Abstract
Henri Poincare introduced researchers to the concept of sensitive dependence on initial conditions. Edward Lorenz mapped trajectory changes for atmospheric systems to demonstrate these ubiquitous effects. As a result, long-term patterns can be roughly predicted, but never exactly. The Lyapunov exponent λ represents a measure of chaos, at the same time representing change in entropy δ2S, the inverse of coherence length ξ−1, as well as Kolmogorov entropy and fractal dimensions. The human body has positive and negative feedback processes that self-regulate. Nevertheless, perturbations to system trajectories can alter the periodicities of trajectories over time and even plunge some systems into chaos. Health interventions are designed to restore stability either by maintaining stable desirable conditions or by phase shifting undesirable conditions.
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- Λ:
-
Lyapunov exponent
- ξ:
-
Coherence length
- LDL:
-
Low density lipoprotein cholesterol
- S:
-
Entropy
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Hollar, D.W. (2018). Chaos Theory and Sensitive Dependence on Initial Conditions. In: Trajectory Analysis in Health Care. Springer, Cham. https://doi.org/10.1007/978-3-319-59626-6_9
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