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Regular polynomial field functional algebra

1 · Prerequisites

2 · Summary

This mathematical page defines regular polynomial field functionals by finite symmetric smooth compactly supported kernels, proves tensor-test density and coefficient uniqueness, and supplies the diagonal delta distribution used to state the local-functional boundary. It develops the regular distributional Wick contraction product and normal-ordering isomorphism. It defines formal time-ordered coefficients and proves coefficientwise causal factorization conditional on the inspected free scalar two-point, vacuum covariance, and causal-commutator interfaces. A separate bounded-operator result gives norm-convergent Dyson evolution under explicit strong-continuity and uniform-boundedness hypotheses. Local diagonal functionals and interacting continuum limits are outside the regular class. Draft supplier interfaces remain conditional; authoring readiness is not independent approval.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicableverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)Open item page →

Regular polynomial field functional algebra

Definition

For a continuous compactly supported u:Rm→C, write u=uR+iuI for its real-coordinate decomposition and define its complex Riemann integral by ∫u:=∫uR+i∫uI, where the real integrals are over a closed rectangle containing the support. Equivalently, use any sufficiently large cube [−R,R]m; the value stabilizes as R increases because u vanishes outside its compact support. Each real component integral exists by Every continuous function on a closed nondegenerate rectangle in Rm is Riemann integrable. The complex modulus is ∣a+ib∣=(a2+b2)1/2; the triangle inequality for Riemann sums gives ∣∫u∣≤∫∣u∣. Complex linearity and product-rectangle Fubini follow by applying the real integral rules to the real and imaginary components; in particular, use Riemann--Fubini on product rectangles, with lower and upper section integrals and content-zero exceptional sections componentwise. Differentiation under a compact parameter integral likewise means applying Leibniz's rule on a compact rectangle: an interior parameter derivative with a continuous extension may be passed through a Riemann integral to both real components. These conventions apply to every integral below.

Let d≥1, X=Rd, and n≥1. Write D(Xn)=Cc∞(Xn;C) for the complex test-function space of smooth compactly supported functions (Test function space d of an open set), with its LF topology (Test function topology). The convergence criterion used below is that convergent test sequences have one common compact support and converge uniformly with every derivative (Sequential convergence in test function space). Here C∞ means every coordinate derivative exists and is continuous (Ck maps and multi-index derivative notation in Euclidean space). All integrals are compact Riemann integrals: each integrand is continuous with compact support, so restrict it to a compact rectangle and apply Every continuous function on a closed nondegenerate rectangle in Rm is Riemann integrable. Let Dsym(Xn) be the subspace of kernels invariant under every permutation of their n X-variables. Fields are real smooth configurations ϕ∈C∞(X;R). For an integer N≥0 and a finite family f0∈C, fn∈Dsym(Xn) for 1≤n≤N, define Ff(ϕ)=f0+∑n=1N∫Xnfn(x1,…,xn)∏j=1nϕ(xj) dx1⋯dxn. The pairing is complex-bilinear, with no conjugation on the kernel or field. An element of Preg(X) is this finite symmetric coefficient family, evaluated on fields by Ff. Pointwise sums, scalar multiples, and products again have finite symmetric compactly supported coefficient families: for products, expand the two finite sums and symmetrize each tensor product fm⊗gn. Thus these elements form an algebra; the product-integral identity follows from Riemann Fubini on a rectangle containing the compact supports (Riemann--Fubini on product rectangles, with lower and upper section integrals and content-zero exceptional sections).

For k=0, set Ff(0)(ϕ)=Ff(ϕ). For 1≤k≤N, the k-th functional derivative kernel assigned to this coefficient family is Ff(k)(ϕ)(x1,…,xk)=∑n=kNn!(n−k)!∫Xn−kfn(x1,…,xn)∏j=k+1nϕ(xj) dxk+1⋯dxn. For k>N it is zero. Each displayed kernel is smooth, symmetric and compactly supported in its k remaining variables: compactness follows by projection of the finite union of coefficient-kernel supports, and derivatives pass through the finite-compact integrals by Leibniz's rule on a compact rectangle: an interior parameter derivative with a continuous extension may be passed through a Riemann integral. In the term n=k, the empty integral and empty product mean simply fk(x1,…,xk).

For real smooth directions h1,…,hk, the pairing of Ff(k)(ϕ) with h1⊗⋯⊗hk is the coefficient of t1⋯tk in Ff(ϕ+∑j=1ktjhj). For each degree-n term, expanding the finite product assigns the k distinct directions to the n factors in n!/(n−k)! ways; symmetry of fn makes the corresponding integrals equal. This verifies the displayed kernel's functional-derivative meaning by a finite polynomial calculation.

The scope is exactly smooth compact coefficient kernels. A local functional whose higher derivative kernels are distributions on a thin diagonal is not included merely because its field expression is polynomial.

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The diagonal delta is a distribution supported on the diagonal

Statement

Let X=R4 and let ΔX={(x,y)∈X×X:x=y}. For a continuous compactly supported u:X→C, write u=uR+iuI and define ∫Xu as the stabilized componentwise real Riemann integral over cubes [−R,R]4 containing supp⁡u. The real component integrals exist by Every continuous function on a closed nondegenerate rectangle in Rm is Riemann integrable; additivity of real Riemann sums shows the value is independent of the sufficiently large cube. Use ∣a+ib∣=(a2+b2)1/2 for the complex modulus. The Riemann-sum triangle inequality gives ∣∫Xu∣≤∫X∣u∣. For Ψ∈D(X×X), define ⟨δΔX,Ψ⟩=∫XΨ(x,x) d4x. Then δΔX∈D′(X×X) is a continuous complex-linear distribution with support exactly ΔX, and it is symmetric under exchanging x and y. No nonzero smooth function on X×X is supported on ΔX.

Facts & Assumptions

Given: The test-function and distribution conventions on Euclidean open sets.

[F1]

D(Ω) consists of smooth compactly supported complex functions with the LF test-function topology, and D′(Ω) is its continuous complex-linear dual with bilinear pairing (Test function space d of an open set, Test function topology, Distribution).

