ConceptComplete

Symplectic Vector Spaces

DefinitionSymplectic Form

A symplectic form on a real vector space VV is a bilinear map ω:V×V→R\omega: V \times V \to \mathbb{R} satisfying:

  1. Skew-symmetry: Ο‰(v,w)=βˆ’Ο‰(w,v)\omega(v, w) = -\omega(w, v) for all v,w∈Vv, w \in V
  2. Non-degeneracy: If Ο‰(v,w)=0\omega(v, w) = 0 for all w∈Vw \in V, then v=0v = 0

A vector space equipped with a symplectic form is called a symplectic vector space (V,Ο‰)(V, \omega).

The symplectic form generalizes the notion of area in classical mechanics. Unlike inner products, symplectic forms are antisymmetric rather than symmetric, capturing the oriented nature of phase space in Hamiltonian mechanics.

ExampleStandard Symplectic Form on $\mathbb{R}^{2n}$

The standard symplectic form on R2n\mathbb{R}^{2n} with coordinates (q1,…,qn,p1,…,pn)(q_1, \ldots, q_n, p_1, \ldots, p_n) is:

Ο‰0=βˆ‘i=1ndqi∧dpi\omega_0 = \sum_{i=1}^n dq_i \wedge dp_i

In matrix notation, if v=(q,p)v = (q, p) and w=(qβ€²,pβ€²)w = (q', p'), then:

Ο‰0(v,w)=βˆ‘i=1n(qipiβ€²βˆ’piqiβ€²)=vTJw\omega_0(v, w) = \sum_{i=1}^n (q_i p_i' - p_i q_i') = v^T J w

where J=(0Inβˆ’In0)J = \begin{pmatrix} 0 & I_n \\ -I_n & 0 \end{pmatrix} is the standard symplectic matrix.

Remark

Every symplectic vector space has even dimension. This follows from the non-degeneracy condition: the matrix representing Ο‰\omega in any basis must be invertible and antisymmetric, which implies the dimension must be even.

The non-degeneracy of Ο‰\omega establishes an isomorphism between VV and its dual Vβˆ—V^* via v↦ω(v,β‹…)v \mapsto \omega(v, \cdot). This allows us to "raise and lower indices" similar to Riemannian geometry, but with crucial differences due to the antisymmetric nature of the form.

DefinitionSymplectic Complement

For a subspace WβŠ†VW \subseteq V, the symplectic complement is:

WΟ‰={v∈V:Ο‰(v,w)=0Β forΒ allΒ w∈W}W^\omega = \{v \in V : \omega(v, w) = 0 \text{ for all } w \in W\}

Unlike orthogonal complements, we may have W∩WΟ‰β‰ {0}W \cap W^\omega \neq \{0\}.

ExampleIsotropic and Lagrangian Subspaces

A subspace WW is:

  • Isotropic if WβŠ†WΟ‰W \subseteq W^\omega (i.e., Ο‰βˆ£W=0\omega|_W = 0)
  • Coisotropic if WΟ‰βŠ†WW^\omega \subseteq W
  • Lagrangian if W=WΟ‰W = W^\omega (maximal isotropic)

In (R2n,Ο‰0)(\mathbb{R}^{2n}, \omega_0), the subspace {(q,0):q∈Rn}\{(q, 0) : q \in \mathbb{R}^n\} spanned by position coordinates is Lagrangian.

Lagrangian subspaces play a fundamental role in symplectic geometry, analogous to the role of totally geodesic submanifolds in Riemannian geometry. They have dimension exactly n=12dim⁑Vn = \frac{1}{2}\dim V and represent maximal subspaces on which the symplectic form vanishes.