Limiting absorption and point spectrum

Written by GPT-6.1 Sol (OpenAI) and GPT-6 Astra (OpenAI). Self-checked by the writing AI. Original exposition: CC0.

Working question: What obstructs taking the perturbed resolvent to real energy? An eigenvector creates a pole, while a regular free shell creates a radiating boundary value. They are different phenomena. The Fredholm factor identifies the finite-dimensional obstruction, and the radiation estimates turn its kernel into rapidly decreasing eigenfunctions. The set of good energies must exclude both the free thresholds and this perturbed point spectrum.

The free resolvent has boundary values at a regular energy. After a symmetric short-range perturbation, the obstruction is a finite-dimensional space of rapidly decreasing eigenfunctions. Away from those exceptional energies, the perturbed resolvent has boundary values on the same endpoint spaces.

Let pp be a real, simply characteristic polynomial on Rn\mathbb R^n, n≥1n\geq1, with no invariant direction. Set P0=p(D)P_0=p(D), let V=∑∣β∣≤maβ(x)DβV=\sum_{|\beta|\leq m}a_\beta(x)D^\beta, with aβ∈Lloc2a_\beta\in L^2_{\mathrm{loc}}, be the symmetric short-range differential perturbation of the preceding lesson, and let HH be the self-adjoint closure on the Schwartz domain established in Self-adjoint short-range operators. We use the graph space XpX_p, local bounds MjM_j, and distribution-to-norm convergence theorem from Short-range compactness and local tests. Thus V:Xp→BV:X_p\to B is compact and

∑j≥0RjMj<∞,Rj=2j.(1) \sum_{j\geq0}R_jM_j<\infty,\qquad R_j=2^j. \tag{1}

Write Z=Z(p)Z=Z(p) for the finite set of critical values, R0(z)=(P0−z)−1R_0(z)=(P_0-z)^{-1}, and R0,±(λ)=R0(λ±i0)R_{0,\pm}(\lambda)=R_0(\lambda\pm i0). At a real regular energy the two signs are kept separate. Pairings are linear in their first entry.

The compact alternative in Self-adjoint short-range operators gives closed range and index zero on the Banach space BB. We also use its extended symmetry and nonreal resolvent factorization. Proposition 4.1 proves the compact-family argument needed at real energy. The endpoint duality is established in Endpoint spaces and flat energy shells.

For further reading on the compactness and limiting-absorption method, see Kuroda [K], Sections 5.7 and 6.1.

1. Compactness throughout a closed half-plane

Lemma 1.1. If KK is a compact subset of either closed half-plane, avoiding ZZ, the family

C(z)=VR0(z):B⟶B,z∈K,(2) C(z)=VR_0(z):B\longrightarrow B,\qquad z\in K, \tag{2}

is strongly continuous and collectively compact. Precisely, C(z)fC(z)f is norm continuous for every fixed f∈Bf\in B, and the union of all C(z)C(z) images of the unit ball has compact closure in BB.

Proof. Global polynomial resolvent estimates, Theorem 1.1, bounds R0(z):B→XpR_0(z):B\to X_p uniformly on KK. Compactness of VV therefore proves the assertion about the union of images. If zν→zz_\nu\to z on that side, free weak-star continuity gives R0(zν)f→R0(z)fR_0(z_\nu)f\to R_0(z)f in distributions, while these inputs are bounded in XpX_p. Theorem 4.1 of the compactness lesson gives VR0(zν)f→VR0(z)fVR_0(z_\nu)f\to VR_0(z)f in BB. Sequential continuity is continuity on the compact metric set KK. □\square

At a regular real energy, put

N±(λ)=ker⁡B(I+VR0,±(λ)). N_\pm(\lambda)=\ker_B(I+VR_{0,\pm}(\lambda)).

Lemma 1.2. N+(λ)=N−(λ)N_+(\lambda)=N_-(\lambda). For ff in either kernel,

u=R0,+(λ)f=R0,−(λ)f,(p(D)+V−λ)u=0.(3) u=R_{0,+}(\lambda)f=R_{0,-}(\lambda)f,\qquad (p(D)+V-\lambda)u=0. \tag{3}

Proof. Start with f+VR0,+f=0f+VR_{0,+}f=0. The wave u=R0,+fu=R_{0,+}f belongs to XpX_p, solves (p(D)−λ)u=f=−Vu(p(D)-\lambda)u=f=-Vu, and is outgoing. Extended symmetry makes (u,Vu)(u,Vu) real, so (u,f)(u,f) is real. The flux criterion, Corollary 5.2 of Global radiation and flux, says that this wave is incoming as well. Hence u=R0,−fu=R_{0,-}f, giving f+VR0,−f=0f+VR_{0,-}f=0. Interchange the signs to obtain the reverse inclusion. □\square

The same radiation lesson says that a wave which is both incoming and outgoing has zero Fourier trace of its forcing and belongs to B0∗B^*_0. These facts permit the weighted estimate used next.