[F2]

Smoothness is defined by coordinate derivatives, and composition with a smooth linear map obeys the total-derivative chain rule (Ck maps and multi-index derivative notation in Euclidean space, The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a)).

[F3]

A continuous function on a compact rectangle is Riemann integrable (Every continuous function on a closed nondegenerate rectangle in Rm is Riemann integrable).

[F4]

A compact subset of an open set has a smooth compactly supported cutoff equal to one near it (Test function cutoffs and euclidean localization).

[F5]

The support of a distribution is the complement of its largest open vanishing set (Support of a distribution).

Proof

Given: [F1]–[F5].

1.1F1F2F3construct

Define dX:X→X×X by dX(x)=(x,x). For Ψ∈D(X×X), the diagonal restriction x↦Ψ(dX(x)) has first derivatives ∂xjΨ(x,x)+∂yjΨ(x,x) by [F2]. Iterating this formula on the smooth partial derivatives of Ψ shows the restriction has continuous derivatives of every order, so it is smooth. Its support is contained in the first-coordinate projection of supp⁡Ψ, which is compact as a continuous image of a compact set. The componentwise convention in the Statement and [F3] make the displayed integral well defined.

2.1F1F3step 1.1algebra

The assignment is complex-linear. Fix a nonempty compact K⊆X×X and a compact rectangle R⊆X containing its first-coordinate projection. For every Ψ supported in K, ∣⟨δΔX,Ψ⟩∣≤vol⁡(R)sup⁡(x,y)∈K∣Ψ(x,y)∣. Thus the seminorm q(Ψ)=∣⟨δΔX,Ψ⟩∣ is continuous on every fixed-support test space. By the LF topology definition in [F1], such seminorms are continuous on D(X×X). Therefore δΔX∈D′(X×X).

3.1F5step 2.1

If an open set U⊆X×X is disjoint from ΔX, then every test supported in U vanishes at every (x,x). Its pairing with δΔX is zero, so [F5] gives supp⁡δΔX⊆ΔX.

4.1F3F4F5step 1.1step 2.1step 3.1

Fix (x0,x0)∈ΔX and any open neighborhood U of this point. There is a ball B about x0 with B‾×B‾⊆U. By [F4] choose h∈D(X) with h≥0, h(x0)=1, and support in B. By continuity choose a closed nondegenerate cube Q inside B on which h≥1/2, and choose a sufficiently large cube R containing supp⁡h and Q with the faces of Q among its grid cuts. The lower Darboux sum of the nonnegative function h2 on this grid is at least vol⁡(Q)/4>0, so its real Riemann integral is positive. The product test Ψ(x,y)=h(x)h(y) is supported in U, and ⟨δΔX,Ψ⟩=∫Xh(x)2 d4x>0. Thus δΔX does not vanish on any neighborhood of (x0,x0), so (x0,x0)∈supp⁡δΔX by [F5]. Since the point was arbitrary, ΔX⊆supp⁡δΔX. Together with step 3.1 this gives equality.

5.1F2step 4.1algebra∎

For every Ψ, the diagonal restrictions of Ψ(x,y) and Ψ(y,x) coincide, so the distribution is symmetric. The diagonal has empty interior: every product neighborhood of a point (x,x) contains (x,y) with y≠x. If a smooth function supported on the diagonal were nonzero at a point, continuity would make it nonzero on an open neighborhood, contradicting empty interior. Therefore every such smooth function is zero.

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Bounded Dyson convergence and temporal factorization

Statement

Assume Countable Choice. Let H be a complex Hilbert space (Hilbert space), I=[a,b] with a≤b, and V:I→B(H) a strongly continuous family of self-adjoint bounded operators (self-adjoint means V(t)=V(t)∗, using the Hilbert adjoint of The Hilbert-space adjoint of a bounded operator) with M:=sup⁡t∈I∥V(t)∥<∞. Strong continuity means that t↦V(t)ψ is norm-continuous for every ψ∈H. Here a strongly continuous solution U:I2→B(H) means that, for each fixed s∈I and ψ∈H, t↦U(t,s)ψ is norm-continuous. For a continuous h:[s,t]→H, the vector-valued Riemann integral ∫sth(r) dr means the common norm limit of tagged partition sums as their mesh tends to zero; it is oriented by ∫st=−∫ts and is zero when s=t. The construction in step 1.1 proves existence and independence of tags for every integrand used below. Define U0(t,s)=IH and recursively Un+1(t,s)ψ=−i∫stV(r)Un(r,s)ψ dr,a≤s,t≤b, where V(r)Un(r,s)ψ is the continuous vector-valued integrand. Then ∥U0(t,s)∥≤1,∥Un(t,s)∥≤Mn∣t−s∣nn!(n≥1). For every complex z, Uz(t,s)=∑n≥0znUn(t,s) converges in operator norm, uniformly on I2, and is the unique strongly continuous solution of Uz(t,s)=IH−iz∫stV(r)Uz(r,s) dr. For real z, Uz(t,s) is unitary (that is, a surjective linear isometry of H) and obeys Uz(t,r)Uz(r,s)=Uz(t,s). If V2 vanishes outside [a,c] and V1 vanishes outside [d,b], where c<d, then UzV1+V2(b,a)=UzV1(b,a)UzV2(b,a), with the later-time factor on the left, provided a≤c<d≤b. This identity also holds coefficientwise as a formal power series in z.

Facts & Assumptions

Given: [A1]–[A3] and the operator definitions.

[A1]

Assume Countable Choice (The Axiom of Countable Choice (ACω)), as required for the Hilbert-adjoint definition used here.

[F1]

A complex Hilbert space is complete in its norm (Hilbert space); B(H) is the space of bounded linear operators and ∥⋅∥ is their operator norm (The spaces (\mathcal B(X,Y)) and (\mathcal B(X)) of bounded linear operators, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[F2]

The Hilbert adjoint is characterized by the inner-product identity, and for a bounded operator self-adjoint means equality with that adjoint (The Hilbert-space adjoint of a bounded operator).

[A2]

V(t) is strongly continuous, self-adjoint at each t, and uniformly bounded by M on I. Strong continuity means that t↦V(t)ψ is norm-continuous for every ψ.

