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Hamiltonian matrix

In mathematics, a Hamiltonian matrix is a 2n-by-2n matrix A such that JA is symmetric, where J is the skew-symmetric matrix and In is the n-by-n identity matrix. In other words, A is Hamiltonian if and only if (JA)T = JA where ( )T denotes the transpose. The collection of all Hamiltonian matrices forms a Lie algebra ; its associated Lie group is the symplectic group, whose elements are the symplectic matrices.

Properties
Suppose that the -by- matrix is written as the block matrix : A = \begin{bmatrix} a & b \\ c & d \end{bmatrix} where , , , and are -by- matrices. Then the condition that be Hamiltonian is equivalent to requiring that the matrices and are symmetric, and that . Another equivalent condition is that is of the form with symmetric. The characteristic polynomial of a real Hamiltonian matrix is even. Thus, if a Hamiltonian matrix has as an eigenvalue, then , and are also eigenvalues. ==Extension to complex matrices==
Extension to complex matrices
As for symplectic matrices, the definition for Hamiltonian matrices can be extended to complex matrices in two ways. One possibility is to say that a matrix is Hamiltonian if , as above. ==Hamiltonian operators==
Hamiltonian operators
Let be a vector space, equipped with a symplectic form . A linear map A : \; V \mapsto V is called a Hamiltonian operator with respect to if the form x, y \mapsto \Omega(A(x), y) is symmetric. Equivalently, it should satisfy :\Omega(A(x), y) = -\Omega(x, A(y)) Choose a basis in , such that is written as \sum_i e_i \wedge e_{n+i}. A linear operator is Hamiltonian with respect to if and only if its matrix in this basis is Hamiltonian. ==References==
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