Zero-free Airy quotients and matrix Robin matching

The uniform normal estimate retains a homogeneous Robin boundary form whose sign is not controlled. A complementary boundary construction uses the complex Airy modes. Their logarithmic derivatives have no real zeros, whereas the corresponding real Airy quotient has poles. This lesson proves the zero-free statement, all differentiated real-axis estimates, the transition-frequency inverse bounds and the exact matrix Robin matching law for the affine Airy model.

The proof builds on the existing Airy lesson. Its entire Airy function, differential equation, positive Gaussian contour and real stationary-phase formula are retained. The new argument constructs the single outgoing mode by a convergent integral equation. It needs no unproved complex-sector asymptotic theorem.

1. Conventions and the boundary model

B0. The precise receiving problem. Write D=−i∂D=-i\partial, take x≥0x\ge0, and use tangential Fourier coordinates η=(μ,λ,η′′)\eta=(\mu,\lambda,\eta'') in a closed cone

λ≥1,∣μ∣+∣η′′∣≤Cλ.(AB1) \lambda\ge1,\qquad |\mu|+|\eta''|\le C\lambda . \tag{AB1}
Thus ⟨η⟩\langle\eta\rangle and λ\lambda are comparable. The affine model and its scaled Airy variable are
Pη=Dx2−(xλ2−μλ),tx=λ−1/3μ−λ2/3x,t0=λ−1/3μ.(AB2) P_\eta=D_x^2-(x\lambda^2-\mu\lambda),\qquad t_x=\lambda^{-1/3}\mu-\lambda^{2/3}x,\qquad t_0=\lambda^{-1/3}\mu . \tag{AB2}
If F′′(t)=tF(t)F''(t)=tF(t), then F(tx)F(t_x) solves Pηu=0P_\eta u=0, since ∂x2F(tx)=(μλ−xλ2)F(tx)\partial_x^2F(t_x)=(\mu\lambda-x\lambda^2)F(t_x). The normal derivative in the boundary operator is the intrinsic DxD_x, with this sign.

We allow a finite matrix Fourier multiplier K(η)K(\eta) whose symbol and all frequency derivatives have ordinary order zero:

∥∂ηαK(η)∥≤Cαλ−∣α∣.(AB3) \|\partial_\eta^\alpha K(\eta)\|\le C_\alpha\lambda^{-|\alpha|}. \tag{AB3}
It need not be Hermitian, normal, diagonalizable or constant in η\eta. The exact model condition is (Dx+K(Dz))u∣x=0=β(D_x+K(D_z))u|_{x=0}=\beta. A variable-base Robin coefficient and a general variable-coefficient operator require a further parametrix; they are not identified with this Fourier model.

For a real variable s≥1s\ge1, the notation a∈Ssma\in S^m_s means ∣a(j)(s)∣≤Cjsm−j|a^{(j)}(s)|\le C_j s^{m-j} for all jj. An asymptotic expansion below includes these derivative bounds on every remainder.

2. Construct a single oscillating Airy mode

B1. An actual solution at negative infinity. Put

ζ=23s3/2,F(−s)=s−1/4v(ζ),c=536.(AB4) \zeta=\tfrac23s^{3/2},\qquad F(-s)=s^{-1/4}v(\zeta),\qquad c=\tfrac5{36}. \tag{AB4}
Direct differentiation gives
v′′+(1+cζ−2)v=0.(AB5) v''+(1+c\zeta^{-2})v=0 . \tag{AB5}
Indeed the two mixed first-derivative terms cancel and (s−1/4v)′′=s3/4v′′+516s−9/4v(s^{-1/4}v)''=s^{3/4}v''+\tfrac5{16}s^{-9/4}v; also s−3=4/(9ζ2)s^{-3}=4/(9\zeta^2).

