Logarithmic derivates of a square matrix
Logarithmic derivates of a square matrix
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DOI:
10.1016/0024-3795(73)90015-3
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发表时间:
1973
影响因子:
1.1
通讯作者:
C. Pao
中科院分区:
文献类型:
--
作者:
C. Pao
It is well-known that the value of the logarithmic derivative μ[A] of ann×nsquare matrixAis bounded from below by max Re(λi) with respect to any norm ofA, where λi(i= 1, 2,…,n) are the eigenvalues ofA. In the stability theory of differential equations it is desirable to know the smallest value of μ[A]. The purpose of this note is to give a direct method for the construction of an operator norm with respect to which μ[A] can be made arbitrarily close to max Re(λi) and to show that in general μ[A] ≠ max Re(λi). An application is given to the stability problem of a linear equation under nonlinear perturbations.