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Taubes disk barriers and monotone Dirichlet iteration

Statement

Let κ>0 and let D=∑j=1Jmj[zj] be a finite effective divisor in C, where the centers zj are distinct and mj∈N; write N=∑jmj. For any a>0 with a≥4N/κ, define u−(z)=∑j=1Jmjlog⁡∣z−zj∣2∣z−zj∣2+a This function is locally integrable and eu− extends continuously by zero at each center. It satisfies the distributional inequality ⟨Δu−+κ(1−eu−),φ⟩≥4π∑jmjφ(zj) for every nonnegative φ∈Cc∞(C), where ⟨Δu−,φ⟩:=∫Cu−Δφ dx1dx2. For every R>max⁡j∣zj∣ (with the empty maximum interpreted as 0), let DR={∣z∣<R} and define us,R(z)=∑jmjlog⁡R2∣z−zj∣2∣R2−z‾jz∣2,ψR(z)=κ4(R2−∣z∣2),AR=eus,R. In the formula for AR, define AR off the centers and extend it smoothly by zero at each center. Then us,R vanishes on ∂DR and Δus,R=4π∑jmjδzj in distributions. For every nonnegative φ∈Cc∞(DR), ⟨Δ(us,R+ψR)+κ(1−eus,R+ψR),φ⟩≤4π∑jmjφ(zj). Also, u−≤us,R+ψR on DR. Write H01(DR;R) for the closure of Cc∞(DR;R) in the real Sobolev space W1,2(DR;R). For any constant LR≥κmax⁡D‾R(AReψR), define RRf for f∈L2(DR;R) to be the unique w∈H01(DR;R) satisfying ∫DR(∇w⋅∇η+LRwη) dx1dx2=∫DRfη dx1dx2(η∈H01(DR;R)). The map RR:L2(DR;R)→H01(DR;R) is linear and satisfies RRf≥0 almost everywhere whenever f≥0 almost everywhere. Define v0=u−−us,R away from the centers and extend this difference smoothly across them, where its logarithmic terms cancel. With GR(v)=κ+LRv−κARev, one has GR(v)∈L2(DR;R) for every real v∈L2(DR;R) satisfying v0≤v≤ψR almost everywhere, and the iteration is vk+1=RR(GR(vk)). It converges pointwise and in H1(DR) to a solution vR∈C2,α(D‾R) for every 0<α<1, with v0≤vR≤ψR and zero boundary trace. Thus uR=us,R+vR solves the distributional divisor equation, satisfies u−≤uR≤0, and has uR−2∑jmjlog⁡∣z−zj∣ smooth at the centers. For the fixed singular function s(z)=2∑jmjlog⁡∣z−zj∣, every compact K⊂C and every p>2 admit constants independent of sufficiently large R such that uR−s is uniformly bounded in W2,p(K). For each 0<α<1, choosing p>2/(1−α) also gives a uniform C2,α(K) bound. These are the local compactness estimates for disk exhaustion.

Facts & Assumptions

Given: κ>0, the finite effective divisor D=∑jmj[zj], its degree N, and a radius R containing every zj.

[A1]

Full AC is the axiom base declared by The Axiom of Choice; in particular it supplies the Countable Choice hypothesis in the Sobolev, Lax–Milgram, and weak Dirichlet regularity inputs below. The Lax–Milgram use is at step 1.3; no additional arbitrary-index choice is made.

[F1]

Critical Abelian Higgs fields, winding and divisor data fixes κ=2e2ξ, the Euclidean orientation, the divisor multiplicity convention, the logarithmic center-normalization convention, and the scalar equation Δu+κ(1−eu)=4πD.

[F2]

Integer-order Sobolev spaces and their norms defines W2,p(DR) by weak derivatives and its Lp norm; its local representative and weak-derivative conventions are used for the resolvent.

[F3]

The Lax--Milgram theorem: on a real Hilbert space, a bounded coercive bilinear form and a bounded linear functional have a unique weak solution, with the norm estimate ∥u∥≤∥F∥/α; the theorem assumes Countable Choice.

[F4]

Weak maximum principle for coercive divergence-form equations: for −div⁡(A∇u)+cu=0 on a bounded C1 domain, with uniformly elliptic A, c≥0, and nonpositive boundary trace, the weak subsolution satisfies ess sup⁡u≤0.

[F5]

Weak global W2,p regularity for the Dirichlet Laplacian: on a bounded C2,α domain in dimension n≥2, if p>n and u∈H01 weakly solves −Δu=f∈Lp, then u∈W2,p∩W01,p and obeys the stated global estimate; AC and Countable Choice are hypotheses.

[F6]

The disk is a bounded W2,p-extension domain by Bounded Ck domains admit integer-order Sobolev extension, and Higher-order Sobolev embedding gives C1,β representatives for p>2 and 0<β<1−2/p.

[F7]

Global Schauder regularity for the weak Dirichlet Laplacian: on a bounded C2,α disk, a weak zero-Dirichlet solution of −Δv=f with f∈C0,α has a unique representative in C2,α.

