scholarly journals Negative entropy production in oscillatory processes

2007 ◽  
Vol 8 (5-6) ◽  
pp. 620-624 ◽  
Author(s):  
Stephen R. Williams ◽  
Denis J. Evans ◽  
Emil Mittag
2005 ◽  
Vol 1709 (3) ◽  
pp. 251-255 ◽  
Author(s):  
Robert C. Jennings ◽  
Enrico Engelmann ◽  
Flavio Garlaschi ◽  
Anna Paola Casazza ◽  
Giuseppe Zucchelli

2019 ◽  
Vol 99 (1) ◽  
Author(s):  
Philipp Strasberg ◽  
Massimiliano Esposito

2006 ◽  
Vol 1757 (11) ◽  
pp. 1460-1462 ◽  
Author(s):  
R.C. Jennings ◽  
A.P. Casazza ◽  
E. Belgio ◽  
F.M. Garlaschi ◽  
G. Zucchelli

2014 ◽  
Vol 13 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Víctor A. López-Agudelo ◽  
Daniel Barragán

1975 ◽  
Vol 53 (12) ◽  
pp. 1756-1760 ◽  
Author(s):  
Huw O. Pritchard

It is shown that entropy production appears to be a completely monotonic function of time for several chemical reactions or reaction sequences taking place in closed systems at constant temperature; however this monotonicity principle does not extend to autocatalytic or oscillatory processes. Where it occurs, the complete monotonicity of entropy production stems essentially from the completely monotonic behavior of the species number densities as functions of time in the evolution of the reaction.


2021 ◽  
Vol 103 (1) ◽  
Author(s):  
Marcus V. S. Bonança ◽  
Pierre Nazé ◽  
Sebastian Deffner

2021 ◽  
Vol 10 (1) ◽  
pp. 106-118
Author(s):  
Oleh Skorba ◽  
Tetyana Pasko ◽  
Viktoriia Babenko-Levada ◽  
Tetiana Tereshchenko

It is extremely important for the budget process to obtain accurate forecasts of potential tax revenues, especially in periods of disruption and crisis. The paper is devoted to the study of dynamics of tax revenues’ volumes in the budget of Ukraine and the forecast of their values during the crisis.The dynamics of tax revenues in the Consolidated Budget of Ukraine, studied by using randomized R|S-analysis, fractal and probabilistic analyses as well as entropy calculation based on the data on monthly tax revenues for the period 2011–2021, is anti-persistent, fractal-like and unpredictable based on parametric dependencies, simple and complex trends. The topological dimension of the lines of dynamics for tax revenues of all types of taxes is much higher than 1, and the Hirst index indicates either fractal similarity of dynamics or its chaos. The map of dissipation periods of tax revenues in Ukraine, determined on the basis of entropy calculation and periods of negative entropy production according to the dynamics of tax revenues, coincided with the periods of maximum reduction in their volumes. The most crisis periods in the formation of tax revenues are 2019–2020, for certain types of taxes – 2016–2020, but the dissipation of tax revenues is projected for 2021–2022.The comparison of the level of fractal similarity in dynamics of the volume of tax revenues and peculiarities of the dynamics of entropy and entropy production, allowed to substantiate the division of taxes into nine types, of which five were found in Ukraine.


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