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Equivalent characterizations of Lagrangian subspaces
Statement
Let be a real symplectic vector space of dimension . For a subspace , the following are equivalent:
- ;
- is isotropic and ;
- is coisotropic and ;
- is maximal among isotropic subspaces.
Thus each condition characterizes the Lagrangian subspaces.
Facts & Assumptions
Given: A -dimensional real symplectic vector space and .
For every , . Symplectic double-orthogonal and dimension identities.
Isotropic, coisotropic, and Lagrangian mean respectively , , and . Isotropic, coisotropic, symplectic, and Lagrangian subspaces.
Proof
If , [F1] gives ; [F2] then makes both isotropic and coisotropic. Thus condition 1 implies conditions 2 and 3.
If condition 2 holds, then and [F1] gives , 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.
A self-orthogonal is maximal isotropic: if an isotropic contains , then , hence .
Conversely, suppose is maximal isotropic. If , choose ; alternation and make a strictly larger isotropic subspace, which maximality forbids. Hence . This argument also covers , when .
Depends on
Used by
- Product and opposite symplectic manifolds Example
- The zero section and cotangent fibres as Lagrangians Example
- A graph of a one-form is Lagrangian exactly when the form is closed Proposition
- Graphs of linear maps and Lagrangian relations Proposition
- Lagrangian submanifolds have half dimension Proposition
- Regular common level sets are Lagrangian submanifolds Proposition
Dependency tree · two levels
3 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Eckhard Meinrenken, Symplectic Geometry (standard reference, not scraped)