Symplectic matrix
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In mathematics, a symplectic matrix is a 2n×2n matrix M (whose entries are typically either real or complex) satisfying the condition
- [M^T \Omega M = \Omega.]
- [\Omega =\begin0 & I_n \\-I_n & 0 \\\end]
N.B. Some authors prefer to use a different Ω for the definition of symplectic matrices. The only essential property is that Ω be a nonsingular, skew-symmetric matrix. The most common alternative is the block diagonal form
- [\Omega = \begin\begin0 & 1\\ -1 & 0\end & & 0 \\ & \ddots & \\0 & & \begin0 & 1 \\ -1 & 0\end\end]
Sometimes, the notation J is used instead of Ω for the skew-symmetric matrix. This is a particularly unfortunate choice as it leads to confusion with a linear complex structure, as described below.
Properties
Every symplectic matrix has an inverse which is given by
- [M^ = \Omega^ M^T \Omega]
It follows easily from the definition that the determinant of any symplectic matrix is ±1. Actually, it turns out that the determinant is always +1. One way to see this is through the use of the Pfaffian and the identity
- [\mbox(M^T \Omega M) = \det(M)\mbox(\Omega).]
Let M be a 2n×2n block matrix given by
- [M = \beginA & B \\ C & D\end]
- [A^TD - C^TB = 1]
- [A^TC = C^TA]
- [D^TB = B^TD.]
Symplectic transformations
In the abstract formulation of linear algebra, matrices are replaced with linear transformations of finite-dimensional vector spaces. The abstract analog of a symplectic matrix is a symplectic transformation of a symplectic vector space. Briefly, a symplectic vector space is a 2n-dimensional vector space V equipped with a nondegenerate, skew-symmetric bilinear form ω.
A symplectic transformation is then a linear transformation L : V → V which preserves ω, i.e.
- [\omega(Lu, Lv) = \omega(u, v).]
- [M^T \Omega M = \Omega.]
- [\Omega \mapsto A^T \Omega A]
- [M \mapsto A^ M A.]
Notation: J vs. Ω
Sometimes, the notation J is used instead of Ω for the skew-symmetric matrix. This is a particularly unfortunate choice as it leads to confusion with a linear complex structure, which often has the same coordinate expression but represents a very different structure. These are two different things and should be distinguished. In particular, one could easily choose a basis for which Ω2 ≠ −1, whereas this is an essential quality of a complex structure. Moreover, J should be understood as a linear transformation whereas Ω is a bilinear form.Given a hermitian structure on a vector space, J and Ω are related via
- [\Omega_ = g__b]
See also
- symplectic vector space
- symplectic group
- symplectic representation
- orthogonal matrix
- unitary matrix
- Hamiltonian mechanics
References
- [Symplectic matrix] on PlanetMath
- [The characteristic polynomial of a symplectic matrix is a reciprocal polynomial] on PlanetMath
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