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In linear algebra, skew-Hamiltonian matrices are special matrices which correspond to skew-symmetric bilinear forms on a symplectic vector space. Let ''V'' be a vector space, equipped with a symplectic form . Such a space must be even-dimensional. A linear map is called a skew-Hamiltonian operator with respect to if the form is skew-symmetric. Choose a basis in ''V'', such that is written as . Then a linear operator is skew-Hamiltonian with respect to if and only if its matrix ''A'' satisfies , where ''J'' is the skew-symmetric matrix : and ''In'' is the identity matrix.〔William C. Waterhouse, (''The structure of alternating-Hamiltonian matrices'' ), Linear Algebra and its Applications, Volume 396, 1 February 2005, Pages 385-390〕 Such matrices are called skew-Hamiltonian. The square of a Hamiltonian matrix is skew-Hamiltonian. The converse is also true: every skew-Hamiltonian matrix can be obtained as the square of a Hamiltonian matrix.〔〔 Heike Faßbender, D. Steven Mackey, Niloufer Mackey and Hongguo Xu (Hamiltonian Square Roots of Skew-Hamiltonian Matrices, ) Linear Algebra and its Applications 287, pp. 125 - 159, 1999〕 ==Notes== 〔 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Skew-Hamiltonian matrix」の詳細全文を読む スポンサード リンク
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