On ζ≥1\zeta\ge1 solve the integral equation

v(ζ)=eiζ−c∫ζ∞sin⁡(θ−ζ)θ−2v(θ) dθ.(AB6) v(\zeta)=e^{i\zeta} -c\int_\zeta^\infty\sin(\theta-\zeta)\theta^{-2}v(\theta)\,d\theta . \tag{AB6}
The integral operator has norm at most c<1c<1 on bounded continuous functions. Explicitly the series ∑j≥0Tjeiζ\sum_{j\ge0}T^j e^{i\zeta}, where TT is the negative integral term, converges uniformly and absolutely in that norm. The uniform limit is continuous; substitution in the integral is justified by the integrable bound cθ−2c\theta^{-2}. It solves AB6. Subtracting two solutions gives a difference of norm at most cc times itself, proving uniqueness in this class.

The first derivative of the integral is an integral with a bounded cosine kernel. Its second derivative is the integrand at the lower endpoint minus the original sine integral. Dominated convergence on each compact ζ\zeta interval therefore proves AB5 and C2C^2 regularity. The differential equation then gives all higher derivatives. Moreover

v−eiζ=O(ζ−1),v′−ieiζ=O(ζ−1).(AB7) v-e^{i\zeta}=O(\zeta^{-1}),\qquad v'-ie^{i\zeta}=O(\zeta^{-1}). \tag{AB7}
These estimates follow directly by bounding each tail integral by C/ζC/\zeta.

B2. Every differentiated oscillatory remainder. There is a symbol m∈Sζ0m\in S^0_\zeta, with m=1+Sζ−1m=1+S^{-1}_\zeta, such that v=eiζmv=e^{i\zeta}m. More precisely,

m(ζ)∼∑j≥0ajζ−j,a0=1,aj+1=j(j+1)+c2i(j+1)aj.(AB8) m(\zeta)\sim\sum_{j\ge0}a_j\zeta^{-j},\qquad a_0=1,\qquad a_{j+1}=\frac{j(j+1)+c}{2i(j+1)}a_j . \tag{AB8}
Here is a proof of the full remainder assertion. The equation for mm is m′′+2im′+cζ−2m=0m''+2im'+c\zeta^{-2}m=0. For mN=∑j=0N−1ajζ−jm_N=\sum_{j=0}^{N-1}a_j\zeta^{-j}, the recurrence cancels every power through ζ−N\zeta^{-N}, leaving a constant times ζ−N−1\zeta^{-N-1}. Let vN=eiζmNv_N=e^{i\zeta}m_N. The Green identity underlying AB6, integrated from ζ\zeta to a finite upper endpoint and then to infinity, gives
v−vN=T(v−vN)−∫ζ∞sin⁡(θ−ζ)eiθ(mN′′+2imN′+cθ−2mN) dθ.(AB9) v-v_N=T(v-v_N) -\int_\zeta^\infty\sin(\theta-\zeta) e^{i\theta}\bigl(m_N''+2im_N'+c\theta^{-2}m_N\bigr)\,d\theta . \tag{AB9}
The upper-endpoint error tends to zero because vN−eiζv_N-e^{i\zeta} and its derivative tend to zero. The same endpoint property for vv is AB7.

In the norm sup⁡ζ≥1ζN∣w(ζ)∣\sup_{\zeta\ge1}\zeta^N|w(\zeta)|, the operator TT has norm at most c/(N+1)c/(N+1): integrate θ−N−2\theta^{-N-2}. The last integral in AB9 is O(ζ−N)O(\zeta^{-N}). Thus its convergent series produces a solution wN=O(ζ−N)w_N=O(\zeta^{-N}); uniqueness among bounded solutions identifies it with v−vNv-v_N. Differentiating AB9 once gives wN′=O(ζ−N)w_N'=O(\zeta^{-N}). The inhomogeneous equation for wNw_N, and induction after differentiating that equation, give wN(k)=Ok(ζ−N)w_N^{(k)}=O_k(\zeta^{-N}) for every fixed kk.

This apparently weaker derivative estimate supplies the full symbol estimate by using more terms. For fixed N,kN,k, subtract mN+km_{N+k}, whose kk-th remainder derivative is O(ζ−N−k)O(\zeta^{-N-k}). The finite difference mN+k−mNm_{N+k}-m_N starts at ζ−N\zeta^{-N}, so its kk-th derivative has the same bound. Consequently

∂ζk(m−mN)=ON,k(ζ−N−k).(AB10) \partial_\zeta^k(m-m_N)=O_{N,k}(\zeta^{-N-k}). \tag{AB10}
No undifferentiated oscillatory error has been silently differentiated as though it were a symbol.

