Recovering a frequency amplitude from iterated regularity

An oscillation can conceal the amplitude that determines a distribution's order. In a frequency graph the concealed factor is explicit. Removing it turns suitable operators on the distribution into ordinary derivatives of the amplitude. Dyadic L2L^2 estimates then recover the exact symbol order.

The graph argument below is written in full. The selected operator, L2L^2 and dyadic analytic proofs are supplied in the linked companions, including the proper local representation needed to apply the endpoint estimate. This draft does not certify the whole intrinsic lesson, its general phase theorem, its global bundle theorem, or publication eligibility.

1. Conventions and exact earlier proofs

We use f^(ξ)=∫e−ix⋅ξf(x) dx\widehat f(\xi)=\int e^{-ix\cdot\xi}f(x)\,dx, inverse coefficient (2π)−n(2\pi)^{-n}, and Dj=−i∂xjD_j=-i\partial_{x_j}. All orders are real unless specified. An ordinary symbol b∈Sr(Rn)b\in S^r(\mathbb R^n) satisfies

∣∂ξαb(ξ)∣≤Cα⟨ξ⟩r−∣α∣.(G1) |\partial_\xi^\alpha b(\xi)|\le C_\alpha\langle\xi\rangle^{r-|\alpha|}. \tag{G1}

For a symbol depending on a base variable, every base derivative has the same order. Matrix symbols use any fixed finite-dimensional norm.

The earlier programme proofs used here are exact, bounded selections:

ID Used result Earlier programme proof
P1 Dyadic Besov definition, multiplication and coordinate bounds, ordinary symbol endpoint bound, local frequency Sobolev estimate Exact modified AN03-U008 Section 1 selection B0–B6; its local operator representation is proved in P2
P2 Quantization on distributions; adjoints and composition with every remainder; properly supported localization and smoothing errors Exact modified AN03 ordinary selection O0–O6, with its linked metric localization, quadratic multiplier and finite-dimensional proofs
P3 Completed Lebesgue measure, L2L^2 completeness and smooth density; both inverse Fourier maps, distributional compatibility, Parseval and measurable multipliers Exact modified AN03-P004 selection M0–M8, and AN03-P001 selection L0–L3, with the earlier U001 Schwartz proofs linked there
P4 Uniform stationary phase with ordinary symbol amplitudes, including differentiated remainders AN04-U001, Sections 4–6; its analytic and finite-dimensional proofs are included in that reconstruction
P5 Conic frequency-graph coordinates from a base diffeomorphism; nondegenerate critical-map geometry C0–C5, with exact earlier U001 linear algebra and calculus
P6 Ordinary coordinate transport; intrinsic chart and frame invariance; Fourier wavefront covariance, compact conic cutoffs and wavefront containment T0–T3 and W1–W5, with the exact P1–P3 inputs above
P7 Conic two-sided parametrices with every remainder; finite conic Besov reconstruction; the full intrinsic localization theorem and cutoff independence K0–K7, with the exact P1–P3 and P6 inputs above
P8 Representation using a prescribed nondegenerate or clean phase; exact excess correction; all symbol remainders and lower-order criteria F0–F7, using the proved graph criterion, P5–P7 and exact U001 stationary-phase proofs

These are programme proof dependencies, not replacements by human-source citations. Section 1 of AN03-U008 proves its endpoint estimate directly by Fourier kernel bounds and Schur's inequality. Only that selection is needed here; the transmission and complex-analysis parts of that lesson are not. The selected companion fills the endpoint summations and extension steps, without asserting Schwartz density in the endpoint norm. Its supplied local representation hypothesis keeps the operator-calculus dependency visible. Earlier whole-lesson approvals are not adopted as current source decisions.

Write Bs=B2,∞sB^s=B^s_{2,\infty}. If AjA_j is the low-frequency ball for j=0j=0 and a dyadic annulus for j≥1j\ge1, then

∥u∥Bs=sup⁡j≥02js∥1Aju^∥2(G2) \|u\|_{B^s}=\sup_{j\ge0}2^{js}\|\mathbf1_{A_j}\widehat u\|_2 \tag{G2}

up to the fixed Plancherel constant. Membership includes local square integrability of the Fourier transform. The local space requires (G2) after every compactly supported smooth multiplication. Summing the weighted annular squares gives Hs⊂Bs⊂Hs−ϵH^s\subset B^s\subset H^{s-\epsilon} for each ϵ>0\epsilon>0: the first inclusion bounds a supremum by an ℓ2\ell^2 norm; the second uses ∑j2−2jϵ<∞\sum_j2^{-2j\epsilon}<\infty.

