Abstract
In this short survey review we discuss foundational issues of the probabilistic approach to information theory and statistical mechanics from a unified standpoint. Emphasis is on the inter-relations between theories. The basic aim is tutorial, i.e. to carry out a basic introduction to the analysis and applications of probabilistic concepts to the description of various aspects of complexity and stochasticity. We consider probability as a foundational concept in statistical mechanics and review selected advances in the theoretical understanding of interrelation of the probability, information and statistical description with regard to basic notions of statistical mechanics of complex systems. It includes also a synthesis of past and present researches and a survey of methodology. The purpose of this terse overview is to discuss and partially describe those probabilistic methods and approaches that are used in statistical mechanics with the purpose of making these ideas easier to understanding and to apply.
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References
Tsonis, A.A.: Randomnicity: Rules and Randomness in the Realm of the Infinite. Imperial College Press, London (2008)
Bogoliubov, N.N.: Problems of a dynamical theory in statistical physics. In: de Boer, J., Uhlenbeck, G.E. (eds.) Studies in Statistical Mechanics, vol. 1, p 1. North-Holland, Amsterdam (1962)
Bogoliubov, N.N.: On the stochastic processes in the dynamical systems. Sov. J. Part. Nucl 9, 205 (1978)
Kuzemsky, A.L.: Theory of transport processes and the method of the nonequilibrium statistical operator. Int. J. Mod. Phys. B 21, 2821 (2007)
Kuzemsky, A.L.: Statistical mechanics and the physics of many-particle model systems. Phys. Part. Nucl. 40, 949 (2009)
Aubin, D., Dalmedico, A.D.: Writing the history of dynamical systems and chaos: Longue duree and revolution, disciplines and cultures. Hist. Math. 29, 273 (2002)
Kossakowski, A., Ohya, M., Togawa, Y.: How can we observe and describe chaos. Open. Syst. Inf. Dyn. 10, 221 (2003)
Leoncini, X., Leonetti, M. (eds.): From Hamiltonian Chaos to Complex Systems: A Nonlinear Physics Approach. Springer, Berlin (2013)
Kuzemsky, A.L.: Bogoliubov’s vision: Quasiaverages and broken symmetry to quantum protectorate and emergence. Int. J. Mod. Phys. B 24, 835 (2010)
Bertin, E.: A Concise Introduction to the Statistical Physics of Complex Systems. Springer, Berlin (2011)
Baranger, M.: Chaos, Complexity, and Entropy. A Physics Talk for Non-Physicists. New England Complex Systems Institute, Cambridge (2000)
Roederer, J.G.: Information and its Role in Nature. Springer, Berlin (2005)
Applebaum, D.: Probability and Information. An Integrated Approach. Cambridge University Press, Cambridge (2008)
Rissanen, J.: Information and Complexity in Statistical Modeling. Springer, Berlin (2007)
Harmuth, H.F.: Information Theory Applied to Space-Time Physics. World Scientific, Singapore (1993)
Grandy, W.T.: Information theory in physics. Am. J. Phys 65, 466 (1997)
Beisbart, C., Hartmann, S. (eds.): Probabilities in Physics. Oxford University Press, Oxford (2011)
Aguirre, A., Foster, B., Merali, Z. (eds.): It From bit or bit From It? On Physics And Information. Springer, Berlin (2015)
Kadomtsev, B.B.: Dynamics and information. Phys. Usp 37, 425 (1994)
Green, H.S.: Information Theory and Quantum Physics. Springer, Berlin (2000)
Brukner, C., Zeilinger, A.: Young’s experiment and the finiteness of information. Phil. Trans. R. Soc. Lond. A 360, 1061 (2002)
Diosi, L.: A Short Course in Quantum Information Theory. An Approach From Theoretical Physics, 2nd ed. Springer, Berlin (2011)
Schuster, P.: Less is more and the art of modeling complex phenomena. Complexity 11, 11 (2005)
Volkenstein, M.V.: The amount and value of information in biology. Found. Phys 7, 97 (1977)
Crofts, A.R.: Life, information, entropy, and time: vehicles for semantic inheritance. Complexity 13, 14 (2007)
Asano, M., Basieva, I., Khrennikov, A., Ohya, M., Tanaka, Y., Yamato, I.: Quantum information biology: from information interpretation of quantum mechanics to applications in molecular biology and cognitive psychology (2015) arXiv:1503.02515 [quant ph]
Nielsen, M.A., Chuang, I.L.: Quantum Computation and Quantum Information. Cambridge University Press, Cambridge (2000)
