Scalar collar tests with all tangential directions allowed

A compact boundary can have every base point covered while the allowed cone omits normal covector directions. We construct one scalar test for the complete collar-input part of a finite-order family when the cone contains every nonzero tangential boundary covector. The construction keeps full residual kernels and the original Banach remainder. Its positive regularizer is an explicit sum of Gaussian normal-frequency windows and finite tangential Fourier projections.

The context is Hörmander's boundary calculus and observation estimates in The Analysis of Linear Partial Differential Operators III, §§18.3 and24.7. The proofs here are independent exposition with exact earlier programme providers in the proof map. Original expression, examples and diagram: GPT-6.1 Sol (OpenAI); CC0-1.0. Linked human foundations retain their recorded terms. For the whole-manifold and complementary angular constructions, see whole-manifold tangential-equator assembly and global scalar assembly and observation.

1. Precise collar scope

H0. The allowed tangential directions. Let XX have compact smooth boundary YY of dimension d≥1d\geq1. Let Γ⊂Tb∗X∖0\Gamma\subset T_b^*X\setminus0 be open and conic. In a collar, write a covector as κ dx/x+η\kappa\,dx/x+\eta. Assume

{(0,y;0,η):y∈Y, η≠0}⊂Γ.(TC1) \{(0,y;0,\eta):y\in Y,\ \eta\ne0\}\subset\Gamma. \tag{TC1}

Let Tℓ,aT_{\ell,a} be a finite number of bounded families in Ψbm(X)\Psi_b^m(X), with common compact physical projections and uniform full microsupport in a compact normalized conic set K⋐ΓK\Subset\Gamma. Let DaD_a be a bounded family of smooth differential operators of order at most qq on the relevant compact input region. Let B\mathcal B be a Banach space continuously embedded in extendible distributions. All residual seminorms are full, including both side faces and every cross-chart or cross-component kernel.

We shall find a fixed cutoff χ∗\chi_*, equal to one near the entire boundary, an integer s≥max⁡(m,2)s\geq\max(m,2), a scalar A∈Ψbs(X)A\in\Psi_b^s(X) with compact physical projections and microsupport compactly contained in Γ\Gamma, and a constant CC such that, on actual smooth inputs,

∥Tℓ,aχ∗Dau∥2≤C(∥ADau∥2+∥u∥B)for every ℓ,a.(TC2) \|T_{\ell,a}\chi_*D_au\|_2 \leq C\bigl(\|AD_au\|_2+\|u\|_{\mathcal B}\bigr) \qquad\text{for every }\ell,a. \tag{TC2}

The differential operator on the right has that same parameter aa. For a common DD, one may take the supremum of the left norms with that fixed DD on both sides. No density of a larger completed graph is assumed.

C0. A product cone and actual densities. Use the full collar construction GRF:C0 and fix a norm on its compressed covectors. The compact boundary set K∩{x=0}K\cap\{x=0\}, together with the normalized tangential equator in (TC1), has nested conic neighborhoods C0⋐C1\mathcal C_0\Subset\mathcal C_1 over YY. After shrinking the collar, [0,b1]×C1‾⊂Γ[0,b_1]\times\overline{\mathcal C_1}\subset\Gamma, and the part of KK over this collar lies in C0\mathcal C_0. To check the latter assertion, a contrary sequence has xj→0x_j\to0 and, by compactness of the normalized fibers and YY, a convergent subsequence whose limit lies in K∩{x=0}K\cap\{x=0\}, outside its chosen open neighborhood. This is impossible. Finite coordinate and angular cutoffs are supplied by U001-A4.

Write the density as w(x,y) dx dν(y)w(x,y)\,dx\,d\nu(y) and set

(Uf)(v,y)=ev/2w(ev,y)1/2f(ev,y),v=log⁡x.(TC3) (Uf)(v,y)=e^{v/2}w(e^v,y)^{1/2}f(e^v,y),\qquad v=\log x. \tag{TC3}

It is unitary by substitution. Choose a>0a>0 with 4a<b14a<b_1, and real normal cutoffs with values in [0,1][0,1]: χ∗=1\chi_*=1 near zero, supported below a/2a/2; χ=1\chi=1 below aa, supported below 2a2a; and β=1\beta=1 below 3a3a, supported below 4a4a. In particular the output cutoff β\beta is one on a neighborhood of the entire input support of χ\chi. These cutoffs are fixed before choosing the regularizer.