[A3]

For the factorization clause, V1,V2 satisfy the same hypotheses and are supported in the strictly ordered time intervals [d,b] and [a,c], respectively, with c<d.

[F3]

A continuous real-valued function on a nonempty compact metric space is bounded (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).

[F4]

The complex exponential is given by its power series, and ∑n≥0zn/n! converges absolutely for every z∈C (The complex exponential by its power series, The complex exponential series converges absolutely for every complex argument).

[F7]

A continuous map from a compact metric space to any metric space is uniformly continuous. Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous

Proof

Given: [A1]–[A3] and [F1]–[F7].

1.1A2F1F3F5F7construct

If a=b, every integral is zero, U0=I, and Un=0 for n≥1; all evolution and unitarity claims follow, while no c<d lies in I, so the separated-support clause has no instance. Assume henceforth a<b. Suppose Un(r,s)ψ is continuous in r. For fixed r0, ∥V(r)Un(r,s)ψ−V(r0)Un(r0,s)ψ∥≤M∥Un(r,s)ψ−Un(r0,s)ψ∥+∥(V(r)−V(r0))Un(r0,s)ψ∥, which tends to zero by strong continuity of V. Thus the recursive integrand is continuous. Apply [F7] to I=[a,b] and the Hilbert space with their norm metrics; the estimate gives uniform continuity of the integrand. On any interval with endpoints s,t, the midpoint tagged sums of its equal-mesh partitions are Cauchy by uniform continuity, so completeness of H gives a norm limit. The same modulus-of-continuity estimate shows that every tagged sum of sufficiently small mesh approaches this limit, proving existence and tag/partition independence of the Riemann integral defined in the Statement; reverse its sign when t<s. The tagged-sum triangle inequality and scalar Riemann-sum limit [F5] give ∥∫f∥≤∫∥f∥. The integral as a function of its upper endpoint is continuous, since its increment has norm at most the interval length times the supremum of the continuous integrand; this supremum is finite by [F3]. This proves strong continuity of Un+1(⋅,s)ψ and closes the induction.

2.1step 1.1F1A2F5F6algebra

The identity operator has norm at most one, including when H={0}. The integral estimate then gives inductively ∥Un+1(t,s)∥≤∫min⁡(s,t)max⁡(s,t)MMn∣r−s∣nn! dr=Mn+1∣t−s∣n+1(n+1)!. This proves the factorial bound for both orientations of the integral.

3.1A2F4step 1.1step 2.1algebra

The bound in step 2.1 makes ∑znUn(t,s) absolutely and uniformly convergent in operator norm on I2, with total norm at most ∑n≥0(∣z∣M(b−a))n/n!=e∣z∣M(b−a) by [F4]. The recursion and this uniform bound permit termwise integration on each vector: the norm of the integral of a uniform tail is at most (b−a) times its supremum norm, which tends to zero. This gives the displayed integral equation.

4.1step 3.1A2F3F5F6algebra

If X(t,s) and Y(t,s) are two strongly continuous solutions, then for fixed ψ, D(t)=∥(X(t,s)−Y(t,s))ψ∥ is bounded on I by [F3] and is Riemann integrable by [F5]. It satisfies D(t)≤∣z∣M∫min⁡(s,t)max⁡(s,t)D(r) dr. Repeated substitution gives an n-fold integral over the ordered simplex between s and t; induction using [F5] and the polynomial derivative rule [F6] evaluates its volume as ∣t−s∣n/n!, so D(t)≤Cψ(∣z∣M∣t−s∣)nn! with Cψ=sup⁡r∈ID(r)<∞. The right side tends to zero, so the solution is unique. To prove composition, split the equation for Uz(t,s) at r: for t≥r, it reads Uz(t,s)=Uz(r,s)−iz∫rtV(q)Uz(q,s) dq. Multiplying the equation for Uz(t,r) on the right by Uz(r,s) shows Uz(t,r)Uz(r,s) solves this same initial-value equation and has the same value at t=r. The uniqueness estimate just proved, with initial time r, gives equality; the reversed orientation proves it for t<r.

4.2A1F1F2A2F5step 1.1step 3.1algebra

For a continuous vector-valued integrand, the average over a signed interval of length h converges in norm to its value at the base point: the error is bounded by the supremum of its variation on that interval. Taking difference quotients in the integral equation therefore gives ∂tUz(t,s)ψ=−izV(t)Uz(t,s)ψ, with relative one-sided derivatives at the endpoints. If u(t)=Uz(t,s)ψ, then ∥u(t+h)∥2−∥u(t)∥2h=2Re⁡⟨u(t),u(t+h)−u(t)h⟩+∥u(t+h)−u(t)∥2h. The second term tends to zero and the first tends to 2Re⁡⟨u(t),−izV(t)u(t)⟩=0 for real z, because self-adjointness makes ⟨u,V(t)u⟩ real. By the continuity estimate in step 1.1, the scalar function t↦∥u(t)∥2 has continuous derivative zero. The real fundamental theorem [F5] on each subinterval therefore makes ∥u(t)∥2 constant, so Uz(t,s) is an isometry.

5.1step 4.1step 4.2algebra

By the composition law in step 4.1, Uz(t,s)Uz(s,t)=Uz(t,t)=IH and Uz(s,t)Uz(t,s)=Uz(s,s)=IH. Hence Uz(t,s) is surjective. Step 4.2 shows that it is an isometry when z is real. By the unitary convention stated above, Uz(t,s) is unitary.

6.1A2A3F4step 2.1step 3.1step 4.1algebra∎

Let Y(t)=UzV1(t,a)UzV2(t,a). On [a,c], UzV1(t,a)=I, so the integral equation for UzV2 is the equation for Y with generator V1+V2. On [c,d], both generators vanish on the open gap and, by strong continuity, at its endpoints; thus Y(t)=UzV2(c,a) is constant and the same equation continues across the gap. On [d,b], UzV2(t,a)=UzV2(c,a), while the integral equation for UzV1 reduces to UzV1(t,a)=I−iz∫dtV1(q)UzV1(q,a) dq. Right multiplication by the fixed bounded operator UzV2(c,a) commutes with the vector integral by its tagged-sum definition, so Y satisfies the equation for V1+V2 on this interval too. The three interval equations agree at their endpoints and combine to the full integral equation on I; uniqueness from step 4.1 gives the stated factorization at b. Both sides have operator-norm-convergent power series for every z. Their equality for real z forces equality of coefficients: a first differing coefficient would remain nonzero after division by its least power of z and passage to z→0.