2. Rapid decay and the closed operator domain

Lemma 2.1 (weighted local estimate). Let μ>0\mu>0 be differentiable and increasing on [0,∞)[0,\infty), with

(1+t)μ′(t)≤Nμ(t).(4) (1+t)\mu'(t)\leq N\mu(t). \tag{4}

Write

Uμ(u)=∑α∥μ(∣x∣)(∂αp)(D)u∥B∗. U_\mu(u)=\sum_\alpha\|\mu(|x|)(\partial^\alpha p)(D)u\|_{B^*}.

Whenever this is finite, for all sufficiently large JJ,

∥μ(∣x∣)Vu∥B≤CNμ(RJ+c)∥Vu∥B+CNUμ(u)∑j≥JRjMj.(5) \|\mu(|x|)Vu\|_B \leq C_N\mu(R_{J+c})\|Vu\|_B +C_N U_\mu(u)\sum_{j\geq J}R_jM_j. \tag{5}

Here the fixed integer cc and the constants depend on the partition used in the local test, on pp, and on NN, but not on the maximum value of μ\mu.

Proof. The derivative of μ(t)/(1+t)N\mu(t)/(1+t)^N is nonpositive by (4). The scalar mean-value theorem therefore gives μ(b)/μ(a)≤[(1+b)/(1+a)]N\mu(b)/\mu(a)\leq[(1+b)/(1+a)]^N for 0≤a≤b0\leq a\leq b. Together with monotonicity, this bounds the ratio at comparable radii, with a constant depending only on NN. Use the lattice partition ϕk\phi_k in the local criterion of Short-range compactness and local tests. Polynomial Leibniz gives

p(D)(ϕku)=∑α(Dαϕk)(∂αp)(D)u/α!. p(D)(\phi_k u)= \sum_\alpha (D^\alpha\phi_k)(\partial^\alpha p)(D)u/\alpha!.

On pieces whose centres have radius comparable to RjR_j, the lower bound for μ(∣x∣)\mu(|x|) on their supports and finite overlap give

∑k:yk∈Aj∥p(D)(ϕku)∥22≤CNRjμ(Rj)−2Uμ(u)2.(6) \sum_{k:y_k\in A_j}\|p(D)(\phi_k u)\|_2^2 \leq C_N R_j\mu(R_j)^{-2}U_\mu(u)^2. \tag{6}

The local definition of MjM_j applies to these graph-space pieces by their compact-support smooth approximation: mollify inside the slightly larger fixed support ball. Each polynomial graph component converges in L2L^2; the local support and graph inequalities from the same criterion pass the estimate to the limit. Their differential outputs have the same supports. Finite overlap and comparison of adjacent weights therefore bound the late output shell by

∥μVu∥L2(Aℓ)≤CNRℓ1/2(Mℓ−1+Mℓ+Mℓ+1)Uμ(u). \|\mu Vu\|_{L^2(A_\ell)} \leq C_N R_\ell^{1/2} (M_{\ell-1}+M_\ell+M_{\ell+1})U_\mu(u).

For all output shells beyond a fixed enlargement of RJR_J, multiply by Rℓ1/2R_\ell^{1/2} and sum. This is the second term in (5), after enlarging the constant. In the remaining ball, μ(∣x∣)≤μ(RJ+c)\mu(|x|)\leq\mu(R_{J+c}), giving the first term directly from ∥Vu∥B\|Vu\|_B. □\square

Theorem 2.2. Suppose λ∉Z\lambda\notin Z, u∈Xpu\in X_p, and

(p(D)+V−λ)u=0.(7) (p(D)+V-\lambda)u=0. \tag{7}

If uu is both incoming and outgoing, then, for every integer L≥0L\geq0 and every α\alpha,

(1+∣x∣)L(∂αp)(D)u∈L2.(8) (1+|x|)^L(\partial^\alpha p)(D)u\in L^2. \tag{8}

Moreover u∈D(H)u\in\mathcal D(H) and Hu=λuHu=\lambda u. On compact regular energy sets, the norms in (8) are bounded by a constant times ∥u∥Xp\|u\|_{X_p}, uniformly for all such solutions.

