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TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedaudited 2026-09-22
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L two kernels give Hilbert–Schmidt operators

Statement

Assume the Axiom of Choice (The Axiom of Choice). Let (X,A,μ) and (Y,B,ν) be sigma-finite measure spaces (Finite, sigma-finite, and semifinite measures), let μ×ν be their product measure (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique), let μ×ν‾ be its completion (The completed product measure), and let k be a class in L2(μ×ν‾;C). Write L2(ν;C) and L2(μ;C) for the complex L2 spaces of the original measures, with ⟨f,g⟩=∫fg‾ linear in the first variable (The complex L2 pairing is well-defined and satisfies Cauchy–Schwarz, L2 with the integral pairing is a Hilbert space). Then:

  1. (representative of finite norm) there is a (A⊗B)-measurable representative k0 of k with ∫∣k0∣2 d(μ×ν)<+∞, and its norm equals ∥k∥2;
  2. (the kernel operator) for every f∈L2(ν;C) the section integral (Tkf)(x):=∫Yk0(x,y)f(y) dν(y) converges for μ-almost every x, agrees almost everywhere with a μ-measurable function, and its class in L2(μ;C) depends only on the classes of f and k; the resulting map Tk:L2(ν;C)→L2(μ;C) is linear and bounded with ∥Tk∥≤∥k∥2 (A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum);
  3. (exact Hilbert–Schmidt norm) every Hilbert space admits a Hilbert basis under the Axiom of Choice (Orthonormal families, complete orthonormal systems and Hilbert bases), and for every Hilbert basis E of L2(ν;C) and every Hilbert basis F of L2(μ;C), ∑e∈E∥Tke∥2=∑f∈F∥Tk∗f∥2=∥k∥22, the sums being finite-subset suprema (Square-summable families on an arbitrary index set and the space ℓ2(I)); consequently Tk is Hilbert–Schmidt relative to every such basis and ∥Tk∥HS=∥k∥2 (Hilbert–Schmidt operator and Hilbert–Schmidt norm, The Hilbert–Schmidt norm is basis independent).

The operator is interpreted through the representative k0 of claim 1, and claim 2 asserts that no other choice of representative changes the resulting classes; this is the sense in which a kernel of the completed product defines an operator on the L2 spaces of the original factors.

Facts & Assumptions

Given: The Axiom of Choice, sigma-finite (X,A,μ) and (Y,B,ν), their product ρ:=μ×ν and completed product ρ‾, and a class k∈L2(ρ‾;C).

[F2]

The product measure is the unique measure on A⊗B with (μ×ν)(A×B)=μ(A)ν(B) on measurable rectangles and is sigma-finite; the completed product is its completion, so it is a complete measure extending ρ and agrees with ρ on every (A⊗B)-measurable set (For sigma-finite factors, the product measure exists, has the rectangle formula, is sigma-finite, and is unique, The completed product measure, Assuming countable choice, every measure space has a unique complete extension to its completion).

[F3]

Tonelli applies to a nonnegative (A⊗B)-measurable function g: the section-integral function is measurable and ∫g dρ=∫X(∫Ygx dν)dμ; sections of (A⊗B)-measurable sets are measurable, ρ is countably additive and monotone, and a nonnegative measurable function has zero integral exactly when it vanishes almost everywhere (Tonelli's theorem for nonnegative measurable functions on a sigma-finite product, Every section of a product-measurable set is measurable, A nonnegative measurable function has integral 0 exactly when it vanishes almost everywhere).

[F4]

Fubini applies to every g∈L1(ρ;C): for μ-almost every x the section gx is ν-integrable, the section integrals form a μ-integrable function after zero extension, and the iterated integral equals ∫g dρ (Fubini's theorem for L^1 functions on a sigma-finite product).