Let HH be real, smooth on Rn∖0\mathbb R^n\setminus0, and homogeneous of degree one. Fix a real smooth extension He∈S1H_e\in S^1 equal to HH for ∣ξ∣≥2|\xi|\ge2. The graph is

ΓH={(H′(ξ),ξ):ξ≠0}.(G3) \Gamma_H=\{(H'(\xi),\xi):\xi\ne0\}. \tag{G3}

It is Lagrangian: the pullback of ∑jdξj∧dxj\sum_jd\xi_j\wedge dx_j vanishes because H′′H'' is symmetric; its frequency projection is the identity, so its dimension is nn and the parametrization is an embedding.

An admissible first-order operator is a properly supported ordinary Ψ1\Psi^1 operator whose principal symbol vanishes on this graph. For symbols not assumed classical this means that the restriction of a representative to x=H′(ξ)x=H'(\xi) belongs to S0S^0, locally in the base variables; changing the representative by S0S^0 preserves the condition. All compact frequency regions can be changed freely. Define Im(ΓH)\mathcal I^m(\Gamma_H) by

L1⋯LNu∈Bloc−m−n/4for every admissible word, including N=0.(G4) L_1\cdots L_Nu\in B^{-m-n/4}_{\mathrm{loc}} \quad\hbox{for every admissible word, including }N=0. \tag{G4}

This definition retains the exact dyadic endpoint.

2. A real frequency phase with a properly supported kernel

G5. There is a real h∈S1h\in S^1 with h−He∈S−∞h-H_e\in S^{-\infty} such that the inverse Fourier transforms of hh and all hj=∂jhh_j=\partial_jh have compact support.

Proof. Put K=F−1HeK=\mathcal F^{-1}H_e. Take a smooth dyadic partition in frequency and write K=∑j≥0KjK=\sum_{j\ge0}K_j as a tempered-distribution sum. For the large-frequency pieces, changing variables ξ=2jη\xi=2^j\eta and integrating by parts on a fixed annulus gives

∣∂xβKj(x)∣≤CN,β2j(n+1+∣β∣)(1+2j∣x∣)−N.(G5) |\partial_x^\beta K_j(x)| \le C_{N,\beta}2^{j(n+1+|\beta|)}(1+2^j|x|)^{-N}. \tag{G5}

Indeed every derivative of the rescaled symbol is bounded by C2jC2^j; each xx-derivative contributes at most 2j2^j, and the volume is 2jn2^{jn}. Moving (1−Δη)M(1-\Delta_\eta)^M off the exponential supplies arbitrarily high even powers of the final denominator, which imply the displayed estimate for every integer NN. The low-frequency piece is Schwartz by the same integration by parts.

On ∣x∣≥ϵ>0|x|\ge\epsilon>0, choose N>n+1+∣β∣N>n+1+|\beta| and sum the geometric series. Increasing NN proves arbitrary decay as ∣x∣→∞|x|\to\infty, for every derivative. Thus KK is smooth off zero and (1−κ)K(1-\kappa)K is Schwartz whenever κ∈Cc∞\kappa\in C_c^\infty is one near zero. Choose κ\kappa real and even. Set

h=F(κK)=He−F((1−κ)K).(G6) h=\mathcal F(\kappa K) =H_e-\mathcal F((1-\kappa)K). \tag{G6}

Schwartz Fourier invariance, proved in AN04-U001's quadratic companion, shows that the difference is Schwartz. Since HeH_e is real, K(−x)=K(x)‾K(-x)=\overline{K(x)} distributionally. The same identity holds for κK\kappa K, hence its Fourier transform is real. Finally F−1hj=−ixjκK\mathcal F^{-1}h_j=-ix_j\kappa K, which has the same compact support. Convolution with each of these compact kernels is properly supported: if one variable is in a compact set, the other is in its sum with a fixed compact set. This proves every assertion. ∎

The use of a real hh matters: multiplication by eihe^{ih} preserves Fourier absolute values. The compact kernel matters independently: words in the operators below preserve compact support, with a larger compact set allowed for each fixed word.

