Literature DB >> 17747421

Ergodic theory, randomness, and "chaos".

D S Ornstein.   

Abstract

Ergodic theory is the theory of the long-term statistical behavior of dynamical systems. The baker's transformation is an object of ergodic theory that provides a paradigm for the possibility of deterministic chaos. It can now be shown that this connection is more than an analogy and that at some level of abstraction a large number of systems governed by Newton's laws are the same as the baker's transformation. Going to this level of abstraction helps to organize the possible kinds of random behavior. The theory also gives new concrete results. For example, one can show that the same process could be produced by a mechanism governed by Newton's laws or by a mechanism governed by coin tossing. It also gives a statistical analog of structural stability.

Entities:  

Year:  1989        PMID: 17747421     DOI: 10.1126/science.243.4888.182

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  3 in total

1.  A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis.

Authors:  Jun Shen; Xiaoxue Ma; Weiliang Qiao
Journal:  Int J Environ Res Public Health       Date:  2022-07-30       Impact factor: 4.614

2.  Spatiotemporal imaging of complexity.

Authors:  Stephen E Robinson; Arnold J Mandell; Richard Coppola
Journal:  Front Comput Neurosci       Date:  2013-01-24       Impact factor: 2.380

Review 3.  Order Through Disorder: The Characteristic Variability of Systems.

Authors:  Yaron Ilan
Journal:  Front Cell Dev Biol       Date:  2020-03-20
  3 in total

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