Proof. Fix an integer N≥1N\geq1, and use bounded weights

με(t)=(1+t1+εt)N,0<ε<1.(9) \mu_\varepsilon(t)=\left(\frac{1+t}{1+\varepsilon t}\right)^N, \qquad 0<\varepsilon<1. \tag{9}

They increase, and

(1+t)με′(t)με(t)=N(1−ε)1+εt≤N.(10) (1+t)\frac{\mu_\varepsilon'(t)}{\mu_\varepsilon(t)} =\frac{N(1-\varepsilon)}{1+\varepsilon t}\leq N. \tag{10}

Thus Uε=Uμε(u)U_\varepsilon=U_{\mu_\varepsilon}(u) is initially finite. Equation (7) gives u=−R0,±Vuu=-R_{0,\pm}Vu; the common boundary value has TλVu=0T_\lambda Vu=0. The weighted zero-trace theorem in Global polynomial resolvent estimates, applied to every polynomial derivative of pp, yields

Uε≤CN∥μεVu∥B.(11) U_\varepsilon\leq C_N\|\mu_\varepsilon Vu\|_B. \tag{11}

Each derivative has weakness ratio at most one, because its strength is bounded by p~\widetilde p. The weight is bounded for each ε>0\varepsilon>0, so μεVu∈B\mu_\varepsilon Vu\in B; the zero-trace theorem applies before any limiting argument. Its constants depend on NN and the compact regular energy set, and are uniform in ε\varepsilon. Combine (5) with (11). Choose JJ, independent of ε\varepsilon, so that the coefficient of UεU_\varepsilon from the tail is at most 1/21/2, using (1). Since με(RJ+c)≤(1+RJ+c)N\mu_\varepsilon(R_{J+c})\leq(1+R_{J+c})^N, absorption gives

Uε≤CN,J∥Vu∥B≤CN,J′∥u∥Xp.(12) U_\varepsilon\leq C_{N,J}\|Vu\|_B \leq C'_{N,J}\|u\|_{X_p}. \tag{12}

As ε↓0\varepsilon\downarrow0, the weights increase to (1+t)N(1+t)^N. Fatou on each shell gives the same B∗B^* bound for every (1+∣x∣)N(∂αp)(D)u(1+|x|)^N(\partial^\alpha p)(D)u. To obtain (8) at exponent LL, use this bound at exponent N=L+1N=L+1. The squared weighted L2L^2 norm on shell AjA_j is then at most CRj−1C R_j^{-1}; summing these numbers and treating the inner ball proves (8). This also proves the asserted uniformity.

Here is the domain argument. If all (∂αp)(D)v(\partial^\alpha p)(D)v are in L2L^2, then v∈Xpv\in X_p, and h=p(D)v+Vv∈L2h=p(D)v+Vv\in L^2. For ϕ∈S\phi\in\mathcal S, polynomial distributional integration and the extended symmetry of VV give

(v,Pϕ)=(h,ϕ),P=p(D)+V on S.(13) (v,P\phi)=(h,\phi),\qquad P=p(D)+V\text{ on }\mathcal S. \tag{13}

This is the adjoint-domain criterion. Essential self-adjointness gives P∗=HP^*=H, so v∈D(H)v\in\mathcal D(H) and Hv=hHv=h. Apply it to (8), including the nonzero constant derivative that controls uu, to finish the proof. □\square

The conclusion is decay of the indicated polynomial graph components. Smoothness of arbitrary order is not asserted for rough coefficients.

3. Isolated exceptional energies

Define the exceptional set by its endpoint kernel:

A={λ∈R∖Z:N+(λ)≠{0}}.(14) \mathcal A=\{\lambda\in\mathbb R\setminus Z:N_+(\lambda)\ne\{0\}\}. \tag{14}

Theorem 3.1. Each N+(λ)N_+(\lambda) is finite dimensional. The set A\mathcal A has no accumulation point in R∖Z\mathbb R\setminus Z.

Proof. VR0,+(λ)VR_{0,+}(\lambda) is compact by Lemma 1.1, so the preceding compact alternative gives a finite kernel. Equivalently, R0,+(λ)VR_{0,+}(\lambda)V is compact on XpX_p; the maps f↦R0,+ff\mapsto R_{0,+}f and u↦−Vuu\mapsto -Vu identify the two kernels. Injectivity of the first follows by applying p(D)−λp(D)-\lambda; the inverse identities follow from (3).

If distinct λν∈A\lambda_\nu\in\mathcal A converged to a regular λ\lambda, choose corresponding waves with ∥uν∥Xp=1\|u_\nu\|_{X_p}=1. Lemma 1.2 and Theorem 2.2 give Huν=λνuνHu_\nu=\lambda_\nu u_\nu and uniform bounds (8) for every exponent.

