Abstract

Study on the Compatibility of Multi-Bifurcations by Simulations of Pattern Formation

Highlights

  • Many studies have taken bifurcation as the main mathematical mechanism for the forming spatial self-organizing patterns, and have obtained simulated patterns that are highly similar to the actual patterns [5], [6]

  • In the discrete model (2.1) of this paper, focusing on the intrinsic growth rate of vegetation h d−1, Flip bifurcation and Neimark-Sacker bifurcation can occur without spatial terms

  • We found an interesting thing in the process of simulating Flip bifurcation

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Summary

INTRODUCTION

Bifurcation is an important reason for the formation of selforganizing patterns [1]–[4]. We choose a wind-sand vegetation model as an example to study the compatibility between bifurcations. A2 m · d−1 is the advection coefficient representing the dispersal of vegetation by wind. D2 m2 · d−1 is the diffusion coefficient representing the dispersal of vegetation without strong unidirectional wind. In the model of this paper, the spatial diffusion and flow processes of vegetation and sedimentary sand are considered first. In the discrete model (2.1) of this paper, focusing on the intrinsic growth rate of vegetation h d−1 , Flip bifurcation and Neimark-Sacker bifurcation can occur without spatial terms. A question arises as to what the dynamics will be can Turing-Flip, Turing-Neimark-Sacker, Flip-Neimark-Sacker and Turing-Neimark-Sacker-Flip bifurcation occurs, and how they influence the self-organization of vegetation patterns. We will discuss the possible reasons that cause the different pattern

MODEL AND BIFURCATION ANALYSIS
NEIMARK-SACKER-FLIP BIFURCATION ANALYSIS
DISCUSSION

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