AN-04 proof edition · CC0; exact source credit and separately licensed prerequisites
Boundary adjoints, complete composition and distributional action
These connected components retain AN03-U032, Totally characteristic operators on the half space, Sections 2–5, Section 6 through Example 6.7, and Sections 7–13. Original author: Claude Opus 5.5 (Anthropic), September 2026; editorial additions: Codex, September 2026. Both were dedicated to the public domain (CC0). Current prerequisite connections and proof clarifications: AN-04 course-writing task and OpenAI Codex, 5 October 2026, also CC0. The selected components retain every mathematical display, the full scalar and finite-matrix hypotheses, and all five original solved exercises.
The approved mathematical antecedent is Hörmander III, 2007 eBook, ISBN 978-3-540-49938-1, Section 18.3. Its use and ordinary citation are valid. Complete proofs are supplied in the components and the exact earlier programme proofs. The earlier linked components retain their individual licences.
The four components, in proof order, are Boundary tests, lacunary symbols and all normal jets, Resolved corner kernels and their exact inverse, Boundary adjoints, complete composition and distributional action, Boundary operator bounds, conormal action and the residual obstruction. Original section and equation numbers are retained across them. Sections 6.8 (polyhomogeneous corner characterization) and 14 (arbitrary positive-order Sobolev loss) are separate unadopted obligations; the theorems below do not substitute for those results or for the global compressed wave-front calculus.
Use the exact test and symbol calculus and resolved kernel theorem. All adjoints use the Hilbert convention, and every transpose of a matrix reverses its source and target. The distribution actions retain the actual supported representatives and the separate restriction quotient.
7. Adjoints
The adjoint of Ta with respect to (u,v)=∫uv is again an operator of the class. We first compute it for strongly lacunary residual symbols, where the transposed kernel can be read off from Theorem 6.2. Then we extend the formula by an adjoint transform defined on all of S+m.
The adjoint of a strongly lacunary residual operator
Proposition 7.1 (A residual adjoint formula). Let a∈Sla−∞ be strongly lacunary, and let χ∈C0∞((0,∞)) equal 1 on (21,2). There is exactly one b∈Sla−∞ with
(Tau,v)=(u,Tbv)(u,v∈S(Rn)),(7.1)
and for xn>0, with the inner integral taken first,
b(x,ξ)=(2π)−n∫(∫e−i⟨y,η⟩a(x′−y′,xn(1−yn),ξ′−η′,(1−yn)(ξn−ηn))χ(1−yn)dη)dy(7.2)
=[ei⟨Dy,Dη⟩(a(y′,xnyn,η′,ynηn)χ(yn))]y=(x′,1), η=ξ.(7.3)
Proof. Existence and uniqueness. The transposed kernel K∗(x,y)=Ka(y,x) is locally integrable and supported in Q, and its resolved form is F∗(x′,y′,t,r)=F(y′,x′,t,−r), which has all the properties in Theorem 6.2(c). By Theorem 6.2(d), K∗=Kb for a unique b∈Sla−∞, and Fubini's theorem, justified by the bounds of Theorem 6.2(b), gives (7.1). An operator determines its symbol (by the explicit Fourier-kernel construction in Section 1.2), so b is unique.
The formula. By the inversion formula for kernels in Section 1, for xn>0, b♭(x,ξ)=∫e−iz⋅ξKa(x−z,x)dz, an absolutely convergent integral. Strong lacunarity says that A vanishes unless zn∈[−1,21]; in Ka(y,x) the normal argument is (yn−xn)/yn, so Ka(y,x)=0 unless xn/yn∈[21,2]. So we may insert χ((xn−zn)/xn), since it equals 1 almost everywhere on the support. Writing Ka(x−z,x)=(2π)−n∫ei⟨z,η⟩a♭(x−z,η)dη and substituting η↦ξ−η, we get
b♭(x,ξ)=(2π)−n∫(∫e−i⟨z,η⟩a(x−z,ξ′−η′,(xn−zn)(ξn−ηn))χ(xnxn−zn)dη)dz.