For a compact cutoff χ\chi, polynomial Leibniz bounds ∥p(D)(χuν)∥2\|p(D)(\chi u_\nu)\|_2 uniformly. Strength properness gives p~(ξ)→∞\widetilde p(\xi)\to\infty at frequency infinity. Proposition 5.1 of the compactness lesson, with Q=1Q=1, therefore makes χuν\chi u_\nu precompact in L2L^2. Its compactly supported graph inputs are in the local test completion: mollification of χuν\chi u_\nu converges in its finitely many L2L^2 graph components, so the compactness assertion extends from smooth tests to these inputs. A countable family of nested cutoffs and a diagonal extraction gives local L2L^2 convergence. The uniform weighted L2L^2 bound makes the spatial tails small, giving global convergence uν→uu_\nu\to u along a subsequence.

Then Huν=λνuν→λuHu_\nu=\lambda_\nu u_\nu\to\lambda u. Closedness of HH implies Hu=λuHu=\lambda u. Discard the at most one index with λν=λ\lambda_\nu=\lambda. Self-adjointness then gives (uν,u)=0(u_\nu,u)=0. Passing to the limit gives ∥u∥22=0\|u\|_2^2=0. Thus the subsequence tends to zero in distributions while staying bounded in XpX_p. The distribution-to-norm theorem yields Vuν→0Vu_\nu\to0 in BB. Uniform free resolvent bounds now give

1=∥uν∥Xp=∥R0,+(λν)Vuν∥Xp⟶0, 1=\|u_\nu\|_{X_p} =\|R_{0,+}(\lambda_\nu)Vu_\nu\|_{X_p}\longrightarrow0,

a contradiction. □\square

Consequently Z∪AZ\cup\mathcal A is closed and countable. Indeed, for each positive integer kk, the compact set Ek={t:∣t∣≤k, dist⁡(t,Z)≥1/k}E_k=\{t:|t|\leq k,\ \operatorname{dist}(t,Z)\geq1/k\} contains only finitely many points of A\mathcal A; otherwise compactness would give a regular accumulation point. If ZZ is empty, use Ek=[−k,k]E_k=[-k,k]. These sets exhaust R∖Z\mathbb R\setminus Z, proving countability; every finite accumulation point lies in the finite closed set ZZ, proving closedness of the union. Accumulation at a threshold is allowed.

4. Inverting a strongly continuous compact family

The following proposition isolates the exact family statement needed at the boundary.

Proposition 4.1. Let KK be compact and metrizable, and let C(z)C(z) be a strongly continuous, collectively compact family on a Banach space YY. The set

Kbad={z:I+C(z) is not invertible} K_{\mathrm{bad}}=\{z:I+C(z)\text{ is not invertible}\}

is compact. On its complement the inverses are locally bounded in operator norm and strongly continuous.

Proof. Set A(z)=I+C(z)A(z)=I+C(z). The collectively compact unit-ball image is bounded, so sup⁡K∥C(z)∥<∞\sup_K\|C(z)\|<\infty. Fix a good parameter z0z_0. There are a neighborhood of z0z_0 and c>0c>0 with ∥A(z)v∥≥c∥v∥\|A(z)v\|\geq c\|v\| throughout that neighborhood. Otherwise metrizability gives zj→z0z_j\to z_0 and ∥vj∥=1\|v_j\|=1 with A(zj)vj→0A(z_j)v_j\to0. Collective compactness gives a convergent subsequence of C(zj)vjC(z_j)v_j, so vj=A(zj)vj−C(zj)vjv_j=A(z_j)v_j-C(z_j)v_j converges to a unit vector vv. Uniform boundedness and strong continuity give ∥C(zj)vj−C(z0)v∥≤sup⁡K∥C∥ ∥vj−v∥+∥(C(zj)−C(z0))v∥⟶0. \|C(z_j)v_j-C(z_0)v\| \leq \sup_K\|C\|\,\|v_j-v\| +\|(C(z_j)-C(z_0))v\|\longrightarrow0. Consequently A(z0)v=0A(z_0)v=0, contradicting its invertibility. The lower bound makes every nearby A(z)A(z) injective. The compact alternative already proved in the self-adjointness lesson makes it onto as well, with inverse norm at most 1/c1/c. Thus the good set is open, its closed complement in KK is compact, and the inverses are locally bounded.

For fixed f∈Yf\in Y, put vν=A(zν)−1fv_\nu=A(z_\nu)^{-1}f, where zν→zz_\nu\to z are good parameters. The local inverse bound makes this sequence bounded. Collective compactness and vν=f−C(zν)vνv_\nu=f-C(z_\nu)v_\nu make it precompact. If a subsequence tends to vv, the estimate ∥C(zν)vν−C(z)v∥≤sup⁡K∥C∥∥vν−v∥+∥(C(zν)−C(z))v∥→0 \|C(z_\nu)v_\nu-C(z)v\| \leq\sup_K\|C\|\|v_\nu-v\|+\|(C(z_\nu)-C(z))v\|\to0 shows that A(z)v=fA(z)v=f. The uniform norm bound for CC follows from its bounded collective unit-ball image. The solution at zz is unique, so every cluster point equals A(z)−1fA(z)^{-1}f. Failure of convergence would supply a subsequence separated from that solution, contradicting precompactness. This proves strong continuity. □\square