[F8]

Interior W2,p estimate for uniformly elliptic equations with continuous coefficients: for p>2 and Δw=f∈Lp on a ball in R2, the W2,p norm on the concentric half-ball is bounded by the local Lp norms of f and w.

[F9]

Interior Schauder estimate for uniformly elliptic equations: a bounded C2 solution of Δw=f on a ball with f∈C0,α is C2,α on the concentric half-ball, with the stated scaled estimate.

[F10]

The Sobolev space H1 is a Hilbert space: under Countable Choice, H1(DR)=W1,2(DR) with its full Sobolev inner product is a Hilbert space, and H01(DR) is a closed Hilbert subspace for the restricted inner product.

[F11]

Cauchy-Schwarz inequality for L2: for f,g∈L2(DR), ∫DR∣fg∣≤∥f∥2∥g∥2.

[F12]

The modulus of an integral is bounded by the integral of the modulus: for any real g∈L1(DR), ∣∫DRg∣≤∫DR∣g∣.

[F13]

Nonnegative increasing measurable functions have increasing integrals converging to the integral of their pointwise limit; this applies on the finite disk to a constant minus the decreasing squared iteration error. Monotone convergence for the integral

[F14]

Smooth forms on compact annuli satisfy Stokes, giving integration by parts for the logarithmic distribution calculation. The general Stokes theorem

Proof

Given: The objects and hypotheses in the Statement.

1.1givenF1F14algebra

First, log⁡∣z∣2 is locally integrable and harmonic off zero. For a smooth compactly supported test function φ, apply [F14] on an annulus excluding ∣z∣≤ε to the one-form log⁡∣z∣2∗dφ−φ∗dlog⁡∣z∣2. Its inner-boundary contribution is −εlog⁡(ε2)∫02π∂rφ(ε,θ)dθ+2∫02πφ(ε,θ)dθ, which tends to 4πφ(0); the outer contribution is zero. Thus Δlog⁡∣z−zj∣2=4πδzj by translation. For z≠zj, put tj=a/(∣z−zj∣2+a). Then 0<tj<1, eu−=∏j(1−tj)mj, and direct radial differentiation gives Δu−=−4a∑jmjtj2+4π∑jmjδzj distributionally. If N>0, let t∗:=max⁡jtj; then 1−eu−≥t∗ and ∑jmjtj2≤Nt∗. Hence Δu−+κ(1−eu−)−4πD≥(κ−4N/a)t∗≥0. For N=0, u−=0 and the subsolution inequality is equality.

1.2F1givenalgebra

The denominator R2−z‾jz has no zeros on D‾R because ∣zj∣<R. The logarithmic fundamental-solution identity and the boundary equality R2∣z−zj∣2=∣R2−z‾jz∣2 for ∣z∣=R give Δus,R=4πD and us,R=0 on ∂DR. Consequently AR=eus,R is smooth and nonnegative on D‾R, vanishes at the centers, and equals one on the boundary. Since ΔψR=−κ, the supersolution residual away from the Dirac masses is ΔψR+κ(1−AReψR)=−κAReψR≤0.

1.3A1F2F3F4F10F11F12algebra

By [F10], H01(DR;R) is a real Hilbert space with the full W1,2 inner product; [F2] gives its norm. For any LR>0, [F11] and the pointwise Euclidean inequality ∣∇v⋅∇w∣≤∣∇v∣∣∇w∣ give ∣a(v,w)∣≤(1+LR)∥v∥W1,2∥w∥W1,2, so the form is bounded. Also a(v,v)≥min⁡{1,LR}∥v∥W1,22, so it is coercive. For f∈L2(DR), [F11] gives ∫∣fw∣≤∥f∥2∥w∥2, and [F12] then gives ∣∫fw∣≤∥f∥2∥w∥2≤∥f∥2∥w∥W1,2. Thus [F3] gives a unique zero-Dirichlet weak solution of (−Δ+LR)u=f. The resolver is linear by uniqueness and positivity preserving: if f≥0, then −u is a weak subsolution of (−Δ+LR)(−u)=−f≤0 with zero trace, so [F4] gives u≥0.

2.1F1F4step 1.1step 1.2algebra

The lower and upper barriers have the same logarithmic singular part, so w=u−−us,R−ψR extends continuously across every center. Their subsolution and supersolution inequalities imply Δw−cRw≥0, where cR=κ∫01exp⁡((1−t)(us,R+ψR)+tu−) dt≥0, extended continuously at the centers. On ∂DR, w=u−<0 (and w=0 when D is empty). Applying [F4] to (−Δ+cR)w≤0 with nonpositive boundary trace gives w≤0, hence v0=u−−us,R≤ψR.