3. Conserved flux excludes both kinds of real zero

B3. Extension and exact flux. Continue the data furnished by B1 across every finite real interval using the first-order system

ddt(FF′)=(01t0)(FF′).(AB11) \frac d{dt}\binom{F}{F'}= \begin{pmatrix}0&1\\t&0\end{pmatrix}\binom{F}{F'} . \tag{AB11}
The ordered integral-series proof NCQ:N1 applies on each such compact interval; its uniqueness makes the extensions agree. Successively larger intervals cover the real line. Thus FF is a globally defined smooth complex solution. The exact conserved quantity is
J(t)=Im⁡(F′(t)F(t)‾)=−1,W(F,F‾)=FF‾′−F′F‾=2i.(AB12) J(t)=\operatorname{Im}(F'(t)\overline{F(t)})=-1,\qquad W(F,\overline F)=F\overline F'-F'\overline F=2i . \tag{AB12}
Its derivative is zero because F′′=tFF''=tF and tt is real. AB4, AB7 and d/dt=−d/dsd/dt=-d/ds give F′(−s)=−is1/4eiζ(1+o(1))F'(-s)=-i s^{1/4}e^{i\zeta}(1+o(1)), so the constant is exactly −1-1. If either F(t)F(t) or F′(t)F'(t) vanished at a real point, AB12 would vanish there. Neither can vanish.

Set

φ(t)=F′(t)/F(t).Im⁡φ(t)=−∣F(t)∣−2,φ′(t)=t−φ(t)2.(AB13) \varphi(t)=F'(t)/F(t). \quad \operatorname{Im}\varphi(t)=-|F(t)|^{-2},\qquad \varphi'(t)=t-\varphi(t)^2 . \tag{AB13}
These are identities on the whole real line. In particular φ\varphi and its reciprocal are smooth there.

For comparison with the earlier real Airy function, its exact decomposition is

Ai⁡(t)=12π(e−iπ/4F(t)+eiπ/4F(t)‾).(AB14) \operatorname{Ai}(t)=\frac1{2\sqrt\pi} \bigl(e^{-i\pi/4}F(t)+e^{i\pi/4}\overline{F(t)}\bigr). \tag{AB14}
The two solutions in AB12 are linearly independent. Expand Ai⁡\operatorname{Ai} in this basis, with constant coefficients by uniqueness of AB11. The negative-ray value and derivative asymptotics proved in the earlier Airy lesson, together with AB4 and AB7, determine those coefficients: the cosine cos⁡(ζ−π/4)\cos(\zeta-\pi/4) gives precisely the two constants in AB14. More explicitly the Wronskian formulas for the coefficients have limits obtained from those two asymptotic formulas, and the nonzero denominator 2i2i is constant. This proves the identity, not merely its leading term.

One may equivalently use the real solution Bi⁡=i(e−iπ/4F−eiπ/4F‾)/(2π)\operatorname{Bi}=i(e^{-i\pi/4}F-e^{i\pi/4}\overline F)/(2\sqrt\pi). Then Ai⁡−iBi⁡=e−iπ/4F/π\operatorname{Ai}-i\operatorname{Bi}=e^{-i\pi/4}F/\sqrt\pi, and expanding AB12 gives W(Ai⁡,Bi⁡)=1/πW(\operatorname{Ai},\operatorname{Bi})=1/\pi. These formulas fix the normalization used for the numerical illustration.