Now b(x,ξ)=b♭(x,ξ′,ξn/xn). Substitute zn=xnyn, ηn↦ηn/xn, z′=y′: then (xn−zn)(ξn/xn−ηn/xn)=(1−yn)(ξn−ηn), znηn becomes ynηn, and dzndηn=dyndηn. This is (7.2). Finally, for a function c(y,η) that is a residual symbol, ei⟨Dy,Dη⟩c(y,η)=(2π)−n∬e−i⟨w,θ⟩c(y−w,η−θ)dθdw (the complete Fourier multiplier identity O4 in the earlier ordinary calculus proves this formula on Schwartz inputs; bounded compact approximation and the O8 seminorm estimates extend it to residual symbols, with the inner Fourier integral first). With c(y,η)=a(y′,xnyn,η′,ynηn)χ(yn), a residual symbol for fixed xn>0, and (y,η)=((x′,1),ξ), this is (7.2). □
Lemma 7.2 (The adjoint transform). Let χ∈C0∞((0,∞)) equal 1 near 1, with suppχ⊂(M−1,M), M>1. For a∈S+m put
Lχa(x,ξ)=[ei⟨Dy,Dη⟩cxn]((x′,1),ξ),cxn(y,η)=a(y′,xnyn,η′,ynηn)χ(yn).(7.4)
(a) Lχ is a continuous conjugate-linear map S+m→Slam.
(b) In S+m,
Lχa∼j≥0∑j!1⟨Dy,iDη⟩ja(y′,xnyn,η′,ynηn)y=(x′,1),η=ξ,(7.5)
the j-th term lying in S+m−j, with the remainder after N terms in S+m−N and controlled by finitely many seminorms of a. For xn>0 the j-th term equals j!1⟨Dy,iDη⟩ja(y,η′,ynηn) at y=x, η′=ξ′, ηn=ξn/xn.
(c) If a∈S+−∞, then suppFn(Lχa)(x,ξ′,⋅)⊂[M−1−1,M−1], and TLχa has the kernel χ(yn/xn)Ka(y,x) for xn,yn>0 (and 0 elsewhere).
Proof. (a), (b) On suppχ we have M−1≤yn≤M, hence (1+∣η∣)/M≤1+∣(η′,ynηn)∣≤M(1+∣η∣) and 1+xnyn≥(1+xn)/M. A yn-derivative of a(y′,xnyn,η′,ynηn) produces xn∂xna (the factor xn is absorbed by the decay in xnyn) or ηn∂ξna (the factor ηn is paid for by the lower order); an ηn-derivative produces yn∂ξna. Hence (1+xn)νcxn is bounded in the classical class Sm(Ryn×Rηn), uniformly in xn≥0, for every ν, and so is every ∂xnkcxn (it has the same form, with ynk∂xnka).
By the complete ordinary quadratic multiplier estimate O8 and parameter proof in Section 1, ei⟨Dy,Dη⟩ is continuous on Sm, with the expansion ∑∣α∣<Nα!1∂ηαDyαc and remainder in Sm−N. The map xn↦cxn is C∞ into Sm (difference quotients converge, by the mean value theorem and the bounds on the next derivative), so C(y,η;xn)=ei⟨Dy,Dη⟩cxn is smooth in all variables, with ∣∂xnk∂ηα∂yβC∣≤C(1+∣η∣)m−∣α∣(1+xn)−ν. Evaluating at y=(x′,1), η=ξ (so x′-derivatives are y′-derivatives) gives Lχa∈S+m, continuously in a.
Since χ=1 near yn=1, the expansion terms at yn=1 are those of (7.5). The j-th term is in S+m−j: the operators xn∂xn and ηn∂ξn produced by Dyn preserve S+m, and each ∂η lowers the order by one (also when it hits a factor ηn, since [∂ηn,ηn∂ξn]=∂ξn). The second form of the terms follows from a(y′,xnyn,η′,ynηn)=a(Y,H′,YnHn) with Y=(y′,xnyn), H=(η′,ηn/xn), under which DynDηn=DYnDHn.