Ohya, M., Volovich, I.: Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems. Springer, Berlin (2011)
Stenholm, S., Suominen, K.A.: Elements of Information Theory. Wiley, New York (2005)
Vedral, V.: Decoding Reality. The Universe as Quantum Information. Oxford University Press, Oxford (2010)
Yeh, M.-C., Leggett, A.J.: The escape physics of single shot measurement of flux qubit with dcSQUID (2014). arXiv:1401.4186v1[cond-mat.supr-con]
Kac, M.: Some Stochastic Problems in Physics and Mathematics. In: Colloquium Lectures in Pure and Applied Science, no 2. Texas, Dallas (1956)
Kac, M.: Probability and Related Topics in Physical Sciences. Interscience Publ., New York (1958)
Feller, W.: An Introduction to Probability Theory and Its Applications, vol. 1. Wiley, New York (1970)
Feller, W.: An Introduction to Probability Theory and Its Applications, vol. 2. Wiley, New York (1971)
Gnedenko, B.: The Theory Probability. Mir Publ., Moscow (1975)
Ambegaokar, V.: Reasoning About Luck: Probability and its Uses in Physics. Cambridge University Press, New York (1996)
Kallenberg, O.: Foundations of Modern Probability. Springer, Berlin (1997)
Jaynes, E.T. In: Rosenkrantz, R.D. (ed.) : Papers on Probability, Statistics and Statistical Physics. D.Reidel Publ., Dordrecht (1983)
Grandy, W.T., Milloni, P.W., et al.: Physics and Probability: Essays in Honor of Edwin T. Jaynes. Cambridge University Press, New York (1993)
Von Plato, J.: Creating Modern Probability: Its Mathematics, Physics And Philosophy In Historical Perspective. Cambridge University Press, Cambridge (1994)
Jaynes, E.T.: Probability Theory: The Logic of Science. Cambridge University Press, New York (2003)
McCullagh, P.: What is a statistical model?. Ann. Stat. 30, 1225 (2002)
Graben, P.B., Barrett, A., Atmanspacher, H.: Stability criteria for the contextual emergence of macrostates in neural networks. Netw. Comput. Neural Syst. 20, 178 (2009)
Gibbs, J. W.: Elementary Principles in Statistical Mechanics Developed with Especial Reference to the Rational Foundations of Thermodynamics. Dover Publ., New York (1960)
Khinchin, A.Ya.: Mathematical Foundations of Statistical Mechanics. Dover Publ., New York (1949)
Sklar, L.: Physics and Chance. Cambridge University Press, New York (1993)
Guttmann, Y.: The Concept of Probability in Statistical Physics. Cambridge University Press, Cambridge (2002)
Ernst, G., Huttemann, A. (eds.): Time, Chance and Reduction. Philosophical Aspects of Statistical Mechanics. Cambridge University Press, Cambridge (2010)
Kozlov, V.V., Smolyanov, O.G.: Information entropy in problems of classical and quantum statistical mechanics. Dokl. Math. 74, 910 (2006)
Kozlov, V.V.: Gibbs ensembles, equidistribution of the energy of sympathetic oscillators and statistical models of thermostat. Regul. Chaotic Dynam 13, 141 (2008)
Home, D., Whitaker, M.A.B.: Ensemble interpretations of quantum mechanics. A modern perspective. Phys. Rep 210, 223 (1992)
Omnes, R.: The Interpretation of Quantum Mechanics. Princeton University Press, Princeton (1994)
Auletta, G.: Foundations and Interpretation of Quantum Mechanics. World Scientific, Singapore (2001)
Kuzemsky, A.L.: Works of D. I. Blokhintsev and development of quantum Physics. Phys. Part. Nucl. 39, 137 (2008)
Khrennikov, A.: Interpretations of Probability, 2nd ed. Walter de Gruyter Press, Berlin (2009)
Khrennikov, A. (ed.): Foundations of Probability and Physics. World Scientific, Singapore (2002)
Khrennikov, A.: Contextual Approach to Quantum Formalism. Springer, Berlin (2009)
von Mises, R.: Probability, Statistics, and Truth. Dover Publ., New York (1981)
Mugur-Schachter, M.: On the concept of probability. Math. Struct. Comput. Sci. 24(e240309), 91 (2014)
Howie, D.: Interpreting Probability: Controversies and Developments in the Early Twentieth Century. Cambridge University Press, Cambridge (2004)
Tijms, H.: Understanding Probability. Chance Rules in Everyday Life, 2nd ed. Cambridge University Press, Cambridge (2007)
Narens, L.: Theories of Probability. An Examination of Logical and Qualitative Foundations. World Scientific, Singapore (2007)
Suarez, M. (ed.): Probabilities, Causes and Propensities in Physics. (Studies in Epistemology, Logic, Methodology, and Philosophy of Science). Springer, New York (2011)
