Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2007-03-07
Physical Review E, vol.75, 061109 (2007)
Nonlinear Sciences
Adaptation and Self-Organizing Systems
8 pages, 8 figures
Scientific paper
10.1103/PhysRevE.75.061109
We characterize the time evolution of a d-dimensional probability distribution by the value of its final entropy. If it is near the maximally-possible value we call the evolution mixing, if it is near zero we say it is purifying. The evolution is determined by the simplest non-linear equation and contains a d times d matrix as input. Since we are not interested in a particular evolution but in the general features of evolutions of this type, we take the matrix elements as uniformly-distributed random numbers between zero and some specified upper bound. Computer simulations show how the final entropies are distributed over this field of random numbers. The result is that the distribution crowds at the maximum entropy, if the upper bound is unity. If we restrict the dynamical matrices to certain regions in matrix space, for instance to diagonal or triangular matrices, then the entropy distribution is maximal near zero, and the dynamics typically becomes purifying.
Marx Christoph
Posch Harald A.
Thirring Walter
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