Lacunarity. First let a∈S+−∞. Then cxn is a residual symbol and Lχa is given by the integral (7.2) with this χ. Substitute θ=ξn−ηn in the inner integral: Lχa(x,ξ′,⋅) is the Fourier transform, in yn, of
G(yn)=(2π)−n∭e−i⟨y′,η′⟩+iynθa(x′−y′,xn(1−yn),ξ′−η′,(1−yn)θ)χ(1−yn)dθdη′dy′.
So Fn(Lχa)(x,ξ′,t)=2πG(−t), which vanishes unless 1+t∈suppχ, that is t∈[M−1−1,M−1]⊂(−1,∞). For general a∈S+m, take ak=aψ(ξ/k)∈S+−∞ with ψ∈C0∞ equal to 1 near 0; then ak→a in S+m+1, so Lχak→Lχa in S+m+1 by (a), and Lχa is lacunary because Slam+1 is closed.
(c) The support statement was just proved. For the kernel, the computation in the proof of Proposition 7.1 applies to any a∈S+−∞ and shows that (Lχa)♭(x,⋅) is the transform ∫e−iz⋅ξk(x,x−z)dz of k(x,y)=χ(yn/xn)Ka(y,x). □
The kernel statement in (c) explains the construction: the cutoff multiplies the transposed kernel by a function of the ratio of the normal variables, and that makes the result lacunary.
Adjoints of lacunary operators
Theorem 7.3 (Adjoints).
(a) For every a∈Slam there is exactly one a†∈Slam with
(Tau,v)=(u,Ta†v)(u,v∈S(Rn)).(7.6)
The map a↦a† is conjugate-linear and continuous Slam→Slam, (a†)†=a, and a†−a∈S+m−1.
(b) If a is strongly lacunary and χ∈C0∞((0,∞)) equals 1 on (21,2), then a†=Lχa; in particular a† has the expansion (7.5).
(c) Since Tau=0 on R−n, (7.6) says (Tau,v)L2(R+n)=(u,Ta†v)L2(R+n) for u,v∈S(R+n).
Proof. (b) For residual a this is Proposition 7.1. Let a∈Slam be strongly lacunary, and let ρ be as in Lemma 4.4. Take ak=aψ(ξ/k)∈S+−∞, so that ak→a in S+m+1 (the error (1−ψ(ξ/k))a has Sm+1 seminorms O(k−1)). Then (ak)ρ∈S+−∞ is strongly lacunary, and (ak)ρ→aρ in S+m+1. By the residual case, (T(ak)ρu,v)=(u,TLχ(ak)ρv). Let k→∞: Lχ(ak)ρ→Lχaρ in Slam+1 by Lemma 7.2, and Theorem 5.1(a) lets us pass to the limit on both sides. So the formula holds for aρ. The difference a−aρ is residual and strongly lacunary (Lemma 4.4(b),(c)), so the formula holds for it too, and Lχ is additive and conjugate-linear.
(a) Write a=aρ+(a−aρ). The first term is strongly lacunary, so it has the adjoint symbol Lχaρ by (b). The second is in Sla−∞; by Theorem 6.2 its transposed kernel is the kernel of Tb′ for some b′∈Sla−∞, as in the proof of Proposition 7.1. Put a†=Lχaρ+b′. Uniqueness follows because Tc determines c♭ (an operator determines its symbol), hence c on xn>0, hence c by continuity. Additivity, conjugate-linearity and (a†)†=a follow from uniqueness. Indeed Tλa+μb=λTa+μTb and the inner product is linear in its first argument, so the unique adjoint symbol is λa†+μb†. For continuity, each step is continuous: a↦aρ and a↦a−aρ by Lemma 4.4, Lχ by Lemma 7.2, and the residual adjoint by the explicit formulas of Theorem 6.2 (a↦A↦F↦F∗↦A∗↦b′, each with seminorm bounds). Finally Lχaρ=aρ+S+m−1 by (7.5), and aρ−a∈S+−∞.
(c) is immediate. □
8. Composition
The composition of two operators of the class is again in the class. Its symbol is the sum of a near part, given by a Gauss transform as in the ordinary calculus, and a residual far part.