2. A positive cylinder operator and its parameter estimate

Q0. A genuine translation-invariant model. Choose an integer r≥1r\geq1 with s=2r≥ms=2r\geq m. Finite scalar symbols bi(y,κ,η)b_i(y,\kappa,\eta) of joint order rr, supported in C1\mathcal C_1, have homogeneous leading terms whose squared sum is positive on C0‾\overline{\mathcal C_0}. Real nonnegative angular cutoffs and the radial factor ∣(κ,η)∣r|(\kappa,\eta)|^r, with a smooth low-frequency cutoff, construct them explicitly as in GFR:A0. They are independent of vv.

Quantize in (v,y)(v,y), with the finite tangential chart cutoffs retained. Multiply each kernel by a fixed smooth function of h=v−v′h=v-v', compactly supported and one near zero. This changes its full symbol by a joint Schwartz symbol: away from the full diagonal the ordinary conormal kernel is smooth; arbitrarily many joint frequency integrations by parts give integrable bounds after every derivative, also at large ∣h∣|h|. The full compact-amplitude calculus P2:OP3–OP6 proves this statement with the actual remainders. The resulting BiB_i are still translation invariant in vv. Put

Q=∑iBi∗Bi,Qκ=∑iBi(κ)∗Bi(κ).(TC4) Q=\sum_iB_i^*B_i,\qquad Q_\kappa=\sum_iB_i(\kappa)^*B_i(\kappa). \tag{TC4}

The adjoints use dv dνdv\,d\nu. Thus QκQ_\kappa is symmetric and nonnegative on smooth functions for every real κ\kappa. Its joint principal symbol is ∑i∣bi∣2\sum_i|b_i|^2; it has full joint order ss, is elliptic on C0\mathcal C_0, and has microsupport in C1\mathcal C_1. Its normal-difference kernel is compactly supported. Full products and adjoints retain every lower term. After (TC3), compact physical input and output cutoffs make this an actual member of the boundary calculus: compact hh keeps the ratio away from both side ends, while the conormal kernel at h=0h=0 is the exact local boundary kernel. This uses GB:C1, not a claim that a bounded inverse belongs to that calculus.

Q1. Uniform high tangential frequencies. Write λ=⟨κ⟩\lambda=\langle\kappa\rangle. Because the tangential equator lies in the elliptic region, there are constants c,C0>0c,C_0>0 with qs(y,κ,η)≥c∣η∣sq_s(y,\kappa,\eta)\geq c|\eta|^s for ∣η∣≥C0λ|\eta|\geq C_0\lambda. Let J:HY→H=⨁iL2(Td)J:H_Y\to\mathcal H=\bigoplus_iL^2(\mathbb T^d) be the exact atlas isometry GRF:J0, and use its fixed chart Sobolev norm. Then

∥Jf∥Hs(H)≤CE(∥Qκf∥2+λs∥f∥2).(TC5) \|Jf\|_{H^s(\mathcal H)}\leq C_E \bigl(\|Q_\kappa f\|_2+\lambda^s\|f\|_2\bigr). \tag{TC5}

Here is the full parameter argument. On ∣η∣≥C0λ|\eta|\geq C_0\lambda, take the reciprocal homogeneous symbol times a cutoff one for ∣η∣≥2C0λ|\eta|\geq2C_0\lambda. It has joint order −s-s. Apply the ordered ordinary product expansion to cancel the high-frequency product error through at least ss successive negative orders. Every division stays inside the elliptic region. Derivatives of the transition cutoff are supported where ∣η∣|\eta| is bounded above and below by fixed multiples of λ\lambda; the joint symbol estimates remain uniform. A finite chart partition and its full commutators give f=EκQκf+Lκf+Fκff=E_\kappa Q_\kappa f+L_\kappa f+F_\kappa f, where Eκ,FκE_\kappa,F_\kappa have joint order −s-s, and LκL_\kappa has order zero with tangential frequency support ∣η∣≤Cλ|\eta|\leq C\lambda. Fixed proper-cutoff and separated-chart terms are retained in FκF_\kappa; arbitrarily many integrations by parts put them in the same required negative order uniformly.

Applying the chart Fourier multiplier ⟨η⟩s\langle\eta\rangle^s, the symbols of Eκ,FκE_\kappa,F_\kappa become uniformly order zero in η\eta: ⟨η⟩s⟨(κ,η)⟩−s≤1\langle\eta\rangle^s\langle(\kappa,\eta)\rangle^{-s}\leq1, and the differentiated estimates have the same property. The complete packet bound SY:H9 therefore bounds their maps from L2L^2 to the chart HsH^s norm. The corresponding symbol for LκL_\kappa, divided by λs\lambda^s, is uniformly order zero, since its frequency support has ∣η∣≤Cλ|\eta|\leq C\lambda. The same bound gives its norm at most CλsC\lambda^s. Finite chart Sobolev comparison KS:S3 proves (TC5). This is a finite ordered parametrix proof; it imports no compact-manifold spectral theorem.