Theorem 4.2 (limiting absorption). On either closed half-plane outside Z∪AZ\cup\mathcal A, for every fixed f∈Bf\in B,

T(z)f=(I+VR0(z))−1f(15) T(z)f=(I+VR_0(z))^{-1}f \tag{15}

is norm continuous in BB. The inverses are locally bounded in operator norm. The formula

RH(z)f=R0(z)T(z)f(16) R_H(z)f=R_0(z)T(z)f \tag{16}

extends the Hilbert resolvent to real boundary values RH,±(λ):B→XpR_{H,\pm}(\lambda):B\to X_p, locally uniformly bounded, with weak-star continuous graph components.

Proof. Nonreal invertibility is established in the self-adjointness lesson. At real regular energies, (14) and Lemma 1.2 identify exactly the failures of injectivity on both sides. Compactness and index zero identify these with the failures of invertibility. Apply Lemma 1.1 and Proposition 4.1 on compact neighborhoods within either side to get (15) and its bounds.

In (16), the change in T(z)fT(z)f is controlled in BB, and the free maps are uniformly bounded into XpX_p. The change in the free map on a fixed forcing is weak-star continuous in each component. More explicitly, for zν→zz_\nu\to z on the chosen side,

RH(zν)f−RH(z)f=R0(zν)(T(zν)f−T(z)f)+(R0(zν)−R0(z))T(z)f. \begin{aligned} R_H(z_\nu)f-R_H(z)f &=R_0(z_\nu)\bigl(T(z_\nu)f-T(z)f\bigr)\\ &\quad+\bigl(R_0(z_\nu)-R_0(z)\bigr)T(z)f. \end{aligned}

The first term tends to zero in XpX_p; every graph component of the second tends weak-star to zero. This proves the claimed continuity. In the open half-plane this is the Hilbert resolvent by the previously proved factorization, so the real values are its actual limits. Distributionally, (p(D)+V−λ)RH,±(λ)f=f(p(D)+V-\lambda)R_{H,\pm}(\lambda)f=f. □\square

Away from A\mathcal A, (16) is also the unique outgoing or incoming XpX_p solution, respectively. Indeed such a solution satisfies u=R0,±(f−Vu)u=R_{0,\pm}(f-Vu). Its free forcing h=f−Vuh=f-Vu solves (I+VR0,±)h=f(I+VR_{0,\pm})h=f, which has exactly the solution (15).

5. Every square-integrable eigenfunction and the range obstruction

Theorem 5.1. For λ∉Z\lambda\notin Z, choose a basis f1,…,frf_1,\ldots,f_r of N+(λ)N_+(\lambda), allowing r=0r=0. Then

uj=R0,+(λ)fj(17) u_j=R_{0,+}(\lambda)f_j \tag{17}

is a basis of ker⁡L2(H−λ)\ker_{L^2}(H-\lambda). Each uju_j satisfies (8). For g∈Bg\in B,

∃f∈B: (I+VR0,+(λ))f=g⟺(g,uj)=0(1≤j≤r).(18) \exists f\in B:\ (I+VR_{0,+}(\lambda))f=g \quad\Longleftrightarrow\quad (g,u_j)=0\quad(1\leq j\leq r). \tag{18}

The same statement holds with the lower boundary. In particular, outside ZZ the point spectrum is discrete, has finite multiplicity, and all its eigenfunctions satisfy (8).

Proof. Lemma 1.2 and Theorem 2.2 show that the vectors in (17) are rapidly decreasing eigenfunctions. They are independent, since fj=(p(D)−λ)ujf_j=(p(D)-\lambda)u_j.

To include an arbitrary U∈D(H)U\in\mathcal D(H) with HU=λUHU=\lambda U, first prove that it annihilates the range in (18). If g=(I+VR0,+)fg=(I+VR_{0,+})f, let v=R0,+f∈Xpv=R_{0,+}f\in X_p. Thus (p(D)+V−λ)v=g(p(D)+V-\lambda)v=g. Choose a real smooth χ\chi, equal to one near zero and compactly supported, and set vR=χ(x/R)vv_R=\chi(x/R)v. Every polynomial graph component of vRv_R is in L2L^2, by Leibniz and compact support. The domain argument (13) therefore puts vRv_R in D(H)\mathcal D(H). It gives

(H−λ)vR=χRg+[p(D),χR]v+VvR−χRVv.(19) (H-\lambda)v_R =\chi_Rg+[p(D),\chi_R]v +Vv_R-\chi_RVv. \tag{19}

