Pregled bibliografske jedinice broj: 207989
The maximum entropy production principle as the guidline for predicting evolution of complex systems
The maximum entropy production principle as the guidline for predicting evolution of complex systems // MATH/CHEM/COMP 2005, Dubrovnik International Course & Conference on the Interfaces among Mathematics, Chemistry and Computer Sciences / Graovac, Ante ; Pokrić, Biserka ; Smrečki, Vilko (ur.).
Zagreb: Institut Ruđer Bošković, 2005. (pozvano predavanje, međunarodna recenzija, sažetak, znanstveni)
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Naslov
The maximum entropy production principle as the guidline for predicting evolution of complex systems
Autori
Juretić, Davor ; Županović, Paško ; Botrić, Srećko
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
MATH/CHEM/COMP 2005, Dubrovnik International Course & Conference on the Interfaces among Mathematics, Chemistry and Computer Sciences
/ Graovac, Ante ; Pokrić, Biserka ; Smrečki, Vilko - Zagreb : Institut Ruđer Bošković, 2005
Skup
Dubrovnik International Course & Conference on the Interfaces among Mathemathics, Chemistry and Computor Sciences: MATH/CHEM/COMP 2005
Mjesto i datum
Dubrovnik, Hrvatska, 20.06.2005. - 25.06.2005
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
entropy production; non-equilibrium steady state; selection principle
Sažetak
Maximum entropy production (MEP) principle has been derived recently in a ground-breaking work of Dewar (1), who used an information theoretical formulation of non-equilibrium statistical mechanics. The MEP principle states that the MEP state is reproducibly selected because it is the most probable non-equilibrium steady state compatible with given external constraints. In the linear region, for the case of an electric network, MEP is equivalent to the Kirchhoff’ s loop law when overall energy conservation is assumed (2). In the case of heat conduction in an anisotropic crystal, MEP is equivalent to the Onsager-Rayleigh principle of the “ least dissipation of energy” (3). In the nonlinear region, MEP provides generalization of Onsager’ s theory for situations and systems far from equilibrium. For instance, when modeling global climate MEP predicts that winds and currents driven by thermal gradients establish themselves as the most effective heat transport from the warmer tropics to the colder poles which maximizes the entropy production. We shall discuss what would be the best mode of MEP application in biochemistry (4, 5) and how realistic are selected states with maximum information entropy and maximum dissipation. Natural selection for the coexistence of ordered and dissipative regions far from equilibrium can be understood as an expression of the same basic concept, namely, selection of the most probable state, which produces and exports more entropy to the environment than a purely dissipative "soup". To conclude, recent research at the University of Split points out toward maximum entropy production principle as a guideline to modeling complex system, including predicting its evolution, irrespective of system scale, nature, or its distance to equilibrium. 1)Dewar, R. C. J. Phys. A: Math. Gen. 38, L371– L381 (2005). 2)Županović, P., Juretić, D., Botrić, S. Phys. Rev. E. 70, 0561108 (2004). 3)Županović, P., Juretić, D., Botrić, S. Fizika, in press (2005). 4)Županović, P., Juretić, D. Croat.Chem. Acta 77, 561-571 (2004). 5) Juretić, D., Županović, P. Comput.Biol.Chem. 27, 541-553.
Izvorni jezik
Engleski
Znanstvena područja
Fizika, Biologija
POVEZANOST RADA
Projekti:
0177163
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Prirodoslovno-matematički fakultet, Split