4. Positive infinity and global symbol estimates

B4. The quotient and inverse on both rays. The following estimates hold for every j≥0j\ge0:

∣φ(j)(t)∣≤Cj⟨t⟩1/2−j,∣(φ−1)(j)(t)∣≤Cj⟨t⟩−1/2−j,∣φ(t)∣≥c0⟨t⟩1/2.(AB15) |\varphi^{(j)}(t)|\le C_j\langle t\rangle^{1/2-j},\qquad |(\varphi^{-1})^{(j)}(t)|\le C_j\langle t\rangle^{-1/2-j}, \qquad |\varphi(t)|\ge c_0\langle t\rangle^{1/2}. \tag{AB15}
On the negative ray, AB8–AB10 and the chain rule give
φ(−s)=−is+14s+Ss−5/2.(AB16) \varphi(-s)=-i\sqrt s+\frac1{4s}+S^{-5/2}_s . \tag{AB16}
In fact logarithmic differentiation of AB4 gives 1/(4s)−is−s m′(ζ)/m(ζ)1/(4s)-i\sqrt s-\sqrt s\,m'(\zeta)/m(\zeta); the last term is Ss−5/2S^{-5/2}_s. The symbol inverse of mm, for large ζ\zeta, follows by a convergent scalar geometric series or repeated differentiation of m−1m=1m^{-1}m=1.

We give the positive-ray argument in detail. The already proved Gaussian contour for g(t)=Ai⁡(t)g(t)=\operatorname{Ai}(t), rescaled by v=t1/4τv=t^{1/4}\tau, is

g(t)=c∗t−1/4e−ζ(t)a(t),c∗=12π,ζ(t)=23t3/2,a(t)=π−1/2∫Re−v2eiv3/(3t3/4) dv.(AB17) g(t)=c_*t^{-1/4}e^{-\zeta(t)}a(t),\qquad c_*=\frac1{2\sqrt\pi},\quad \zeta(t)=\tfrac23t^{3/2}, \quad a(t)=\pi^{-1/2}\int_{\mathbb R}e^{-v^2} e^{iv^3/(3t^{3/4})}\,dv . \tag{AB17}
The imaginary part of the integral vanishes by oddness. Expanding the cosine to any even order, with its integral Taylor remainder, gives a(t)∼∑j≥0αjt−3j/2a(t)\sim\sum_{j\ge0}\alpha_jt^{-3j/2}, α0=1\alpha_0=1, and every remainder has the corresponding symbol bounds. Indeed each tt derivative of a Taylor remainder is a finite sum of a power of t−3/4t^{-3/4}, a power of t−1t^{-1}, and a Gaussian moment times a bounded sine or cosine. The Taylor remainder for each of these differentiated trigonometric functions gives ∂tk(a−∑j<Nαjt−3j/2)=O(t−3N/2−k)\partial_t^k(a-\sum_{j<N}\alpha_jt^{-3j/2})=O(t^{-3N/2-k}). All Gaussian moments are finite; their integrations and the constant ∫e−v2dv=π\int e^{-v^2}dv=\sqrt\pi have the exact earlier Gaussian provider. In particular a=1+St−3/2a=1+S^{-3/2}_t and g>0g>0 for t≥Tt\ge T, for some fixed TT.

On this ray define a second real solution

h(t)=2g(t)∫Ttg(v)−2 dv,W(g,h)=gh′−g′h=2.(AB18) h(t)=2g(t)\int_T^t g(v)^{-2}\,dv,\qquad W(g,h)=gh'-g'h=2 . \tag{AB18}
Differentiation proves both the differential equation and the Wronskian. We require its differentiated growing asymptotic, so we prove it. Put
f(t)=c∗−2t1/2a(t)−2,d0(t)=f(t)2t,dj+1(t)=−dj′(t)2t.(AB19) f(t)=c_*^{-2}t^{1/2}a(t)^{-2},\qquad d_0(t)=\frac{f(t)}{2\sqrt t},\qquad d_{j+1}(t)=-\frac{d_j'(t)}{2\sqrt t}. \tag{AB19}
Here dj∈St−3j/2d_j\in S^{-3j/2}_t. Integration by parts with ∂ve2ζ(v)=2v e2ζ(v)\partial_v e^{2\zeta(v)}=2\sqrt v\,e^{2\zeta(v)} gives
e−2ζ(t)∫Ttg(v)−2 dv∼∑j≥0dj(t).(AB20) e^{-2\zeta(t)}\int_T^t g(v)^{-2}\,dv \sim\sum_{j\ge0}d_j(t). \tag{AB20}
To verify the full remainder, after NN terms the remaining integrand is −e2ζ(v)dN−1′(v)-e^{2\zeta(v)}d_{N-1}'(v), plus a fixed lower-endpoint constant. For any symbol b∈Stγb\in S^\gamma_t,
e−2ζ(t)∣∫Tte2ζ(v)b(v) dv∣≤Cγtγ−1/2(t≥2T).(AB21) e^{-2\zeta(t)} \left|\int_T^t e^{2\zeta(v)}b(v)\,dv\right| \le C_\gamma t^{\gamma-1/2}\quad(t\ge2T). \tag{AB21}
Split at t/2t/2. The first part has an exponentially small factor in t3/2t^{3/2}, which dominates every prescribed power; the second uses ζ(t)−ζ(v)≥t/2(t−v)\zeta(t)-\zeta(v)\ge\sqrt{t/2}(t-v) and integrates the resulting exponential in t−vt-v. This proves the stated bound, including negative γ\gamma. The lower endpoint is exponentially small as well.