The commutator is

[p(D),χR]v=∑∣α∣≥1R−∣α∣(Dαχ)(x/R)(∂αp)(D)v/α!.(20) [p(D),\chi_R]v =\sum_{|\alpha|\geq1} R^{-|\alpha|}(D^\alpha\chi)(x/R) (\partial^\alpha p)(D)v/\alpha!. \tag{20}

Its support lies in an annulus of radius comparable to RR. Each graph component has L2L^2 norm at most CR1/2∥v∥XpC R^{1/2}\|v\|_{X_p} there, so (20) tends to zero in L2L^2, at worst like R−1/2R^{-1/2}. The inputs vRv_R are uniformly bounded in XpX_p and converge to vv distributionally. Hence VvR→VvVv_R\to Vv in BB. Also χRVv→Vv\chi_RVv\to Vv in BB, by the summable shell norm and ordinary dominated convergence on finitely many shells. Finally χRg→g\chi_Rg\to g in L2L^2. Thus the right side of (19) converges to gg in L2L^2. Pairing against UU gives

0=((H−λ)vR,U)⟶(g,U).(21) 0=((H-\lambda)v_R,U)\longrightarrow(g,U). \tag{21}

Index zero says that the closed range in BB has codimension rr. Its annihilator in B∗B^* therefore has dimension rr: it is the dual of the finite-dimensional quotient by that range. The independent vectors u1,…,uru_1,\ldots,u_r lie in this annihilator by (21), so they form its basis. Every L2L^2 eigenfunction UU, viewed in B∗B^*, lies there too and is their linear combination. Equality of these functionals is equality of the distributions, since compact smooth functions lie in BB. This proves the basis assertion and shows that the range is exactly the simultaneous kernel of their rr pairings, proving (18). The sign exchange follows from Lemma 1.2 and the identical cutoff argument. The final statement follows from Theorem 3.1. □\square

For the example, we need a scalar consequence of the integrable primitive proof. If w,w′∈Lloc2(R)w,w'\in L^2_{\mathrm{loc}}(\mathbb R), put F(x)=∫0xw′(t) dtF(x)=\int_0^x w'(t)\,dt. Local Cauchy–Schwarz makes the integrand locally integrable. That proof gives a locally absolutely continuous FF, and scalar Fubini gives its distributional derivative w′w'. Thus h=w−Fh=w-F has zero distributional derivative. Every compact smooth test of integral zero is the derivative of its compactly supported smooth primitive. Consequently hh annihilates those tests. Fix a compact smooth test ϑ\vartheta of integral one and subtract (∫ϕ)ϑ(\int\phi)\vartheta from any test ϕ\phi; this shows that hh is the constant distribution c=∫hϑc=\int h\vartheta. Equality of locally integrable distributions is equality almost everywhere: convolution with the normalized smooth bumps gives zero, and local mollifier convergence recovers the function. Hence w=F+cw=F+c almost everywhere and has the required locally absolutely continuous representative. If w′=−aww'=-a w with continuous aa, this representative makes the right side continuous; the continuous primitive theorem then makes ww continuously differentiable with that equation everywhere.

Example 5.2. In one dimension take

H=−d2dx2−2sech⁡2x,u(x)=sech⁡x.(22) H=-\frac{d^2}{dx^2}-2\operatorname{sech}^2x,\qquad u(x)=\operatorname{sech}x. \tag{22}

The potential is bounded, symmetric and short range. Since u′′=u−2u3u''=u-2u^3, Hu=−uHu=-u. The energy −1-1 is regular for p(ξ)=ξ2p(\xi)=\xi^2, whose only threshold is zero. The forcing in its endpoint kernel is f=−Vu=2u3f=-Vu=2u^3. Thus the obstruction at −1-1 is already visible in the free resolvent below the free spectrum. To see its multiplicity, write A=∂x+tanh⁡xA=\partial_x+\tanh x. Then H+1=A∗AH+1=A^*A; an eigenfunction at −1-1 satisfies Au=0Au=0, whose solutions are constant multiples of sech⁡x\operatorname{sech}x. Here D(H)=H2\mathcal D(H)=H^2, by the bounded-potential domain result, so the integration giving (A∗Au,u)=∥Au∥22(A^*Au,u)=\|Au\|_2^2 is valid. Equation (18) becomes ∫g(x)sech⁡x dx=0\int g(x)\operatorname{sech}x\,dx=0.

