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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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