Hamiltonian matrix
In mathematics, a Hamiltonian matrix A is any real 2n × 2n matrix A 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 subspace of dimension 2n2 + n.
Properties
-
- where A, B, C, and D are n × n matrices. Then M is a Hamiltonian matrix provided that the matrices B and C are symmetric, and that A + DT = 0.
- The transpose of a Hamiltonian matrix is Hamiltonian.
- The trace of a Hamiltonian matrix is zero.
- The commutator of two Hamiltonian matrices is Hamiltonian.
- The eigenvalues of any Hamiltonian matrix are symmetric about the imaginary axis.
- The space of all Hamiltonian matrices is a Lie algebra .[1]
Hamiltonian operators
Let V be a vector space, equipped with a symplectic form Ω. A linear map is called a Hamiltonian operator with respect to Ω if the form is symmetric. Equivalently, it should satisfy
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.
See also
References
- Meyer, K. R.; Hall, G. R. (1991). Introduction to Hamiltonian dynamical systems and the N-body problem. Springer. pp. 34–35. ISBN 0-387-97637-X.
Notes
- ^ Dragt, Alex J. (2005), "The symplectic group and classical mechanics", Annals of the New York Academy of Sciences 1045 (1): 291–307, doi:10.1196/annals.1350.025 .
- ^ Waterhouse, William C. (2005), "The structure of alternating-Hamiltonian matrices", Linear Algebra and its Application 396: 385–390, doi:10.1016/j.laa.2004.10.003 .