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Local polynomial functionals are microcausal

Statement

For every F∈Flocpoly(M), every ϕ∈C∞(M;R) and every r≥1, the kernel F(r)(ϕ) satisfies WF⁡(F(r)(ϕ))⊆N∗Δr∖0, where Δr={(x,…,x):x∈M} and N∗Δr={(x,…,x;ξ1,…,ξr):ξ1+⋯+ξr=0}. Consequently F(r)(ϕ) avoids the all-future and all-past causal cotangent cones and F belongs to Fμcpoly(M).

Facts & Assumptions

Given: F∈Flocpoly(M), its finite-jet derivative kernels, and the (−,+,+,+) metric and future time orientation.

[F1]

Off-shell local polynomial scalar functionals: each F(r)(ϕ) is obtained by differentiating a finite polynomial in finitely many derivatives of ϕ, with compactly supported smooth coefficients.

[F2]

Local Fourier definition of a wavefront set: a localized Fourier transform that is rapidly decreasing in some conic neighborhood of a cotangent direction excludes that direction from the wavefront set.

[F3]

Compactly supported polynomial microcausal functionals: microcausality requires the wavefront set of every derivative kernel to avoid tuples all of whose entries are future causal, and tuples all of whose entries are past causal; zero entries are allowed but the tuple itself is nonzero.

[F4]

Wavefront and positive-frequency Hadamard data: the global wavefront set is the union of the local Fourier wavefront sets over all smooth charts, with covectors transported by the transpose chart differential. Future and past causal covectors are defined by metric duality from the two time-oriented causal cones for signature (−,+,+,+).

Proof

technique · finite diagonal kernels and direct nonstationary-phase estimates in every ambient chart

Given: [F1]–[F4].

1.1F1constructalgebra

Expand the finite polynomial in the definition of F after substituting ϕ+∑jtjhj and take the coefficient of t1⋯tr. Each resulting term is ∫a(x)∏j=1r∂αjhj(x) d4x, with a∈Cc∞(M). Write X=(x1,…,xr), i(x)=(x,…,x) and A=∑j∣αj∣. Its kernel is u=(−1)A∂x1α1⋯∂xrαr[a(xr)∏j<rδ(xj−xr)]: pairing it with a product test and using distributional differentiation gives the displayed integral. More generally its value on v(X)∣dX∣ is ∫a(x)(∂x1α1⋯∂xrαrv)(i(x)) d4x. Thus the complete kernel is a finite sum of finite derivatives of smooth compact diagonal distributions, supported on Δr. This includes r=1, with the empty delta product equal to 1, and gives the zero kernel above the finite polynomial degree. Derivatives of the relative deltas are retained; they cannot in general all be transferred to a.

2.1F1F2step 1.1constructalgebra

Fix an arbitrary smooth ambient chart ψ:O→V⊆R4r, a point q=i(x0)∈O, and a nonzero chart covector η0 with D(ψ∘i)(x0)Tη0≠0. Put f=ψ∘i on i−1(O). By continuity, there are a relatively compact neighborhood B of x0, an open cone C about η0, and c>0 such that ∣Df(x)Tη∣≥c∣η∣ on B‾×C. Indeed the left side divided by ∣η∣ is continuous in x and η/∣η∣ and positive at (x0,η0/∣η0∣); restrict to a small closed ball and a small closed spherical cap contained in that positive neighborhood. Choose χ∈Cc∞(V) equal to one near ψ(q), with i−1(ψ−1(supp⁡χ))⊂B. Such a localization is obtained by taking a sufficiently small chart ball inside ψ(O∩{X:xr∈B}). Smooth plateaus in nested balls follow explicitly from H(t)=0 for t≤0, H(t)=e−1/t for t>0: for radii 0<b<R, the ratio H(R2−∣y−y0∣2)/(H(R2−∣y−y0∣2)+H(∣y−y0∣2−b2)) is one on the smaller ball and zero outside the larger, and is smooth because all derivatives of H at zero vanish. No family of charts or localizations is selected. In the test-density convention underlying [F1]–[F2], put Jψ(X)=∣det⁡Dψ(X)∣. For a summand u from step 1.1 its chart Fourier pairing is ⟨uψ,χ(y)e−2πiy⋅η∣dy∣⟩=∫a(x)∂Xα ⁣[Jψ(X)χ(ψ(X))e−2πiη⋅ψ(X)]∣X=i(x)d4x. Here ∂Xα denotes the finite ambient derivative from step 1.1. The absolute Jacobian is smooth since the chart determinant never vanishes. Repeated product and chain rules make this a finite sum ∫Aβ(x,η)e−2πiη⋅f(x)d4x, where each amplitude is a polynomial in η of degree at most m:=∣α∣, with smooth coefficients supported in one compact K⊂B. The coefficients include every derivative of the Jacobian, localization and chart map. Consequently, for every integer k≥0, their derivatives satisfy max⁡∣γ∣≤ksup⁡x∣∂xγAβ(x,η)∣≤Ck(1+∣η∣)m. This follows by bounding the finitely many coefficient derivatives on K; no bound on a varying test function is asserted.

