TY - JOUR
T1 - Stochastic bifurcation in a model of love with colored noise
AU - Yue, Xiaokui
AU - Dai, Honghua
AU - Yuan, Jianping
N1 - Publisher Copyright:
© 2015 World Scientific Publishing Company.
PY - 2015/2/12
Y1 - 2015/2/12
N2 - In this paper, we wish to examine the stochastic bifurcation induced by multiplicative Gaussian colored noise in a dynamical model of love where the random factor is used to describe the complexity and unpredictability of psychological systems. First, the dynamics in deterministic love-triangle model are considered briefly including equilibrium points and their stability, chaotic behaviors and chaotic attractors. Then, the influences of Gaussian colored noise with different parameters are explored such as the phase plots, top Lyapunov exponents, stationary probability density function (PDF) and stochastic bifurcation. The stochastic P-bifurcation through a qualitative change of the stationary PDF will be observed and bifurcation diagram on parameter plane of correlation time and noise intensity is presented to find the bifurcation behaviors in detail. Finally, the top Lyapunov exponent is computed to determine the D-bifurcation when the noise intensity achieves to a critical value. By comparison, we find there is no connection between two kinds of stochastic bifurcation.
AB - In this paper, we wish to examine the stochastic bifurcation induced by multiplicative Gaussian colored noise in a dynamical model of love where the random factor is used to describe the complexity and unpredictability of psychological systems. First, the dynamics in deterministic love-triangle model are considered briefly including equilibrium points and their stability, chaotic behaviors and chaotic attractors. Then, the influences of Gaussian colored noise with different parameters are explored such as the phase plots, top Lyapunov exponents, stationary probability density function (PDF) and stochastic bifurcation. The stochastic P-bifurcation through a qualitative change of the stationary PDF will be observed and bifurcation diagram on parameter plane of correlation time and noise intensity is presented to find the bifurcation behaviors in detail. Finally, the top Lyapunov exponent is computed to determine the D-bifurcation when the noise intensity achieves to a critical value. By comparison, we find there is no connection between two kinds of stochastic bifurcation.
KW - Gaussian colored noise
KW - love model
KW - stationary probability density
KW - Stochastic bifurcation
UR - http://www.scopus.com/inward/record.url?scp=84929285021&partnerID=8YFLogxK
U2 - 10.1142/S0129183115500217
DO - 10.1142/S0129183115500217
M3 - 文章
AN - SCOPUS:84929285021
SN - 0129-1831
VL - 26
JO - International Journal of Modern Physics C
JF - International Journal of Modern Physics C
IS - 2
M1 - 1550021
ER -