Title Analysis of complexity in interacting diffusion systems by entropy characteristic
Authors Tang, Shaoting
Jiang, Xin
Ma, Lili
Zheng, Zhiming
Zhang, Zhanli
Affiliation School of Mathematics and Systems Science, LMIB, SKLSDE, Beihang University, 37 Xueyuan Road, Beijing, China
SKLSDE School of Mathematical Sciences, Peking University LMIB, 5 Yiheyuan Road, Beijing, China
Issue Date 2010
Citation 15th WSEAS International Conference on Applied Mathematics, MATH'10.Vouliagmeni, Athens, Greece.
Abstract We investigate a class of systems with finite-capacity effect which has a more complex configuration than a well-known diffusion process featured by random walk. To answer how complex such a diffusion process is, entropy rate is introduced. Systems with finite-capacity effect are characterized by variable capacity of routers locating on highly heterogeneous complex networks. It is shown that the combinational behavior of complex topology and variable capacity is the main origin of complexity described by positive entropy. Further, analytical expressions are derived and convinced by simulations. Also, Maximum entropy principle provides an effective measure to design an optimal diffusion process.
URI http://hdl.handle.net/20.500.11897/329673
Indexed EI
Appears in Collections: 数学科学学院

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