Abstract
A new information-geometric approach to chaotic dynamics on curved statistical manifolds based on Entropic Dynamics (ED) is proposed. It is shown that the hyperbolicity of a non-maximally symmetric 6N-dimensional statistical manifold s underlying an ED Gaussian model describing an arbitrary system of 3N degrees of freedom leads to linear information-geometric entropy growth and to exponential divergence of the Jacobi vector field intensity, quantum and classical features of chaos respectively.
| Original language | English |
|---|---|
| Pages (from-to) | 2924-2933 |
| Number of pages | 10 |
| Journal | International Journal of Theoretical Physics |
| Volume | 47 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2008 |
Keywords
- Chaos
- Entropy
- Inductive inference
- Information geometry
- Nonlinear dynamics
- Statistical manifolds
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