Ruelle, D.: Statistical Mechanics. Rigorous Results, 2nd ed. World Scientific, Singapore (1999)
Ruelle, D.: Chance and Chaos. Princeton University Press, Princeton (1991)
Laughlin, R.B.: A Different Universe. Basic Books, New York (2005)
Laughlin, R.B.: The Crime of Reason: And the Closing of the Scientific Mind. Basic Books, New York (2008)
Laughlin, R.B., Pines, D.: Theory of everything. Proc. Natl. Acad. Sci. (USA) 97, 28 (2000)
Cox, D.L., Pines, D.: Complex adaptive matter: emergent phenomena in materials. MRS Bull. 30, 425 (2005)
Carroll, R.: On the Emergence Theme of Physics. World Scientific, Singapore (2010)
Cramer, H.: Mathematical Methods of Statistics. Princeton University Press, Princeton (1946)
Kolmogorov, A.N.: Foundations of the Theory of Probability. Chelsea Publishing Co., New York (1950)
Kolmogorov, A.N.: On Logical Foundations of Probability Theory. In: Lecture Notes in Mathematics. Probability Theory and Mathematical Statistics, vol. 1021, p 1. Springer, Berlin (1983)
Kolmogorov, A.N.: The theory of probability. In: Mathematics: Its Content, Methods and Meaning. Dover Publ., New York (1999)
Doob, J.L.: Stochastic Processes. Wiley, New York (1953)
Papoulis, A., Pillai, S.U.: Probability, Random Variables and Stochastic Processes, 4th ed. McGraw-Hill, New York (2002)
van Kampen, N.G.: Stochastic Processes in Physics and Chemistry, 3rd ed. North-Holland, Amsterdam (2007)
Wio, H.S.: An Introduction to Stochastic Processes and Nonequilibrium Statistical Physics. World Scientific, Singapore (1994)
Mahnke, R., Kaupuzs, J., Lubashevsky, I.: Physics of Stochastic Processes: How Randomness Acts in Time. Wiley, New York (2008)
Jeffreys, H.: Theory of Probability. Clarendon Press, Oxford (1998)
Kennedy, B.: Celebrations of creativity. Phys. World 3, 52 (1994)
Fine, T.L.: The only acceptable approach to probabilistic reasoning. SIAM News 37(2), 723 (2004)
van Kampen, N.G.: Views of a Physicist. World Scientific, Singapore (2000)
Khinchin, A.I.: Mathematical Foundations of Information Theory. Dover Publ., New York (1957)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley, New York (1991)
Gray, R.M.: Entropy and Information Theory. Springer, Berlin (2000)
MacKay, D.J.C.: Information Theory, Inference, and Learning Algorithms. Cambridge University Press, Cambridge (2003)
Gitt, W.: In the Beginning was Information. Master Books, Green Forest, Arkansas (2005)
Jaynes, E.T.: Information theory and statistical mechanics. Phys. Rev 106, 620 (1957)
Jaynes, E.T.: Information theory and statistical mechanics - II. Phys. Rev 108, 171 (1957)
Katz, A.: Principles of Statistical Mechanics: The Information Theory Approach. W. H. Freeman and Co., San Francisco (1967)
Hobson, A.: Concepts in Statistical Mechanics. Gordon and Breach, New York (1970)
Morse, P.M.: Thermal Physics, 2nd ed. W. A. Benjamin, Inc., New York (1969)
Grandy, W.T.: Foundations of Statistical Mechanics: Equilibrium Theory, vol. 1. D. Reidel Publ., Dordrecht (1987)
Grandy, W.T.: Foundations of Statistical Mechanics: Nonequilibrium Phenomena, vol. 2. D. Reidel Publ., Dordrecht (1988)
Wiener, N.: The Human Use of Human Beings: Cybernetics and Society. Da Capo Press, New York (1988)
Keller, G., Warnecke, G. (eds.): Entropy. (Princeton Studies in Applied Mathematics). Princeton University Press, Princeton (2003)
Evans, L.C.: Entropy, Large Deviations, and Statistical Mechanics. Springer, Berlin (2005)
Evans, L.C.: Entropy and Partial Differential Equations. Wiley, New York (2008)
Minlos, R.A.: Introduction to Mathematical Statistical Physics. (University Lecture Series) American Mathematical Society (2000)
Zubarev, D.N.: Nonequilibrium Statistical Thermodynamics. Consultant Bureau, New York (1974)
Muller, I.: A History of Thermodynamics. The Doctrine of Energy and Entropy. Springer, Berlin (2007)
Muller, I., Muller, W.H.: Fundamentals of Thermodynamics and Applications. Springer, Berlin (2009)
Starzak, M.E.: Energy and Entropy. Equilibrium to Stationary States. Springer, Berlin (2010)
Kuzemsky, A.L.: Thermodynamic limit in statistical physics. Int. J. Mod. Phys. B 28, 1430004 (2014)
Gzyl, H.: The Method of Maximum Entropy. World Scientific, Singapore (1995)
Charpentier, E., Lesne, A., Nikolskii, N.K. (eds.): Kolmogorov’s Heritage in Mathematics. Springer, Berlin (2007)