For derivatives, the remaining normalized integral satisfies a first-order equation R′+2t R=b(t)R'+2\sqrt t\,R=b(t). Its differentiated equation gives the preliminary bound R(k)=O(tγ−1/2+k/2)R^{(k)}=O(t^{\gamma-1/2+k/2}). Use N+kN+k terms of AB20 for a kk-th derivative of the NN-term remainder; the 3/23/2 decrease per extra term compensates both this preliminary loss and the desired kk derivative powers. The finite intervening symbols already have their differentiated bounds. Thus AB20 is a full symbol expansion. Substitution in AB18 yields

h(t)=c∗−1t−1/4eζ(t)(1+St−3/2).(AB22) h(t)=c_*^{-1}t^{-1/4}e^{\zeta(t)} \bigl(1+S^{-3/2}_t\bigr). \tag{AB22}

Since g,hg,h form a real basis, write F=Ag+BhF=A g+B h for constants A,BA,B. The nonzero flux AB12 implies B≠0B\ne0: a constant multiple of the real function gg would have zero flux. The ratio g/hg/h and all its derivatives decrease faster than every power, by AB17 and AB22. Hence logarithmic differentiation gives

φ(t)=t−14t+St−5/2(t⟶+∞).(AB23) \varphi(t)=\sqrt t-\frac1{4t}+S^{-5/2}_t \quad(t\longrightarrow+\infty). \tag{AB23}
This also proves two-sided amplitude bounds
c⟨t⟩−1/4e23(t+)3/2≤∣F(t)∣≤C⟨t⟩−1/4e23(t+)3/2,∣F(k)(t)∣≤Ck⟨t⟩k/2−1/4e23(t+)3/2.(AB24) c\langle t\rangle^{-1/4}e^{\frac23(t_+)^{3/2}} \le |F(t)|\le C\langle t\rangle^{-1/4}e^{\frac23(t_+)^{3/2}},\qquad |F^{(k)}(t)|\le C_k\langle t\rangle^{k/2-1/4} e^{\frac23(t_+)^{3/2}} . \tag{AB24}
Use the two ray constructions and their differentiated expansions at infinity, and the nonzero continuous function FF on the remaining compact interval. The same argument applied to AB16 and AB23, using the nonvanishing of F′F', proves the lower bound in AB15. Repeated differentiation of φφ−1=1\varphi\varphi^{-1}=1 proves the reciprocal bounds in AB15. This completes the global quotient proof.

5. The transition-frequency boundary symbols

B5. Frequency orders and the normal sign. Normalize the two modes to have boundary value one:

