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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 LV, the following are equivalent:

  1. L=Lω;
  2. L is isotropic and dimL=n;
  3. L is coisotropic and dimL=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 LV.

[F1]

For every WV, dimW+dimWω=2n. Symplectic double-orthogonal and dimension identities.

[F2]

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

Proof

technique · direct
1.1

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

F1F2
1.2

If condition 2 holds, then LLω and [F1] gives dimLω=n=dimL, 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.

F1F2
1.3

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

F1F2
2.1

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

F2choosealgebra

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