Li, M., Vitanyi, P.: An Introduction to Kolmogorov Complexity and its Applications. Springer, Berlin (1997)
Livi, R., Vulpiani, A. (eds.): The Kolmogorov Legacy in Physics. Springer, Berlin (2004)
Tihomirov, V.M.: Andrei Nikolaevich Kolmogorov (1903-1987). The great Russian scientist. Teach. Math. 1, 25 (2003)
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Appendix A: Biography of A. N. Kolmogorov
Appendix A: Biography of A. N. Kolmogorov
Andrei Nikolaevich KolmogorovFootnote 1(1903 - 1987) was one of the most prominent twentieth-century mathematicians. Throughout his mathematical work, A.N. Kolmogorov showed great creativity and versatility and his wide-ranging studies in many different areas led to the solution of conceptual and fundamental problems and the posing of new, important questions [108]. His lasting contributions embrace probability theory and statistics, the theory of dynamical systems, mathematical logic, geometry and topology, the theory of functions and functional analysis, classical mechanics, the theory of turbulence, and information theory. A.N. Kolmogorov made major contributions to almost all areas of mathematics and many fields of science [109, 110] and is considered one of the 20th century’s most eminent mathematicians. He was the founder of modern probability theory, having formulated its axiomatic foundations and developed many of its mathematical tools. Kolmogorov also helped make advances in many applied sciences, from physics to linguistics.
In 1920, at the age of 17, Kolmogorov enrolled in Moscow University. During his years as a university student, he published 18 mathematical papers including the strong law of large numbers, generalizations of calculus operations, and discourses in intuitionistic logic. In 1925, Kolmogorov received a doctoral degree from the department of physics and mathematics and became a research associate atMoscow University. At the age of 28, he was made a full professor of mathematics; two years later, in 1933, he was appointed director of the university’s Institute of Mathematics. While he was still a research associate, Kolmogorov published a paper, ”General Theory of Measure and Probability Theory,” in which he gave an axiomatic representation of some aspects of probability theoryon the basis of measure theory. His work in this area, which a younger colleague once called the ”New Testament” of mathematics, was fully described in a monograph that was published in 1933. The paper was translated into English and published in 1950 as Foundations of the Theory of Probability. Kolmogorov’s contribution to probability theory has been compared to Euclid’s role in establishing the basis of geometry. He also made major contributions to the understanding of stochastic processes (involving random variables), and he advanced the knowledge of chains of linked probabilities. Kolmogorov developed many applications of probability theory. He published a lot of papers on probability theory and mathematical statistics, and embraces topics such as limit theorems, axiomatic and logical foundations of probability theory, Markov chains and processes, stationary processes and branching processes.
A. N. Kolmogorov was a genius and a person proficient in a wide range of fields [111]. He was interested in sciences, for both, exact ones, and humanities, and he had a keen interest for philosophical problems as well as for problems of ethics and morality. He was an expert and a delicate judge of arts-of poetry, of paintings, and above all, of sculptures. He was deeply concerned for the future problems of humankind. Andrej Nikolaevich Kolmogorov undoubtedly was one of the greatest mathematicians and researchers of laws of nature of the Twentieth Century, (a Natural Philosopher, as such one would have been called in earlier times), and one among the greatest Russian scientists in the entire history of the Russian science. Additional information and analysis of Kolmogorov’s heritage can be found in the following books [108–110]
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Kuzemsky, A.L. Probability, Information and Statistical Physics. Int J Theor Phys 55, 1378–1404 (2016). https://doi.org/10.1007/s10773-015-2779-8
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DOI: https://doi.org/10.1007/s10773-015-2779-8