具有时滞和脉冲输入的一类双资源和两种微生物恒化器模型的分析

考虑一类双资源和两种微生物且具有时滞和脉冲输入的恒化器模型,证明了微生物灭绝周期解的存在性,并得到该周期解全局吸引性的临界条件和系统持久的充分条件,最后利用数值模拟结果说明本文的主要结论.     

一类具有互补型营养基的时滞恒化器模型Hopf分支的存在性

该文研究了一类具有互补型营养基和两个不同时滞的微生物培养恒化器模型.首先利用Lyapunov函数和极限集理论使系统降维,然后对时滞分情况讨论其对系统动力学行为的影响,得到系统平衡点稳定和Hopf分支存在的充分条件.最后,通过数值模拟验证了主要结论的正确性.     

具有脉冲毒素投放和营养再生的恒化器模型

研究具有脉冲毒素投放和营养再生的恒化器模型.利用脉冲微分方程的比较定理和小扰动方法得到了边界周期解全局渐近稳定的充分条件,进而得到了系统持续生存的充分条件.结果表明毒素环境将会导致微生物种群的灭绝.     

污染环境下具有时滞和脉冲输入两种营养基和一种微生物恒化器模型的动力学分析(英文)

本文研究在污染环境下带有时滞和脉冲输入的双营养基和一种微生物的恒化器模型.利用脉冲微分方程比较定理,我们得到微生物灭绝周期解的全局吸引和系统持久的充分条件.     

具有时滞的周期非均匀竞争恒化器模型的空间动力学

本文提出了一个具有时滞的周期非均匀单种营养基——双种微生物的竞争恒化器模型,利用半群理论, 获得了该模型解的存在唯一性. 进一步, 建立了该模型的竞争排斥原理, 给出了两竞争物种共存的充分条件.     

一类具有连续输入互补型营养基的捕食者-食饵恒化器模型

研究了一类具有连续输入双营养基的捕食者-食饵恒化器模型,极限营养基的吸收采用Monod型.通过构造Lyapunov函数把四维双营养基模型化为二维模型,研究了极限系统非负平衡点的稳定性和极限环存在的条件.最后,通过数值模拟验证了结论的正确性.     

一类具有logistic增长的SIR时滞传染病模型的稳定性分析

研究了一类具有logistic增长的时滞SIR传染病模型,得到了决定疾病爆发和消亡的阈值R_0,证明了当R_01时,对于任意的时滞τ,无病平衡点都是全局渐近稳定的,此时疾病消亡;当R_01时,系统会出现一个临界值τ_0,当ττ_0时,地方病平衡点不稳定;当ττ_0,且满足给定的条件时,地方病平衡点局部渐近稳定;当τ=τ_0时,系统发生Hopf分支.通过数值模拟,验证了上述结论的正确性,且做了参数的敏感度分析.     

一类自调节免疫的时滞病毒感染模型分析

针对病毒在感染宿主的过程中,细胞免疫的时间滞后、非线性发生率、自调节免疫等因素往往同时出现的问题,建立了具有饱和发生率和自调节免疫的时滞病毒感染模型,证明了当R_0≤1,τ为任意值时,无病平衡点局部渐近稳定,当R_01时,存在唯一正平衡点,且在一定的条件下,存在-σ_00,当ττ_0时,正平衡点局部渐近稳定;当ττ_0时,正平衡点不稳定.最后,通过数值模拟验证了理论结果的正确性.     

粘性不可压缩对流占优Oseen方程的非协调子格稳定化有限元法分析

<正>1引言本文考虑粘性不可压缩对流占优Oseen方程,(?)(1)其中:Ω(?)R~d(d=2)为具有Lipschitz连续边界的有界开集,β∈W~(1,∞)(Ω)且▽·β=0,μ、σ为常数,f∈L~2(Ω).当采用通常的混合有限元方法(MFEM)求解时,一般会遇到以下两个困难:·为保证速度和压力数值解稳定,要求有限元空间满足inf-sup(or Babuska-Brezzi)条件.·当对流占优,即0μ《||β||_(L~∞(Ω))时,数值解会产生伪振荡.     

具有多个参数扰动的随机恒化器模型的持久性与灭绝性

考虑了一类营养基输入浓度和营养转化率同时受到白噪声干扰的随机恒化器模型.首先应用随机微分方程的比较原理证明了模型正解的全局存在性和唯一性.其次通过构造Lyapunov函数,利用伊藤公式和随机微分方程的一些结论研究了随机系统的持久性和灭绝性.最后通过数值模拟验证了所得结果的正确性.     

On the Stability of Eaton’s Characterization by the Properties of Linear Forms

We consider a population and a sample X ₁,X ₂,…,X _n of n independent observations drawn from this population. We assume that two suitably chosen linear statistics of X ₁,X ₂,…,X _n are given. The assumption that these statistics are identically distributed or have the same distribution as the monomial X ₁ can be used to characterize various populations. This is an object of the so-called characterization theorems. But if the assumptions of a characterization theorem are fulfilled only approximately, then can we state that the conclusion of this characterization is also fulfilled approximately? Theorems concerning problems of this type are called stability theorems. By Eaton’s theorem, if, under additional conditions, two linear statistics $(X_{1}+\cdots +X_{k_{1}})/k_{1}^{1/\alpha}We consider a population and a sample X ₁,X ₂,…,X _n of n independent observations drawn from this population. We assume that two suitably chosen linear statistics of X ₁,X ₂,…,X _n are given. The assumption that these statistics are identically distributed or have the same distribution as the monomial X ₁ can be used to characterize various populations. This is an object of the so-called characterization theorems. But if the assumptions of a characterization theorem are fulfilled only approximately, then can we state that the conclusion of this characterization is also fulfilled approximately? Theorems concerning problems of this type are called stability theorems. By Eaton’s theorem, if, under additional conditions, two linear statistics and have the same distribution as the monomial X ₁, then this monomial has a symmetric stable distribution of order α. The stability estimation in this theorem is investigated in the λ ₀-metric.      

