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TheoremStatement: AI-adaptedProof: AI-generatedPipeline-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14
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Equivalent characterizations of Lagrangian subspaces

Statement

Let (V,ω) be a real symplectic vector space of dimension 2n. For a subspace L≤V, the following are equivalent:

  1. L=Lω;
  2. L is isotropic and dim⁡L=n;
  3. L is coisotropic and dim⁡L=n;
  4. L is maximal among isotropic subspaces.

Thus each condition characterizes the Lagrangian subspaces.

Facts & Assumptions

Given: A 2n-dimensional real symplectic vector space (V,ω) and L≤V.

[F1]

For every W≤V, dim⁡W+dim⁡Wω=2n. Symplectic double-orthogonal and dimension identities.

[F2]

Isotropic, coisotropic, and Lagrangian mean respectively W⊆Wω, Wω⊆W, and W=Wω. Isotropic, coisotropic, symplectic, and Lagrangian subspaces.

Proof

technique · direct
1.1F1F2

If L=Lω, [F1] gives 2dim⁡L=2n; [F2] then makes L both isotropic and coisotropic. Thus condition 1 implies conditions 2 and 3.

1.2F1F2

If condition 2 holds, then L⊆Lω and [F1] gives dim⁡Lω=n=dim⁡L, hence equality. If condition 3 holds, the reverse inclusion and the same dimension calculation likewise give equality. Thus conditions 2 and 3 each imply condition 1.

1.3F1F2

A self-orthogonal L is maximal isotropic: if an isotropic K contains L, then K⊆Kω⊆Lω=L, hence K=L.

2.1F2choosealgebra∎

Conversely, suppose L is maximal isotropic. If L≠Lω, choose v∈Lω∖L; alternation and v∈Lω make L+Rv a strictly larger isotropic subspace, which maximality forbids. Hence L=Lω. This argument also covers n=0, when L=0.

Depends on

Used by

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Sources