F0. A finite Fourier low band. Let Πκ\Pi_\kappa project, in each torus summand of H\mathcal H, onto modes ∣k∣≤Lλ|k|\leq L\lambda. GRF:J0 proves the full product Fourier basis and Parseval. Its tail estimate and (TC5) give

∥f∥2≤∥ΠκJf∥2+CEL−sλ−s∥Qκf∥2+CEL−s∥f∥2.(TC6) \|f\|_2\leq\|\Pi_\kappa Jf\|_2+ C_E L^{-s}\lambda^{-s}\|Q_\kappa f\|_2+C_E L^{-s}\|f\|_2. \tag{TC6}

Choose L≥1L\geq1 once so that CEL−s≤1/2C_E L^{-s}\leq1/2. Absorption supplies a fixed Ce≥1C_e\geq1 with

∥f∥2≤Ce(∥ΠκJf∥2+λ−s∥Qκf∥2).(TC7) \|f\|_2\leq C_e\bigl(\|\Pi_\kappa Jf\|_2+ \lambda^{-s}\|Q_\kappa f\|_2\bigr). \tag{TC7}

Only finite torus projections occur. For an integer nn, let PnP_n be the orthogonal projection in H\mathcal H onto modes ∣k∣≤Nn=⌈2L⟨n⟩⌉|k|\leq N_n=\lceil2L\langle n\rangle\rceil. If ∣κ−n∣≤1/2|\kappa-n|\leq1/2, then λ≤2⟨n⟩\lambda\leq2\langle n\rangle, so Pn≥ΠκP_n\geq\Pi_\kappa. Each J∗PnJJ^*P_nJ is positive, a contraction, and finite rank. Its smooth-kernel seminorm of total derivative order bb is at most Cb(1+∣n∣)d+bC_b(1+|n|)^{d+b}: count the lattice points in the radius-NnN_n ball, differentiate its finite Fourier sum, and include the fixed chart and density factors. It need not be an orthogonal projection on HYH_Y.

3. Determine all residual data before the regularizer

R0. The complete right comparison is fixed first. Set Qc=U−1βQUχQ_c=U^{-1}\beta Q U\chi, extended by zero outside the collar. This is a scalar full boundary operator of order ss, elliptic on the full microsupport of Tℓ,aχ∗T_{\ell,a}\chi_* after the choices in C0. Its principal symbol is the nonnegative product βχqs\beta\chi q_s. Use the complete localized parametrix construction GB:E1–E3, with larger cutoffs inside its elliptic region, to obtain

Tℓ,aχ∗=Cℓ,aQc+Rℓ,a,sup⁡ℓ,a∥Cℓ,a∥L2→L2<∞.(TC8) T_{\ell,a}\chi_*=C_{\ell,a}Q_c+R_{\ell,a},\qquad \sup_{\ell,a}\|C_{\ell,a}\|_{L^2\to L^2}<\infty. \tag{TC8}

Indeed take a fixed left parametrix EE for QcQ_c near that microsupport, put Cℓ,a=Tℓ,aχ∗EC_{\ell,a}=T_{\ell,a}\chi_*E, and retain R=Tχ∗(I−EQc)R=T\chi_*(I-EQ_c). The first order is m−s≤0m-s\leq0; GB:H1 gives its full uniform norm. The complete recursion, its asymptotic sum and the rapid bounds off KK give every residual seminorm uniformly, exactly as GFR:A1–A2. Proper, low-frequency, rectangular and cross-component kernels all remain in RR. Formal positivity of QcQ_c is not required by this reciprocal construction. Thus neither the remainder nor its normal jets depends on the regularizer still to be chosen.

R1. Finitely many exact jets suffice. The flat-test proof NGR:B1–B2 supplies an integer MM on the fixed compact input set. Choose N≥M+q+2N\geq M+q+2. Apply NFE:J0–J2 and T0 to the bounded full remainder in (TC8), using the fixed input cutoff χ\chi of C0 in its jet operator. There are smooth full normal model kernels rj,ℓ,a(κ):HY→HYr_{j,\ell,a}(\kappa):H_Y\to H_Y, 0≤j<N0\leq j<N, rapidly decreasing with all normal-frequency and tangential derivatives, and a fixed compact output cutoff β0\beta_0, such that

∥Rℓ,aDau−U−1β0(x)∑j<Nxjrj,ℓ,a(Dv)UχDau∥2≤C∥u∥B.(TC9) \left\|R_{\ell,a}D_au- U^{-1}\beta_0(x)\sum_{j<N}x^j r_{j,\ell,a}(D_v)U\chi D_au\right\|_2 \leq C\|u\|_{\mathcal B}. \tag{TC9}

This is the exact full-kernel Taylor division proved there, followed by its output-weighted residual estimate. It does not discard a corner kernel. The output powers xjx^j are bounded on the fixed support of β0\beta_0. We next construct one model controlling this entire finite collection of bounded families.

