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arXiv 2101.04732math.DS
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向量时滞微分方程系统的指数稳定性及其在二阶方程中的应用

Exponential stability of systems of vector delay differential equations with applications to second order equations

Leonid Berezansky, Elena Braverman

摘要:

利用Bohl-Perron定理、先验解估计、M-矩阵和矩阵测度等结果和技巧,得到了向量泛函微分方程系统$$ \dot{x_i}(t)=A_i(t)x_i(h_i(t)) +\sum_{j=1}^n \sum_{k=1}^{m_{ij}} B_{ij}^k(t)x_j(h_{ij}^k(t)) + \sum_{j=1}^n\int\limits_{g_{ij}(t)}^t K_{ij}(t,s)x_j(s)ds,~i=1,\dots,n. $$的新的显式指数稳定性条件,其中$x_i$为未知向量函数,$A_i, B_{ij}^k, K_{ij}$为矩阵函数,$h_i,h_{ij}^k, g_{ij}$为时滞变元.利用这些结果,我们推出了二阶向量时滞微分方程的显式指数稳定性检验。

英文摘要:

Various results and techniques, such as Bohl-Perron theorem, a priori solution estimates, M-matrices and the matrix measure, are applied to obtain new explicit exponential stability conditions for the system of vector functional differential equations $$ \dot{x_i}(t)=A_i(t)x_i(h_i(t)) +\sum_{j=1}^n \sum_{k=1}^{m_{ij}} B_{ij}^k(t)x_j(h_{ij}^k(t)) + \sum_{j=1}^n\int\limits_{g_{ij}(t)}^t K_{ij}(t,s)x_j(s)ds,~i=1,\dots,n. $$ Here $x_i$ are unknown vector functions, $A_i, B_{ij}^k, K_{ij}$ are matrix functions, $h_i,h_{ij}^k, g_{ij}$ are delayed arguments. Using these results, we deduce explicit exponential stability tests for second order vector delay differential equations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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