Here are the domain and calculation details. Define cosh⁡x=(ex+e−x)/2\cosh x=(e^x+e^{-x})/2, sinh⁡x=(ex−e−x)/2\sinh x=(e^x-e^{-x})/2, tanh⁡x=sinh⁡x/cosh⁡x\tanh x=\sinh x/\cosh x, and sech⁡x=1/cosh⁡x\operatorname{sech}x=1/\cosh x, using the exponential and its derivative. Then cosh⁡′=sinh⁡\cosh' =\sinh, sinh⁡′=cosh⁡\sinh'=\cosh, cosh⁡2−sinh⁡2=1\cosh^2-\sinh^2=1, and cosh⁡x≥e∣x∣/2\cosh x\geq e^{|x|}/2. Quotient differentiation gives u′=−utanh⁡xu'=-u\tanh x, u′′=u−2u3u''=u-2u^3, and (tanh⁡x)′=u2(\tanh x)'=u^2. Thus u,u′,u′′u,u',u'' decrease at least exponentially, giving u∈H2u\in H^2 and 2u3∈B2u^3\in B by direct summation of the dyadic shell bounds. The same decay makes the potential satisfy the short-range coefficient criterion. The polynomial p(ξ)=ξ2p(\xi)=\xi^2 has p~(ξ)2=ξ4+4ξ2+4\widetilde p(\xi)^2=\xi^4+4\xi^2+4, is simply characteristic, and has no invariant direction. Its only critical value is zero.

The bounded perturbation theorem realizes HH on H2H^2. It agrees with the Schwartz closure: both are self-adjoint extensions of the same restriction, and taking adjoints reverses their inclusion. On H1H^1, let A=∂x+tanh⁡xA=\partial_x+\tanh x. Distributional integration by parts identifies its adjoint as A∗=−∂x+tanh⁡xA^*=-\partial_x+\tanh x, also on H1H^1: membership in the adjoint domain forces the weak derivative to be in L2L^2, and the converse follows by smooth approximation. Since tanh⁡\tanh and its derivative are bounded, multiplication by tanh⁡\tanh preserves H1H^1. Hence U∈H1U\in H^1 and AU∈H1AU\in H^1 hold exactly when U∈H2U\in H^2. This proves D(A∗A)=H2\mathcal D(A^*A)=H^2 and the displayed operator factorization on its full domain. Alternatively, the form calculation on compact smooth tests passes to H2H^2 by the Sobolev approximation theorem.

For an eigenfunction at −1-1, the norm identity gives U′=−tanh⁡x UU'=-\tanh x\,U. The scalar primitive argument just proved makes UU continuously differentiable; therefore (cosh⁡x U(x))′=0(\cosh x\,U(x))'=0 everywhere. The mean-value theorem, applied to the real and imaginary parts, gives U=csech⁡xU=c\operatorname{sech}x. Finally P0+1P_0+1 is the positive Fourier multiplier 1+ξ21+\xi^2, so its inverse on L2L^2 sends f=2u3=(P0+1)uf=2u^3=(P_0+1)u to uu, as claimed.

Use the conclusion

Follow one kernel vector through the weighted bootstrap before reading the continuity theorem. Distinguish strong continuity on each forcing term from operator-norm continuity, and retain the reduced boundary value at an exceptional energy.

6. Exercises

Exercise 6.1 (foundation). Verify (10), and explain why με\mu_\varepsilon is bounded for each positive ε\varepsilon although the limiting weight is unbounded.

Exercise 6.2 (foundation). Suppose ∥(1+∣x∣)L+1w∥B∗≤C\|(1+|x|)^{L+1}w\|_{B^*}\leq C. Prove (1+∣x∣)Lw∈L2(1+|x|)^Lw\in L^2 directly from the dyadic norms, including the inner shell.

Exercise 6.3 (intermediate). On Y=ℓ2(N)Y=\ell^2(\mathbb N), let K={0}∪{1/n:n≥2}K=\{0\}\cup\{1/n:n\geq2\}, C(0)=0C(0)=0, and C(1/n)x=xne1C(1/n)x=x_ne_1. Prove strong continuity and collective compactness. Compute (I+C(1/n))−1(I+C(1/n))^{-1}, and determine whether the family or its inverses converge in operator norm.

Exercise 6.4 (intermediate). Derive the leading R−1/2R^{-1/2} estimate in (20). Show how it still permits pairing with any L2L^2 eigenfunction, without an endpoint graph estimate on that eigenfunction.

Exercise 6.5 (advanced). For (22), verify the factorization H+1=A∗AH+1=A^*A, the one-dimensional eigenspace at −1-1, and its endpoint forcing f=2sech⁡3xf=2\operatorname{sech}^3x. State the exact Fredholm range condition for a complex-valued g∈Bg\in B.