V+(x,η)=F(tx)F(t0),V−(x,η)=F(tx)‾F(t0)‾.(AB25) V_+(x,\eta)=\frac{F(t_x)}{F(t_0)},\qquad V_-(x,\eta)=\frac{\overline{F(t_x)}}{\overline{F(t_0)}} . \tag{AB25}
Their intrinsic boundary derivatives are
n+(η)=iλ2/3φ(t0),n−(η)=iλ2/3φ(t0)‾=−n+(η)‾.(AB26) n_+(\eta)=i\lambda^{2/3}\varphi(t_0),\qquad n_-(\eta)=i\lambda^{2/3}\overline{\varphi(t_0)} =-\overline{n_+(\eta)} . \tag{AB26}
In particular
cλ2/3⟨t0⟩1/2≤∣n±∣≤Cλ2/3⟨t0⟩1/2≤C′λ,∣n−∣=∣n+∣.(AB27) c\lambda^{2/3}\langle t_0\rangle^{1/2} \le |n_\pm|\le C\lambda^{2/3}\langle t_0\rangle^{1/2} \le C'\lambda,\qquad |n_-|=|n_+|. \tag{AB27}
The phase of V+V_+ for large xx has positive normal covector λx−μ/λ\lambda\sqrt{x-\mu/\lambda}, by AB4. This fixes which mode is called outgoing here.

For every multi-index α\alpha, on the cone AB1,

∣∂ηαn±∣≤Cα∣n±∣λ−∣α∣/3,∣∂ηαn+−1∣≤Cαλ−2/3−∣α∣/3.(AB28) |\partial_\eta^\alpha n_\pm| \le C_\alpha |n_\pm|\lambda^{-|\alpha|/3},\qquad |\partial_\eta^\alpha n_+^{-1}| \le C_\alpha\lambda^{-2/3-|\alpha|/3}. \tag{AB28}
To prove this, a μ\mu derivative of f(t0)f(t_0) is λ−1/3f′(t0)\lambda^{-1/3}f'(t_0), while a λ\lambda derivative is −t0f′(t0)/(3λ)-t_0 f'(t_0)/(3\lambda). Formula AB15 bounds every jj-th derivative of φ\varphi relative to ∣φ∣|\varphi| by Cj⟨t0⟩−jC_j\langle t_0\rangle^{-j}. Repeated chain and product rules therefore give a factor at most λ−1/3\lambda^{-1/3} for each frequency derivative; derivatives of λ2/3\lambda^{2/3} have the stronger factor λ−1\lambda^{-1}. The identical reasoning for φ−1\varphi^{-1} proves the second assertion. Spectator derivatives vanish. Smooth degree-zero cone cutoffs have the stronger ordinary derivative bounds and preserve these estimates.

Thus n±n_\pm have order at most one in S1/3,0S_{1/3,0}, while n+−1n_+^{-1} has order −2/3-2/3. This notation records the displayed estimates. No variable-base quantization theorem for that class is being assumed.

6. Exact matrix Robin matching

B6. The boundary inverse and reflection matrix. Increase the fixed lower frequency threshold to LL, so that ∣n+∣≥2sup⁡η∥K(η)∥|n_+|\ge2\sup_\eta\|K(\eta)\|. There is an actual pointwise matrix inverse

B+(η)=(n+I+K)−1=n+−1∑j=0∞(−n+−1K)j.(AB29) B_+(\eta)=(n_+I+K)^{-1} =n_+^{-1}\sum_{j=0}^\infty(-n_+^{-1}K)^j . \tag{AB29}
The series converges in matrix norm, gives a left and right inverse by multiplying its finite partial sums, and satisfies
∥∂ηαB+∥≤Cαλ−2/3−∣α∣/3.(AB30) \|\partial_\eta^\alpha B_+\| \le C_\alpha\lambda^{-2/3-|\alpha|/3}. \tag{AB30}
Indeed E=n+−1KE=n_+^{-1}K has norm at most 1/21/2 and ∥∂αE∥≤Cαλ−2/3−∣α∣/3\|\partial^\alpha E\|\le C_\alpha\lambda^{-2/3-|\alpha|/3}. A fixed derivative of EjE^j has at most Cαj∣α∣C_\alpha j^{|\alpha|} ordered terms, with at most ∣α∣|\alpha| differentiated factors and all others bounded by 1/21/2. The geometric majorant remains summable. Multiply by n+−1n_+^{-1} and use AB28. No distinct matrix derivatives have been commuted.

