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    Entropy conditions of self-organization of the banking system

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    The conditions for market transformations are accompanied by a growing influence on the banks' activity by the flow of destructive disturbances that can cause chaotic behavior of the economic system as a whole and the banking system, in particular. The purpose of the study is to identify the preface of self-organization of the banking system, taking into account the information factor and the level of the entropy of the system. The theoretical questions of mutual influence and interconnection of entropy and information are considered in the paper, as well as their influence on the processes of self-organization in the banking system. From the point of view of the entropy approach the nature and conditions of self-organization in the banking system are disclosed. For the efficient functioning of the modern banking system, the search and analysis of the dependence between the entropy indicators, accumulated information and the synergistic effect, taking into account dualism of chaos and order, are of considerable interest. On the basis of the complex of these indicators, the results of the conducted research, which reveal the dynamic properties of self-organization of the banking system, are presented

    Total cost of operating an information engine

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    We study a two-level system controlled in a discrete feedback loop, modeling both the system and the controller in terms of stochastic Markov processes. We find that the extracted work, which is known to be bounded from above by the mutual information acquired during measurement, has to be compensated by an additional energy supply during the measurement process itself, which is bounded by the same mutual information from below. Our results confirm that the total cost of operating an information engine is in full agreement with the conventional second law of thermodynamics. We also consider the efficiency of the information engine as function of the cycle time and discuss the operating condition for maximal power generation. Moreover, we find that the entropy production of our information engine is maximal for maximal efficiency, in sharp contrast to conventional reversible heat engines.Comment: PDFLaTeX, 12 pages, 11 figure
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