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Analytic cutoff sequence and local FBI invariance

Statement

Let u be a compactly supported distribution or a compactly supported distributional density on a real-analytic manifold. In each analytic chart use the Gaussian FBI packets of the preceding definition, paired with test densities in the first case and test functions in the second. The exponential-decay criterion is independent of the compact cutoff that equals one near the base point. It is also equivalent after an analytic chart change, with covectors transformed by the cotangent differential, and after replacing the standard Gaussian packets by their analytic pullbacks under that chart change. The latter equivalence is asserted only for the local packet and chart changes used on this page; it is the analytic-wavefront invariance needed to interpret the set geometrically.

Facts & Assumptions

Given: A compactly supported distribution u, a point-covector pair, nested coordinate neighborhoods, and the Gaussian packet families in the statement.

[F1]

Analytic wavefront set by Gaussian FBI packets: analytic regularity means a uniform exponential bound on localized Gaussian FBI pairings.

[F2]

Finite-order analytic cutoff sequence: smooth compact cutoffs can be chosen with ∣∂αχN∣≤C(CN)∣α∣ for ∣α∣≤N.

[F3]

Distributions, conormal kernels, and cotangent relations: scalar distributions act on test densities, while distributional densities act on scalar test functions; both are continuous with local fixed-support seminorm control.

[F4]

Compactly supported distributions are tempered: compactly supported Euclidean distributions have unique tempered extensions.

[F5]

Compactly supported distributions extend to smooth functions: compactly supported distributions act continuously on smooth functions by local cutoffs.

[F6]

Local analytic elliptic packet reconstruction proves bidirectional equivalence for normalized positive analytic phases and elliptic analytic amplitudes, including actual inverse and fixed-order exponentially small localization errors.

Proof

Given: The data in the statement.

1.1F1F3givenalgebra

Fix one real-analytic chart and two smooth cutoffs χ,χ~ that both equal one on a neighborhood of the base point. Choose a smaller center neighborhood U0 and a compact support neighborhood so that ∣x−y∣≥d>0 whenever x∈U0 and y∈supp⁡(χ−χ~). By continuity in the fixed-support topology [F3], in either distributional type the pairing is bounded by C0 times the maximum of finitely many derivatives of its test object; a coordinate density factor, when present, has bounded derivatives on the compact chart support. Those derivatives of (χ−χ~)eiλ(x−y)⋅ω−λ∣x−y∣2/2 are bounded by C1(1+λ)me−λd2/2 uniformly for x∈U0, directions near ω0, and λ≥1. Since a polynomial times e−λd2/2 is bounded by C2e−cλ for any fixed 0<c<d2/2, replacing one fixed-chart cutoff by the other changes the FBI packet by an exponentially small term.

1.2F3F6givenalgebra

Let κ be an analytic chart change. After shrinking to nested compact neighborhoods, ∣κ(q)−κ(y)∣≥c∣q−y∣ and Dκ(q) is invertible uniformly. The pulled-back packet has phase ϕ(y,q,ω)=ω⋅(κ(q)−κ(y))+i2∣κ(q)−κ(y)∣2. It is holomorphic after complexification, vanishes at y=q, and has derivative −Dκ(q)Tω there. First [F6] allows ω to range over a bounded open ball about its nonzero reference direction: its reference phase (q−y)⋅ω+i∣ω∣∣q−y∣2/2 is exactly the unit-direction packet with parameter λ∣ω∣, and [F6] equates this phase to the Gaussian of width λ on that open ball. Apply the same reference criterion in the new chart before pulling its packets back. We may therefore reparameterize the open frequency ball by p=Dκ(q)Tω; this is an analytic local diffeomorphism of open frequency parameters and is precisely the cotangent rule. The phase is now normalized and positive in the sense of [F6]. The Jacobian amplitude for scalar distributions is analytic and nonzero: the sign of the real determinant is constant on the smaller connected chart, so its absolute value has an analytic continuation. For distributional densities the amplitude is 1.

2.1F2F3F4F5step 1.1

Thus the exponential-decay criterion is independent of the fixed-chart cutoff. The finite-order sequence [F2] supplies the uniform localizers required when a distribution is restricted to a smaller chart; it avoids any use of compactly supported analytic bumps. For a distributional density V in the fixed chart, define the scalar distribution uV by ⟨uV,φ∣dy∣⟩=⟨V,φ⟩. Continuity follows from [F3], and the vanishing-open sets of uV and V agree because ∣dy∣ is nowhere zero, so their supports agree. The packet pairings agree by definition. Hence [F4]–[F5] give the local Euclidean tempered and smooth-function realizations for either distributional type. This proves the cutoff and localization clauses without a choice axiom.

3.1F3F6step 1.1step 2.1step 1.2algebra∎

Apply [F6] to the standard and pulled-back packets on the smaller neighborhoods. It supplies actual transition representations in both directions, with polynomially bounded transition kernels and errors exponentially small in every fixed derivative; the finite distributional order from [F3] therefore preserves their exponential size after pairing. The known exponential estimate on the source parameter neighborhood transfers to the target one. Swapping the two families gives the converse. Step 1.1 removes all fixed cutoff choices, and step 2.1 covers both distributional conventions. This proves every invariance clause in the statement, with the exact cotangent transformation from step 1.2.

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