For prescribed incoming boundary amplitude h−h_- and Robin datum β\beta, define

h^+=B+β^+RKh^−,RK=−B+(n−I+K).(AB31) \widehat h_+=B_+\widehat\beta+\mathcal R_K\widehat h_-, \qquad \mathcal R_K=-B_+(n_-I+K). \tag{AB31}
Then, pointwise in frequency,
(n+I+K)h^++(n−I+K)h^−=β^.(AB32) (n_+I+K)\widehat h_++(n_-I+K)\widehat h_-=\widehat\beta . \tag{AB32}
The bound ∥RK∥≤3\|\mathcal R_K\|\le3 follows from ∥B+∥≤2/∣n+∣\|B_+\|\le2/|n_+| and AB27. Its differentiated symbol estimates have order zero with loss 1/31/3 per frequency derivative. For precision write RK=−(I+E)−1((n−/n+)I+E)\mathcal R_K=-(I+E)^{-1}((n_-/n_+)I+E); AB28 and the same ordered series prove that assertion.

All data can be restricted to a fixed closed subcone of AB1 with λ≥L\lambda\ge L; use cutoffs in a slightly larger cone when defining global multipliers. Plancherel, applied to the matrix norm pointwise, gives for every real ss

∥h+∥Hs≤Cs(∥β∥Hs−2/3+∥h−∥Hs).(AB33) \|h_+\|_{H^s}\le C_s\bigl( \|\beta\|_{H^{s-2/3}}+\|h_-\|_{H^s}\bigr). \tag{AB33}
The Fourier-weight definition proves this first for Schwartz data, then for all indicated Sobolev inputs by density. It is a genuine 2/32/3-order boundary-source gain, with no symmetry condition on KK.

B7. Actual model solutions and distributional traces. The formula

u^(x,η)=V+(x,η)h^+(η)+V−(x,η)h^−(η)(AB34) \widehat u(x,\eta)=V_+(x,\eta)\widehat h_+(\eta) +V_-(x,\eta)\widehat h_-(\eta) \tag{AB34}
defines a distribution solution of the exact model, not just its principal symbol. Here data are tempered distributions supported in the stated cone, and multiplication uses any smooth extension agreeing near that support.

To check existence, take xx in any fixed compact interval [0,a][0,a]. The inequality tx≤t0t_x\le t_0 makes the exponential quotient in AB24 at most one. Since ∣tx∣+∣t0∣≤Caλ2/3|t_x|+|t_0|\le C_a\lambda^{2/3}, AB24 gives polynomial bounds for every xx derivative of V±V_\pm. Frequency derivatives have polynomial bounds as well: differentiate the numerator and denominator, use AB24 and the lower bound there, and retain the exponential quotient. Every resulting factor has a fixed power bound in λ\lambda; no positive exponential survives. Thus these multipliers and all their xx derivatives act continuously on Schwartz tests and, by transposition, on tempered distributions. This proves smooth xx-dependence in that distribution space, including at zero.

Differentiate AB34 there. AB2 gives Pηu^=0P_\eta\widehat u=0, and AB25–AB26 give its value and intrinsic derivative traces. Equation AB32 is exactly the asserted Robin condition. This solution is unique among combinations of the two modes with the prescribed h−h_-, since the boundary matrix has the inverse AB29. This is a uniqueness statement in the specified incoming/outgoing class, not a Cauchy uniqueness theorem for every solution of a general boundary problem.

7. Three solved exercises

Exercise 1. A nonnormal Robin matrix

Take K=(0b00)K=\begin{pmatrix}0&b\\0&0\end{pmatrix}, so K2=0K^2=0. Compute the reflection matrix for homogeneous Robin data.

Solution. The inverse terminates:

(n+I+K)−1=n+−1I−n+−2K,RK=−n−n+I−n+−n−n+2K.(AB35) (n_+I+K)^{-1}=n_+^{-1}I-n_+^{-2}K,\qquad \mathcal R_K=-\frac{n_-}{n_+}I -\frac{n_+-n_-}{n_+^2}K . \tag{AB35}
Multiplication by n+I+Kn_+I+K leaves exactly −(n−I+K)-(n_-I+K); the term with K2K^2 vanishes. Thus AB32 holds for every incoming vector, even though KK is nonnormal when b≠0b\ne0. The reflected norm need not be one. Its high-frequency correction has size at most 2∣b∣/∣n+∣2|b|/|n_+|, which is O(λ−2/3)O(\lambda^{-2/3}).