Theorem 8.1 (Composition). Let aj∈Slamj, j=1,2, and let χ∈C0∞((0,∞)) equal 1 near 1, with suppχ⊂(M−1,M). Put
b1(x,ξ)=[ei⟨Dy,Dη⟩(a1(x,η)a2(y′,xnyn,ξ′,ξnyn)χ(yn))]y=(x′,1), η=ξ,(8.1)
where the Gauss transform acts in (y,η) with (x,ξ) as parameters, and
b2(x,ξ)=∫e−i⟨x′−y′,ξ′⟩−i(1−yn)ξnA1(x,x′−y′,1−yn)a2(y′,xnyn,ξ′,ξnyn)dy,A1(x,z)=(1−χ(1−zn))(2π)−n∫eiz⋅ξa1(x,ξ)dξ,(8.2)
with the integrand taken to be 0 for yn≤0. Then b=b1+b2∈Slam1+m2; b2∈S+−∞; the map (a1,a2)↦b is continuous and bilinear; b does not depend on χ; and
Ta1Ta2=Tbon S(R+n),b∼α∑α!1∂ξαa1(x,ξ)Dx′α′Dsαn[a2(x′,sxn,ξ′,sξn)]s=1,(8.3)
the α-term having order m1+m2−∣α∣. If a1∈Sla−∞ and a2 vanishes for large ∣x∣, then for xn>0
b(x,ξ)=(2π)−n∬yn>0e−i⟨x′−y′,ξ′−η′⟩−i(1−yn)(ξn−ηn)a1(x,η)a2(y′,xnyn,ξ′,ξnyn)dydη,(8.4)
an absolutely convergent integral. Formally, b=ei⟨Dy,Dη⟩a1(x,η)a2(y′,xnyn,ξ′,ξnyn) at y=(x′,1), η=ξ; the sum (8.1)+(8.2) is the precise meaning of this formula.
Reference: [Hörmander III, Theorem 18.3.11] treats composition. The truncation used below needs boundedness and pointwise convergence; its lack of convergence in the full symbol topology is proved in Remark 8.2.
Proof. Step 1: the near part. Put g(y,ξ)=a2(y′,xnyn,ξ′,ξnyn)χ(yn), with xn≥0 a parameter. On suppχ, M−1≤yn≤M, so 1+∣(ξ′,ynξn)∣ is comparable to 1+∣ξ∣. A yn-derivative produces xn∂xna2 (the factor xn is absorbed by the decay of a2 in xnyn) or ξn∂ξna2, and ∣ξn∣(1+∣(ξ′,ynξn)∣)m2−1≤M(1+∣(ξ′,ynξn)∣)m2. A ξ-derivative lowers the order by one. So g is a classical symbol of order m2 in (y,ξ), uniformly in xn, and so are its xn-derivatives. Likewise (1+xn)νa1(x,η) is a symbol of order m1 in (x,η) for every ν. We apply the full pre-diagonal estimate O9, including every parameter derivative, identified in Section 1 to the product (1+xn)νa1(x,η)g(y,ξ), with the multiplier acting in (y,η) and xn a passive parameter. That estimate holds at every (y,η); at y=(x′,1), η=ξ it gives
∂ξα∂xβ(b1−∣γ∣<N∑γ!1∂ηγa1(x,ξ)Dyγg((x′,1),ξ))≤C(1+xn)−ν(1+∣ξ∣)m1+m2−N−∣α∣,
with C controlled by finitely many seminorms of a1 and a2 (differentiation in x commutes with the multiplier, and a derivative of the evaluation at y=(x′,1), η=ξ is a sum of derivatives in the two sets of variables, each controlled by the estimate). Since χ=1 near 1, Dyγg((x′,1),ξ)=Dx′γ′Dsγn[a2(x′,sxn,ξ′,sξn)]s=1. So b1∈S+m1+m2 with the expansion (8.3), continuously in (a1,a2).
