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Stationary phase with a compactly supported amplitude
Statement
Let , , and . (a) If on a neighbourhood of , then for every integer and . (b) If has exactly one stationary point , in the interior of , with invertible, then for , and more precisely for every . The constants depend only on , the diameter of the amplitude support, the chosen localization radius, finitely many derivatives of and , on a positive lower bound for , and on a positive lower bound for on the amplitude support off a small ball about .
Facts & Assumptions
Given: , a real phase , an amplitude , .
Divergence and integration by parts: for a compactly supported smooth vector field one has (integrate the last coordinate first and apply the one-dimensional fundamental theorem across the compact support, using Fubini); hence for smooth and any , . (Fubini's theorem for L^1 functions on a sigma-finite product, Newton–Leibniz needs only continuity on , differentiability on , and a Riemann-integrable extension of the interior derivative, Newton–Leibniz remains valid across finitely many exceptional interior points when the primitive is continuous, Sums, scalar multiples, products and quotients: , , , and when )
Taylor with Lagrange remainder near the stationary point: since , on a sufficiently small ball one has with and , ; consequently and, being invertible with smallest singular value , for small. (Multivariable Taylor formula with a Lagrange remainder along a line segment, Second-order Taylor expansion , The multivariable Taylor polynomial in multi-index notation)
Finite compact localization: for a compact set covered by finitely many open balls, first cover by finitely many smaller balls whose closures lie in members of the original cover. Choose smooth nonnegative bumps supported in those cover members and equal to one on the smaller balls. Their sum is positive near . For , choose a smooth scalar cutoff zero when and one when ; then where , extended by zero, are smooth compactly supported functions subordinate to the original balls and sum to one near . This uses only finite choices and smooth Euclidean cutoffs. (Explicit compactly supported smooth cutoffs, For a nonempty subset of with , compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent, Sums, scalar multiples, products and quotients: , , , and when , maps and multi-index derivative notation in Euclidean space)
Differentiation under the integral sign: for compactly supported smooth integrands depending smoothly on a parameter, for every . (Differentiation under the integral sign, Dominated convergence)
Volume and annulus integrals: the ball of radius has volume , and for the annulus satisfies for . (The volume of a radius- closed -ball is , Fubini's theorem for L^1 functions on a sigma-finite product, The nonnegative Lebesgue integral)
Proof
Non-stationary decay (a). Assume on a neighbourhood of . Cover by finitely many balls on each of which some partial derivative satisfies ; such a cover exists because is the Euclidean norm of the gradient. By [F5] choose a smooth partition of unity on a neighbourhood of subordinated to that cover and replace by , reducing to the case where on for one index . Put on a neighbourhood of and . Since , [F1] gives Iterating this identity times (each step replaces the amplitude by , a smooth compactly supported function) yields , where is a finite supremum of derivatives of on the support; summing the finitely many patches gives (a).
Localization at the stationary point (b). Fix and as in [F2], and choose so small that the expansion and the lower bound hold on the ball and is contained in the interior of where needed; choose a smooth cutoff with on , outside , and put , . On the gradient does not vanish and is bounded below by a positive number depending on , and , so [F2] does not apply there but (a) of step 1.1 does: for every . Hence it suffices to estimate .
Smooth dyadic decomposition. Translate to zero. Choose a smooth radial cutoff equal to one for and zero for . Put . If is comparable to or larger than the fixed localization radius , the crude compact-support bound already gives the claimed estimate, after adjusting a constant on that bounded interval of . Otherwise is supported in and its integral is bounded by . The remaining amplitude has the telescoping smooth decomposition ; only finitely many summands meet its support. The th term is supported where , , and its derivative of order is bounded by , for below a fixed constant.
Smooth annulus estimates. On each such annulus put . Taylor's estimate [F2] and the product and quotient rules give there: the numerator is , its higher derivatives are bounded, and the denominator is at least ; differentiating the reciprocal and using the product rule gives the stated bounds by induction. For its smooth compactly supported amplitude , integration by parts over all of gives . After iterations the new amplitude is bounded by : each divergence consumes one derivative and one factor , and the derivative estimates of step 3.1 and of give this bound by the Leibniz rule. Its support has volume at most , so its integral is at most . Choose and sum the geometric series over ; it is bounded by . 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.
Differentiated bounds. By [F6] the th derivative of the centered local integral has amplitude . Taylor's formula gives near zero: a derivative of order distributed among the factors reduces the total vanishing order by at most . On the small ball its absolute integral is at most . On the smooth annulus the cutoff amplitude has derivative bounds (also for , since is bounded above and is then bounded below). The same integrations give the bound . Choosing and summing yields . On the nonstationary support, differentiation of the centered exponential multiplies its fixed amplitude by ; step 1.1 still gives arbitrarily fast decay. This proves every centered derivative estimate.
Conclusion. Step 1.1 proves (a) for all ; steps 2.1–4.1 prove the bound of (b) with the stated dependence on , finitely many derivatives of , and the lower bound for 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.
Depends on
- Van der Corput oscillatory integral estimates in one dimension
- Multivariable Taylor formula with $o(\|h\|^k)$ remainder
- Second-order Taylor expansion $f(a+h)=f(a)+\nabla f(a)\cdot h+\tfrac12h^TH_f(a)h+o(\|h\|^2)$
- The multivariable Taylor polynomial in multi-index notation
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- $C^k$ maps and multi-index derivative notation in Euclidean space
- Locally finite partitions of unity and subordination to an open cover
- Fubini's theorem for L^1 functions on a sigma-finite product
- Dominated convergence
- The nonnegative Lebesgue integral
- A linear map $T$ of $\mathbb{R}^n$ sends Lebesgue measurable sets to Lebesgue measurable sets, with $\lambda_n(T[E])=|\det T|\,\lambda_n(E)$ when $T$ is invertible and $T[E]$ Lebesgue null when it is not
- Sylvester's law of inertia: every real symmetric form is congruent to $\operatorname{diag}(I_p,-I_q,0_r)$, and $(p,q,r)$ is unique
- Integration by parts for absolutely continuous functions
- Differentiation under the integral sign
- Multivariable Taylor formula with a Lagrange remainder along a line segment
- Newton–Leibniz needs only continuity on $[a,b]$, differentiability on $(a,b)$, and a Riemann-integrable extension of the interior derivative
- The volume of a radius-$r$ closed $n$-ball is $\pi^{n/2}r^n/\Gamma(n/2+1)$
- Newton–Leibniz remains valid across finitely many exceptional interior points when the primitive is continuous
- Explicit compactly supported smooth cutoffs
- For a nonempty subset of $\mathbb{R}^n$ with $n\ge1$, compactness, closedness and boundedness, pseudocompactness, and attainment of extrema by every continuous real-valued function are equivalent
Used by
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Sources
- Mark Williams, Notes on harmonic analysis (standard reference, not scraped)
- Terence Tao, Lecture Notes 8 for Math 247B (standard reference, not scraped)