4. A positive Gaussian regularizer with the correct low band

G0. A slow sequence with a uniform ratio bound. Define a nonnegative sequence

an=e−∣n∣+sup⁡j<N,ℓ,a, ∣κ−n∣≤1∥rj,ℓ,a(κ)∥,cn=∑l∈Ze−∣n−l∣al.(TC10) a_n=e^{-|n|}+ \sup_{j<N,\ell,a,\ |\kappa-n|\leq1}\|r_{j,\ell,a}(\kappa)\|, \qquad c_n=\sum_{l\in\mathbb Z}e^{-|n-l|}a_l. \tag{TC10}

Both sequences decrease faster than every polynomial; the residual bounds prove this for ana_n. For the convolution use ⟨n⟩b≤Cb⟨n−l⟩b⟨l⟩b\langle n\rangle^b\leq C_b\langle n-l\rangle^b\langle l\rangle^b, followed by the summability of exponentially weighted powers and sufficiently many powers in ala_l. The sequence cnc_n is strictly positive, dominates ana_n, and satisfies

e−∣n−l∣cl≤cn≤e∣n−l∣cl.(TC11) e^{-|n-l|}c_l\leq c_n\leq e^{|n-l|}c_l. \tag{TC11}

This follows term by term from the triangle inequality for the absolute values in the exponential; it is not an assumption that a general Schwartz sequence has comparable neighboring entries.

G1. The full regularizer kernel is explicit. Before scaling, set

p0(κ)=∑ncne−(κ−n)2,Sκ0=∑ncne−(κ−n)2J∗PnJ.(TC12) p_0(\kappa)=\sum_n c_n e^{-(\kappa-n)^2},\qquad S^0_\kappa=\sum_n c_n e^{-(\kappa-n)^2}J^*P_nJ. \tag{TC12}

All series converge after every frequency derivative and in every smooth tangential-kernel seminorm. To check rapid decay, use ⟨κ⟩b≤Cb⟨n⟩b⟨κ−n⟩b\langle\kappa\rangle^b\leq C_b\langle n\rangle^b\langle\kappa-n\rangle^b; derivatives of the Gaussian are polynomials times that Gaussian, and F0 bounds the finite kernel polynomially in nn. Summing a sufficiently rapid power of cnc_n proves every required bound. Replacing κ\kappa by a complex zz gives locally uniformly convergent differentiated series, since ∣e−(z−n)2∣=e(Im⁡z)2e−(Re⁡z−n)2|e^{-(z-n)^2}|=e^{(\operatorname{Im}z)^2}e^{-(\operatorname{Re}z-n)^2}. These same estimates work on each fixed horizontal strip.

More directly, the exact inverse normal Fourier kernel is

s0(h;y,y′)=e−h2/42π∑ncneinh(J∗PnJ)(y,y′).(TC13) s^0(h;y,y')=\frac{e^{-h^2/4}}{2\sqrt\pi} \sum_n c_n e^{inh}(J^*P_nJ)(y,y'). \tag{TC13}

The Gaussian normalization follows from U001:P21.5 by scaling. For its Fourier formula, differentiate I(h)=∫e−κ2eihκ dκI(h)=\int e^{-\kappa^2}e^{ih\kappa}\,d\kappa and integrate once by parts to obtain I′=−hI/2I'=-hI/2, with I(0)=πI(0)=\sqrt\pi; hence I(h)=πe−h2/4I(h)=\sqrt\pi e^{-h^2/4}. Translation gives the factor einhe^{inh}, and the inverse factor (2π)−1(2\pi)^{-1} gives (TC13). Every differentiated periodic kernel series in (TC13) is bounded, by the polynomial bound for PnP_n and the rapid sequence cnc_n. The Gaussian therefore gives arbitrary exponential hh decay after every derivative. By the full density/ratio formula NFE:J1, fixed compact physical cutoffs make U−1S0(Dv)UU^{-1}S^0(D_v)U a genuine full residual. Compact support in hh is unnecessary; neither side tail is omitted.

