Are Chaotic and Stochastic processes related?

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Discussion Overview

The discussion centers around the relationship between chaotic processes and stochastic processes, exploring whether and how these two mathematical areas are interconnected. Participants express varying levels of familiarity with both concepts and seek clarification on their potential connections.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant expresses uncertainty about the concept of "stochastic chaos" and seeks clarification on the relationship between chaotic and stochastic systems.
  • Another participant provides a brief overview of deterministic dynamical systems and their chaotic behavior, mentioning the Frobenius-Perron and Koopman operators as tools for understanding this behavior.
  • This participant also suggests that a deterministic system can incorporate stochastic elements to form a stochastic dynamical system, referencing the Foias operator in this context.
  • A different participant defines chaotic systems as those with fractal limit states and describes stochastic processes as random processes characterized by random variables.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the relationship between chaotic and stochastic processes, and multiple competing views remain regarding their definitions and interconnections.

Contextual Notes

Some participants may have differing interpretations of chaos and stochasticity, and there are unresolved aspects regarding the definitions and implications of these concepts in the context of dynamical systems.

Who May Find This Useful

This discussion may be of interest to those studying dynamical systems, chaos theory, stochastic processes, or anyone looking to understand the interplay between deterministic and stochastic models in mathematics.

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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