7. Complete solutions

Solution 6.1. Logarithmic differentiation of (9) gives με′/με=N[(1+t)−1−ε(1+εt)−1]\mu_\varepsilon'/\mu_\varepsilon=N[(1+t)^{-1}-\varepsilon(1+\varepsilon t)^{-1}]. Subtracting the fractions gives N(1−ε)/[(1+t)(1+εt)]N(1-\varepsilon)/[(1+t)(1+\varepsilon t)], which is nonnegative and gives (10). The ratio in (9) increases from 11 to 1/ε1/\varepsilon, so με≤ε−N\mu_\varepsilon\leq\varepsilon^{-N}. At every fixed tt, it tends increasingly to (1+t)N(1+t)^N. This bounded approximation makes the initial weighted graph norm finite and allows Fatou after the uniform estimate.

Solution 6.2. For j≥1j\geq1, 1+∣x∣1+|x| is comparable to RjR_j on AjA_j. Thus ∥(1+∣x∣)Lw∥L2(Aj)2≤CLRj−2∥(1+∣x∣)L+1w∥L2(Aj)2≤CLC2Rj−1. \|(1+|x|)^Lw\|_{L^2(A_j)}^2 \leq C_L R_j^{-2} \|(1+|x|)^{L+1}w\|_{L^2(A_j)}^2 \leq C_L C^2 R_j^{-1}. The series ∑j≥12−j\sum_{j\geq1}2^{-j} converges. On A0A_0, 1+∣x∣1+|x| is bounded and at least one, and its weighted L2L^2 norm is bounded by the R0=1R_0=1 component of the given B∗B^* norm. Adding these estimates proves the result.

Solution 6.3. Every fixed ℓ2\ell^2 vector has xn→0x_n\to0, so C(1/n)x→0C(1/n)x\to0. The nonzero parameters are isolated, proving strong continuity on KK. The union of unit-ball images is the closed unit disc in the one-dimensional space Ce1\mathbb Ce_1, hence compact. For n≥2n\geq2, C(1/n)2=0C(1/n)^2=0, since the nn-th coordinate of e1e_1 is zero. Therefore (I+C(1/n))−1=I−C(1/n). (I+C(1/n))^{-1}=I-C(1/n). Both ∥C(1/n)∥\|C(1/n)\| and ∥(I+C(1/n))−1−I∥\|(I+C(1/n))^{-1}-I\| equal one, as testing on ene_n shows. Neither converges in operator norm; both converge strongly. This demonstrates the precise continuity guaranteed by Proposition 4.1.

Solution 6.4. On the annulus supporting Dαχ(x/R)D^\alpha\chi(x/R), the ball comparison for B∗B^* gives ∥(∂αp)(D)v∥2≤CR1/2∥v∥Xp\|(\partial^\alpha p)(D)v\|_2\leq C R^{1/2}\|v\|_{X_p}. The bounded cutoff derivative and its factor R−∣α∣R^{-|\alpha|} therefore give ∥R−∣α∣(Dαχ)(x/R)(∂αp)(D)v∥2≤CαR1/2−∣α∣∥v∥Xp. \|R^{-|\alpha|}(D^\alpha\chi)(x/R) (\partial^\alpha p)(D)v\|_2 \leq C_\alpha R^{1/2-|\alpha|}\|v\|_{X_p}. The largest exponent for ∣α∣≥1|\alpha|\geq1 is −1/2-1/2. There are finitely many terms, so their sum tends to zero in L2L^2. Its pairing with U∈L2U\in L^2 is at most this norm times ∥U∥2\|U\|_2, which tends to zero. No graph derivative of UU is needed.

Solution 6.5. On smooth compact tests A∗=−∂x+tanh⁡xA^*=-\partial_x+\tanh x, and A∗A=−∂x2−(tanh⁡x)′+tanh⁡2x=−∂x2+1−2sech⁡2x=H+1. A^*A=-\partial_x^2-(\tanh x)'+\tanh^2x =-\partial_x^2+1-2\operatorname{sech}^2x=H+1. The same form identity holds on H2H^2, by Sobolev approximation or integration by parts with cutoffs. An eigenfunction UU at −1-1 has ∥AU∥22=((H+1)U,U)=0\|AU\|_2^2=((H+1)U,U)=0. Hence U′=−tanh⁡x UU'=-\tanh x\,U in distributions. Since U∈H2U\in H^2, it has a locally absolutely continuous representative, and integrating this equation gives U=csech⁡xU=c\operatorname{sech}x. This function lies in H2H^2 and satisfies the eigen-equation. The forcing is f=(P0+1)u=−Vu=2sech⁡3xf=(P_0+1)u=-Vu=2\operatorname{sech}^3x, a member of BB, and R0(−1)f=uR_0(-1)f=u. The endpoint kernels have dimension one. Since uu is real, their range condition is exactly ∫Rg(x)sech⁡x dx=0\int_{\mathbb R}g(x)\operatorname{sech}x\,dx=0, a complex equality for complex gg.

References