G2. Comparable scalar mass on the entire weak band. Choose a nearest integer nn to κ\kappa, and put

CG=1+2∑l=1∞el−(l−1/2)2<∞,c∗=e−1/4/CG>0.(TC14) C_G=1+2\sum_{l=1}^{\infty}e^{l-(l-1/2)^2}<\infty, \qquad c_*=e^{-1/4}/C_G>0. \tag{TC14}

The term nn and (TC11) give e−1/4cn≤p0(κ)≤CGcne^{-1/4}c_n\leq p_0(\kappa)\leq C_Gc_n. The upper estimate uses ∣κ−(n+l)∣≥∣l∣−1/2|\kappa-(n+l)|\geq |l|-1/2 for ∣l∣≥1|l|\geq1; the central term is at most cnc_n. The scalar series converges because its exponent is −l2+2l−1/4-l^2+2l-1/4.

For real κ\kappa, all weights are positive. F0 gives Pn≥ΠκP_n\geq\Pi_\kappa, and therefore

0≤Sκ0≤p0(κ)I,⟨Sκ0f,f⟩≥c∗p0(κ)∥ΠκJf∥22.(TC15) 0\leq S^0_\kappa\leq p_0(\kappa)I,\qquad \langle S^0_\kappa f,f\rangle \geq c_*p_0(\kappa)\|\Pi_\kappa Jf\|_2^2. \tag{TC15}

Here the lower comparison is a quadratic-form comparison, with JJ explicitly retained. Choose a fixed δ>0\delta>0 small enough that, for p=δp0p=\delta p_0 and Sκ=δSκ0S_\kappa=\delta S^0_\kappa,

0<p(κ)≤min⁡(1,(2Ce)−1).(TC16) 0<p(\kappa)\leq\min(1,(2C_e)^{-1}). \tag{TC16}

Such a choice exists since the scalar Gaussian sum is bounded. Both inequalities in (TC15) hold with S,pS,p. Also (TC10) and the nearest term show, uniformly in all prescribed residual families,

∥rj,ℓ,a(κ)∥≤an≤cn≤e1/4δ−1p(κ).(TC17) \|r_{j,\ell,a}(\kappa)\|\leq a_n\leq c_n \leq e^{1/4}\delta^{-1}p(\kappa). \tag{TC17}

Thus the regularizer controls the full weak band with a fixed fraction of its scalar norm, while that same scalar norm dominates every required jet.

5. One scalar normal model controls both parts

E0. A norm estimate, not just a quadratic-form statement. Set Aκ=Qκ+iSκA_\kappa=Q_\kappa+iS_\kappa. Write F=∥f∥2F=\|f\|_2, t=∥Aκf∥2t=\|A_\kappa f\|_2, and z=∥ΠκJf∥2z=\|\Pi_\kappa Jf\|_2. Since QκQ_\kappa is symmetric, (TC15) implies

c∗pz2≤Im⁡⟨Aκf,f⟩≤tF.(TC18) c_*p z^2\leq\operatorname{Im}\langle A_\kappa f,f\rangle\leq tF. \tag{TC18}

The inner product is linear in its first entry. Moreover ∥Qκf∥≤t+pF\|Q_\kappa f\|\leq t+pF. Insert this into (TC7), use λ−s≤1\lambda^{-s}\leq1, and absorb (TC16) to get F≤C1(z+t)F\leq C_1(z+t), where C1=2CeC_1=2C_e. Weighted Cauchy–Schwarz, or completing a square, now gives

F≤C1tF/(c∗p)+C1t≤12F+C122c∗pt+C1t.(TC19) F\leq C_1\sqrt{tF/(c_*p)}+C_1t \leq\tfrac12F+\frac{C_1^2}{2c_*p}t+C_1t. \tag{TC19}

Put C2=C12/c∗+2C1C_2=C_1^2/c_*+2C_1. Since p≤1p\leq1, the resulting estimates are

p∥f∥2≤C2∥Aκf∥2,∥Sκf∥2≤C2∥Aκf∥2,∥Qκf∥2≤(1+C2)∥Aκf∥2.(TC20) p\|f\|_2\leq C_2\|A_\kappa f\|_2,\quad \|S_\kappa f\|_2\leq C_2\|A_\kappa f\|_2,\quad \|Q_\kappa f\|_2\leq(1+C_2)\|A_\kappa f\|_2. \tag{TC20}

Combining the first inequality with (TC17) gives the same kind of uniform bound for every rj,ℓ,a(κ)fr_{j,\ell,a}(\kappa)f. No inverse of AκA_\kappa, its frequency derivatives, surjectivity theorem or unbounded selfadjoint realization has been assumed. The calculation is on smooth functions, where every term and the exact positivity identity are defined.

