Hamiltonian matrix
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In mathematics, a Hamiltonian matrix A is any real 2n×2n matrix, that satisfies the condition that KA is symmetric, where K is the skew-symmetric matrix
and In is the n×n identity matrix. In other words, A is Hamiltonian if and only if
In the vector space of all 2n×2n matrices, Hamiltonian matrices form a 2n2 + n vector subspace.
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[edit] Properties
- Let M be a 2n×2n block matrix given by
where A,B,C,D are n×n matrices. Then M is a Hamiltonian matrix provided that matrices B,C are symmetric, and A + DT = 0.
- The transpose of a Hamiltonian matrix is Hamiltonian.
- The trace of a Hamiltonian matrix is zero.
- Commutator of two Hamiltonian matrices is Hamiltonian.
The space of all Hamiltonian matrices is a Lie algebra
.[1]
[edit] Hamiltonian operators
Let V be a vector space, equipped with a symplectic form Ω. A linear map
is called a Hamiltonian operator with respect Ω to if the form
is symmetric. Equivalently, it should satisfy
- Ω(A(x),y) = − Ω(x,A(y))
Choose a basis e1,...e2n in V, such that Ω is written as
. A linear operator is Hamiltonian with respect to Ω if and only if its matrix in this basis is Hamiltonian.[2]
From this definition, the following properties are apparent. A square of a Hamiltonian matrix is skew-Hamiltonian. An exponential of a Hamiltonian matrix is symplectic, and a logarithm of a symplectic matrix is Hamiltonian.
[edit] See also
[edit] References
- K.R.Meyer, G.R. Hall (1991). Introduction to Hamiltonian dynamical systems and the 'N'-body problem. Springer, pp. 34-35. ISBN 0-387-97637-X.
[edit] Notes
- ^ Alex J. Dragt, The Symplectic Group and Classical Mechanics'' Annals of the New York Academy of Sciences (2005) 1045 (1), 291-307.
- ^ William C. Waterhouse, The structure of alternating-Hamiltonian matrices, Linear Algebra and its Applications, Volume 396, 1 February 2005, Pages 385-390