3. Removing the frequency phase after a base localization

For a base-compact ordinary symbol a(x,θ)a(x,\theta) of order rr, set

w(x)=(2π)−n∫ei(x⋅θ−He(θ))a(x,θ) dθ.(G7) w(x)=(2\pi)^{-n}\int e^{i(x\cdot\theta-H_e(\theta))} a(x,\theta)\,d\theta. \tag{G7}

This is a distribution: in its pairing with a compact test function move (1−Δx)N(1-\Delta_x)^N off eix⋅θe^{ix\cdot\theta}, divide by ⟨θ⟩2N\langle\theta\rangle^{2N}, and take 2N>r+n2N>r+n. All resulting integrals are absolutely convergent and controlled by finitely many test seminorms. A frequency cutoff and the same estimate justify its removal and every integration by parts used below.

G8 (exact-order reduction). The smooth function

RHa(ξ)=eiHe(ξ)w^(ξ)(G8) \mathcal R_Ha(\xi)=e^{iH_e(\xi)}\widehat w(\xi) \tag{G8}

belongs to SrS^r, with finite-seminorm bounds. Its first coefficient is

RHa(ξ)−a(H′(ξ),ξ)∈Sr−1(∣ξ∣≥2).(G9) \mathcal R_Ha(\xi)-a(H'(\xi),\xi)\in S^{r-1} \quad (|\xi|\ge2). \tag{G9}

There is a full expansion with a remainder in Sr−NS^{r-N} after NN terms. No positive definiteness of H′′H'' is required.

Proof. For ξ=Rω\xi=R\omega, R≥2R\ge2, ∣ω∣=1|\omega|=1, the defining double integral has phase x⋅(θ−Rω)−He(θ)+H(Rω)x\cdot(\theta-R\omega)-H_e(\theta)+H(R\omega). First split it into a region ∣θ/R−ω∣<c|\theta/R-\omega|<c, with fixed 0<c<1/40<c<1/4, and its complement, using a smooth cutoff equal to one on a smaller such region.

The complement is rapidly decreasing in RR, with all radial and angular derivatives. Here are the bounds for its unbounded frequency domain. On ∣θ∣≤4R|\theta|\le4R, away from that smaller region, ∣θ−Rω∣≥c′R|\theta-R\omega|\ge c'R. Repeated integration by parts in xx gives any power R−MR^{-M} times a polynomially growing integral in RR. A possible logarithm at a borderline order is bounded by an extra factor RR. On ∣θ∣>4R|\theta|>4R, the same denominator is comparable to ∣θ∣|\theta|; integration of ⟨θ⟩r−M\langle\theta\rangle^{r-M} gives any negative power of RR once MM is large. Differentiation by any prescribed number of R∂RR\partial_R and angular derivatives only adds polynomial factors in R,θR,\theta; increasing MM absorbs them. Cutoff derivatives obey the same bounds. This proves the assertion about the complement without an unsupported compact-frequency truncation.

In the remaining region write θ=Rη\theta=R\eta. The phase becomes RΦR\Phi, where

Φ(x,η,ω)=x⋅(η−ω)−H(η)+H(ω).(G10) \Phi(x,\eta,\omega)=x\cdot(\eta-\omega)-H(\eta)+H(\omega). \tag{G10}

There is exactly one critical point in (x,η)(x,\eta): (H′(ω),ω)(H'(\omega),\omega). Euler's identity H′(ω)⋅ω=H(ω)H'(\omega)\cdot\omega=H(\omega), obtained by differentiating H(tω)=tH(ω)H(t\omega)=tH(\omega), also shows that its critical value is zero. The Hessian there is

Qω=(0II−H′′(ω)).(G11) Q_\omega=\begin{pmatrix}0&I\\ I&-H''(\omega)\end{pmatrix}. \tag{G11}

The quadratic form 2X⋅E−ETH′′(ω)E2X\cdot E-E^TH''(\omega)E becomes 2Y⋅E2Y\cdot E under Y=X−12H′′(ω)EY=X-\tfrac12H''(\omega)E. This change has determinant one. A further orthogonal change to (Y+E)/2(Y+E)/\sqrt2 and (Y−E)/2(Y-E)/\sqrt2 gives nn positive and nn negative squares. Consequently ∣det⁡Qω∣=1|\det Q_\omega|=1 and its signature is zero.