E1. Plancherel gives the whole normal-variable estimate. Let A0(Dv)=Q+iS(Dv)A_0(D_v)=Q+iS(D_v). Apply (TC20) and (TC17) to g^(κ)\widehat g(\kappa), square and integrate, and use the complete Hilbert-valued Plancherel theorem SY:H1. For smooth Schwartz g(v,y)g(v,y), this gives

∥Qg∥2+∥S(Dv)g∥2+sup⁡j,ℓ,a∥rj,ℓ,a(Dv)g∥2≤C∥A0(Dv)g∥2.(TC21) \|Qg\|_2+\|S(D_v)g\|_2+ \sup_{j,\ell,a}\|r_{j,\ell,a}(D_v)g\|_2 \leq C\|A_0(D_v)g\|_2. \tag{TC21}

For each fixed multiplier the same uniform constant follows before taking the supremum; no interchange of a supremum with the integral is asserted. The finite sum over the NN jet indices is bounded by NN times this constant. The compact physical output powers in (TC9) therefore preserve the estimate. The smooth input g=UχDaug=U\chi D_au is Schwartz in vv, including when uu is nonzero at the boundary: every normal derivative has the factor ev/2e^{v/2} times bounded smooth functions of ev,ye^v,y. This is the exact domain check GRF:C0.

6. A compact physical scalar test

A0. The test belongs to the prescribed full calculus. Define

A=U−1β(x) [Q+iS(Dv)] Uχ(x).(TC22) A=U^{-1}\beta(x)\,[Q+iS(D_v)]\,U\chi(x). \tag{TC22}

Q0 proves that its finite-order part is a full boundary operator of order ss; G1 proves that the added term is a full residual. The exact density factors are those in (TC3) and NFE:J1. Both physical projections are compact. The finite-order microsupport is in [0,4a]×C1‾⋐Γ[0,4a]\times\overline{\mathcal C_1}\Subset\Gamma, and the residual adds no microsupport. This is a single scalar test on the original XX. It does not enlarge the allowed cone or add output components.

A1. The omitted model output has a genuine Banach bound. Let g=UχDaug=U\chi D_au. Outside the region where β=1\beta=1, the output logarithmic coordinate satisfies v≥log⁡(3a)v\geq\log(3a), while the input has x′≤2ax'\leq2a. Hence h=v−log⁡x′≥log⁡(3/2)>0h=v-\log x'\geq\log(3/2)>0. The full model kernel kA(h;y,y′)k_A(h;y,y') is smooth there: the only conormal diagonal of QQ has h=0h=0; its hh support is compact; and G1 supplies every exponential tail for SS. For every derivative order and every L0>0L_0>0, its derivatives on this separated region are bounded by CL0e−L0hC_{L_0}e^{-L_0h}.

For a fixed output v,yv,y, relative to the physical input density, the exact test pairing with DauD_au has coefficient

ϕv,y(x′,y′)=(x′)−1/2w(x′,y′)−1/2χ(x′)kA(v−log⁡x′;y,y′).(TC23) \phi_{v,y}(x',y')=(x')^{-1/2}w(x',y')^{-1/2} \chi(x')k_A(v-\log x';y,y'). \tag{TC23}

The power follows from dv′=dx′/x′dv'=dx'/x' and the input factor (x′)1/2w1/2(x')^{1/2}w^{1/2} in UU. After transposing DaD_a and taking the fixed MM flat-test derivatives, the kernel estimate gives

pM(Datϕv,y)≤Ce−L0vsup⁡0<x′≤2a(x′)L0−1/2−M−q.(TC24) p_M(D_a^t\phi_{v,y}) \leq C e^{-L_0v}\sup_{0<x'\leq2a}(x')^{L_0-1/2-M-q}. \tag{TC24}

Choose L0>M+q+1/2L_0>M+q+1/2. The test is smooth, flat at x′=0x'=0, compact in input, and the supremum is finite. NGR:B1–B2 thus bounds its pairing by Ce−L0v∥u∥BCe^{-L_0v}\|u\|_{\mathcal B}. Squaring and integrating over v≥log⁡(3a)v\geq\log(3a) and compact YY gives

∥(1−β(ev))A0(Dv)g∥2≤C∥u∥B,∥A0(Dv)g∥2≤∥ADau∥2+C∥u∥B.(TC25) \|(1-\beta(e^v))A_0(D_v)g\|_2\leq C\|u\|_{\mathcal B},\qquad \|A_0(D_v)g\|_2\leq\|AD_au\|_2+C\|u\|_{\mathcal B}. \tag{TC25}

The first integral is on the entire abstract cylinder, including output beyond the physical collar. Its exponential estimate makes that tail integrable; no output density has been extended outside XX. On the supported part, (TC3) identifies its norm exactly with the physical norm in (TC25).

