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Stationary phase with a compactly supported amplitude

Statement

Let d≥1, a∈Cc∞(Rd), φ∈C∞(Rd;R) and I(λ)=∫e2πiλφ(x)a(x) dx. (a) If ∇φ≠0 on a neighbourhood of supp⁡a, then ∣I(λ)∣≤CNλ−N for every integer N≥0 and λ>0. (b) If φ has exactly one stationary point x0, in the interior of supp⁡a, with D2φ(x0) invertible, then ∣I(λ)∣≤Cλ−d/2 for λ≥1, and more precisely ∣∂λk(e−2πiλφ(x0)I(λ))∣≤Ckλ−d/2−k for every k≥0. The constants depend only on d, the diameter of the amplitude support, the chosen localization radius, finitely many derivatives of a and φ, on a positive lower bound for ∣det⁡D2φ(x0)∣, and on a positive lower bound for ∣∇φ∣ on the amplitude support off a small ball about x0.

Facts & Assumptions

Given: d≥1, a real phase φ∈C∞(Rd;R), an amplitude a∈Cc∞(Rd;C), I(λ)=∫e2πiλφ(x)a(x) dx.

[F2]

Taylor with Lagrange remainder near the stationary point: since ∇φ(x0)=0, on a sufficiently small ball B(x0,η) one has φ(x)=φ(x0)+12⟨Q(x−x0),x−x0⟩+R(x) with Q=D2φ(x0) and ∣R(x)∣≤C3∣x−x0∣3, ∣∇R(x)∣≤C3∣x−x0∣2; consequently ∇φ(x)=Q(x−x0)+∇R(x) and, Q being invertible with smallest singular value μ>0, ∣∇φ(x)∣≥μ2∣x−x0∣ for ∣x−x0∣ small. (Multivariable Taylor formula with a Lagrange remainder along a line segment, Second-order Taylor expansion f(a+h)=f(a)+∇f(a)⋅h+12hTHf(a)h+o(∥h∥2), The multivariable Taylor polynomial in multi-index notation)

[F5]

Finite compact localization: for a compact set K covered by finitely many open balls, first cover K by finitely many smaller balls whose closures lie in members of the original cover. Choose smooth nonnegative bumps βj supported in those cover members and equal to one on the smaller balls. Their sum B is positive near K. For 0<c<min⁡KB, choose a smooth scalar cutoff η zero when B≤c/2 and one when B≥c; then ρj=η(B)βj/B where B>0, extended by zero, are smooth compactly supported functions subordinate to the original balls and sum to one near K. This uses only finite choices and smooth Euclidean cutoffs. (Explicit compactly supported smooth cutoffs, For a nonempty subset of Rn with n≥1, compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, Ck maps and multi-index derivative notation in Euclidean space)

[F6]

Differentiation under the integral sign: for compactly supported smooth integrands depending smoothly on a parameter, ∂λk∫e2πiλ(φ(x)−φ(x0))a(x) dx=∫(2πi(φ(x)−φ(x0)))ke2πiλ(φ(x)−φ(x0))a(x) dx for every k≥0. (Differentiation under the integral sign, Dominated convergence)

[F7]

Volume and annulus integrals: the ball of radius δ has volume ωdδd, and for 2N>d the annulus (δ,η) satisfies ∫δ≤∣x∣≤η∣x∣−2Ndx≤Cd,Nδd−2N for 0<δ≤η≤1. (The volume of a radius-r closed n-ball is πn/2rn/Γ(n/2+1), Fubini's theorem for L^1 functions on a sigma-finite product, The nonnegative Lebesgue integral)

Proof

technique · direct; localize with cutoffs, gain $\lambda^{-1}$ per integration by parts against the phase gradient, and balance the gain against the $|x|^{-2}$ loss and the annulus volume to obtain the exponent $d/2$
1.1F1F5givenalgebra

Non-stationary decay (a). Assume ∣∇φ∣≥κ>0 on a neighbourhood of supp⁡a. Cover supp⁡a by finitely many balls on each of which some partial derivative satisfies ∣∂jφ∣≥κ/d; such a cover exists because ∣∇φ∣ is the Euclidean norm of the gradient. By [F5] choose a smooth partition of unity ∑rρr=1 on a neighbourhood of supp⁡a subordinated to that cover and replace a by aρr, reducing to the case where ∣∂jφ∣≥c>0 on supp⁡a for one index j. Put ψ:=1/∂jφ on a neighbourhood of supp⁡a and F:=e2πiλφ. Since ∂jF=2πiλ ∂jφ F, [F1] gives ∫e2πiλφa dx=(2πiλ)−1∫(∂jF)ψa dx=−(2πiλ)−1∫F ∂j(ψa) dx. Iterating this identity N times (each step replaces the amplitude by ∂j(ψ ⋅), a smooth compactly supported function) yields ∣I(λ)∣≤(2πλ)−NCN, where CN is a finite supremum of derivatives of a,ψ on the support; summing the finitely many patches gives (a).