3.1F2step 2.1algebra

For η∈C, ∣η∣≥1, set Φη(x)=η⋅f(x), bη=∇Φη/∣∇Φη∣2, and Lη=−(2πi)−1bη⋅∇x. Then Lηe−2πiΦη=e−2πiΦη. Every derivative of ∇Φη is bounded by a constant times ∣η∣ on B‾, while its squared norm is at least c2∣η∣2. Differentiating the quotient therefore gives sup⁡B‾∣∂xγbη∣≤Cγ∣η∣−1: equivalently write bη=∣η∣−1bη/∣η∣, and differentiate the smooth rational expression on the compact base ball and closed spherical cap where its denominator is bounded below. The transpose for the bilinear integral is LηtA=(2πi)−1div⁡(bηA). Compact support of each amplitude eliminates boundary terms, so N integrations by parts give ∫Aβe−2πiΦη dx=∫(Lηt)NAβ e−2πiΦη dx,∣∫Aβe−2πiΦη dx∣≤CN∣η∣m−N. For completeness, induction on N expands (Lηt)NAβ into finitely many terms, each a derivative of Aβ of order at most N times N factors that are derivatives of components of bη of orders at most N. The bounds of step 2.1 and the preceding quotient bounds give the estimate, and integration over a fixed rectangle containing K supplies its finite volume factor. Integration by parts itself follows componentwise from the ordinary product rule and the fundamental theorem on that rectangle, with zero boundary products. For ∣η∣≤1 the original finite polynomial amplitudes give a uniform integral bound directly. Given any requested decay power p, choose a finite integer N≥p+max⁡∣α∣ over the finitely many kernel terms; the finite sum of all kernel terms then has (1+∣η∣)p times its localized Fourier pairing bounded throughout C.

4.1F2F4step 1.1step 3.1algebra

If q∉Δr, a localization disjoint from the closed diagonal makes the kernel zero by step 1.1. At a diagonal point, steps 2.1–3.1 exclude every chart direction for which Df(x0)Tη≠0. The intrinsic covector represented by η is ξ=DψqTη; the ordinary chain rule gives Df(x0)Tη=Dix0Tξ=∑jξj. Thus, in every arbitrary ambient chart, the only possible singular directions annihilate the tangent to the diagonal. Taking the all-chart union in [F4]'s wavefront convention therefore proves precisely WF⁡(F(r)(ϕ))⊆N∗Δr∖0. No chart-invariance theorem is invoked. For r=1, i is the identity and Dψ is invertible, so every nonzero direction has been excluded and the wavefront set is empty.

5.1F1F3F4step 4.1algebra∎

At a diagonal point, if ξ1,…,ξr are all future causal, their metric-dual time components have the same weak sign, and each nonzero causal covector has a strictly nonzero time component. Hence ∑jξj=0 forces every ξj=0; the same holds for the past cone. Step 4.1 therefore excludes every nonzero tuple in the forbidden cones of [F3]. The finite Taylor expansion of the original polynomial at ϕ=0 gives its symmetric compact coefficient kernels fm=F(m)(0)/m! (and its constant term), so it is also a polynomial functional in the kernel sense of [F3]. Its derivative kernels have the conormal bound just proved for every smooth ϕ and every r≥1. This proves the asserted membership in Fμcpoly(M). All localizations, finite expansions and integrations above were constructed for a fixed chart and direction; this proof adds no choice principle.

Remarks

The proof uses the thin-diagonal support of local functional derivatives and the pointedness of each Minkowski causal cone. It does not impose the free field equation on ϕ.

Depends on

Dependency tree · 2 levels

Sources