Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2003-11-07
Physica A, 340(2004)117
Physics
Condensed Matter
Statistical Mechanics
Final version, 10 pages, no figures, Invited talk at the international conference NEXT2003, 21-28 september 2003, Villasimius
Scientific paper
10.1016/j.physa.2004.03.086
This is a study of the information evolution of complex systems by geometrical consideration. We look at chaotic systems evolving in fractal phase space. The entropy change in time due to the fractal geometry is assimilated to the information growth through the scale refinement. Due to the incompleteness of the state number counting at any scale on fractal support, the incomplete normalization $\sum_ip_i^q=1$ is applied throughout the paper, where $q$ is the fractal dimension divided by the dimension of the smooth Euclidean space in which the fractal structure of the phase space is embedded. It is shown that the information growth is nonadditive and is proportional to the trace-form $\sum_ip_i-\sum_ip_i^q$ which can be connected to several nonadditive entropies. This information growth can be extremized to give power law distributions for these non-equilibrium systems. It can also be used for the study of the thermodynamics derived from Tsallis entropy for nonadditive systems which contain subsystems each having its own $q$. It is argued that, within this thermodynamics, the Stefan-Boltzmann law of blackbody radiation can be preserved.
Mehaute Alain Le
Nivanen Laurent
Pezeril Michel
Wang Qiuping A.
No associations
LandOfFree
Fractal geometry, information growth and nonextensive thermodynamics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Fractal geometry, information growth and nonextensive thermodynamics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fractal geometry, information growth and nonextensive thermodynamics will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-342526