T0. The full scalar collar estimate. Apply (TC8) to DauD_au. The bounded comparison operators and (TC21) control the QcQ_c term by C∥A0UχDau∥2C\|A_0U\chi D_au\|_2. Equations (TC9), (TC17) and (TC21) control the full remainder by the same norm plus C∥u∥BC\|u\|_{\mathcal B}. Finally (TC25) proves (TC2). The choices have no circularity: first fix the cones, cutoffs and QcQ_c; then determine the complete remainders and their finite jets; only then form the sequence, scale and regularizer. Every later constant depends on this one fixed construction and the prescribed bounded families.

S0. The collar-input scope. The input cutoff χ∗\chi_* in (TC2) is part of this theorem. Arbitrary targets also have an interior-input contribution. Adding a collar scalar to an arbitrary interior scalar without checking cancellation does not establish a norm estimate for their sum. The whole-manifold tangential-equator assembly proves the full interior gluing with an actual commutator bound; global scalar assembly and observation treats cones omitting tangential directions and gives the general observation consequence. This component retains its collar-input and full tangential-equator hypotheses. Some prerequisite proofs are external readings identified by the proof index.

7. Three solved examples

X1. A completely explicit moderate sequence. For an=e−∣n∣a_n=e^{-|n|}, the convolution in (TC10) has the exact value

cn=e−∣n∣(∣n∣+1+2e2−1).(TC26) c_n=e^{-|n|}\left(|n|+1+\frac{2}{e^2-1}\right). \tag{TC26}

For n≥0n\geq0, the terms 0≤l≤n0\leq l\leq n contribute (n+1)e−n(n+1)e^{-n}; each outside tail contributes e−n∑j≥1e−2j=e−n/(e2−1)e^{-n}\sum_{j\geq1}e^{-2j}=e^{-n}/(e^2-1). Negative nn follow by symmetry. Thus c0=1+2/(e2−1)c_0=1+2/(e^2-1). The same termwise triangle inequality proves the uniform neighboring ratio bound, including across zero. The nearest Gaussian window makes p0(n+1/2)≥e−1/4max⁡(cn,cn+1)>0p_0(n+1/2)\geq e^{-1/4}\max(c_n,c_{n+1})>0, so no lattice midpoint is a zero. For the circle frame J=IJ=I, each PnP_n projects onto ∣k∣≤⌈2L⟨n⟩⌉|k|\leq\lceil2L\langle n\rangle\rceil; its action and the low-band inequality can be read mode by mode. This example illustrates the complete regularizer construction; target-dependent envelopes use the additional supremum in (TC10).

X2. An angular model that really has both full side tails. Take Y=TY=\mathbb T, choose a real nonnegative smooth ϑ\vartheta equal to one on [−1,1][-1,1], supported in (−2,2)(-2,2), and let r≥1r\geq1. For integer tangential frequency kk, put

b(κ,k)=π−1/2∫e−t2⟨k⟩rϑ((κ−t)/⟨k⟩) dt,q(κ,k)=b(κ,k)2.(TC27) b(\kappa,k)=\pi^{-1/2}\int e^{-t^2}\langle k\rangle^r \vartheta((\kappa-t)/\langle k\rangle)\,dt, \qquad q(\kappa,k)=b(\kappa,k)^2. \tag{TC27}

The Gaussian convolution is positive. Differentiation under its integrable majorants proves joint symbol order rr; Taylor expansion in tt, with its Gaussian tail and all derivatives retained, gives leading symbol ∣η∣rϑ(κ/∣η∣)|\eta|^r\vartheta(\kappa/|\eta|). For precision, expand for ∣t∣≤⟨(κ,η)⟩/2|t|\leq\langle(\kappa,\eta)\rangle/2 with the ordinary integral remainder and integrate its powers against the Gaussian. On the complementary range every power is absorbed by the Gaussian. This proves the lower joint orders after each expansion and every differentiated bound. In any closed cone ∣κ∣≥c∣η∣|\kappa|\geq c|\eta|, c>2c>2, the support condition forces ∣t∣≥c′⟨(κ,η)⟩|t|\geq c'\langle(\kappa,\eta)\rangle outside a fixed compact set; hence that full symbol is rapidly decreasing there. Thus its microsupport lies in ∣κ∣≤2∣η∣|\kappa|\leq2|\eta|, compactly inside the allowed cone ∣κ∣<3∣η∣|\kappa|<3|\eta|, and it is elliptic on ∣κ∣≤∣η∣|\kappa|\leq|\eta| and at the tangential equator.