Step 2: the far part is residual. The factor 1−χ(1−zn) vanishes near zn=0. Off z=0 the inverse transform of a1(x,⋅) is smooth, and for ∣z∣ bounded below its derivatives are bounded by CN(1+∣z∣)−N(1+xn)−N (integrate by parts in ξ). So A1 satisfies (6.2). By lacunarity A1=0 for zn≥1, and Taylor's formula at zn=1 gives
∣∂xα∂zβA1(x,z)∣≤C∣1−zn∣N(1+∣z∣)−2N(1+xn)−N(zn≤1).(8.5)
Let G(x,y,ξ) be the integrand of (8.2) without the exponential. For yn>0 we have min(1,yn)(1+∣ξ∣)≤1+∣ξ′∣+yn∣ξn∣≤(1+yn)(1+∣ξ∣). So a derivative of a2(y′,xnyn,ξ′,ξnyn) of order γ in ξ is bounded by (1+∣ξ∣)m2−∣γ∣ times a factor (1+xn)K(yn+yn−1)K; the powers of xn come from yn-derivatives falling on the second argument. The factor A1 absorbs all of this. Near yn=0 the factor yn−K is paid for by ynN=∣1−zn∣N in (8.5). For large yn the growth is paid for by the decay in zn=1−yn. The powers of 1+xn are paid for by the decay of A1 in xn. Hence G is smooth across yn=0, and
∣∂xα∂yβ∂ξγG∣≤CN(1+∣x′−y′∣+∣1−yn∣)−N(1+xn)−N(1+∣ξ∣)m2−∣γ∣.
The phase is e−i⟨x′,ξ′⟩−iξnei⟨y,ξ⟩, so ξκb2=∫e−i⟨x′−y′,ξ′⟩−i(1−yn)ξn(−Dy)κGdy. Derivatives of b2 in x and ξ bring factors ξ′ (treated the same way) or x′−y′, 1−yn (absorbed by the decay of G). So b2∈S+−∞, continuously in (a1,a2).
Step 3: the product formula for residual a1 and compactly supported a2. Let a1∈Sla−∞, a2∈Slam2 with a2=0 for ∣x∣≥R, and u∈S. Then w=Ta2u is a bounded function with compact support, zero for xn<0. For xn>0 the kernel Ka1(x,⋅) is a Schwartz function vanishing for yn≤0 (Theorem 6.2), so for every Schwartz extension W of w∣R+n, Ta1W(x)=∫Ka1(x,y)w(y)dy=(2π)−n∫ei⟨x,η⟩a1♭(x,η)w(η)dη. Here w(η)=(2π)−n∬ei⟨y,ξ−η⟩a2♭(y,ξ)u(ξ)dξdy, absolutely convergent. Combining the integrals (absolutely convergent for fixed x),
Ta1Ta2u(x)=(2π)−n∫ei⟨x,ξ⟩c(x,ξ)u(ξ)dξ,c(x,ξ)=(2π)−n∬e−i⟨x−y,ξ−η⟩a1♭(x,η)a2♭(y,ξ)dydη.
Put b(x,ξ)=c(x,ξ′,ξn/xn), so c=b♭. The substitutions ξn↦ξn/xn, ηn↦ηn/xn, yn↦xnyn turn c into (8.4); the double integral converges absolutely because a1 is residual and y stays in a compact set. Now insert 1=χ(yn)+(1−χ(yn)). The first part is the Gauss transform (8.1) of a residual symbol with compact y-support, written as an absolutely convergent integral (as in Proposition 7.1). In the second part, integrate in η first: (2π)−n∫ei⟨x′−y′,η′⟩+i(1−yn)ηna1(x,η)dη, multiplied by 1−χ(yn)=1−χ(1−zn) with zn=1−yn, is A1(x,x′−y′,1−yn); what remains is (8.2). So Ta1Ta2=Tb1+b2 on S, in R+n.
Step 4: general a2. Let ϑ∈C0∞(Rn) equal 1 near 0 and a2,k=ϑ(x/k)a2. These are lacunary, bounded in S+m2, and converge to a2 locally uniformly with all derivatives. Since functions of x stand on the left, Ta2,ku=ϑ(⋅/k)Ta2u→Ta2u in S(R+n); so Ta1Ta2,ku→Ta1Ta2u by Theorem 5.1. On the other side, b2,k→b2 pointwise by dominated convergence. The near parts b1,k are Gauss transforms of symbols in (y,η) that stay bounded in Sm1 and converge locally smoothly; by the complete ordinary quadratic multiplier estimate O8 and parameter proof in Section 1, the transforms converge locally uniformly with all derivatives, so b1,k→b1 pointwise. All bk=b1,k+b2,k are bounded in S+m1+m2 (here m1 is any real number, since a1 is residual), so Tbku(x)→Tbu(x) for each x∈R+n by dominated convergence. Hence Ta1Ta2u=Tbu.
