Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2004-06-19
IMA Journal of Applied Mathematics, Oct 2007
Nonlinear Sciences
Adaptation and Self-Organizing Systems
Scientific paper
10.1093/imamat/hxm039
We propose a new way of defining entropy of a system, which gives a general form which may be nonextensive as Tsallis entropy, but is linearly dependent on component entropies, like Renyi entropy, which is extensive. This entropy has a conceptually novel but simple origin and is mathematically easy to define by a very simple expression, though the probability distribution resulting from optimizing it gives rather complex, which is compared numerically with the other entropies. It may, therefore, appear as the right candidate in a physical situation where the probability distribution does not suit any of the previously defined forms.
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