Proving the Symplectic Positive Definite Matrix Theorem

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Discussion Overview

The discussion revolves around proving the Symplectic Positive Definite Matrix Theorem, with participants exploring various approaches and concepts related to symplectic vector spaces, symplectomorphisms, and eigenspace decompositions. The scope includes theoretical aspects and mathematical reasoning.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant references a resource (McDuff-Salamon's intro to symplectic topology) for hints on the problem.
  • Another participant suggests a method for proving the theorem for integer values of $\alpha$ based on eigenspace decomposition, extending to rational and real numbers through limits and common factors.
  • A participant questions the definition of ##A^\alpha## and discusses the diagonalization of matrix A, proposing that this approach preserves the symplectic form.
  • Another participant raises a new question about establishing a symplectomorphism between two symplectic vector spaces, noting the relationship between the dimensions of Lagrangian subspaces.
  • A participant explains that a linear map between symplectic vector spaces is a symplectomorphism if it maps a symplectic basis to another symplectic basis, emphasizing the completion of a basis of a Lagrangian subspace to a symplectic basis of the whole space.

Areas of Agreement / Disagreement

Participants express varying degrees of understanding and approaches to the problem, with some agreeing on methods while others introduce different perspectives. No consensus is reached on the overall proof or approach.

Contextual Notes

Participants discuss the implications of dimensions and properties of Lagrangian subspaces, but the discussion does not resolve the mathematical steps or assumptions involved in the proofs.

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You can self-administer yourself hints by looking at p.45 of McDuff-Salamon's intro to sympolectic topology.
 
I appreciate your help, but it doesn't help.
 
I think I can see how to prove that this is valid for $\alpha =n$ where n is an integers. Because the eigenspace decomposition of $\mathbb{R}^{2n}$ in $P$ is the same as its decomposition by $P^{-1}$.

To extend this to rationals and then to real, is just taking common factors and reducing the rational case to integers. And for the real exponent to take the limit of rational sequence.

Am I right in this hand waving method? :-D
 
Provided you get the details right, I don't see why it wouldn't work.

How is ##A^\alpha## defined? Do you just write ##A=Q^T \text{diag}\{\lambda_1, \ldots, \lambda_{2n}\} Q## (possible because A is symmetric) and then let ##A^\alpha=Q^T \text{diag}\{\lambda_1^\alpha, \ldots, \lambda_{2n}^\alpha\} Q## (not problematic because each ##\lambda_i## is positive). It seems pretty clear then that ##A^\alpha## will preserve whatever symplectic form ##A## preserves (it's enough to check at eigenvectors, and for eigenvectors this isn't so bad).
 
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Yes, I thought along these lines too.

Thanks.
 
I've got another question.

I want to show that for any two symplectic vector spaces of equal finite dimensions, W_i, and L_i are lagrange subspaces of W_i (i=1,2), we have a symplectomorphism A:W_1\rightarrow W_2 s.t

A(L_1)=L_2.

I was thinking along the next lines, the dimensions of L_1 and L_2 are the same cause:
dim L_1+ dim L^{\omega}_1 = dim L_1 + dim L_1 =dim V_1=dim V_2= dim L_2+dim L^{\omega}_2 = 2dim L_2 so we must have an isomorphism between L_1 and L_2, I don't see how to extend it to W_1 and W_2.
 
A linear map btw symplectic vector spaces is a symplectomorphism iff it sends a symplectic basis to a symplectic basis. (A symplectic basis for a symplectic bilinear map B is a basis (v_i) s.t. B(v_i,v_j) = the standard symplectic matrix -J.)

Observe then, that it suffices for you to prove that a basis of a lagrangian subspace L can always be completed to a symplectic basis of the whole space.

Note that lagrangian spaces are always of dimension half the dimension of the ambient space. So of course if W_1, W_2 are of equal dimension, say 2n, then L_1, L_2 are of equal dimension equal to n.
 
OK, thanks. I see it's proved in the textbook you mentioned.

Cheers!
:-)
 

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