Linear operator decomposition

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Discussion Overview

The discussion revolves around the decomposition of bounded linear operators in infinite-dimensional spaces, specifically exploring the conditions under which such operators can be expressed as infinite sums of rank-1 operators. Participants examine the implications of this idea in the context of Banach and Hilbert spaces, as well as the nature of compact operators.

Discussion Character

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

Main Points Raised

  • Some participants propose that a bounded linear operator from Banach spaces can be expressed as an infinite sum of rank-1 operators, suggesting a form like A = ∑ y_i φ_i.
  • Others argue that for the series to converge in the operator norm, the finite rank operators must lead to a compact operator as N tends to infinity.
  • A participant notes that in Hilbert spaces, every compact operator can be approximated by finite rank operators, referencing a singular value decomposition.
  • There is a discussion about the implications of having an uncountable basis in vector spaces, with some questioning whether this can occur in Banach or Hilbert spaces.
  • Some participants clarify that if Banach spaces have countable Schauder bases, similar statements about operator decomposition can be made.
  • A question is raised about the limit of finite rank operators in topological vector spaces without norms, leading to a discussion about the definition of compact operators in this context.
  • Concerns are expressed regarding the necessity of norms to define concepts like the unit ball and the topology of convergence for operators.
  • One participant challenges the assertion that the limit of finite rank operators is compact, providing a counterexample involving the identity operator on a topological vector space with a countably infinite basis.

Areas of Agreement / Disagreement

Participants express multiple competing views regarding the decomposition of operators and the nature of compactness in various contexts. The discussion remains unresolved on several points, particularly concerning the definitions and implications of limits in topological vector spaces.

Contextual Notes

Limitations include the dependence on the definitions of compactness and convergence, as well as the assumptions about the dimensionality and structure of the spaces involved. The discussion also highlights the complexities introduced by different types of bases in vector spaces.

maze
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In finite dimensions, a matrix can be decomposed into the sum of rank-1 matrices. This got me thinking - in what situations can a bounded linear operator mapping between infinite dimensional spaces be written as an (infinite) sum of rank-1 operators?

eg, let A be a bounded linear operator from banach spaces X to Y, then perhaps we might try

[tex]A = \sum_{i=1}^\infty y_i \phi_i[/itex]<br /> <br /> for some functionals [itex]\phi_i[/itex] in X', and elements y_i in Y.<br /> <br /> Is there anything to this idea?[/tex]
 
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Presumably we want the series [itex]\sum_{i=1}^\infty y_i \phi_i[/itex] to converge in the operator norm. In this case, notice that for each N, the operator [itex]\sum_{i=1}^N y_i \phi_i[/itex] is finite rank. So if we let N tend to infinity, we get a compact operator.

On general Banach spaces things get a little hairy. But if we're working on one Hilbert space H (so we're in B(H)), things are a little nicer, and the converse is true: every compact operator is the uniform limit of a sequence of finite ranks. And in fact we get a sort of singular value decomposition: if K is a compact operator on H, then there exists a sequence {s_i} of complex numbers and orthonormal bases {e_i} and {f_i} for H such that

[tex]K = \sum_{i=1}^\infty s_i (f_i \otimes e_i^*).[/tex]

This is easy to prove. It basically follows from the fact that if K is compact, then K*K is compact and positive. So we can apply the spectral theorem to its square root (K*K)1/2. The "singular values" s_i of K are then nothing but the square roots of the eigenvalues of K*K.
 
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If your vector space has uncountable basis (which, I think, can't happen for Banach or Hilbert spaces), you would have to use an integral rather than a sum.
 
Err, doesn't [itex]L^\infty[/itex] have an uncountable basis?
 
Yes, the algebraic dimension of a Banach space is either finite or uncountable.

I don't really know what Halls meant by his comment. Maybe he was talking about Schauder bases? If your Banach spaces X and Y have (countable) Schauder bases, then a statement similar to the one in post #2 can be made. By the way, in that post I implicitly assumed that H was separable, so that we get countable orthonormal bases. There is really no loss in making this assumption, because if K is a compact operator between Hilbert spaces, then [itex](\ker K)^\perp[/itex] and [itex]\overline{\mathrm{ran} K}[/itex] are separable Hilbert spaces - so compact operators essentially live in separable Hilbert spaces.
 
Hey, I said "I think"! It's been a long time!
 
On topological vector spaces with no norm, is it true that the limit of finite rank operators is compact?
 
Limit in what sense? And how are you defining compact operators?
 
Limit in the topological sense. In the sense that there exists an operator, the limit, such that every neighborhood of the limit contains a tail of the sequence of finite rank operators. We can make the space hausdorff too so that the limit is unique.

Then a compact operator would be defined as one where the image of the unit ball is precompact. All of this requires only topology and a vector space, so we ought to be able to say something about it.
 
  • #10
You need a norm to define the unit ball.

And still, what topology are you talking about? We're taking a sequence of operators - so what is the topology on the space of operators between two your vector spaces? The topology of pointwise/uniform convergence?
 
  • #11
morphism said:
You need a norm to define the unit ball.

And still, what topology are you talking about? We're taking a sequence of operators - so what is the topology on the space of operators between two your vector spaces? The topology of pointwise/uniform convergence?


There's a standard norm on bounded linear operators. The definition of a bounded linear operator is there exists M s.t. |Tx| <= M |x| for all x in your domain. Then taking the infimum of all such M gives |T|
 
  • #12
Office_Shredder said:
There's a standard norm on bounded linear operators. The definition of a bounded linear operator is there exists M s.t. |Tx| <= M |x| for all x in your domain. Then taking the infimum of all such M gives |T|
That only makes sense if there are norms on the underlying spaces. In any case, it's already been mentioned that the uniform limit (i.e. the limit in the topology generated by the operator norm) of finite ranks is compact.
 
  • #13
Ahh right, can't use the unit ball. No matter, a compact operator can still be defined as an operator that maps a neighborhood of 0 into a subset of a compact set. As for the operator topology, I agree the topology of pointwise convergence would be a reasonable choice.

This should be true, but I can't see an easy proof.
 
  • #14
I don't think it's true. Take for instance a tvs X with a countably infinite (Hamel) basis {x_1, x_2, ...}. Then the identity I is not compact - otherwise X would be locally compact and hence finite-dimensional (a standard result). Nevertheless, I is the pointwise limit of finite rank operators. For instance if we define F_n(x_k)=x_k if k<=n and 0 otherwise, and extend by linearity, then F_n(x) -> x for all x, and F_n is a finite rank operator for each n.
 
  • #15
Nice one. I should have seen that
 

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