The rescaled amplitude a(x,Rη)a(x,R\eta) is an ordinary symbol of order rr in RR, uniformly with all compact (x,η,ω)(x,\eta,\omega) derivatives. A fixed base cutoff can include the compact set {H′(ω):∣ω∣=1}\{H'(\omega):|\omega|=1\}; outside the support of aa this just extends a zero amplitude. Compact parameter patches and the finite cutoffs of AN04-U001, Appendix A.4, now allow its Sections 5–6 to apply uniformly. The stationary-phase coefficient (2π/R)n(2\pi/R)^n cancels the Jacobian and normalization (2π)−nRn(2\pi)^{-n}R^n. The determinant and signature factors are both one. This gives (G9), and each further term loses one power of RR.

The same theorem gives the differentiated remainders, not merely undifferentiated OO-bounds. On the zero critical value in (G10), it bounds every (R∂R)k∂ωβ(R\partial_R)^k\partial_\omega^\beta of the remainder by CRr−NC R^{r-N}. In polar coordinates a Cartesian derivative is R−1R^{-1} times a smooth angular combination of R∂RR\partial_R and angular derivatives. Induction therefore gives exactly CαRr−N−∣α∣C_\alpha R^{r-N-|\alpha|}. Low frequencies are smooth because ww is compactly supported. This proves (G8)–(G9), the full remainder orders and finite-seminorm continuity. ∎

In particular multiplication by a compact smooth function preserves the class \F−1(e−iHeSr)\mathcal F^{-1}(e^{-iH_e}S^r). This conclusion follows by applying G8 to a(x,θ)=χ(x)b(θ)a(x,\theta)=\chi(x)b(\theta); it is not an unproved assertion that multiplying an oscillatory distribution simply multiplies its frequency amplitude.

4. The graph criterion, in both directions

G12. If u∈E′(Rn;Cq)u\in\mathcal E'(\mathbb R^n;\mathbb C^q), then

u∈Im(ΓH)⟺eiHe(ξ)u^(ξ)∈Sm−n/4(Rn;Cq).(G12) u\in\mathcal I^m(\Gamma_H) \quad\Longleftrightarrow\quad e^{iH_e(\xi)}\widehat u(\xi)\in S^{m-n/4}(\mathbb R^n;\mathbb C^q). \tag{G12}

Conversely, without a compact-support requirement, every F−1(e−iHeb)\mathcal F^{-1}(e^{-iH_e}b), b∈Sm−n/4b\in S^{m-n/4}, belongs locally to the class on the left. Low-frequency changes add a smooth function and do not alter the assertion.

Forward proof. Choose hh from G5 and put

Qj=xj−hj(D),v=eihu^,r=m−n/4.(G13) Q_j=x_j-h_j(D),\qquad v=e^{ih}\widehat u,\qquad r=m-n/4. \tag{G13}

These are proper operators. Direct Fourier differentiation gives

Qju^=e−ihi∂jv,[Qj,Qk]=0,[Qj,Dk]=iδjk.(G14) \widehat{Q_ju}=e^{-ih}i\partial_jv, \quad [Q_j,Q_k]=0, \quad [Q_j,D_k]=i\delta_{jk}. \tag{G14}

The first identity follows from i∂j(e−ihv)−hje−ihv=e−ihi∂jvi\partial_j(e^{-ih}v)-h_j e^{-ih}v=e^{-ih}i\partial_jv. For the second, [xj,hk(D)]=i(∂jhk)(D)[x_j,h_k(D)]=i(\partial_jh_k)(D) and mixed derivatives of hh commute. Every QjDkQ_jD_k is an admissible first-order operator: its principal symbol is (xj−Hj(ξ))ξk(x_j-H_j(\xi))\xi_k.

For ∣α∣=∣β∣=a|\alpha|=|\beta|=a, the operator DβQαD^\beta Q^\alpha is a finite linear combination of words of length at most aa in the QjDkQ_jD_k, and the identity. To see this without assuming commutativity, pair the aa labels from QαQ^\alpha with those of DβD^\beta and form a product of these pairs. Moving all DD's to the left using QjDk=DkQj+iδjkQ_jD_k=D_kQ_j+i\delta_{jk} gives DβQαD^\beta Q^\alpha plus terms with one fewer DD and one fewer QQ. Induction proves the claim.

