ConceptComplete

Symplectic Bases and Canonical Forms

DefinitionSymplectic Basis

A symplectic basis for (V,ω)(V, \omega) with dimV=2n\dim V = 2n is an ordered basis (e1,,en,f1,,fn)(e_1, \ldots, e_n, f_1, \ldots, f_n) such that:

ω(ei,ej)=0,ω(fi,fj)=0,ω(ei,fj)=δij\omega(e_i, e_j) = 0, \quad \omega(f_i, f_j) = 0, \quad \omega(e_i, f_j) = \delta_{ij}

In such a basis, the matrix of ω\omega is the standard symplectic matrix J=(0InIn0)J = \begin{pmatrix} 0 & I_n \\ -I_n & 0 \end{pmatrix}.

The existence of symplectic bases is a fundamental result in symplectic linear algebra, showing that all symplectic vector spaces of the same dimension are isomorphic. This is the linear version of Darboux's theorem for symplectic manifolds.

ExampleConstructing a Symplectic Basis

Given any non-zero vector v1Vv_1 \in V, since ω\omega is non-degenerate, there exists w1w_1 with ω(v1,w1)0\omega(v_1, w_1) \neq 0. Normalizing, we can choose f1f_1 so that ω(v1,f1)=1\omega(v_1, f_1) = 1.

Set e1=v1e_1 = v_1. Then span{e1,f1}\text{span}\{e_1, f_1\} is a symplectic subspace, and we can proceed inductively on the symplectic complement:

V=span{e1,f1}(span{e1,f1})ωV = \text{span}\{e_1, f_1\} \oplus (\text{span}\{e_1, f_1\})^\omega

Remark

This construction shows that every symplectic vector space admits a direct sum decomposition into symplectic 2-planes. Each 2-plane is symplectomorphic to (R2,dqdp)(\mathbb{R}^2, dq \wedge dp).

The symplectic basis allows us to express any symplectic form in canonical form, revealing the fundamental simplicity of symplectic linear algebra compared to the more complex classification problems in other geometries.

DefinitionSymplectic Normal Form for Matrices

Let A:VVA: V \to V be a linear map on a symplectic vector space. The Williamson normal form theorem states that there exists a symplectic basis in which AA takes a canonical block-diagonal form.

For symmetric positive-definite AA (relevant in optics and mechanics), the form is:

A=i=1nλi(1001)A = \bigoplus_{i=1}^n \lambda_i \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}

with λi>0\lambda_i > 0 called the symplectic eigenvalues.

ExampleApplication to Gaussian States

In quantum mechanics, Gaussian states are characterized by their covariance matrices, which are positive-definite symmetric matrices on phase space. The symplectic eigenvalues determine the purity and entanglement properties of the quantum state.

For a two-mode system with covariance matrix Γ\Gamma, the symplectic eigenvalues ν1,ν2\nu_1, \nu_2 satisfy:

ν1,ν21\nu_1, \nu_2 \geq 1

with equality if and only if the state is pure (a coherent or squeezed state).

The canonical forms for symplectic matrices are richer than those for symmetric or orthogonal matrices. A symplectic matrix may have real eigenvalues, complex eigenvalues on the unit circle, or complex eigenvalues with modulus different from 1, but the eigenvalues always appear in quartets (λ,λˉ,1/λ,1/λˉ)(\lambda, \bar{\lambda}, 1/\lambda, 1/\bar{\lambda}).

Remark

The symplectic spectrum of a matrix ASp(2n,R)A \in \text{Sp}(2n, \mathbb{R}) has the reciprocal symmetry: if λ\lambda is an eigenvalue, so is 1/λ1/\lambda. This reflects the preservation of the symplectic volume form ωn\omega^n.

DefinitionComplex Structures Compatible with $\omega$

A complex structure J:VVJ: V \to V (satisfying J2=IJ^2 = -I) is compatible with ω\omega if:

  1. ω(Jv,Jw)=ω(v,w)\omega(Jv, Jw) = \omega(v, w) for all v,wVv, w \in V
  2. g(v,w):=ω(v,Jw)g(v, w) := \omega(v, Jw) defines an inner product on VV

The space of compatible complex structures is non-empty and contractible.