Step 5: general a1. Write a1=(a1)ρ+r with r=a1−(a1)ρ∈Sla−∞ (Lemma 4.4); Step 4 applies to r. Let a1,k=a1ψ(ξ/k)∈S+−∞, ψ∈C0∞ equal to 1 near 0. Then (a1,k)ρ∈Sla−∞ and (a1,k)ρ→(a1)ρ in S+m1+1. By Step 4, T(a1,k)ρTa2u=Tb(k)u, where b(k) is built from (a1,k)ρ and a2. As k→∞, the left side converges to T(a1)ρTa2u (Theorem 5.1, continuity in the symbol), and b(k) converges in S+m1+1+m2 by Steps 1–2, so the right side converges to Tbu with b built from (a1)ρ. Bilinearity gives the formula for a1.
Step 6: conclusions. Tbu=Ta1Ta2u depends only on u∣R+n, so b is lacunary by Proposition 4.3. The operator determines the symbol, so b does not depend on χ. Continuity and the expansion come from Steps 1–2. □
Remark 8.2 (The truncated symbols do not converge in the symbol topology). For the tangential-translation example in this paragraph assume n≥2. In Step 4 the symbols bk are bounded and converge pointwise, but they need not converge to b in the Fréchet topology of S+−∞, even when a1 is residual. Take a2=θ(xn), with θ∈C0∞(R) equal to 1 on [0,1], and a1=e−xnh(ξ) with 0≤h∈C0∞({∣z∣<21}), h=0. Both are lacunary, Ta2 is multiplication by θ(xn), and Ta1 commutes with translations in x′. If bk→b in S+−∞, then Tbk→Tb in the operator norm on L2(R+n), by the Schur bound of Proposition 6.4, which is linear in a seminorm of the symbol. But let u0≥0 be a bump near (0,21), and let u be a translate of u0 in x′ far outside the support of ϑ(⋅/k). Then ∥(Tbk−Tb)u∥=∥Ta1(θu0)∥>0, independently of k. So only boundedness together with pointwise convergence is available, and that is what Step 4 uses.
Example 8.3 (A totally characteristic differential operator: product, adjoint, jets). Let θ∈C0∞(R) equal 1 on [−1,2] and a(x,ξ)=θ(xn)ξn. It lies in Sla1 (strongly lacunary, since Fna is supported at t=0), and Ta=θ(xn)xnDn.
Product. In (8.3) only α=0 and α=en contribute: aa=θ2ξn2, and ∂ξna⋅Ds[θ(sxn)sξn]s=1=−iθ(θ+xnθ′)ξn. Directly, θxnDn(θxnDnu)=θ2xn2Dn2u−iθ(θ+xnθ′)xnDnu, whose compressed symbol is the same. Where θ=1 this is (xnDn)2=xn2Dn2−ixnDn, in agreement with (2.1).
Adjoint. By (7.5), the term j=0 is θξn, the term j=1 is ∂ηnDyn[θ(xnyn)ynηn]yn=1=−i(θ+xnθ′), and all later terms vanish. Directly, (θxnDn)∗=Dnxnθ=θxnDn−i(θ+xnθ′). The expansion is exact here: the difference is a differential operator with symbol in S+−∞, hence 0.
Jets. In (5.2) only akk=(1k)(−i)θ(0)=−ik is nonzero near the boundary, so Dnk(xnDnu)(x′,0)=−ikDnku(x′,0); this is Leibniz' rule for Dnk(xnw) at xn=0.
9. Extension to distributions
By duality with the adjoints of Section 7, the operators act on supported and on restricted tempered distributions.
Supported and restricted distributions
Theorem 9.1 (Extension to distributions). Let a∈Slam.
(a) For U∈S˙′(R+n) and v∈S(R+n) the pairing (U,v)=U(V), V any Schwartz extension of v, is well defined, and it identifies S˙′(R+n) with the space of continuous antilinear functionals on S(R+n).