[F5]

On complex L2 the pairing ⟨h1,h2⟩=∫h1h2‾ is representative-independent, linear in the first variable, conjugate-symmetric and positive definite, satisfies Cauchy–Schwarz, and complex L2 of a measure space is a Hilbert space under Countable Choice (The complex L2 pairing is well-defined and satisfies Cauchy–Schwarz, L2 with the integral pairing is a Hilbert space).

[F6]

Finite complex simple functions with finite-measure nonzero sets are dense in complex L2 (Complex finite-simple and smooth compact-support density for finite p).

[F7]

Finite complex linear combinations of finite-measure rectangle kernels are dense in L2(ρ;C) and in L2(ρ‾;C) (Product rectangle kernels are dense in product L two).

[F8]

Under Countable Choice every ρ‾-measurable real function agrees ρ‾-almost everywhere with an (A⊗B)-measurable function (A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra).

[F9]

The nonnegative integral is the supremum of the integrals of the nonnegative simple functions it dominates, and the integral of a nonnegative simple function is the corresponding finite sum of set values (The nonnegative Lebesgue integral, The integral of a nonnegative simple function).

[F10]

For a Hilbert basis G of a Hilbert space and h in it, ∥h∥2=∑g∈G∣⟨h,g⟩∣2, and the finite-subset net of partial sums converges to h (Parseval equivalences for an orthonormal family, Fourier expansion in a Hilbert space).

[F11]

For an orthonormal family (ψi) in an inner-product space and h in it, ∑i∣⟨h,ψi⟩∣2≤∥h∥2; if h lies in the span of a finite orthonormal family A, then ∑ψ∈A∣⟨h,ψ⟩∣2=∥h∥2 (the finite Parseval identity) (The Bessel inequality for an arbitrary orthonormal family, The finite Bessel inequality and best approximation by a finite orthonormal family).

[F12]

Assuming Choice, every nonempty poset in which every chain has an upper bound has a maximal element; and in a Hilbert space a proper closed subspace has a nonzero orthogonal vector, every vector decomposing as h=m+n with m in the subspace and n orthogonal to it (Zorn's lemma, Orthogonal decomposition by a closed subspace).

[F13]

Choice implies Countable Choice and Dependent Choice; Countable Choice is the hypothesis consumed by the completion-representative interface, the Hilbert structure of L2, and Parseval, and Riesz representation supplies the Hilbert adjoint Tk∗ with ⟨Tke,f⟩=⟨e,Tk∗f⟩ (AC supplies the countable and dependent choices used in Banach integration, The Axiom of Countable Choice (ACω), The Hilbert-space adjoint of a bounded operator, Hilbert-adjoint identities).

[F14]

A pointwise almost-everywhere limit of a sequence of measurable functions is measurable when represented by its limit superior (Sequential suprema, infima, limsup, liminf, and pointwise limits of measurable functions are measurable).

[F15]

The operator Tk is Hilbert–Schmidt relative to a Hilbert basis G of L2(ν;C) exactly when ∑e∈G∥Tke∥2<+∞, its Hilbert–Schmidt norm is then the square root of that sum, and the finiteness and the value are independent of G (Hilbert–Schmidt operator and Hilbert–Schmidt norm, The Hilbert–Schmidt norm is basis independent).

Proof

technique · direct

Given: Choice, sigma-finite (X,A,μ), (Y,B,ν), the product measure ρ=μ×ν with completion ρ‾, a class k∈L2(ρ‾;C), and the complex L2 spaces L2(ν;C), L2(μ;C) with their first-variable-linear pairings.

1.1F5F12F13

Hilbert bases exist. For a real or complex Hilbert space H, let P be the set of orthonormal subsets of H ordered by inclusion; P is nonempty because ∅ is orthonormal, and the union of a chain in P is orthonormal, because any two of its elements already lie in a common member of the chain, so it is an upper bound. By [F12] there is a maximal element E. If the closed linear span M of E were a proper closed subspace, then [F12] applied to some x∉M would give x=m+n with m∈M and n orthogonal to M and n≠0; then e:=n/∥n∥ would satisfy ∥e∥=1 and be orthogonal to every element of E⊆M, so E∪{e} would be an orthonormal set strictly containing E, contradicting maximality; hence M=H and E is a Hilbert basis of H. In particular L2(ν;C) and L2(μ;C), being Hilbert spaces by [F5], admit Hilbert bases.

