Symplectic matrix

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In mathematics, a symplectic matrix is a 2n×2n matrix M with real entries that satisfies the condition

M^T \Omega M = \Omega\,.






where MT denotes the transpose of M and Ω is a fixed 2n×2n nonsingular, skew-symmetric matrix. This definition can be extended to 2n×2n matrices with entries in other fields, e.g. the complex numbers.

Typically Ω is chosen to be the block matrix

\Omega =
0 & I_n \\
-I_n & 0 \\

where In is the n×n identity matrix. The matrix Ω has determinant +1 and has an inverse given by Ω−1 = ΩT = −Ω.

Every symplectic matrix has unit determinant, and the 2n×2n symplectic matrices with real entries form a subgroup of the special linear group SL(2n, R) under matrix multiplication, specifically a connected noncompact real Lie group of real dimension n(2n + 1), the symplectic group Sp(2n, R). The symplectic group can be defined as the set of linear transformations that preserve the symplectic form of a real symplectic vector space.

An example of a group of symplectic matrices is the group of three symplectic 2x2-matrices consisting in the identity matrix, the upper triagonal matrix and the lower triangular matrix, each with entries 0 and 1.


Every symplectic matrix is invertible with the inverse matrix given by

M^{-1} = \Omega^{-1} M^T \Omega.

Furthermore, the product of two symplectic matrices is, again, a symplectic matrix. This gives the set of all symplectic matrices the structure of a group. There exists a natural manifold structure on this group which makes it into a (real or complex) Lie group called the symplectic group. The symplectic group has dimension n(2n + 1).

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{Pf}(M^T \Omega M) = \det(M)\mbox{Pf}(\Omega).

Since M^T \Omega M = \Omega and \mbox{Pf}(\Omega) \neq 0 we have that det(M) = 1.

Suppose Ω is given in the standard form and let M be a 2n×2n block matrix given by

M = \begin{pmatrix}A & B \\ C & D\end{pmatrix}

where A, B, C, D are n×n matrices. The condition for M to be symplectic is equivalent to the conditions

A^TD - C^TB = I
D^TB = B^TD.

When n = 1 these conditions reduce to the single condition det(M) = 1. Thus a 2×2 matrix is symplectic iff it has unit determinant.

With Ω in standard form, the inverse of M is given by

M^{-1} = \Omega^{-1} M^T \Omega=\begin{pmatrix}D^T & -B^T \\-C^T & A^T\end{pmatrix}.

Symplectic transformations[edit]

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 called the symplectic form.

A symplectic transformation is then a linear transformation L : VV which preserves ω, i.e.

\omega(Lu, Lv) = \omega(u, v).

Fixing a basis for V, ω can be written as a matrix Ω and L as a matrix M. The condition that L be a symplectic transformation is precisely the condition that M be a symplectic matrix:

M^T \Omega M = \Omega.

Under a change of basis, represented by a matrix A, we have

\Omega \mapsto A^T \Omega A
M \mapsto A^{-1} M A.

One can always bring Ω to either the standard form given in the introduction or the block diagonal form described below by a suitable choice of A.

The matrix Ω[edit]

Symplectic matrices are defined relative to a fixed nonsingular, skew-symmetric matrix Ω. As explained in the previous section, Ω can be thought of as the coordinate representation of a nondegenerate skew-symmetric bilinear form. It is a basic result in linear algebra that any two such matrices differ from each other by a change of basis.

The most common alternative to the standard Ω given above is the block diagonal form

\Omega = \begin{bmatrix}
\begin{matrix}0 & 1\\ -1 & 0\end{matrix} & & 0 \\
 & \ddots & \\
0 & & \begin{matrix}0 & 1 \\ -1 & 0\end{matrix}

This choice differs from the previous one by a permutation of basis vectors.

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 the notion of a complex structure, which often has the same coordinate expression as Ω but represents a very different structure. A complex structure J is the coordinate representation of a linear transformation that squares to −1, whereas Ω is the coordinate representation of a nondegenerate skew-symmetric bilinear form. One could easily choose bases in which J is not skew-symmetric or Ω does not square to −1.

Given a hermitian structure on a vector space, J and Ω are related via

\Omega_{ab} = -g_{ac}{J^c}_b

where g_{ac} is the metric. That J and Ω usually have the same coordinate expression (up to an overall sign) is simply a consequence of the fact that the metric g is usually the identity matrix.

Complex matrices[edit]

If instead M is a 2n×2n matrix with complex entries, the definition is not standard throughout the literature. Many authors [1] adjust the definition above to

M^* \Omega M = \Omega\,.






where M* denotes the conjugate transpose of M. In this case, the determinant may not be 1, but will have absolute value 1. In the 2×2 case (n=1), M will be the product of a real symplectic matrix and a complex number of absolute value 1.

Other authors [2] retain the definition (1) for complex matrices and call matrices satisfying (2) conjugate symplectic.

See also[edit]


  1. ^ Xu, H. G. (July 15, 2003). "An SVD-like matrix decomposition and its applications". Linear Algebra and its Applications 368: 1–24. doi:10.1016/S0024-3795(03)00370-7. 
  2. ^ Mackey, D. S.; Mackey, N. (2003). "On the Determinant of Symplectic Matrices". Numerical Analysis Report 422. Manchester, England: Manchester Centre for Computational Mathematics. 

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