For the operator-class assertion, first replace kk by real η\eta using ⟨η⟩\langle\eta\rangle, quantize the joint Euclidean symbol, and periodize its tangential-difference kernel. Away from the diagonal, repeated frequency integrations by parts make the periodized tails converge with every derivative. Integrating a Fourier coefficient over one period and tiling the real line recovers exactly b(κ,k)b(\kappa,k); frequency cutoffs and their distributional limit justify this calculation at the conormal diagonal. Thus this mode formula has the asserted ordinary conormal kernel, not only discrete numerical eigenvalues.

Its exact inverse normal Fourier kernel at each kk is e−h2/4⟨k⟩r+1ϑˇ(⟨k⟩h)e^{-h^2/4}\langle k\rangle^{r+1}\check\vartheta(\langle k\rangle h), with ϑˇ\check\vartheta using the factor (2π)−1(2\pi)^{-1}. For ∣h∣≥h0>0|h|\geq h_0>0, repeated integrations by parts in ϑˇ\check\vartheta make every differentiated sum over kk absolutely convergent; the Gaussian supplies all exponential normal weights. Composition gives the same full side property for qq, by the full residual-tail product estimates of the boundary calculus. This is why the Gaussian convolution matters: a merely smooth compact cutoff in κ\kappa would not establish arbitrary exponential hh decay.

Both QκQ_\kappa and the regularizer are diagonal in the circle modes in this example. If sk(κ)s_k(\kappa) is the nonnegative regularizer eigenvalue, then

∣q(κ,k)+isk(κ)∣2=q(κ,k)2+sk(κ)2.(TC28) |q(\kappa,k)+is_k(\kappa)|^2=q(\kappa,k)^2+s_k(\kappa)^2. \tag{TC28}

Parseval therefore gives the exact squared-norm identity before physical cutoffs. Normal covectors with η=0,κ≠0\eta=0,\kappa\ne0 are outside the allowed cone. The model consequently illustrates a genuine restricted-normal-direction case, not the whole-cosphere theorem.

X3. Positive summands alone do not give the required norm bound. For 0<t≤10<t\leq1, take

Q=(1000),St=(1ttt2),ft=(−it/(1+i)1).(TC29) Q=\begin{pmatrix}1&0\\0&0\end{pmatrix},\quad S_t=\begin{pmatrix}1&t\\t&t^2\end{pmatrix},\quad f_t=\begin{pmatrix}-it/(1+i)\\1\end{pmatrix}. \tag{TC29}

Both matrices are positive, and ∥St∥=1+t2≤2\|S_t\|=1+t^2\leq2. Direct multiplication yields (Q+iSt)ft=(0,it2/(1+i))T(Q+iS_t)f_t=(0,it^2/(1+i))^T, while Qft=(−it/(1+i),0)TQf_t=(-it/(1+i),0)^T. Thus

∥Qft∥∥(Q+iSt)ft∥=t−1⟶∞.(TC30) \frac{\|Qf_t\|}{\|(Q+iS_t)f_t\|}=t^{-1}\longrightarrow\infty. \tag{TC30}

The regularizer is missing a uniform lower comparison on the weak band: its kernel vector (−t,1)T(-t,1)^T has nonzero component in ker⁡Q\ker Q. In contrast, (TC15) controls that entire band with a fixed fraction of pp. The complete argument E0, rather than positivity alone, proves the uniform norm bound used here.

8. The geometry and the two controls

An allowed cone containing the tangential equator, Gaussian full tails, and the scalar collar estimate

I0. Meaning of the diagram. The circular panel shows one normalized covector fiber κ2+η2=1\kappa^2+\eta^2=1 in the circle example, with allowed cone ∣κ∣<3∣η∣|\kappa|<3|\eta| and an elliptic target region ∣κ∣≤∣η∣|\kappa|\leq|\eta|. The horizontal normal directions are omitted; both tangential directions are allowed at every boundary base point. The Gaussian plot is the exact scalar factor e−h2/4/(2π)e^{-h^2/4}/(2\sqrt\pi) in the full kernel, not the entire oscillating kernel series. The arrows record the proved mass, low-band and norm comparisons and the separated-output Banach estimate. They illustrate the collar-input theorem (TC2).