1.2F2F8F9F13

A base-measurable representative with the same norm. Apply [F8] to the real and imaginary parts of k and replace infinite values of the resulting representatives by 0; combining them gives an (A⊗B)-measurable complex function k0 with k0=k ρ‾-almost everywhere. Then g:=∣k0∣2 is (A⊗B)-measurable and nonnegative. For every nonnegative simple (A⊗B)-measurable s≤g, the integrals against ρ and ρ‾ agree, because the two measures agree on the finitely many base-measurable level sets occurring in s by [F2] and [F9]. Conversely, let t≤g be a nonnegative ρ‾-measurable simple function and write its positive-level representation as t=∑j=1mcj1Ej, where the cj>0 and the completed-measurable sets Ej are pairwise disjoint. By the definition of the completion, write Ej=Aj∪Nj, where Aj is (A⊗B)-measurable and Nj is contained in a base-measurable ρ-null set. Since Aj⊆Ej, the sets Aj remain pairwise disjoint, and s:=∑j=1mcj1Aj is a base-measurable simple function satisfying 0≤s≤t≤g. Moreover [F2] and [F9] give ∫s dρ=∑jcjρ(Aj)=∑jcjρ‾(Ej)=∫t dρ‾. Thus every completed-simple minorant contributes the value of a base-simple minorant, while every base-simple minorant is also completed-simple; the two suprema in [F9] coincide and ∫g dρ=∫g dρ‾. Finally ∣k0∣=∣k∣ ρ‾-almost everywhere, so the norm of the class k gives ∫g dρ‾=∫∣k∣2 dρ‾<+∞. Hence k0∈L2(ρ;C) and ∥k0∥L2(ρ)=∥k∥2.

2.1step 1.2F3

Almost every section is square integrable. By [F3] applied to the nonnegative function (x,y)↦∣k0(x,y)∣2, whose integral is ∥k0∥L2(ρ)2<+∞ by [step 1.2], the function x↦∫Y∣k0(x,y)∣2 dν(y) is measurable with finite integral; hence ∥k0(x,⋅)∥L2(ν)<+∞ for μ-almost every x, and ∫X∥k0(x,⋅)∥L2(ν)2 dμ(x)=∥k0∥L2(ρ)2.

3.1step 2.1F3F5

The section integral exists almost everywhere and is bounded by the section norm. Let f∈L2(ν;C). For every x with ∥k0(x,⋅)∥L2(ν)<+∞ the section k0(x,⋅) is B-measurable by [F3] and f is ν-measurable, so y↦k0(x,y)f(y) is ν-measurable, and Cauchy–Schwarz in L2(ν) by [F5] gives ∫Y∣k0(x,y)f(y)∣ dν(y)≤∥k0(x,⋅)∥L2(ν)∥f∥L2(ν)<+∞ together with ∣(Tk0f)(x)∣=∣∫Yk0(x,y)f(y) dν(y)∣≤∥k0(x,⋅)∥L2(ν)∥f∥L2(ν). By [step 2.1] these estimates hold for μ-almost every x, which is where (Tk0f)(x) is defined.

