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Diagonal Schatten class criteria on ell two

Example

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)). Let F{R,C}, let 2:=2(N,F) with its standard inner product and norm a22=nNan2 (Square-summable families on an arbitrary index set and the space 2(I), Real and complex inner-product spaces and their induced length), and let un be the vector that is 1 at n and 0 elsewhere, the standard basis. Given a scalar sequence d=(dn)nN define, on finite linear combinations, T(nFcnun):=nFcndnun. For claims 2–4, saying that T has the indicated operator property includes the existence of its bounded extension. Then:

  1. T extends to a bounded operator on 2 if and only if d, that is supndn<+, and then T=supndn;
  2. T is compact if and only if dn0;
  3. T is Hilbert–Schmidt relative to the standard basis (Hilbert–Schmidt operator and Hilbert–Schmidt norm) if and only if ndn2<+, and then THS=(ndn2)1/2;
  4. T is trace class (Trace class operator) if and only if ndn<+, and then T1=ndn and tr(T)=ndn (Trace of a trace class operator, Trace is absolutely convergent and basis independent).

Facts & Assumptions

Given: Countable Choice, the inner-product space 2(N,F) with its explicit coordinate vectors un, and a scalar sequence d.

[A1]

The square-summable-family definition constructs 2 as an inner-product space with a,b=nanbn, a22=nan2, and nonnegative sums as suprema of finite subsums. Finite total sums have arbitrarily small tails outside finite sets (Square-summable families on an arbitrary index set and the space 2(I), Real and complex inner-product spaces and their induced length). A Hilbert basis is an orthonormal family with dense linear span (Orthonormal families, complete orthonormal systems and Hilbert bases).

[A2]

A linear map is bounded if it has a finite norm bound, and its operator norm is the unit-ball supremum (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum). Hilbert/Banach completeness means every norm-Cauchy sequence converges (Hilbert space, Banach space, Convergence of a sequence in a metric space: xkx iff d(xk,x)0 in R).

[A3]

Bounded finite-rank operators are compact, and under Countable Choice the operator-norm limit of compact operators into a Banach space is compact (Bounded finite rank operators are compact, Norm limit of compact operators is compact). Compactness gives compact closure of the image of the closed unit ball (Compact linear operator).

[A4]

For a compact operator, T is the unique compact positive square root of TT; its positive eigenvalues with multiplicity are the positive-labelled singular values (Absolute value and singular values of a compact operator, Positive square root of a compact positive operator). The adjoint is characterized by Tx,y=x,Ty (The Hilbert-space adjoint of a bounded operator).

[A5]

Relative to a supplied Hilbert basis E, Hilbert–Schmidt membership is finiteness of ETe2, with norm its square root and with basis independence (Hilbert–Schmidt operator and Hilbert–Schmidt norm, The Hilbert–Schmidt norm is basis independent).

[A6]

Trace class means finite positive singular-value sum, which is its trace norm; for a supplied Hilbert basis the absolutely convergent diagonal sum is the basis-independent trace (Trace class operator, Trace of a trace class operator, Trace is absolutely convergent and basis independent).

Verification

technique · direct
1.1

Completeness and basis. Let (a(j)) be norm-Cauchy in 2. It has a common norm bound B: its tail lies within distance 1 of one term, and the finitely many earlier norms have a maximum. Each coordinate is Cauchy since an(j)an(k)a(j)a(k)2, so [A7] defines its unique limit an, without any selection of alternative limits. For every finite F, passage to the limit in the finite sum gives nFan2B2, hence a2. Given ε>0, choose N so that a(j)a(k)2<ε/2 for j,kN. Letting k tend to infinity in each finite subsum gives nFan(j)an2ε2/4 for every finite F and jN. Taking the supremum gives a(j)a2ε/2<ε. Thus 2 is Hilbert. The un are orthonormal by their coordinates; finite truncations of any a approximate it in norm by the small-tail assertion of [A1], so their span is dense and they are a Hilbert basis.