Each resulting distribution has compact support because the word is proper and uu is compact. Its local bound (G4) is therefore a global bound: take a compact cutoff equal to one on its support. Using P3 and ∣e−ih∣=1|e^{-ih}|=1, its dyadic estimate is

∫R/2<∣ξ∣<2R∣ξβ∂αv(ξ)∣2 dξ≤CαβR2m+n/2,R≥2.(G15) \int_{R/2<|\xi|<2R} |\xi^\beta\partial^\alpha v(\xi)|^2\,d\xi \le C_{\alpha\beta}R^{2m+n/2},\qquad R\ge2. \tag{G15}

A fixed annulus meets only finitely many dyadic blocks, so powers of two are not required. On that annulus ∑∣β∣=a∣ξβ∣2≥caR2a\sum_{|\beta|=a}|\xi^\beta|^2\ge c_aR^{2a}, as follows by expanding (∑jξj2)a(\sum_j\xi_j^2)^a. Consequently

∫R/2<∣ξ∣<2R∣∂αv∣2≤CαR2r+n−2∣α∣.(G16) \int_{R/2<|\xi|<2R}|\partial^\alpha v|^2 \le C_\alpha R^{2r+n-2|\alpha|}. \tag{G16}

Put vR(η)=R−rv(Rη)v_R(\eta)=R^{-r}v(R\eta). Changing variables gives

∫1/2<∣η∣<2∣∂ηαvR∣2 dη≤Cα,(G17) \int_{1/2<|\eta|<2}|\partial_\eta^\alpha v_R|^2\,d\eta \le C_\alpha, \tag{G17}

because the power is −2r+2∣α∣−n+2r+n−2∣α∣=0-2r+2|\alpha|-n+2r+n-2|\alpha|=0. Cover the unit sphere by finitely many balls whose larger concentric balls lie in this annulus. P1's local frequency Sobolev estimate applied to each derivative of vRv_R makes that derivative bounded on the smaller balls. Scaling back gives (G1).

The Fourier transform of a compact distribution is smooth with polynomially bounded derivatives. Here is the needed proof, without a dependency on the later tangent lesson. Choose a compact smooth cutoff χ\chi equal to one near its support. A fixed finite-order distribution bound controls its pairing with any test supported in supp⁡χ\operatorname{supp}\chi by the supremum of that test's derivatives through some order MM. Apply it to χ(x)(−ix)αe−ix⋅ξ\chi(x)(-ix)^\alpha e^{-ix\cdot\xi}. On this fixed compact set the bound is Cα⟨ξ⟩MC_\alpha\langle\xi\rangle^M. Taylor's formula in the parameter ξ\xi, applied also to every test derivative through order MM, justifies differentiating the pairing, successively for every α\alpha. Thus the Fourier transform has all the asserted derivatives and bounds. Low frequencies cause no difficulty. Finally He−hH_e-h is Schwartz. Repeated chain and product rules give ei(He−h)−1∈S−∞e^{i(H_e-h)}-1\in S^{-\infty}, since each nonzero derivative contains a derivative of that Schwartz difference, while the zeroth order uses eit−1=it∫01eist dse^{it}-1=it\int_0^1e^{ist}\,ds. Multiplication by this factor preserves SrS^r. Therefore eiHeu^∈Sre^{iH_e}\widehat u\in S^r.

Reverse proof. Let u=F−1(e−iHeb)u=\mathcal F^{-1}(e^{-iH_e}b), with b∈Srb\in S^r. G8 shows that every compact localization has Fourier transform equal to e−iHee^{-iH_e} times an SrS^r symbol. Its squared Fourier mass in an annulus of radius RR is bounded by CR2r+nCR^{2r+n}. Thus it lies in B−r−n/2=B−m−n/4B^{-r-n/2}=B^{-m-n/4}, including when the order is negative.