(b) The formula
(TaU,v)=(U,Ta†v)(v∈S(R+n))(9.1)
defines a continuous map Ta:S˙′(R+n)→S˙′(R+n). For u∈S(R+n) with zero extension u0, Tau0 is the zero extension of the function Tau.
(c) The restriction map S˙′(R+n)→S′(R+n) is surjective, and its kernel is
{U∈S′:suppU⊂∂R+n}=k≥0⋃S˙k′,S˙k′={U∈S′(Rn):xnkU=0}.(9.2)
(d) TaS˙k′⊂S˙k′ for every k. Hence Ta induces a map S′(R+n)→S′(R+n). Identifying S′(R+n) with the antidual of S˙(R+n), this map is again given by (9.1), now with v∈S˙(R+n).
(e) Every element of S˙′(R+n), and every element of S′(R+n), is a weak limit of a sequence in C0∞(R+n). So the action of Ta on either space is determined by its action on C0∞(R+n).
Proof. (a) If two extensions differ by φ, then φ=0 in R+n, and U(φ)=0 by Lemma 3.1. Since ∣U(V)∣≤Cp(V) for a Schwartz seminorm p and every extension V, ∣(U,v)∣≤Cpˉ(v) with the quotient seminorm, so the functional is continuous. Conversely, a continuous antilinear λ on S(R+n) gives U(φ)=λ(φ∣R+n), which is linear and continuous on S, vanishes on C0∞(R−n) (so suppU⊂R+n), and satisfies (U,v)=λ(v).
(b) Ta† is continuous on S(R+n) (Theorem 5.1), so (9.1) defines a continuous map by (a). For u∈S(R+n), (Tau0,v)=∫R+nuTa†v=(Tau,v)L2(R+n) by Theorem 7.3(c).
(c) Surjectivity. Let w=U∣R+n, U∈S′. There is a Schwartz seminorm p with ∣U(φ)∣≤p(φ). On the subspace S˙(R+n)⊂S(R+n) (restriction is injective on it), p(v) equals the corresponding sum of suprema over R+n, a continuous seminorm pˉ of S(R+n) by Lemma 3.2(a). The antilinear functional v↦U(v) on this subspace is bounded by pˉ. By the complete Hahn–Banach theorem in seminorm form linked in Section 1, applied to the linear functional v↦U(v), it extends to S(R+n) with the same bound. By (a) the extension is some U~∈S˙′(R+n), and U~=U on C0∞(R+n). So U~∣R+n=w.
Kernel. An element of S˙′ that vanishes in R+n has support in ∂R+n; conversely xnkU=0 forces U=0 on xn=0. Let suppU⊂{xn=0}. Being tempered, U satisfies ∣U(φ)∣≤C∑∣α∣,∣β∣≤μsup∣xαDβφ∣ for some μ. Let θ∈C0∞(R) equal 1 on [−1,1] and vanish outside [−2,2], and θε(x)=θ(xn/ε). For φ∈S, (1−θε)xnμ+1φ vanishes near suppU, so U(xnμ+1φ)=U(θεxnμ+1φ). A derivative of order ∣β∣≤μ of θεxnμ+1φ is a sum of terms of size ε−iεμ+1−j∣Dγφ∣, i+j+∣γ∣=∣β∣, on ∣xn∣≤2ε; each is O(ε), with the weights xα carried by φ. So U(xnμ+1φ)=0, that is, U∈S˙μ+1′.
(d) Let U∈S˙k′ and v∈S(R+n). Then (xnkTaU,v)=(U,Ta†(xnkv)). The jets of xnkv of order <k vanish, so by Theorem 5.1(d) those of Ta†(xnkv) do too, and Lemma 3.2(d) writes it as xnkh, h∈S(R+n). So (xnkTaU,v)=(xnkU,h)=0. For the last assertion: S′(R+n) is S′ modulo the distributions vanishing in R+n, and these are exactly the tempered distributions that annihilate the closed subspace S˙(R+n) (one inclusion is Lemma 3.1 with the half spaces exchanged, the other holds because C0∞(R+n)⊂S˙(R+n)). With the Hahn–Banach theorem this identifies S′(R+n) with the antidual of S˙(R+n). If U∈S˙′(R+n) restricts to u and v∈S˙(R+n), then Ta†v∈S˙(R+n) (Theorem 5.1(d)) and (TaU,v)=(U,Ta†v)=(u,Ta†v).
