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Algorithmic Information Theory

Kolmogorov's development of an information measure for problems of symbol-sequence type was followed by numerous mathematically-oriented applications in computer science and to models of randomness, many of these by Chaitin (Ref.118). During the past decade, however, various models of physical systems have been analyzed with these tools, and are noted below. Efforts to relate such `microscopic' entropies to Shannon's measure and thermodynamic entropy have been made, and remain an area of current research. These approaches to the many-body problem are close in philosophy to that of Boltzmann's H-function and H-theorem. It is not yet clear whether such microscopic functions will suffer the same fate as H -- namely, that they become unrelated to thermodynamic entropy in any system with substantial potential energy (Ref.117).

112.``Three Approaches to the Quantitative Definition of Information," A.N. Kolmogorov, Probl. Inf. Trans. 1, 3-11 (1965). (A)
113.``Logical Basis for Information Theory and Probability Theory," A.N. Kolmogorov, IEEE Trans. IT-14, 662-664 (1968). (I)
114.``A Formal Theory of Inductive Inference. I, II.,"R.J. Solmonoff, Inform. and Control 7, 1-22, 224-254 (1964). (A)
115.``On the length of programs for computing binary sequences,"G.J. Chaitin, J. Assoc. Comput. Mach. 13, 547-569 (1966). (A)
116.``Microscopic and macroscopic entropy,"K. Lindgren, Phys. Rev. A 38, 4794-4798 (1988). (A)
117.``Violation of Boltzmann's H-theorem in real gases," E.T. Jaynes, Phys. Rev. A4, 747-750 (1971). (I)
118.Algorithmic Information Theory, G.J. Chaitin (Cambridge University Press, Cambridge, 1987. (A)
119.``Thermodynamic cost of computation, algorithmic complexity and the information metric," W.H. Zurek, Nature 341, 119-124 (1989). (A)
120.``Algorithmic treatment of the spin-echo effect," S. Lloyd and W.H. Zurek, J. Stat. Phys. 62, 819-839 (1991). (A)
121.``Complexity in quantum systems," A. Crisanti, M. Falcioni, and A. Vulpiani, Phys. Rev. E 50, 138-144 (1994). An application of information complexity to a spin- tex2html_wrap_inline702 particle in a magnetic field, where the Shannon entropy vanishes. (A)
122.``Information entropy, chaos and complexity of the shell-model eigenvectors," V. Zelevinsky, M. Horoi, and B.A. Brown, Phys. Letters B 350, 141-146 (1995). (A)
123.``Algorithmic Complexity of a Schwarzschild Black Hole," V.D. Dzhunnshaliev, Russian Physics Journal 38, 317-319 (1995). (A)
124.``Algorithmic complexity of a protein," D.T. Gregory, Phys. Rev. E 54, R39-R41 (1996). (A)


next up previous
Next: Quantum Information Theory Up: Physical Applications Previous: Black Hole Physics

W.T. Grandy Jr.
Wed Nov 20 16:12:26 GMT-0600 1996