INFORMATION GEOMETRY, INFERENCE METHODS AND CHAOTIC ENERGY LEVELS STATISTICS

DOI10.1142/S0217984908016558zbMath1153.82306arXiv0810.4624MaRDI QIDQ3545841

Carlo Cafaro

Publication date: 11 December 2008

Published in: Modern Physics Letters B (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0810.4624

zbMATH Keywords

Riemannian geometryprobability theoryinference methodsnonlinear dynamics and chaos

Mathematics Subject Classification ID

Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20) Statistical mechanics of magnetic materials (82D40)

Related Items

Application of the maximum relative entropy method to the physics of ferromagnetic materials ⋮ Geometric algebra and information geometry for quantum computational software ⋮ An information geometric perspective on the complexity of macroscopic predictions arising from incomplete information ⋮ Information geometric methods for complexity ⋮ Reexamination of an information geometric construction of entropic indicators of complexity ⋮ Quantifying the complexity of geodesic paths on curved statistical manifolds through information geometric entropies and Jacobi fields ⋮ Theoretical investigations of an information geometric approach to complexity ⋮ Opinion particles: classical physics and opinion dynamics

Cites Work

• What is complexity?
• Jacobi fields on statistical manifolds of negative curvature
• Deterministic Nonperiodic Flow
• Characterization of Chaotic Quantum Spectra and Universality of Level Fluctuation Laws
• Unnamed Item

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