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2003
Consider a smooth (real or complex) matrix-valued function A(e) of a (real) small parameter e, having formal power series $$ A\left( \varepsilon \right)\, \sim \,{A_{{0\,}}} + \varepsilon {A_1} + {\varepsilon^2}{A_2} + .... $$ (3.1.1) How do the eigenvectors (or generalized eigenvectors) and eigenvalues of such a matrix vary with e?
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Consider a smooth (real or complex) matrix-valued function A(e) of a (real) small parameter e, having formal power series $$ A\left( \varepsilon \right)\, \sim \,{A_{{0\,}}} + \varepsilon {A_1} + {\varepsilon^2}{A_2} + .... $$ (3.1.1) How do the eigenvectors (or generalized eigenvectors) and eigenvalues of such a matrix vary with e?
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2000
Abstract We continue to study the Hamiltonian equation (5.1) near an invariant manifold T 2n = Ф0(R × T n which possesses the properties 1-5 as in Section 5.1.
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Abstract We continue to study the Hamiltonian equation (5.1) near an invariant manifold T 2n = Ф0(R × T n which possesses the properties 1-5 as in Section 5.1.
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Low-Thrust Reconfiguration Strategy and Optimization for Formation Flying Using Jordan Normal Form
IEEE Transactions on Aerospace and Electronic Systems, 2021Xue Bai, Yanchao He, Ming Xu
exaly
Вестник Таджикского национального университета. Серия естественных наук, 2020
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