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Tensor-product tests are dense in smooth compact kernel topology

Statement

Let d,n≥1, X=Rd, and give D(Xn)=Cc∞(Xn;C) its LF test-function topology. The finite linear span of elementary product tests (x1,…,xn)⟼∏j=1ngj(xj),gj∈D(X), is dense. More precisely, for each Φ∈D(Xn), there is a sequence of such finite sums whose supports lie in one fixed compact product and whose derivatives of every multi-index converge uniformly to those of Φ. Symmetrized finite sums are dense in Dsym(Xn). Consequently the symmetric-kernel representation in Regular polynomial field functional algebra is unique: if a finite symmetric-kernel polynomial vanishes on every real smooth field, every coefficient kernel vanishes.

Facts & Assumptions

Given: Integers d,n≥1, the test-function topology, and the coefficient presentation of a regular polynomial functional.

[F1]

A test is a smooth complex function with compact support (Test function space d of an open set); convergence in the LF topology is equivalent to one common compact support and uniform convergence of every derivative (Test function topology, Sequential convergence in test function space).

[F2]

Multi-index derivatives and C∞ regularity are defined coordinatewise (Ck maps and multi-index derivative notation in Euclidean space).

[F3]

A compact subset of an open set admits a smooth compact cutoff equal to one near it (Test function cutoffs and euclidean localization).

[F4]
[F5]

Fejer means of a continuous one-periodic function converge uniformly (Fejer means converge uniformly for continuous periodic functions).

[F6]

Write each complex number as a+ib with real coordinates and use a+ib‾=a−ib and ∣a+ib∣=(a2+b2)1/2 for conjugation and modulus. The complex exponential has derivative exp⁡′=exp⁡, obeys the addition law, and satisfies exp⁡(iπ)=−1; hence the integer characters used below are smooth and periodic (The complex exponential by its power series, The complex exponential is entire and its complex derivative is itself, exp⁡(z+w)=exp⁡z exp⁡w, and the complex exponential extends the real exponential, exp⁡(x+iy)=ex(cos⁡y+isin⁡y), ∣exp⁡(x+iy)∣=ex, and eiπ+1=0).

[F7]

Continuous functions on compact rectangles are Riemann integrable (Every continuous function on a closed nondegenerate rectangle in Rm is Riemann integrable); iterated integrals in coordinate rectangles agree with the multiple integral, and the integral is linear and satisfies the absolute-value bound (Riemann--Fubini on product rectangles, with lower and upper section integrals and content-zero exceptional sections, Linearity, monotonicity, the absolute-value estimate and coordinate-slice additivity for the Riemann integral in Rm). Complex-valued integrals here are the componentwise integrals of their real and imaginary parts, using the convention in [F9]; all the cited real integration rules apply componentwise.

[F9]

The regular polynomial is the finite coefficient map in Regular polynomial field functional algebra; its kernels are symmetric, its field domain is all C∞(X;R), and its compactly supported complex Riemann integrals are defined componentwise by real and imaginary parts over a containing cube.

Proof

Given: [F1]–[F9].

1.1givenF1F2F3construct

Fix Φ∈D(Xn) and regard Xn as RD, D=dn. The coordinate projections of supp⁡Φ lie in a compact K⊂X. By [F3] choose χ∈D(X) equal to one near K. Choose L>0 so large that every coordinate of supp⁡χ lies strictly inside (−L/2,L/2). Extend Φ by zero and then L-periodically in each of the D coordinates; because its support is interior to the period cube, the resulting function is smooth on the compact D-torus.

1.2F6F7F8algebraalgebra

For k∈ZD, put ek(x)=exp⁡(2πik⋅x/L), Q=[−L/2,L/2]D, and Φ^(k)=L−D∫QΦ(x)ek(x)‾ dx. These are Riemann integrals by [F7]. Periodic integration by parts in one coordinate has no boundary term: the endpoint product agrees by periodicity, and [F8] converts the integral of a derivative to that endpoint difference. Writing Δ=∑j=1D∂j2, applying this identity to (1−Δ)qΦ, and using the character derivative from [F6], gives (1−Δ)qΦ^(k)=(1+(2π/L)2∣k∣2)qΦ^(k). The left side is bounded by the volume of Q times the supremum of the continuous function (1−Δ)qΦ, so ∣Φ^(k)∣≤CΦ,q(1+∣k∣2)−q. For integer m≥1, the number of lattice points in m≤∣k∣∞<m+1 is at most (2m+3)D−(2m−1)D≤CD(m+1)D−1, by expanding the two powers; the shell ∣k∣∞<1 is finite. Thus, for every multi-index α, choosing q with 2q>D+∣α∣ makes ∑k∣k∣∣α∣∣Φ^(k)∣ finite. The Fourier series and each derivative series therefore converge absolutely and uniformly on the torus. Integrating each uniformly convergent derivative series along a coordinate segment and using [F8] shows it is the corresponding derivative of the uniformly convergent Fourier sum; iterating over coordinates gives the same assertion for every multi-index.

2.1F4F5F6F7F8step 1.2

The uniform sum has the same Fourier coefficients as Φ, since uniform convergence allows integration term by term and distinct integer characters have zero cross integral by [F6]–[F8]. Their difference is a continuous D-periodic function with every multi-index Fourier coefficient zero. For D=1, all its Fejer means are finite sums of those zero coefficients, so [F5] makes the function zero. For D>1, fix the first frequency k1 and integrate in the first coordinate to obtain a continuous (D−1)-periodic coefficient function; continuity follows from [F4] and the compact integral bound [F7]. Its remaining Fourier coefficients are the corresponding coefficients of the original difference by [F7], so induction makes each such coefficient function zero. Applying the one-dimensional case to each fixed choice of the remaining coordinates shows the original difference is zero. Hence the Fourier series sums to Φ, with all derivatives uniformly.