A1A2A7
2.1

Boundedness and norm. If M:=supndn<, define Ta=(dnan)n for every a2. For every finite F, Fdnan2M2a22, so Ta2 and Ta2Ma2. Coordinatewise operations show linearity, and this is the required extension. It is unique because two bounded operators agreeing on the dense finite span have difference zero by the norm bound and approximation in step 1.1. Testing un gives Tdn for every n, hence T=M. Conversely any bounded extension bounds all dn=Tun2, so the sequence must be bounded. Equality with a supremum does not assert that the norm is attained at a unit vector.

step 1.1A1A2algebra
3.1

Compactness. If dn0, then d is bounded (a bounded tail and finitely many initial values suffice), so step 2.1 constructs T. Its truncation TN keeping coordinates 0,,N has finite rank and TTN=supn>Ndn0 by that same norm formula. Thus [A3] and step 1.1 make T compact. Conversely, if T is compact but dn↛0, some ε>0 has infinitely many indices A with dnε. For distinct m,nA, TumTun22=dm2+dn22ε2. Cover the compact closure of T of the unit ball by all balls of radius ε/2 and take a finite subcover. Each such ball contains at most one of these separated points, a contradiction. This uses no enumeration of A or additional sequential-compactness supplier.

step 1.1step 2.1A1A3algebra
3.2

Summability and Hilbert–Schmidt membership. If ndnp< for p=1 or p=2, every term is bounded by that sum and hence d is bounded. Small tails from [A1] show dn0: for any ε>0 take a finite tail-control set for εp, and every coordinate outside it has dn<ε. Past its largest index all coordinates are outside it. In particular when the square sum is finite step 2.1 supplies the bounded extension, and nTun22=ndn2. Conversely Hilbert–Schmidt membership requires that extension and the same finite sum. Formula [A5] gives the stated norm, using the actual standard basis from step 1.1 in both domain and target.

step 1.1step 2.1A1A5
4.1

Absolute value only in the compact case. Assume T is compact. Step 3.1 gives dn0. Step 2.1 constructs bounded diagonal operators with entries dn and dn, the latter denoted D. The coordinate pairing in [A1] gives Ta,b=a,(dnbn)n, so the first is T by [A4]. The operator D is compact by step 3.1, is positive since Da,a=ndnan20, is self-adjoint by the same coordinate pairing, and satisfies D2=TT. Thus D=T by [A4]. For λ>0, the equation Da=λa says an=0 wherever dnλ. There are only finitely many indices with dn=λ, because dn0. Thus that eigenspace has exactly their coordinate vectors as a finite basis. Repeated moduli contribute their full multiplicity, not multiplicity one.

step 2.1step 3.1A1A4
5.1

Trace class and trace. For compact T, step 4.1 identifies the positive singular-value multiset with the nonzero values dn, counted with their indices. The finite-subset suprema of these nonnegative sums agree: each finite collection of occurrences on either side corresponds to a finite collection on the other side with the same summands. Finite initial segments are cofinal among finite index subsets, so the sums also agree with the ordinary nonnegative series. Consequently [A6] gives trace class exactly when ndn<, with T1 equal to that sum. If instead that sum is given first, steps 3.2 and 3.1 establish boundedness and compactness before any singular data are used. Finally the standard-basis coefficients are Tun,un=dn, so their absolutely convergent sum equals tr(T) by [A6].

step 1.1step 3.1step 3.2step 4.1A1A6
6.1

Claims 1–4 follow from steps 2.1, 3.1, 3.2 and 5.1 respectively. The sequence d=0 gives zero norms and trace; repeated entries and finite support are included by the multiplicity argument. The Hilbert basis is explicit and Countable Choice is used only as licensed by the compactness and singular/trace suppliers.

step 2.1step 3.1step 3.2step 5.1

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