an iterated function system consisting of phi-max-contractions with probabilities has a unique invariant measure whose support is the attractor of the system.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Markov Chains and Monte Carlo Methods · advanced mathematical theories