We must preserve that amplitude order under every admissible operator, not just the displayed generators. Work on a fixed output compact set. P2 gives a left symbol p(x,θ)p(x,\theta) of order one after output localization; a smoothing remainder contributes a smooth function. For large θ\theta, put

p0(θ)=p(H′(θ),θ),bj(x,θ)=∫01(∂xjp)(H′(θ)+t(x−H′(θ)),θ) dt.(G18) p_0(\theta)=p(H'(\theta),\theta),\qquad b_j(x,\theta)=\int_0^1 (\partial_{x_j}p)(H'(\theta)+t(x-H'(\theta)),\theta)\,dt. \tag{G18}

The restriction assumption gives p0∈S0p_0\in S^0. All bjb_j belong locally to S1S^1: H′H' is degree zero and each of its frequency derivatives lowers degree by one; repeated differentiation under the compact tt-integral gives the required estimates. The fundamental theorem of calculus yields the exact identity

p(x,θ)=p0(θ)+∑j(xj−Hj(θ))bj(x,θ).(G19) p(x,\theta)=p_0(\theta)+ \sum_j(x_j-H_j(\theta))b_j(x,\theta). \tag{G19}

For the phase ϕ=x⋅θ−H(θ)\phi=x\cdot\theta-H(\theta), (xj−Hj)eiϕ=(1/i)∂θjeiϕ(x_j-H_j)e^{i\phi}=(1/i)\partial_{\theta_j}e^{i\phi}. Integration by parts therefore changes the amplitude pbpb into

d(x,θ)=p0(θ)b(θ)+i∑j∂θj(bj(x,θ)b(θ)).(G20) d(x,\theta)=p_0(\theta)b(\theta) +i\sum_j\partial_{\theta_j}(b_j(x,\theta)b(\theta)). \tag{G20}

Every term is of order rr, with the written matrix factor order unchanged. Insert a compact output cutoff and use G8 to remove its base dependence. Compact-frequency differences are smooth. This proves that the localized PuPu again has the form F−1(e−iHeSr)\mathcal F^{-1}(e^{-iH_e}S^r).

For completeness, proper support makes this local argument iterable. For a chosen output compact set and a fixed finite word, successively choose input cutoffs equal to one on the compact kernel projections needed for the next factor. Terms outside these cutoffs vanish on the working output set; off-diagonal smoothing terms have the same smooth conclusion by P2. At each step G8 supplies the localized graph amplitude of the same order. Induction on word length gives (G4). This proves both the reverse implication and the noncompact local assertion. ∎

The exact annular rescaling in the graph criterion

For n=1n=1, take H(ξ)=aξH(\xi)=a\xi and b(ξ)=χ(ξ)ξb(\xi)=\chi(\xi)\xi, where χ=0\chi=0 for ξ≤1\xi\le1 and χ=1\chi=1 for ξ≥2\xi\ge2. On every positive annulus R≤ξ≤2RR\le\xi\le2R, R≥2R\ge2, the amplitude is exactly ξ\xi. The three curves in the right panel are all R−1b(Rη)=ηR^{-1}b(R\eta)=\eta, and their squared integral is 7/37/3. The corresponding unscaled squared integral is 7R3/37R^3/3. This is the exact cancellation of powers in (G16)–(G17), illustrated for r=1r=1, not a numerical substitute for the proof.

5. What localization does and does not establish

An ordinary proper A∈Ψ0A\in\Psi^0, including a matrix-valued one, preserves the class (G4). If LL is admissible, then C=[L,A]∈Ψ1C=[L,A]\in\Psi^1 is admissible as well. Its order-one principal symbol is the matrix commutator of the order-one symbol of LL and the order-zero symbol of AA, so it vanishes on the graph. All frequency-derivative terms are lower order. This does not assert that the matrix commutator has order zero.

Here is the word induction. P1 supplies the assertion for a word of length zero. For a word W=L1⋯LN−1W=L_1\cdots L_{N-1}, write

WLNAu=WA(LNu)+W[LN,A]u.(G21) WL_NAu=WA(L_Nu)+W[L_N,A]u. \tag{G21}

The first term is controlled by the induction hypothesis, since LNuL_Nu itself satisfies (G4); the second is already an admissible word of length NN. No commutator of two matrix first-order operators has been inserted. Smooth multiplication is the special case needed for compactly supported receivers.

G12 is a theorem for a specified frequency graph. The complete geometric coordinate proof, C0–C5 now supplies such a graph near any nonzero point of a conic Lagrangian, using a base diffeomorphism. The complete coordinate and directional-localization proofs, T0–W5 transport both the intrinsic word condition and its wavefront set, and construct proper compact microlocal cutoffs. They also prove that the word condition forces wavefront into the Lagrangian. The complete conic inverse and localization proof, K0–K7 now supplies the converse for arbitrary elliptic tests, finite conic reconstruction, and independence of sufficiently small cutoffs and Lagrangian extensions. Its matrix proof retains the original factor order and every symbol remainder on one fixed cone.

