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Extremal properties of distribution function and statistical operator in equilibrium and nonequilibrium thermodynamics

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Czechoslovak Journal of Physics Aims and scope

Abstract

It is shown that the distribution function and the statistical operator, in the case that the considered system is close to the equilibrium state, can be received by the method relying upon minimizing the information gain, which is connected with the transition of the system from a nonequilibrium state to the equilibrium state. For the systems far from equilibrium the nonequilibrium distribution function or the nonequilibrium statistical operator can be derived using a variational principle based on Jaynes' maximum entropy formalism including memory effects.

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References

  1. Zubarev D. N.: Neravnovesnaya Statisticheskaya Termodinamika. Izdatelstvo Nauka, Moscow, 1971.

    Google Scholar 

  2. Renyi A.: Probability Theory. Kiadó, Budapest, 1970.

    Google Scholar 

  3. Schlögl F.: Z. Physik198 (1967) 559.

    Google Scholar 

  4. Schlögl F.: Z. Physik B249 (1971–72) 1.

    Google Scholar 

  5. Vasconcellos A. R. et al.: Phys. Rev. A43 (1991) 6622.

    Google Scholar 

  6. Lauck L. et al.: Physica A168 (1990) 789.

    Google Scholar 

  7. Vasconcellos A. R. et al.: Physica A180 (1992) 182.

    Google Scholar 

  8. Luzzi R. and Vasconcellos A. R.: Fortschr. Phys.38 (1990) 887.

    Google Scholar 

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Kheilová, M. Extremal properties of distribution function and statistical operator in equilibrium and nonequilibrium thermodynamics. Czech J Phys 44, 1–9 (1994). https://doi.org/10.1007/BF01691745

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  • DOI: https://doi.org/10.1007/BF01691745

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