Finding Orthonormal Basis of Hilbert Space wrt Lattice of Subspaces

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SUMMARY

The discussion focuses on finding an orthonormal basis B of a Hilbert space H with respect to a lattice L of closed subspaces. The orthogonal projection PU onto a closed subspace U must commute with projections PU' for all U, U' in L. The approach involves applying Zorn's lemma to obtain a maximal orthonormal subset B, but the challenge lies in demonstrating that span B equals H. A counterexample using the Hilbert space L^2([0,1]) illustrates that the projections P_{U_a} do not share common eigenvectors, indicating that the problem is unsolvable even in separable spaces.

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adriank
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I have a Hilbert space H; given a closed subspace U of H let PU denote the orthogonal projection onto U. I also have a lattice L of closed subspaces of H, such that for all U and U' in L, PU and PU' commute. The problem is to find an orthonormal basis B of H, such that for every element b of B and every element U of L, b is an eigenvector of PU (equivalently, b is in U or U).

The obvious thing to do is to apply Zorn's lemma to obtain a maximal orthonormal subset B of H satisfying the above condition, and this part works. For some reason or other, though, I'm having trouble showing that span B = H. If not, then letting W = span B, I need to find a normalized vector v in W such that for every U in L, v is an eigenvector of PU; then B ∪ {v} contradicts the maximality of B. (The following may or may not be helpful: It suffices to consider the case where U contains W.)

The idea I have right now is this: Suppose I could find a one-dimensional subspace V of W such that PV commutes with PU for all U in L, and let v be a normalized vector in V. Then for every U in L, PVPU(v) = PUPV(v) = PU(v), so PU(v) is in V. Since V is 1-dimensional, v is an eigenvector of PU(v), as desired.

The problem is that I have no idea how to choose V. I feel like this should be really easy, but for some reason I'm not seeing it.
 
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It is impossible, here is a counterexample:

Let your Hilbert space be [tex]L^2([0,1])[/tex], and let you lattice of subspaces is parametrized by [tex]a\in[0,1][/tex], namely

[tex]U_a = \{ f\in L^2([0,1]) : f(x) =0\ \forall x>a\}[/tex]

It is easy to see that the projections [tex]P_{U_a}[/tex] do not have common eigenvectors (because [tex]\displaystyle\cap_{a\in (0,1)}U_a =\varnothing[/tex])
 


Interesting, so it's impossible even if H is separable. Thanks.

I was more generally considering normal operators, rather than projections (although the case of normal operators can be reduced to the above problem). Wikipedia says it works if the operators are compact, or if one of them is compact and injective. I'll have to check if this is the case for the application I had in mind.
 

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