Are Chaotic and Stochastic processes related?

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SUMMARY

Chaotic systems and stochastic processes are related through the study of deterministic dynamical systems that exhibit chaotic behavior. The Frobenius-Perron and Koopman operators, also known as transfer operators, are essential for understanding this relationship. The introduction of stochastic elements to deterministic systems leads to stochastic dynamical systems, characterized by the Foias operator. Recommended literature includes "Chaos, Fractals and Noise" by Lasota and Mackey for foundational knowledge in applied ergodic theory.

PREREQUISITES
  • Understanding of deterministic dynamical systems
  • Familiarity with chaos theory concepts
  • Knowledge of stochastic processes and random variables
  • Basic grasp of measure theory and operators in mathematics
NEXT STEPS
  • Study the Frobenius-Perron and Koopman operators in detail
  • Read "Chaos, Fractals and Noise" by Lasota and Mackey
  • Explore the concept of the Foias operator in stochastic dynamical systems
  • Investigate the relationship between chaotic systems and fractal dimensions
USEFUL FOR

Mathematicians, physicists, and researchers interested in chaos theory, stochastic processes, and their interconnections will benefit from this discussion.

JorgeM
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Hello everyone.
I have read on the web some people that mention something about "stochastic chaos" but I am not that sure about what it really means or if that actually exists. Two months ago , I started to study some chaotic systems but in stochastic systems I am not that familiarized in order to figure out how may be this two math areas related.
If someone could tell me ( or to explain) if both are related somehow or if that is actually impossible, I would be grateful.
Thanks for reading my post.
Mtze
 
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There is a lot to say about this, but this has been done better in the literature, so I will be brief.

A purely deterministic dynamical system - for example, a map from a complete metric space to itself, or a (semi)flow defined on a metric space - can display chaotic behavior in a well-defined sense.

One way to understand this behavior, is by studying the associated Frobenius-Perron and Koopman operators (physicists sometimes speak of "transfer operators") or more generally Markov operators that act on a space of (usually absolutely continuous) measures. For this perspective, the book by Lasota and Mackey, Chaos, Fractals and Noise is highly recommended as an introduction to "applied" ergodic theory. (Do not let the catchy title fool you.)

Of course, it is possible to start with a deterministic system and introduce a co-dependence on some discrete or continuous time stochastic process to obtain a stochastic dynamical system. The associated operator on a space of measures is called the Foias operator.

My recommendation would be to first understand stochasticity of purely deterministic dynamical systems by studying the associated measure or density dynamics along the above lines, and only then move forward to include stochasticity at the level of the original deterministic dynamical system.
 
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Thanks for your reply, I will try to start with the purely deterministic one, and I am going to read the books you menctioned. Thanks a lot for your advise!
 
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As I understand it a chaotic system is a dynamical system in which the limit state is fractal, i.e., of non-integer Hausdorff dimension. A Stochastic process is just a random process, i.e., described by a Random variable.
 
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