n-2型黎曼空间的等距对应

<正> §1.导言一个正则的 n 维黎曼空间,若恰有 p 个函数独立的不变量,便称为 p 型的,这样的空间,我们将用 R(n,p)表之.此定义创自 T.Y.Thomas,他并详尽地研究了特殊情况:n=2,p=0,1,2.本文作者假定两个 R(n,n—2)具有结构相同的两组不变式 I_1,     

Survival schedules and the estimation of the basic reproduction number ($${{\varvec{R}}}_{0}$$) without the assumption of extreme cases

Closed form expressions for the estimation of \(\hbox {R}_{0}\) in age structured populations have been derived by making assumptions about the mortality of host populations. In general, these mortality assumptions tend to be unrealistic when compared with the survival schedules of most natural populations. Here, I review important results for the estimation of \(\hbox {R}_{0}\) when the force of infection is constant and age independent in age structured host populations. I also present the details of a simple method for \(\hbox {R}_{0}\) estimation that can use data on the age structure of a host population derived from cross-sectional epidemiological studies, provided a few but clearly stated assumptions are met. I illustrate the method using data from a cross-sectional study about cutaneous leishmaniasis exposure in dogs from an endemic rural village in Panamá and compare \(\hbox {R}_{0}\) estimates based on closed form expressions and using a smoothed survival schedule. Finally, the use of the smoothed survival schedule provided an R\(_{0}\) estimate bounded by those obtained using closed form expressions that make extreme assumptions about mortality.     

总人口规模变化的年龄结构SEIR流行病模型的稳定性

运用泛函分析中的谱理论和非线性发展方程的齐次动力系统理论,讨论了总人口规模变化情况下的年龄结构的SEIR流行病模型．得到了与总人口增长指数λ*有关的再生数R0的表达式,证明了当R0<1时,系统存在唯一局部渐近稳定的无病平衡态;当 R0>1时,无病平衡态不稳定,此时存在地方病平衡态,并在一定条件下证明了地方病平衡态是局部渐近稳定的．     

几何测度空间基的研究

研究了几何测度空间中的基本对称函数μ_0,μ_1,…,μ_n和内蕴体积函数V_0,V_1,…,V_n,证明了Lⁿ上连续不变赋值函数空间中由基本对称函数构成的基{μ_0,μ_1,…,μ_n}和由内蕴体积函数构成的基{V_0,V_1,…V_n}(或均质积分构成的基{W_0,W_1,…,W_n})等价.     

环面上的微分方程(Ⅰ)

<正> 关于定义在环面上的微分方程,其积分曲线的拓扑研究开始於 H.Poincaré,经过Bohl 及 Denjoy 等的补充瑟发展,对于不具有奇点的情形,在 Kneser 的工作中便基本上完成了.在拓年结构的研究中,旋转数μ的研究是占有决定性的位置的.但是,过去的文献中对于如何由已给的具体方程去算出μ的值是当作一个未解决的难题遗留下來的.如果沒有方法计算μ,也就不能具体地应用上述各文中所得到的完整的拓扑理论.本文及以后各文将对这一问题进行研究和逐步设法解决.     

圓環上的單葉函數

<正> 1.設G是z平面上的兩連區域,它的每一個境界部分都不止含有一點.我們知道有唯一的半徑R使圓環1<|ζ|相似文献   

On Singular Phenomena in Certain Time-Optimal Problem

The purpose of this paper is to present the solution of time-optimal problem ofthe controlled object the dynamics of which is given by: , , where and motion resistance function if ,f(x)=-A if x > 0 where . That model describes dynamicsof a very important class of industrial installations. As the time-optimalproblem will be understood a transfer of the initial state to the target state in a minimumtime . There has been shown that in the formula defining resistancefunction f(x)there exists a value that plays an essentialrole in time-optimal structure formation. Namely, if then thetime-optimal control process is typical, analogous as in classical case , i.e. there exists a switching curve formed by thetrajectories of time-optimal solutions reaching the target state and thetime-optimal process is formed by at most one switching operation. For the caseA>A_bwe will examine two following singular phenomena.(a) If the target state z₁=(0, 0) then there exists theswitching curve, dividing the state plane into two sets, however only one itsbranch is formed by the time-optimal solution reaching the target z₁=(0, 0) and generated by the control u=-1. None of solution formsthe second branch of switching curve. It is formed by a state-locus dependingon the value of Aonly. In dependency of the starting state z₀ thetime-optimal control process is generated by bang-bang control with none,one or two switching operations. This is the first singular phenomenon,because any small decrease of the value Aover A _b requires to change thestructure which would be able to generate the time-optimal process.(b) The paper shows, that if the target state z ₁(x_1, 0), x₁>0then there exists a set of the starting states from which there start twotrajectories reaching the target in the same minimum time. This is thesecond phenomenon.Finally, some suggestions as to practical applications have been given too.     

单位球上μ-Bloch空间之间的加权Cesàro算子

主要讨论了C~n中单位球上空间β_μ到β_ν、β_μ,0到β_ν,0的加权Cesàro算子的有界性和紧性问题,给出了这些空间上加权Cesàro算子有界和紧的充要条件.     

A general class of entropy statistics

To study the asymptotic properties of entropy estimates, we use a unified expression, called the -entropy. Asymptotic distributions for these statistics are given in several cases when maximum likelihood estimators are considered, so they can be used to construct confidence intervals and to test statistical hypotheses based on one or more samples. These results can also be applied to multinomial populations.