1) asymptotic homomorphism
渐近同态
1.
If EA1 and EA2 are asymptotic homomorphisms, then A1(?)A2 is a strongly singular maximal abelian subalgebra of M1(?)M2.
若E_(A1)和E_(A2)是渐近同态条件期望,则A_1■A_2是M_1■M_2的强奇异极大交换子代数。
2) asymptotic synchronization
渐近同步
1.
Asymptotic Synchronization of Partial-state Coupled Systems;
部分耦合系统的渐近同步
2.
Under this condition,applying Lyapunov direct method to prove that asymptotic synchronization occurs for the coupled Lorenz systems with cross coupling provided the coupling c.
运用Lyapunov稳定性理论讨论系统解的一致有界耗散性,并在此基础上采用Lyapunov直接方法证明当耦合强度足够大时交叉耦合非恒同Lorenz格点系统的解出现渐近同步,即系统解的任意两个对应分量的差在时间趋向于无穷时是一个小的有界量。
3.
We prove that the asymptotic synchronization occurs provided the coupling strength is sufficiently large.
证明了此耦合系统当耦合强度足够大时出现新渐近同步。
3) asymptotic behavior
渐近性态
1.
The asymptotic behavior of solutions for a class of delay differential systems was studied.
研究了一类时滞微分系统解的渐近性态。
2.
Under suitable conditions,using the theory of differential inequalities,the existence and asymptotic behavior of solution for the boundary value problems are studied.
适当的条件下 ,利用微分不等式理论 ,讨论了原边值问题解的存在性和渐近性态。
3.
Under suitable conditions,and by using the theory of differential inequalities, the existence and asymptotic behavior of solution for the boundary value problems are studied.
在适当的条件下,利用微分不等式理论,讨论了该边值问题解的存在性和渐近性态,给出了渐近估计式:u0(x)-Ui0(xε)-u0(0)+O(ε)≤u(x,ε)≤u0(x)+O(ε),0≤x≤1。
4) asymptotics
渐近性态
1.
There are many results on the asymptotics of the Painlevé transcendents in recent years, but the asymptotics of the fourth Painlevé transcendent has not almost been studied.
近年来关于Painlev啨方程解的渐近性态有了许多结果,但对第四类Painlev啨 y″=y′22y+32y3+4xy2+2(x2-α)y+βy方程解的渐近性态的研究并不多。
5) asymptotic steady state
渐近稳态
6) asymptotic normality
渐近正态
1.
Random weighted approximation to statistics admitting asymptotic normality;
一类具有渐近正态的统计量的随机加权逼近
2.
Under some weak conditions, the strong consistency and asymptotic normality of the SINR are obtained.
在很弱的条件下,当用户的个数和扩频因子都趋近无穷大,而它们的比保持不变时,信干比的强相合性,渐近正态等结果被证明。
3.
It is proved that the statistics is asymptotic normality,and simulation of the statistics′s asymptotic distribution is carried out with Monte Carlo method.
证明了此统计量是渐近正态的,并利用蒙特卡罗方法对统计量的渐进分布做了统计模拟。
补充资料：渐近公式
渐近公式
asymptotic formula
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参考词条