4.1step 3.1F3F5F6F14

Measurability. If f=∑j<mcj1Bj is a finite simple function with ν(Bj)<+∞, then for every j the indicator 1Bj lies in L2(ν;C) because ν(Bj)<+∞, so [step 3.1] applied to it shows that the integral x↦∫Yk0(x,y)1Bj(y) dν(y) is defined and finite for μ-almost every x. It is also μ-measurable: the four nonnegative functions (Re⁡gj)+,(Re⁡gj)−,(Im⁡gj)+,(Im⁡gj)−, where gj(x,y):=k0(x,y)1Bj(y) is (A⊗B)-measurable, have μ-measurable section integrals by Tonelli [F3], and on the conull set where the integral of gj is finite the real and imaginary parts of that integral are differences of these measurable functions, so zero-extension over the exceptional null set makes the section-integral function measurable; a finite linear combination of these is μ-measurable, so Tk0f is μ-measurable for such f. For arbitrary f∈L2(ν;C), [F6] gives finite simple functions fj with ∥fj−f∥L2(ν)→0; by [step 3.1], ∣Tk0(fj−f)(x)∣≤∥k0(x,⋅)∥L2(ν)∥fj−f∥L2(ν)→0 for μ-almost every x, so Tk0f agrees μ-almost everywhere with the limit superior of the measurable functions Tk0fj, which is μ-measurable by [F14].

4.2step 3.1F3F5

Independence of representatives and linearity. If f=f′ ν-almost everywhere then k0(x,⋅)(f−f′)=0 ν-almost everywhere for every x, so Tk0f=Tk0f′ wherever both are defined, in particular μ-almost everywhere. If k1 is a second (A⊗B)-measurable representative of k of finite L2(ρ) norm, then ∣k0−k1∣ has ρ-integral 0, so [F3] gives ∫Y∣k0(x,y)−k1(x,y)∣ dν(y)=0 for μ-almost every x, hence the sections agree ν-almost everywhere for μ-almost every x and Tk0f=Tk1f μ-almost everywhere; linearity in f is linearity of the integral.

4.3step 1.1step 3.1F3F4F5

The orthonormal family of product kernels and the pairing identity. Fix a Hilbert basis E of L2(ν;C) and a Hilbert basis F of L2(μ;C), both of which exist by [step 1.1], and for f∈F, e∈E let ψf,e be the class in L2(ρ;C) of (x,y)↦f(x)e(y)‾; this function is (A⊗B)-measurable with ∥ψf,e∥L2(ρ)2=∥f∥L2(μ)2∥e∥L2(ν)2=1 by Tonelli [F3], and for f,f′∈F, e,e′∈E the pairing ⟨ψf,e,ψf′,e′⟩=∫Xff′‾ dμ⋅∫Yee′‾ dν‾=⟨f,f′⟩L2(μ)⟨e,e′⟩L2(ν)‾ vanishes unless f=f′ and e=e′, again by [F3]; so (ψf,e) is an orthonormal family in L2(ρ;C). Moreover ⟨Tke,f⟩L2(μ)=∫X(∫Yk0(x,y)e(y) dν(y))f(x)‾ dμ(x)=∫X×Yk0(x,y)e(y)f(x)‾ dρ(x,y)=⟨k,ψf,e⟩L2(ρ), where the middle equality is Fubini [F4] applied to the L1(ρ) function (x,y)↦k0(x,y)e(y)f(x)‾, whose absolute value has ρ-integral at most ∥k0∥L2(ρ)∥e∥L2(ν)∥f∥L2(μ) by Cauchy–Schwarz and Tonelli [F3], [F5].

5.1step 1.2step 2.1step 3.1step 4.1

Boundedness. For f∈L2(ν;C), the class of Tk0f is in L2(μ;C) and ∥Tk0f∥L2(μ)2=∫X∣(Tk0f)(x)∣2 dμ(x)≤∫X∥k0(x,⋅)∥L2(ν)2 dμ(x)⋅∥f∥L2(ν)2=∥k0∥L2(ρ)2∥f∥L2(ν)2 by [step 2.1] and [step 3.1], using measurability from [step 4.1] to integrate the squared estimate; hence Tk:=Tk0 is linear and bounded with ∥Tk∥≤∥k0∥L2(ρ)=∥k∥2 by [step 1.2].