3.1F1F3F8step 2.1

Let SMΦ be the finite Fourier sum over ∣k∣∞≤M. On RD, put PM(x1,…,xn)=(∏j=1nχ(xj))SMΦ(x1,…,xn). Each Fourier character factors over the n blocks xj∈Rd; after multiplication by the product cutoff, each term is an elementary tensor of tests in D(X). Also (∏jχ(xj))Φ=Φ, since every coordinate projection of its support lies in K. The product rule [F8] and the derivative convergence from step 2.1 show PM→Φ uniformly with every derivative, with all supports in the fixed compact (supp⁡χ)n. By [F1] this is convergence in the LF topology. Applying the finite symmetrization operator preserves convergence and turns the approximants into symmetric finite tensor sums whenever Φ is symmetric.

4.1F1F7F9step 3.1algebra∎

Suppose ∑n=0N∫fn(x1,…,xn)∏jϕ(xj) dx=0 for every real smooth ϕ, with symmetric test kernels fn as in [F9]. Replacing ϕ by tϕ makes a scalar polynomial in t vanish for every real t, so each homogeneous term ∫fnϕ⊗n is zero for every ϕ. For fixed real test functions h1,…,hn, substitute ϕ=∑jtjhj. The coefficient of t1⋯tn is n!∫fn(x1,…,xn)∏jhj(xj) dx, by symmetry, and must vanish. Complex product tests are finite linear combinations of real product tests by separating real and imaginary parts. Step 3.1 makes their span dense, so choose approximants ψM→fn‾ with support in a fixed compact rectangle C. The componentwise convention [F7, F9] and the Riemann-sum triangle inequality give ∣∫fn(ψM−fn‾)∣≤vol⁡(C)∥fn∥∞∥ψM−fn‾∥∞⟶0. Thus ∫∣fn∣2=0. If fn were nonzero at some point, its support constraint and continuity give a closed nondegenerate rectangle Q⊂int⁡C and c>0 with ∣fn∣≥c on Q. Insert the faces of Q into a Darboux grid of C. Since ∣fn∣2≥0 everywhere and ∣fn∣2≥c2 on Q, the lower Darboux sum is at least c2vol⁡(Q)>0, so the real Riemann integral is positive, a contradiction. Hence fn=0. The constant term is zero by taking ϕ=0. This proves uniqueness and the well-definedness claim used by the definition.

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Regular Wick-star contractions are well defined and associative

Statement

Let X=Rd, d≥1, and let W∈D′(X×X) be any continuous complex bidistribution. For a real formal parameter η and F,G∈Preg(X), define F⋆WG=∑k≥0ηkk!⟨W⊗k,F(k)(ϕ)⊗G(k)(ϕ)⟩. The pairing is over k independent pairs of variables; W⊗k is formed by iterated distributional tensor products, not by multiplying distributions at coincident points. The sum is finite because the inputs are polynomial. It defines an element of Preg(X)[η], and ⋆W is associative. Here complex conjugation is a+ib‾=a−ib for a,b∈R. If W is Hermitian in the sense ⟨W,g‾⊗f‾⟩‾=⟨W,f⊗g⟩, then (F⋆WG)∗=G∗⋆WF∗, where F∗(ϕ)=F(ϕ)‾. For ℓf(ϕ)=∫Xf(x)ϕ(x) dx, [ℓf,ℓg]⋆W=η(W(f,g)−W(g,f)),W(f,g):=⟨W,f⊗g⟩.

Facts & Assumptions

Given: [A1], the regular polynomial class, the continuous bidistribution W, and the supplier statements below.

[A1]

The formal parameter η is fixed by the involution and has no analytic or physical interpretation in this mathematical item.

[F1]

A regular polynomial is a finite sum with unique symmetric test kernels; its k-th derivative is the smooth compact kernel displayed in the definition, and complex Riemann integrals of its compact kernels are evaluated componentwise as defined there (Regular polynomial field functional algebra, Tensor-product tests are dense in smooth compact kernel topology).

[F2]

Tensor products of distributions exist as continuous distributions; their iterated pairings associate and agree on product tests (Tensor product distributions and iterated pairings).

[F3]

Pairing a distribution against a smooth parameter family with locally common compact support produces a smooth function, and derivatives pass through the pairing (Distribution pairing with smooth parameter families).

Proof

Given: [A1] and [F1]–[F3].

1.1A1F1F2F3construct

For each k, [F2] constructs W⊗k on the independent variable pairs. The kernels F(k)(ϕ) and G(k)(ϕ) in [F1] are smooth and compactly supported, so the displayed pairing is defined. In each homogeneous term of F and G, pairing the k contracted variables leaves a smooth compact kernel in the remaining variables: the support lies in the projection of the original compact coefficient supports, and [F3] passes every remaining-variable derivative through the pairing. The raw remaining-variable kernel need not be symmetric under permutations exchanging a variable from the F block with one from the G block. For each output degree r, replace it by its full symmetrization Sym⁡rh=1r!∑π∈Srh(xπ(1),…,xπ(r)). This preserves smoothness and compact support, and its field evaluation is unchanged because both the product ∏j=1rϕ(xj) and the product integration measure are invariant under permutations. The resulting symmetric coefficient therefore represents each summand in Preg(X).

2.1step 1.1F1algebra

If F and G have degrees m and n, then F(k)=0 for k>m and G(k)=0 for k>n. Hence only 0≤k≤min⁡(m,n) contribute; the sum is finite, independent of a coefficient presentation by [F1], and belongs to Preg(X)[η].

2.2F1F2step 1.1algebra

For f∈D(X), define the auxiliary formal generator by Ef(s,ϕ):=∑m≥0smℓf(ϕ)m/m! in the formal power-series ring; it is not asserted to be an element of Preg(X). For a zero-constant formal series Z, exp⁡Z means ∑r≥0Zr/r!, with all equalities interpreted coefficientwise. The k-th derivative of Ef in ϕ is skf⊗kEf. Substitution into the finite coefficient formula gives, coefficientwise in s,t,η, Ef(s)⋆WEg(t)=exp⁡ ⁣(ηstW(f,g))Esf+tg.