2.2F3F4F5F6F7step 1.1step 1.2step 1.3algebra

Set GR(v)=κ+LRv−κARev and choose LR≥κmax⁡D‾R(AReψR). For v≤ψR, GR′(v)=LR−κARev≥0, so the iteration map TR=(−Δ+LR)−1GR is order preserving. To prove the lower comparison, put z=v0−TRv0. The logarithmic singularities in v0=u−−us,R cancel, so v0∈H1(DR); also TRv0∈H01(DR). The subsolution inequality of step 1.1 and Δus,R=4πD from step 1.2 cancel the Dirac terms and give, distributionally, Δv0+κ(1−eu−)≥0. Since u−=us,R+v0 and eus,R=AR, this is (−Δ+LR)v0≤GR(v0). The resolvent equation for TRv0 therefore makes z a weak subsolution of (−Δ+LR)z≤0. Its boundary trace is that of v0, namely u−∣∂DR≤0 because us,R=0 there; the inequality is strict for nonempty D and is equality for the empty divisor. The weak maximum principle [F4], with LR>0, gives z≤0, hence v0≤TRv0. For the upper comparison, ΔψR=−κ and the supersolution residual in step 1.2 give (−Δ+LR)ψR≥GR(ψR); both ψR and TRψR have zero trace, so positivity of the resolver from step 1.3 gives TRψR≤ψR. Thus v0≤v1≤⋯≤ψR; every iterate after v0 has zero Dirichlet trace. Each has a smooth representative: starting from smooth v0 and AR, rewrite its shifted resolvent equation as a Laplace equation, use boundedness and [F5] for W2,p, then [F6]–[F7] and local bootstrapping; this also identifies continuous representatives up to the boundary. These representatives realize the order pointwise.

3.1F2F3F11F12F13step 1.2step 1.3step 2.2algebra

The monotone iterates have a bounded pointwise limit vR on the finite disk. If C≥sup⁡DR(ψR−v0)2, then 0≤C−(vR−vk)2↑C. Applying [F13] and subtracting the finite integral of C gives ∫DR(vR−vk)2→0, so vk→vR in L2(DR). For functions v,w with v0≤v,w≤ψR, the pointwise mean-value formula gives ∣ev−ew∣≤eψR∣v−w∣; hence ∥GR(v)−GR(w)∥2≤(LR+κ∥AR∥∞emax⁡ψR)∥v−w∥2. Subtract the two resolvent equations for TRv,TRw and test with u=TRv−TRw. The form in step 1.3 satisfies a(u,u)≥min⁡{1,LR}∥u∥W1,22, while [F11] and [F12] bound the right side by ∥GR(v)−GR(w)∥2∥u∥W1,2; division when u≠0 (and trivially when u=0) gives ∥TRv−TRw∥W1,2≤min⁡{1,LR}−1∥GR(v)−GR(w)∥2. Therefore TRvk→TRvR in H01; the shifted sequence vk+1=TRvk has the same L2 limit as vk, so uniqueness of an L2 limit gives vR=TRvR. It is a weak solution of −ΔvR=κ(1−ARevR) with zero trace.

4.1A1F5F6F7F9step 3.1algebra

Since v0≤vR≤ψR and AR is bounded on D‾R, the right-hand side in step 3.1 lies in Lp(DR) for every finite p. For a prescribed 0<α<1, choose p>2/(1−α). The disk is bounded and smooth, so [F5] gives vR∈W2,p; [F6] gives a C1,β representative with β>α and zero boundary values. The nonlinear right-hand side is then C0,α, and [F7] upgrades the weak solution to C2,α(D‾R). Repeated local Schauder bootstrapping, using [F9], makes vR smooth in DR. Setting uR=us,R+vR proves its distributional equation and logarithmic center behavior.

5.1step 1.1step 2.2step 3.1step 4.1algebra

If uR were positive somewhere, its boundary value is zero and it tends to −∞ at each center, so it would attain a positive interior maximum away from the centers. There ΔuR=κ(euR−1)>0 by its equation, contradicting the second-derivative test at a maximum. Thus uR≤0; together with the lower iteration bound in step 2.2 and its limit in step 3.1 this gives u−≤uR≤0.

6.1F1F4step 1.1step 4.1step 5.1algebra

Fix a disk U=BS(0) containing the centers in its interior and let s=2∑jmjlog⁡∣z−zj∣. For every sufficiently large R, wR=uR−s is smooth on U‾. On ∂U, steps 1.1 and 5.1 give the uniform bounds u−−s≤wR≤−s, whose endpoints are finite there. On U, ΔwR=κ(esewR−1)=κ(euR−1)∈[−κ,0]. A quadratic barrier Q(z)=M+κ(S2−∣z∣2)/4, with M larger than the uniform boundary bound, satisfies Δ(wR−Q)≥0 and Δ(−wR−Q)≥0, and both differences are nonpositive on ∂U; the disk maximum principle [F4], with zero lower-order coefficient, yields ∣wR∣≤Q.

7.1F6F8F9step 6.1algebra∎

On any smaller compact disk K⋐U, [F8] applied on finitely many nested balls and the uniform L∞ bound of step 6.1 yields uniform W2,p bounds for wR for every finite p>2, since its Laplacian is bounded. For a prescribed 0<α<1, choose p>2/(1−α) and then β with α<β<1−2/p; [F6] gives a uniform C1,β bound on a slightly larger compact disk. As es is smooth and ΔwR=κ(esewR−1), the right-hand side has a uniform C0,α bound there; [F9] then yields a uniform C2,α bound on K. These bounds are independent of R and are the local compactness estimates used for disk exhaustion.

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