The prescribed-phase proof, F0–F7 uses this graph criterion to prove both directions for a given ordinary nondegenerate or clean phase. It supplies the excess correction, the amplitude construction to every order, and the lower-order criteria. Thus the intrinsic definition is retained throughout. The full original lesson's example and exercise coverage, the global principal-symbol and Maslov interpretation, and the remaining course retain their separate outstanding obligations.

6. Three exercises with complete solutions

1. Check the shift. Why is the symbol order in G12 m−n/4m-n/4?

Solution. An amplitude of order rr has squared annular energy bounded by R2r+nR^{2r+n}. Multiplication of the block norm by R−m−n/4R^{-m-n/4} is bounded at the critical exponent exactly when r+n/2=m+n/4r+n/2=m+n/4, or r=m−n/4r=m-n/4. For a point mass the Fourier amplitude is constant, so r=0r=0, m=n/4m=n/4 and the endpoint is B−n/2B^{-n/2}. Its H−n/2H^{-n/2} norm diverges because every large dyadic block contributes a fixed positive amount to the squared norm.

2. Verify a balanced word. In one dimension set T=QDT=QD and assume [Q,D]=i[Q,D]=i. Express D2Q2D^2Q^2 in terms of TT.

Solution. DQ=T−iDQ=T-i. Also DQ2=Q2D−2iQDQ^2=Q^2D-2iQ, so D2Q2=Q2D2−4iQD−2D^2Q^2=Q^2D^2-4iQD-2. On the other hand T2=QDQD=Q2D2−iQDT^2=QDQD=Q^2D^2-iQD. Substituting gives D2Q2=T2−3iT−2D^2Q^2=T^2-3iT-2. This checks both the shorter identity term and the sign in the reordering used for (G15).

3. Explain why an arbitrarily small Sobolev loss is insufficient. For n=1n=1, take disjoint dyadic bumps b(ξ)=∑j≥2j ψ(2−jξ)b(\xi)=\sum_{j\ge2}j\,\psi(2^{-j}\xi), where ψ∈Cc∞((1,3/2))\psi\in C_c^\infty((1,3/2)) is nonzero. Show that this smooth polynomially bounded amplitude is not S0S^0, although its inverse Fourier transform and all words in xDxD lie in H−1/2−ϵH^{-1/2-\epsilon} for every ϵ>0\epsilon>0.

Solution. On the jj-th support, differentiation kk times is bounded by Ckj2−jkC_kj2^{-jk}. Its peak grows like jj, so the zeroth symbol estimate of order zero fails. Applying xDxD replaces the Fourier amplitude by i∂ξ(ξb)i\partial_\xi(\xi b). Every fixed word therefore replaces ψ\psi by a fixed finite sum of its derivatives times powers of its argument, retaining the factor jj and the support scale 2j2^j. Its weighted squared Fourier integral is at most C∑jj22−2jϵ<∞C\sum_j j^2 2^{-2j\epsilon}<\infty. To verify convergence, the ratio of successive terms tends to 2−2ϵ<12^{-2\epsilon}<1, so a geometric series bounds the tail. In contrast, the endpoint annular sequence for the empty word is a nonzero constant times jj, hence unbounded. The lost endpoint cannot recover the missing S0S^0 bound. This example uses H=0H=0, so no frequency phase conceals the failure.

Free human sources and derivation

Lars Hörmander, Fourier integral operators. I, Acta Mathematica 127 (1971), pp. 150–154, supplies the free primary-source stationary-testing route. G8 gives the exact graph specialization using the already proved AN04-U001 parameter estimates, including the noncompact-frequency tail. The dyadic derivative argument in G12 is developed from the selected earlier programme conormal proof and the explicit identities (G14)–(G17). The free article is distinct from any paid book.

Jared Wunsch's version 3 lecture notes, Section 8.2, Proposition 8.6, provide a freely accessible comparison for iterated regularity. They expressly leave the precise order relationship aside. They are not the proof of the endpoint theorem here. Their classical-amplitude definition is not silently substituted for the ordinary-symbol class in G12.

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