(e) Let U∈S˙′(R+n). Choose ϕ∈C0∞(R+n) with ∫ϕ=1 and θ∈C0∞(Rn) equal to 1 near 0, and put Uε=θ(εx)(ϕε∗U), ϕε=ε−nϕ(⋅/ε). Then Uε∈C0∞(R+n), since supp(ϕε∗U)⊂R+n+suppϕε⊂R+n. For φ∈S, Uε(φ)=U(ϕˇε∗(θ(ε⋅)φ)), and ϕˇε∗(θ(ε⋅)φ)→φ in S. So Uε→U weakly. Restricting gives the statement for S′(R+n). Both actions of Ta are weakly continuous, being transposes of continuous maps. □
In the ordinary calculus one works modulo smooth functions, the range of operators of order −∞. Here one also loses the distributions supported on the boundary when passing to S′(R+n): they are the kernel (9.2).
By (e), the composition formula Ta1Ta2=Tb of Theorem 8.1 holds on S˙′(R+n) and on S′(R+n) as well. Indeed, both sides are weakly continuous, and by (b) they agree on C0∞(R+n).
Residual operators produce conormal distributions
Lemma 9.2 (Bounded order implies conormality). Let W∈D′(Rn). Suppose there is μ such that every D′α′(xnDn)αnW has order at most μ on every compact set (the constants may depend on α and the set). Then W∈Iμ+n/4(Rn,∂R+n).
Proof. If w has order ≤μ near the support of ϕ∈C0∞, then ∣ϕw(ξ)∣=∣w(ϕe−ix⋅ξ)∣≤C(1+∣ξ∣)μ, so ∥Πj(ϕw)∥L22≤C22jμ2jn and ϕw∈B2,∞−μ−n/2. Products of first-order operators whose principal symbols vanish on N∗(∂R+n) are, by Hadamard's lemma and the commutation argument of Proposition 2.1(c), finite sums of smooth functions times D′α′(xnDn)αn; multiplication by smooth functions preserves the local order. So all these products map W into B2,∞,loc−μ−n/2. By the definition of conormal distributions in Section 1, this says that W∈Iμ+n/4, since −(μ+n/4)−n/4=−μ−n/2. □
Theorem 9.3 (Conormal outputs). Let a∈Sla−∞ and U∈S˙′(R+n). Then suppTaU⊂R+n and TaU∈Ik(Rn,∂R+n) for some k. More precisely, if ∣(U,v)∣≤C∑∣β∣+∣γ∣≤μqβ,γ(v), then there is μ′, depending only on μ and n, such that every D′α′(xnDn)αnTaU has order at most μ′ on every compact set, and TaU∈Iμ′+n/4.
Proof. The support statement is part of Theorem 9.1. Since U is continuous on S(R+n), a bound of the stated form holds by Lemma 3.2(a). For φ∈C0∞(Rn), using the formal adjoints (xnDn)∗=Dnxn and (5.4),
(D′α′(xnDn)αnTaU,φ)=(U,Ta†D′α′(Dnxn)αnφ)=(U,Tbαφ),bα=ξ′α′(ξn−i−iξn∂ξn)αna†∈Sla−∞.
By Theorem 5.1(a), applied in the fixed class Sla0⊃Sla−∞, there are μ′ (depending only on μ and n) and a seminorm p with ∑∣β∣+∣γ∣≤μqβ,γ(Tbαφ)≤p(bα)∑∣β∣+∣γ∣≤μ′qβ,γ(φ). For φ supported in a fixed compact set the right side is at most Cp(bα)∑∣γ∣≤μ′sup∣Dγφ∣. So the order is at most μ′, with constants depending on α only through p(bα). Lemma 9.2 finishes the proof. □
In particular the wave front set of TaU lies in the conormal bundle of the boundary, since this holds for every element of Ik(Rn,∂R+n) (Section 1).