Chaos_Theory_presentation_KekeGai - Chaos Theory

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Introducing
Chaos Theory
Keke Gai’s Presentation
RES 7023
Lawrence Technological University
What is Chaos Theory?
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The picture is retrieved by Shutterstock Images from http://www.shutterstock.com/pic17548057/stock-photo-chaos-theory.html
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The image retrieved from Ruggles, R. (1998). The State of the Notion: Knowledge
Management in Practice. California Management Review, 40(3), 80-89.
Definition
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First stated by Edward Lorentz in 1960s.
Introduced by James A. Yorke and his partners as
a new paradigm in 1975 (Yorke, 1975)
Dr. Kellert (1993) defines Chaos Theory as a
qualitative study of unstable aperiodic behavior in
deterministic nonlinear dynamical systems (p.2).
Definition
Highlights the impossibility of long-term
prediction for nonlinear systems.
 The mathematics of chaos privileges a
qualitative approach
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Dynamical Models
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Dynamical systems
Population models
Financial models
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Celestial mechanics
Lorenz’s Contributions
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Strange attractors
The butterfly effect
Origin of the Lorenz
equations
Complex Behavior of
Simple Systems
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Edward Lorenz
The Butterfly Effect
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first described by
Lorenz in 1972
Technical name:
Sensitive
Dependence on Initial
Conditions.
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“Physicists like to think
that all you have to do
is say, these are the
conditions, now what
happens next?” ---Richard P. Feynman
Difference between Random Data
and Chaotic Data
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Random Data
Non-deterministic
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Chaotic Data
No asymptotically
periodic
No Lyapunov
exponent vanishes
The largest Lyapunov
exponent is strictly
positive
Where is Chaos Theory applied in?
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Career development
Geology
Mathematics
Microbiology
Biology
Computer science
Economics
Engineering
Finance
Tourism
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Medicine
Meteorology
Planning
Philosophy
Physics
Politics
Population dynamics
Psychology
Robotics
Hydrology
Chaos Theory in Management
Two traditional application of chaos theory
(Jonathan, 1994)
 Creating a dynamical model from the
structural equations
 Applicable when the structure equations
describing a system that is now known
Chaos Theory in Management
Application Example:
The population fluctuations of a species
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The logistic equation is:
The example is retrieved by Johnson & Burton’s (1994) article
Application Example
Plots of the logistic equation at different parameter values
Limitation
Lack analytical tractability & predictive
power
 Lack theoretical & empirical work in
organizational adaptation, learning, and
creativity
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Conclusion
Chaos theory provides us with an
alternative imagery
 Obstacles for chaos theory research
 Metaphors can lead to new insights
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For More Information
Please visit:
Chaostheoryresearch.wordpress.com
Reference
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Bloch, D. P. (2005). Complexity, Chaos, and Nonlinear Dynamics: a New Perspective on Career Development. Career Development Quarterly, 53(3).
Cartwright, T. J. (1991). Planning and Chaos Theory. Journal of the American Planning Association, 57(1).
Davies, B. (1999). Exploring Chaos Theory and Experiment. Reading, Massachusetts: Perseus Books.
D. Hristu-Varsakelis, C. K. (2008). Evidence for Nonlinear Asymmetric Causality in US Inflation, Metal, and Stock Returns. Discrete Dynamics in Nature
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Harney, M. (2009). Applying Chaos Theory to Embedded Applications. Design Article, from http://eetimes.com/design/embedded/4008311/ApplyingChaos-Theory-to-Embedded-Applications
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James A. Yorke, T.-Y. L. (1975). Period Three Implies Chaos. The American Mathematical Monthly, 82(10).
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Kellert, S. H. (1993). In the Wake of Chaos: Unpredictable Order in Dynamical Systems. Chicago: The University of Chicago Press, Ltd., London.
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Levy, David L. (2000) "Applications and Limitations of Complexity Theory in Organization Theory and Strategy", in Jack Rabin, Gerald J. Miller, and W.
Bartley Hildreth (editors), Handbook of Strategic Management, Second Edition (New York: Marcel Dekker)
Mckercher, B. (1998). A Chaos Approach to Tourism. Tourism Management, 20(4), 425-434.
Peters, E. E. (1994). Fractal Market Analysis: Applying Chaos Theory to Investment and Economics: John Wiley & Sons, Inc.
Ruelle, D. (1991). Chance and Chaos. Princeton, NJ: Princeton University Press.
Sivakumar, B. (2000). Chaos Theory in Hydrology: Important Issues and Interpretations. Journal of Hydrology, 1(20).
Tsoukas, H. (1998). Introduction: Chaos, Complexity and Organization Theory. Organization, 5(3), 291-313.
Werndl, C. (2009). What are the New Implications of Chaos for Unpredictability? The British Journal for the Philosophy of Science Advance Access,
1(26).
William J. Baumol, J. B. (1989). Chaos: Significance, Mechanism, and Economic Applications. Journal of Economic Perspectives, 3(1), 77-105.
THANK YOU FOR
LISTENING
Keke Gai
Feb. 2012
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