3.1step 2.2algebra

Applying step 2.2 twice, both bracketings of three generators equal exp⁡ ⁣(η(stW(f,g)+srW(f,h)+trW(g,h)))Esf+tg+rh, by bilinearity of W. Comparing coefficients of s,t,r proves associativity for powers of linear functionals. For distinct tests in one input, replace f by ∑j=1msjfj in the same coefficientwise identity; its coefficient of s1⋯sm is the symmetrized product ℓf1⋯ℓfm. Make this substitution independently in each of the three inputs. Thus the associator vanishes for every symmetrized elementary tensor-product coefficient kernel and for their finite sums.

4.1F1F2F3step 3.1algebra

By [F1], symmetrized finite product-test kernels are dense in every coefficient test space. Each fixed coefficient of the associator is a finite sum of compositions of continuous tensor-distribution pairings from [F2] and smooth parameter pairings from [F3], hence is continuous in the coefficient kernels. Passing to the limits of the product-test approximants from the preceding coefficient comparison proves associativity for arbitrary F,G,H∈Preg(X).

5.1F1F2step 2.1algebra∎

For linear functionals only k=0,1 occur. The k=0 term cancels in the commutator, while the k=1 terms are ηW(f,g) and ηW(g,f); this gives the displayed commutator. If W is Hermitian, conjugating each finite contraction reverses its two variable groups and gives (F⋆WG)∗=G∗⋆WF∗.

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Regular normal-ordering change is an exact star isomorphism

Statement

Let W∈D′(X×X), X=Rd, and let K∈D′(X×X) be symmetric under interchange of its variables. Define ΓKF(ϕ)=⟨K,F(2)(ϕ)⟩,αK=exp⁡ ⁣(η2ΓK)=∑j≥0(η/2)jj!ΓKj on Preg(X)[η]. Each sum is finite on each polynomial because ΓK lowers degree by two. Then αK is invertible with inverse α−K, and αK(F⋆WG)=αK(F)⋆W+KαK(G) for all regular polynomial functionals F,G. Thus the change from W to W+K is an exact algebra isomorphism on this regular class.

Facts & Assumptions

Given: [F1]–[F4], a symmetric continuous bidistribution K, and the formal-parameter convention of [A1].

[A1]

The parameter η is formal and fixed by complex conjugation.

[F1]

The regular coefficient kernels and their functional derivatives are smooth and compactly supported; compactly supported complex Riemann integrals are evaluated componentwise as defined in Regular polynomial field functional algebra, and the coefficient representation is unique (Tensor-product tests are dense in smooth compact kernel topology).

[F2]

Tensor products of distributions pair independently and iterated pairings associate (Tensor product distributions and iterated pairings).

[F3]

Distributional pairings with smooth common-compact-support parameter families are smooth, with derivatives passed through the pairing (Distribution pairing with smooth parameter families).

[F4]

For every continuous bidistribution W, the regular contraction product ⋆W is well defined and associative, with finite sums (Regular Wick-star contractions are well defined and associative).

Proof

Given: [A1]–[F4], W, and symmetric K.

1.1A1F1F2F3construct

For a homogeneous coefficient of degree m, one application of ΓK contracts two derivative variables against K, leaving a smooth compact kernel by [F1]–[F3]. It lowers the polynomial degree by two; therefore ΓKjF=0 when 2j>deg⁡F, so αKF is a finite sum in Preg(X)[η]. The same finite argument defines α−K.

2.1A1F1step 1.1algebra

For this computation set Ef(s,ϕ):=∑m≥0smℓf(ϕ)m/m! as a formal generating series. Each second derivative contracts to K(f,f)Ef. Coefficientwise this gives αKEf(s)=exp⁡ ⁣(ηs22K(f,f))Ef(s), where the exponential is its formal power series; each coefficient used below involves only finitely many derivatives.

3.1step 2.1F4algebra

On two auxiliary generators, the left side of the asserted identity has the scalar factor exp⁡ ⁣(ηstW(f,g)+η2K(sf+tg,sf+tg)). The right side has factor exp⁡ ⁣(ηs22K(f,f)+ηt22K(g,g)+ηst(W+K)(f,g)). Symmetry and bilinearity of K make these exponents equal.

4.1F1F2F3F4step 3.1algebra∎

Comparing coefficients of s,t in step 3.1 first proves the identity for powers of linear functionals. Replacing f by ∑jsjfj and comparing the coefficient of s1⋯sm, and doing the same independently for g, proves it for every finite product of distinct linear functionals. Each fixed coefficient is continuous in its smooth compact kernels by [F2]–[F4]; the density in [F1] therefore extends the identity to all F,G∈Preg(X). For an input of degree d, the coefficient of ΓKr in αKα−K is multiplied by ∑j=0r(rj)(−1)r−j=(1−1)r, which is zero for r>0 and one for r=0. The sums are finite because ΓK lowers degree by two, so αKα−K=I; the reverse composition is identical.

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Regular time-ordered contraction coefficients

Definition

Assume the Axiom of Countable Choice: for every sequence (En)n∈N of nonempty sets there is a function c with domain N such that c(n)∈En for all n (The Axiom of Countable Choice (ACω)). This premise is inherited from the construction of Hμ in Tempered time-ordered scalar two-point carrier; the finite contractions below require no additional choice assumption.

Set X=R4. Fix μ≥0 and the (−+++), shell, Fourier, and coordinate conventions of Tempered time-ordered scalar two-point carrier. That current supplier states that its relative-coordinate tempered distribution Hμ is symmetric, agrees with the ordered Wightman kernels on strictly ordered time supports and on spacelike-separated supports, and has no prefactor i in its definition. Its current carrier is a draft with a supplied conditional proof; the formula below uses that exact interface. Complex integrals of compactly supported regular kernels use the componentwise Riemann convention in Regular polynomial field functional algebra: write the integrand as its real part plus i times its imaginary part and integrate each real component.