Exercise 2. The transition gain cannot be increased

For K=0K=0, show that the outgoing inverse cannot map Hs−2/3H^{s-2/3} to Hs+δH^{s+\delta} uniformly for any δ>0\delta>0 on a cone containing μ=0\mu=0.

Solution. At μ=0\mu=0,

n+−1=(iφ(0))−1λ−2/3.(AB36) n_+^{-1}=(i\varphi(0))^{-1}\lambda^{-2/3}. \tag{AB36}
Choose a nonzero smooth Fourier bump of fixed small support centered at (μ,λ,η′′)=(0,R,0)(\mu,\lambda,\eta'')=(0,R,0), with R→∞R\to\infty. On that support t0→0t_0\to0, so the nonzero continuous φ\varphi bounds the inverse above and below by constant multiples of R−2/3R^{-2/3}. The ratio of the proposed output norm to the input norm is therefore bounded below by cRδcR^\delta. It diverges. This proves optimality for the stated uniform boundary multiplier estimate, without claiming optimality for every microlocal propagation norm.

Exercise 3. Why the real derivative is a bad denominator

Prove that Ai⁡′\operatorname{Ai}' has infinitely many real negative zeros and that Ai⁡/Ai⁡′\operatorname{Ai}/\operatorname{Ai}' has a pole at each of them.

Solution. The earlier differentiated stationary-phase formula is Ai⁡′(−s)=π−1/2s1/4sin⁡(2s3/2/3−π/4)+O(s−5/4)\operatorname{Ai}'(-s)=\pi^{-1/2}s^{1/4}\sin(2s^{3/2}/3-\pi/4)+O(s^{-5/4}). Choose increasing ss for which the sine is alternately +1+1 and −1-1. The remainder is smaller than half the leading magnitude for all sufficiently large choices. Continuity gives a zero between each consecutive pair. A simultaneous zero of Ai⁡\operatorname{Ai} and its derivative would force the solution of AB11 to be identically zero, contrary to AB17. At a negative derivative zero tjt_j, therefore, Ai⁡′′(tj)=tjAi⁡(tj)≠0\operatorname{Ai}''(t_j)=t_j\operatorname{Ai}(t_j)\ne0. The denominator has a simple zero and the numerator is nonzero, which proves the pole. The complex denominator F′F' is zero-free by the conserved flux AB12.

Outgoing Airy quotient and the boundary inverse scale

The first panels are numerical samples of the real and imaginary parts of φ\varphi, and of its inverse magnitude after division by the proved weight. The last panel shows the exact λ−2/3\lambda^{-2/3} dependence at t0=0t_0=0, normalized to remove its constant factor. Plotted samples are illustrations; zero-freeness and every global estimate are proved in B1–B7 and Exercises 1–3.

8. Sources and scope of the Airy model

Richard Melrose and Michael Taylor, Boundary Problems for Wave Equations With Grazing and Gliding Rays, §8.1, Proposition 8.1.12 and (8.1.13)–(8.1.16), identifies inversion of the complex Airy quotient as the diffractive Neumann mechanism. Appendix A.3 records the quotient identities. This freely readable author-hosted treatment supplies that source route. The convergent-integral construction, differentiated remainder proofs and finite-matrix Fourier-model argument here are written independently, using the exact earlier programme proofs in the proof map.

The earlier Airy lesson retains its Hörmander I and IV attribution and editions.

The real-axis inverse and matching theorem concern the stated affine Fourier model. A variable-coefficient boundary construction also requires phase and amplitude equations, operator composition, parametrices, coefficient and cutoff remainder estimates, and the weak energy domain with natural-dual forcing. These are separate analytic requirements; the affine model alone does not imply general Robin propagation. For the boundary comparison argument, see Robin diffraction by Dirichlet comparison. The independent exposition is CC0-1.0; linked components retain their licences.