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Effect of time delay on the upper bound of the time derivative of information entropy in a stochastic dynamical system
Authors:Zhang Min-Min  Wang Can-Jun and Mei Dong-Cheng
Affiliation:Department of Physics, Yunnan University, Kunming 650091, China; Nonlinear Research Institute, Baoji University of Arts and Sciences, Baoji 721016, China
Abstract:The effects of the time delay on the upper bound of the time derivative of information entropy are investigated in a time-delayed dynamical system driven by correlated noise. Using the Markov approximation of the stochastic delay differential equations and the Schwartz inequality principle, we obtain an analytical expression for the upper bound UB(t) of the time derivative of the information entropy. The results show that there is a critical value of τ (delay time), and UB(t) presents opposite behaviours on difference sides of the critical value. For the case of the weak additive noise, τ can induce a reentrance transition. Delay time τ also causes a reversal behaviour in UB(t)-λ plot, where λ denotes the degree of the correlation between the two noises.
Keywords:information entropy  upper bound  time delay  noise
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