For open Ω⊆Rm, D(Ω) is the space of smooth compactly supported complex tests with the LF topology, and D′(Ω) is its continuous complex-linear dual, paired bilinearly with no conjugation (Test function space d of an open set, Test function topology, Distribution). Schwartz space consists of smooth functions with all polynomially weighted derivatives bounded; S′ is its continuous complex-linear dual with bilinear pairing (Schwartz space and its seminorms, Schwartz topology and convergence, Tempered distribution).

For any relative-coordinate distribution K∈S′(R4), define its translation-invariant two-point bidistribution K~∈D′(R4×R4) by ⟨K~,Ψ⟩=⟨K, z⟼∫R4Ψ(y+z,y) dy⟩,Ψ∈D(R4×R4). The inner function is a test function: its support lies in the difference of the two compact coordinate projections of supp⁡Ψ; each derivative in z is the Riemann integral of the corresponding first-variable derivative of Ψ over a compact rectangle containing the fixed compact second-variable projection; iterate the real single-coordinate differentiation rule over every derivative in z and apply it to both real components, using the compact parameter-integral differentiation convention of Regular polynomial field functional algebra. On each fixed compact support space, every output derivative seminorm is bounded by the volume of a compact rectangle containing the second-variable projection times the corresponding source derivative seminorm. The support of the output lies in the compact difference of the two projections. Thus this map is continuous on each fixed-support test space, and hence on the LF test topology Test function topology. Thus the displayed formula defines a distribution without multiplying singular distributions. Write Hμ=H~μ.

For F∈Preg(R4), define its support as the finite union of the coordinate projections of the supports of its nonconstant symmetric coefficient kernels. This is a compact set and is presentation independent by Tensor-product tests are dense in smooth compact kernel topology. For compact A,B⊂R4, write A≽outB when x−y∉C−:={(t,x)∈R4:t≤−∣x∣}for every x∈A, y∈B. This means the first support has no point in the closed causal past of the second, using the supplier's fixed inertial chart.

For n≥1, let Qn consist of finite coefficient families in n independent real smooth fields ϕi∈C∞(X;R) of the form Q(ϕ1,…,ϕn)=∑r∫qr(x(1),…,x(n))∏i=1n∏a=1riϕi(xa(i)) dx, where r=(r1,…,rn)∈N0n ranges over a finite set, qr∈Cc∞(Xr1×⋯×Xrn;C), and each coefficient is symmetric within every block x(i)=(x1(i),…,xri(i)). X0 is a one-point space; an empty product and an integral over no variables leave the scalar coefficient unchanged. Here dx is the product of the d4xa(i) coordinate volume elements over all variables present. The product ∏iFi(ϕi) of regular polynomials is in Qn.

For 1≤i<j≤n, define the one-pair contraction DHij:Qn→Qn linearly and termwise on each block coefficient qr. It is zero if ri=0 or rj=0; otherwise it has multidegree r−ei−ej and coefficient qr−ei−ej′(x′)=rirj⟨Hμ,(x,y)⟼qr(…,x,…,y,…)⟩, where x occupies the first variable of block i, y occupies the first variable of block j, and the uncontracted variables x′ are held as parameters. The result remains symmetric within each remaining block. The parameter-pairing theorem Distribution pairing with smooth parameter families makes this coefficient smooth and compactly supported. The factor rirj counts the choices of one variable from each symmetric block, so this is exactly one functional derivative in each of the independent field slots followed by pairing against Hμ.

For r≥1, define full symmetrization by Sym⁡rh(x1,…,xr)=1r!∑π∈Srh(xπ(1),…,xπ(r)), with Sym⁡0 the identity. For Q∈Qn, define mnQ by setting ϕ1=⋯=ϕn=ϕ and replacing each remaining block coefficient by its full symmetrization across all variables. For a finite-degree Q, the formal exponential is defined coefficientwise by exp⁡ ⁣(η∑1≤i<j≤nDHij)Q=∑r≥0ηrr!(∑1≤i<j≤nDHij)rQ, which terminates because each contraction lowers total degree by two. The parameter η is formal and fixed by complex conjugation. Define TnH(F1,…,Fn)(ϕ)=mnexp⁡ ⁣(η∑1≤i<j≤nDHij)∏i=1nFi(ϕi),T0H=1,T1H(F)=F. The tensor-product distribution theorem Tensor product distributions and iterated pairings and the parameter-pairing theorem above make every contraction well defined; no diagonal product occurs. Symmetry of Hμ makes TnH symmetric in its inputs.

For any V∈Preg(R4) and formal coupling z, define SzH(V)=∑n=0∞(iz/η)nn! TnH(V,…,V)with coefficients in Preg(R4)[η,η−1]. This is a coefficientwise formal series; the definition asserts no convergence in z, no time-ordered product for singular local functionals, and no continuum interacting field.

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All regular formal temporal causal-factorization coefficients

Statement

Assume the current scalar suppliers Tempered time-ordered scalar two-point carrier, Smeared free scalar field and its Poincare representation, and Causal support of the scalar commutator distribution at exactly their displayed draft interfaces. Let Wμ be the relative-coordinate scalar Wightman distribution from the smeared-field supplier, and let Hμ be the time-ordered relative-coordinate distribution from the time-ordered-kernel supplier. Form their translation-invariant bidistributions by the construction in Regular time-ordered contraction coefficients.

Let V,U∈Preg(R4) have compact supports A,B, respectively. If A≽outB, as defined in Regular time-ordered contraction coefficients, then SzH(V+U)=SzH(V)⋆WμSzH(U) coefficientwise in z. If every difference x−y, x∈A, y∈B, is spacelike, then F⋆WμG=G⋆WμF for regular F,G supported in A,B; the corresponding formal series commute coefficientwise. These are formal identities for regular functionals only. They assert neither convergence in the coupling nor a local Wick-product or continuum-interaction construction.

Facts & Assumptions

Given: The formal parameter conventions, the three current QFT supplier interfaces, and the regular algebra and contraction definitions.

[A1]

The coupling z is formal, and η is an invertible formal bookkeeping parameter fixed by the involution. Equality of Sz series means equality of every coefficient.

