渐近非自治Lotka-Volterra竞争系统正解的渐近性

对参数与时间有关且分别渐近接近于周期函数的n维非自治Lotka Volterra竞争系统进行了研究,如果相应的周期系统存在唯一全局渐近稳定的正周期解,那么该系统的任意一个正解都渐近接近于相应周期系统的严格正周期解.     

具有非局部时滞的扩散Nicholson苍蝇方程的波前解

研究了具有非局部时滞的扩散Nicholson苍蝇方程,其中时滞由一个定义在所有过去时间和整个一维空间区域上的积分卷积表示.当时滞核是强生成核时,根据线性链式技巧和几何奇异扰动理论,获得了小时滞时波前解的存在性.     

一类生化反应微分方程的定性分析

对一类生化反应模型x=δ-ax-xpyq,y=xpyq-by(δ>0,b>0,a>0,p 1,q>1)进行了研究.讨论了系统平衡点的稳定性态,对系统极限环的位置做出了估计.同时讨论了系统无环的充分条件以及极限环存在惟一性条件.     

Wavefront solutions in diffusive Nicholson＇s blowflies equation with nonlocal delay

This paper is concerned with the diffusive Nicholson＇s blowflies equation with nonlocal delay incorporated as an integral convolution over the entire past time up to now and the whole one-dimensional spatial domain R. Assume that the delay kernel is a strong generic kernel. By the linear chain techniques and the geometric singular perturbation theory, the existence of travelling front solutions is shown for small delay.     

具有扩散影响的Hopfield型神经网络的全局渐近稳定性

对具有扩散影响的Hopfield型神经网络平衡点的存在唯一性和全局渐近稳定性进行了研究．在激活函数单调非减、可微且关联矩阵和Liapunov对角稳定矩阵有关时,利用拓扑度理论得到了系统平衡点存在的充分条件．通过构造适当的平均Liapunov函数,分析了系统平衡点的全局渐近稳定性．所得结论表明系统的平衡点(如果存在)是全局渐近稳定的而且也蕴含着系统的平衡点的唯一性．     

一类多分子反应模型的定性分析

对一类多分子反应模型x=1-αx-x2y2,y=β(x2y2-y)在α>0,β>0时进行了研究.分 析了系统平衡点的个数及其稳定性,讨论了系统闭轨线的不存在性和系统的一阶Hopf分支.     

具有时滞的Lotka-Volterra食饵-捕食者成年种群模型的稳定性分析

本文主要考虑具有时滞的Lotka-Volterra食饵-捕食者成年种群模型.首先,通过线性化方法和分析特征根在复平面上的分布情况,获得了系统边界平衡点的局部渐近稳定性;其次,利用比较原理和上下解方法证明了半平凡平衡点和共存平衡点的全局渐近稳定性.     

Wavefront solutions in diffusive Nicholson’s blowflies equation with nonlocal delay

This paper is concerned with the diffusive Nicholson’s blowflies equation with nonlocal delay incorporated as an integral convolution over the entire past time up to now and the whole one-dimensional spatial domain R.Assume that the delay kernel is a strong generic kernel.By the linear chain techniques and the geometric singular perturbation theory,the existence of travelling front solutions is shown for small delay.     

一类多分子反应模型的定性分析

对一类多分子反应x=1-ax-x2yt,y=β(x2yt-y)(a＞0,β＞0,q≥2)进行了研究.讨论了系统平衡点的稳定性态,对系统极限环的位置做出了估计,同时讨论了系统无环的充分条件以及极限环的存在唯一性.     

Global asymptotic stability for Hopfield-type neural networks with diffusion effects

The existence, uniqueness and global asymptotic stability for the equilibrium of Hopfield-type neural networks with diffusion effects are studied. When the activation functions are monotonously nondecreasing, differentiable, and the interconnected matrix is related to the Lyapunov diagonal stable matrix, the sufficient conditions guaranteeing the existence of the equilibrium of the system are obtained by applying the topological degree theory. By means of constructing the suitable average Lyapunov functions, the global asymptotic stability of the equilibrium of the system is also investigated. It is shown that the equilibrium (if it exists) is globally asymptotically stable and this implies that the equilibrium of the system is unique.