2.1F1F2F5step 1.1

Localization at the stationary point (b). Fix x0 and Q as in [F2], and choose η>0 so small that the expansion and the lower bound ∣∇φ(x)∣≥μ2∣x−x0∣ hold on the ball B(x0,η) and B(x0,η) is contained in the interior of supp⁡a where needed; choose a smooth cutoff ρ with ρ=1 on B(x0,η/2), ρ=0 outside B(x0,η), and put a1:=ρa, a2:=(1−ρ)a. On supp⁡a2 the gradient does not vanish and is bounded below by a positive number depending on η, a and φ, so [F2] does not apply there but (a) of step 1.1 does: ∣∫e2πiλφa2∣≤CNλ−N for every N. Hence it suffices to estimate I1(λ)=∫e2πiλφa1.

3.1F5F7step 2.1algebra

Smooth dyadic decomposition. Translate x0 to zero. Choose a smooth radial cutoff θ equal to one for ∣x∣≤1 and zero for ∣x∣≥2. Put r=λ−1/2. If r is comparable to or larger than the fixed localization radius η, the crude compact-support bound already gives the claimed estimate, after adjusting a constant on that bounded interval of λ. Otherwise a1θ(x/r) is supported in ∣x∣≤2r and its integral is bounded by Crd=Cλ−d/2. The remaining amplitude has the telescoping smooth decomposition a1∑j≥0[θ(x/(2j+1r))−θ(x/(2jr))]; only finitely many summands meet its support. The jth term is supported where sj≤∣x∣≤4sj, sj=2jr, and its derivative of order ℓ is bounded by Cℓsj−ℓ, for sj below a fixed constant.

4.1F1F2F5F7step 3.1algebra

Smooth annulus estimates. On each such annulus put V=∇φ/∣∇φ∣2. Taylor's estimate [F2] and the product and quotient rules give ∣∂αV(x)∣≤Cαsj−1−∣α∣ there: the numerator is O(sj), its higher derivatives are bounded, and the denominator is at least csj2; differentiating the reciprocal and using the product rule gives the stated bounds by induction. For its smooth compactly supported amplitude uj, integration by parts over all of Rd gives ∫e2πiλφuj=−(2πiλ)−1∫e2πiλφdiv⁡(Vuj). After N iterations the new amplitude is bounded by CNλ−Nsj−2N: each divergence consumes one derivative and one factor V, and the derivative estimates of step 3.1 and of V give this bound by the Leibniz rule. Its support has volume at most Csjd, so its integral is at most CNλ−Nsjd−2N. Choose 2N>d and sum the geometric series over sj=2jr; it is bounded by Cλ−Nrd−2N=Cλ−d/2. Every integration uses smooth compact support away from zero, so there is no boundary term or singular vector field at the stationary point. Combining this with steps 2.1 and 3.1 proves the basic estimate.

5.1F2F6F7step 1.1step 3.1step 4.1algebra

Differentiated bounds. By [F6] the kth derivative of the centered local integral has amplitude uk=(2πi(φ−φ(0)))ka1. Taylor's formula gives ∣∂ℓuk∣≤Ck,ℓ∣x∣max⁡(2k−ℓ,0) near zero: a derivative of order ℓ distributed among the k factors reduces the total vanishing order by at most ℓ. On the small ball its absolute integral is at most Crd+2k. On the smooth annulus the cutoff amplitude has derivative bounds Ck,ℓsj2k−ℓ (also for ℓ>2k, since sj is bounded above and sj2k−ℓ is then bounded below). The same N integrations give the bound Cλ−Nsjd+2k−2N. Choosing 2N>d+2k and summing yields Cλ−Nrd+2k−2N=Cλ−d/2−k. On the nonstationary support, differentiation of the centered exponential multiplies its fixed amplitude by (2πi(φ−φ(0)))k; step 1.1 still gives arbitrarily fast decay. This proves every centered derivative estimate.

6.1step 1.1step 2.1step 3.1step 4.1step 5.1∎

Conclusion. Step 1.1 proves (a) for all N; steps 2.1–4.1 prove the O(λ−d/2) bound of (b) with the stated dependence on d, finitely many derivatives of a,φ, μ and the lower bound for ∣∇φ∣ off the small ball; step 5.1 proves the differentiated bounds. The argument uses finite-dimensional Taylor estimates, the stated Fubini and differentiation-under-the-integral interfaces, the fundamental theorem, and smooth compact-support integration by parts. All spatial partitions in [F5] use finitely many Euclidean bumps. No additional Choice principle is invoked beyond the stated hypotheses of these integration suppliers; this does not assert that every item in their transitive foundational closure has a choice-free proof.

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