5.2step 4.3F3F10

Rectangle kernels lie in the closed span of the family. Let A∈A, B∈B have finite measure, so 1A∈L2(μ;C) and 1B∈L2(ν;C); by [F10] the finite-subset nets ∑f∈G⟨1A,f⟩f over finite G⊆F and ∑e∈H⟨1B,e⟩e over finite H⊆E converge to 1A and 1B. For such finite G,H the function uG(x)vH(y)‾ with uG:=∑f∈G⟨1A,f⟩f and vH:=∑e∈H⟨1B,e⟩e is a finite linear combination of the functions f(x)e(y)‾, hence its class lies in the span of the family (ψf,e); and ∥uv‾−uGvH‾∥L2(ρ)≤∥u∥L2(μ)∥v−vH∥L2(ν)+∥u−uG∥L2(μ)∥vH∥L2(ν)→0 by Tonelli [F3] and convergence of the two nets, so the rectangle kernel 1A(x)1B(y)=1A(x)1B(y)‾ lies in the closed span of (ψf,e).

6.1step 1.2step 5.2F7

The kernel lies in that closed span. By [step 5.2] and [F7] every class of L2(ρ;C) — in particular k0, whose L2(ρ) class exists by [step 1.2] — lies in the closed span of the orthonormal family (ψf,e).

7.1step 1.2step 6.1F11

Exact norm of the family expansion. Bessel's inequality [F11] applied to k0 and the orthonormal family (ψf,e) gives ∑f,e∣⟨k0,ψf,e⟩∣2≤∥k0∥L2(ρ)2. For the reverse inequality fix a real ε>0 and, by [step 6.1], a vector h in the span of finitely many ψf,e with ∥h−k0∥L2(ρ)<ε; if ∥k0∥L2(ρ)=0 then k0 is the zero class and both sides vanish, and otherwise h≠0 for small ε and the finite Parseval identity and Cauchy–Schwarz on the finitely many coefficients give ∑f,e∣⟨k0,ψf,e⟩∣2≥∣⟨k0,h⟩∣2/∥h∥L2(ρ)2≥∥k0∥L2(ρ)2(∥k0∥L2(ρ)−ε)2/(∥k0∥L2(ρ)+ε)2, where the last bound uses ∣⟨k0,h⟩∣≥∥k0∥2−∥k0∥ε and ∥h∥≤∥k0∥+ε and tends to ∥k0∥L2(ρ)2 as ε→0; hence ∑f,e∣⟨k0,ψf,e⟩∣2=∥k0∥L2(ρ)2=∥k∥22 by [step 1.2].

8.1step 5.1step 4.3step 7.1F10F13

Transfer to the basis sums. For each e∈E the vector Tke lies in L2(μ;C) by [step 5.1], so [F10] applied with the Hilbert basis F gives ∥Tke∥L2(μ)2=∑f∈F∣⟨Tke,f⟩∣2, and [step 4.3] identifies each summand with ∣⟨k0,ψf,e⟩∣2; since every finite subset of E×F is contained in a rectangle and all terms are nonnegative, taking suprema over finite subsets gives ∑e∈E∥Tke∥2=∑f,e∣⟨k0,ψf,e⟩∣2=∥k∥22 by [step 7.1]. The same computation with the roles of E and F interchanged, using the adjoint identity ⟨Tke,f⟩=⟨e,Tk∗f⟩ of [F13] and Parseval with respect to E applied to the vectors Tk∗f, gives ∑f∈F∥Tk∗f∥2=∥k∥22 as well.

9.1step 1.1step 4.2step 5.1step 8.1F15∎

Conclusion. The bases E and F in [step 8.1] were arbitrary Hilbert bases of L2(ν;C) and L2(μ;C), and by [step 1.1] such bases exist; by [step 8.1] every one of them realizes the value ∥k∥22, so by [F15] the operator Tk is Hilbert–Schmidt with ∥Tk∥HS=∥k∥2, the operator itself being independent of the representative k0 by [step 4.2] and bounded with ∥Tk∥≤∥k∥2 by [step 5.1]. This proves all three claims.

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