[F1]

The time-ordered-kernel carrier is currently a draft whose statement fixes η(−+++)=diag⁡(−1,1,1,1), gives a symmetric tempered Hμ, and states that Hμ=Wμ on strictly positive-time differences and agrees with both ordered Wightman kernels on spacelike-separated supports (Tempered time-ordered scalar two-point carrier). This is its actual current interface, not an accepted proof stamp.

[F2]

The smeared-free-scalar carrier defines the relative-coordinate distribution Wμ(z)=∫Hμ+e−ip∘z dνμ(p); its translation-invariant bidistribution is the shell integral of e−ip∘xeip∘y, and on product tests it equals ⟨Ω,Φμ(f)Φμ(g)Ω⟩2=⟨Kμf‾,Kμg⟩2, with second-variable-linear pairing (Smeared free scalar field and its Poincare representation).

[F3]

The scalar-causal-commutator carrier states [ Φμ(f),Φμ(g) ]=−iΔμ(f,g)I for real compact tests and supp⁡Δμ⊆{(t,x):t2−∣x∣2≥0} (Causal support of the scalar commutator distribution).

[F4]

The lift of a relative distribution is ⟨K~,Ψ⟩=⟨K,z↦∫Ψ(y+z,y) dy⟩. The formal TnH coefficients use these lifts in independent-variable contractions (Regular time-ordered contraction coefficients).

[F5]

The regular star product is the finite contraction formula for any continuous bidistribution and regular polynomial inputs (Regular Wick-star contractions are well defined and associative).

[F6]

Finite sums of product tests are dense in the smooth compact kernel topology (Tensor-product tests are dense in smooth compact kernel topology).

[F7]

Every open cover admits a locally finite smooth partition of unity with compact supports subordinate to cover members (Test function cutoffs and euclidean localization).

[F8]

Tensor products of distributions exist, their supports are products of the factor supports, and iterated pairings associate (Tensor product distributions and iterated pairings).

Proof

Given: [A1] and [F1]–[F8], with each draft supplier used only at its inspected statement and proof status.

1.1F2F3F4F6algebra

Taking vacuum expectations in the commutator of [F3] and using the covariance in [F2] gives Wμ(f,g)−Wμ(g,f)=−iΔμ(f,g) for real compact tests. Complex bilinearity extends this equality to complex product tests, and density [F6] extends it to the lifted bidistributions: W~μ−W~μT=−iΔ~μ. If Ψ is supported where x−y is spacelike, the relative test z↦∫Ψ(y+z,y) dy is compactly supported in the spacelike open set. By [F3] its pairing with Δμ is zero. Thus W~μ−W~μT vanishes there. The conclusion is conditional on the current QFT-MF02 statements.

2.1F1F2F4F7step 1.1construct

Put C=A−B. Every z=x−y∈C either has z0>0 or is spacelike: if z0≤0 and it is not spacelike, then z∈C−, excluded by A≽outB; this also excludes the zero difference. Thus C lies in the open set Ω=U+∪Usp, where U+={z:z0>0} and Usp={z:(z0)2−∣z∣2<0}. By [F7], the cover {U+,Usp} of Ω has a locally finite smooth partition of unity subordinate to these sets. Any compactly supported relative test in Ω meets only finitely many partition functions. On each U+ piece [F1] gives Hμ=Wμ; on each Usp piece [F1] gives agreement with both Wightman orderings, which coincide there by step 1.1. Therefore H~μ−W~μ vanishes on Ω. The open set O={(x,y):x−y∈Ω} contains A×B, and the lift [F4] sends every test supported in O to a relative test supported in Ω. Hence H~μ−W~μ vanishes on an open neighborhood of A×B.

3.1F4F8step 2.1algebra

For any finite number r of cross pairs, expand H~μ⊗r−W~μ⊗r by telescoping; each summand contains one factor H~μ−W~μ. Its support is disjoint from the corresponding open neighborhood of A×B by [F8] and step 2.1, so it pairs to zero with derivative-kernel tests supported in (A×B)r. Therefore every finite cross contraction is unchanged when the time-ordered kernel is replaced by Wμ.

4.1F4F5F8step 3.1algebra

In the finite contraction formula for Tp+qH(V,…,V⏟p inputs,U,…,U⏟q inputs), split ∑i<jDHij into contractions within the first p slots, within the last q slots, and between the two blocks. Two such operators may share a field block, but they contract distinct variable copies. If they share block i, symmetry of its coefficient kernel lets one exchange the labels of the two contracted variables; the tensor-product pairings then agree in either order by [F8]. Thus the within-first, within-last, and cross-block sums commute. Their first two exponentials give TpH(V,…,V) and TqH(U,…,U). By the finite product rule on the block coefficients, the r-th term of the cross-block exponential is ηr/r! times the independent r-pair contraction of the r-th derivative kernels of these two block outputs. After replacing the cross kernels by Wμ using step 3.1, this is exactly the finite star-product formula [F5]. Every remaining field variable comes from an original coefficient kernel, so within-block contractions retain support in A or B. Hence Tp+qH(V,…,V⏟p inputs,U,…,U⏟q inputs)=TpH(V,…,V)⋆WμTqH(U,…,U). For p=0 or q=0, the empty block is T0H=1 and the same identity follows directly.

5.1A1F4step 4.1algebra

In the degree-n coefficient of SzH(V+U), symmetry of TnH groups terms with p copies of V and q copies of U, p+q=n, with factor (np). Dividing by n! gives 1/(p!q!). Substitution of step 4.1 therefore gives exactly the degree-n coefficient of SzH(V)⋆WμSzH(U). Since n was arbitrary, the causal-factorization identity holds coefficientwise, with no convergence in z.

6.1F5step 1.1algebra∎

If A,B are pairwise spacelike separated, step 1.1 gives W~μ=W~μT on A×B. Swapping the two inputs in the finite ⋆Wμ formula reverses each cross pairing and changes no within-input term, so F⋆WμG=G⋆WμF. Applying this coefficientwise to the formal series proves their commutation.

5 · Examples, experiments and counterexamples

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