Lingling Liu, Ke-wei Ding, Hebai Chen. DYNAMICAL ANALYSIS OF A LOTKA-VOLTERRA LEARNING-PROCESS MODEL[J]. Journal of Applied Analysis & Computation, 2019, 9(5): 1855-1871. doi: 10.11948/20180331
Citation: |
Lingling Liu, Ke-wei Ding, Hebai Chen. DYNAMICAL ANALYSIS OF A LOTKA-VOLTERRA LEARNING-PROCESS MODEL[J]. Journal of Applied Analysis & Computation, 2019, 9(5): 1855-1871. doi: 10.11948/20180331
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DYNAMICAL ANALYSIS OF A LOTKA-VOLTERRA LEARNING-PROCESS MODEL
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1.
School of Sciences, Southwest Petroleum University, Chengdu, Sichuan 610500, China
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2.
Institute for Artificial Intelligence, Southwest Petroleum University, Chengdu, Sichuan 610500, China
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3.
School of Computer Science and Technology, Southwest Minzu University, Chengdu, Sichuan 610041, China
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4.
School of Mathematics and Statistics, Central South University, Changsha, Hunan 410083, China
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5.
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350116, China
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Corresponding author:
Email address: chen hebai@sina.com(H. Chen)
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The authors were supported by National Natural Science Foundation of China (11501475, 11771308, 11801079, 11871041)
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Abstract
A Lotka-Volterra learning-process model was proposed by Monteiro and Notargiacomo in [Commum. Nonlinear Sci. Numer. Simulat. 47(2017), 416-420] to approach learning process as an interplay between understanding and doubt. They studied the stability of the boundary equilibria and gave some numerical simulations but no further discussion for bifurcations. In this paper, we study the qualitative properties of the interior equilibria and a singular line segment completely. Moreover, we discuss their bifurcations such as transcritical, pitchfork, Hopf bifurcation on isolated equilibria and transcritical bifurcation without parameters on non-isolated equilibria. Finally, we also demonstrate these analytical theory by numerical simulations.
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