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NtD smoothing and Hilbert–Schmidt kernel bounds

Statement

Assume the Axiom of Choice and Countable Choice, let d≥2, let Ω⊂(0,1)d be nonempty, bounded, connected and C∞, and let γ∈Xd(R). Write M=∂Ω, n=d−1, and let Aγ and A~γ be the mean-zero smoothed NtD observation and its extension from the preceding definition. Then A~γ is Hilbert–Schmidt on L2(M) and has a unique zero-mean-in-each-variable kernel κγ∈L2(M×M), with ∥κγ∥L2(M×M)=∥A~γ∥HS. The Hilbert–Schmidt norms are uniformly bounded over Xd(R). Moreover, there is C<∞, depending only on the fixed class and domain, such that ∥Λ˙γ−Λ˙γ0∥L(D˙,D˙∗)≤C∥κγ−κγ0∥L2(M×M)1/2(γ,γ0∈Xd(R)).

Facts & Assumptions

Given: the domain, conductivity class and smoothing exponent in the statement.

[F1]

For n=d−1, the boundary eigenvalues satisfy NM(Λ)≤C(1+Λ)n/2, so ∑j(1+λj)−1−rd<∞. (Boundary spectral counting and Sobolev scale)

[F2]

The smoothed observation is Aγ=RγCMrd/2 on mean-zero L2, extended to kill constants and have mean-zero range. (Mean-zero NtD map and smoothed kernel observation)

[F3]

Every Hilbert–Schmidt operator on the compact boundary has a unique L2 kernel with the same norm, and the zero-mean operator extension gives the zero-mean-in-each-variable kernel convention. (Mean-zero Hilbert–Schmidt operators on a compact boundary have square-integrable kernels)

[F4]

An L2 kernel defines a Hilbert–Schmidt integral operator with norm equal to the kernel norm. (L two kernels give Hilbert–Schmidt operators)

[F5]

Uniformly in the conductivity, Rγ:L02(M)→HΔ1(M) is bounded. For B=Rγ−Rγ0, every L>0 gives ∣bij∣≤CL(wiwj)−L in the boundary basis, with wj=1+λj. The spectral half-order norms equal the quotient trace norms up to fixed constants. (Uniform NtD estimates from a fixed harmonic boundary collar)

[F6]

The weak DN and NtD maps are bounded mutually inverse maps on the quotient trace and its dual; the DN bounds are uniform in the ellipticity class. This also follows directly from the two weak formulations and uniqueness. (Well-posedness of the weak conductivity Dirichlet-to-Neumann map, Mean-zero NtD map and smoothed kernel observation)

[F7]

A compact self-adjoint Hilbert operator has an orthonormal eigenbasis on the complement of its kernel. (Spectral theorem for compact self adjoint operators)

[A1]

The Axiom of Choice and Countable Choice are inherited at the weak-solution, spectral and trace interfaces. (The Axiom of Choice, The Axiom of Countable Choice (ACω))

Proof

Given: the data in the Statement. If the conductivity class is empty, its uniform assertions are vacuous; otherwise its collar forces m≤1≤M.

1.1A1F1F2F5givenconstruct

Write r=rd≥0, n=d−1 and wj=1+λj on the total-mean-zero subspace. The counting estimate [F1] implies wj−1/2≤C(1+j)−1/n, after enlarging the constant for finitely many low modes. By [F5], R=Rγ maps the L2 unit ball into a uniformly bounded HΔ1 ball. If PJ is the first J-mode projection, then RJ=PJR has rank at most J and ∥R−RJ∥≤C(1+J)−1/n. Likewise S=CMr/2 has the rank-J approximation SJ=PJS with ∥S−SJ∥≤C(1+J)−r/n; for r=0 this means the bound one and does not assert that S is compact.

2.1F3F7step 1.1algebra

The rank-at-most-2J map RJS+(R−RJ)SJ approximates RS with error (R−RJ)(S−SJ), bounded by C(1+J)−(1+r)/n. The compact operator RS therefore has singular values sj≤C(1+j)−(1+r)/n. To justify this implication, apply [F7] to (RS)∗(RS): truncating its orthogonal singular expansion gives a rank-k approximation with error sk+1, and any other rank-k approximation has a kernel vector in the span of the first k+1 right singular vectors, so its error is at least sk+1. Since 2(1+r)>n by the actual dimension-dependent choice of r, ∑jsj2<∞ uniformly. Thus Aγ=RS and its zero extension are Hilbert–Schmidt. Apply [F3] to obtain the unique L2 kernel and norm equality. Input and output annihilation of the constant mode mean that its integral in either variable is zero, by testing the integral operator and its adjoint on the constant function.

3.1F1F4F5step 2.1algebra

Put B=Rγ−Rγ0 and s=∥κγ−κγ0∥2. By [F4], s2=∑i,j∣bij∣2wj−r. Choose L so large that both ∑iwi1−2L and ∑jwjr+1−2L converge by [F1]. Then [F5] gives T:=∑i,j∣bij∣2wiwjr+1≤C, uniformly over every conductivity pair. Cauchy–Schwarz now yields ∑i,jwi1/2wj1/2∣bij∣2≤(∑∣bij∣2wj−r)1/2(∑∣bij∣2wiwjr+1)1/2≤Cs. The left side is the squared Hilbert–Schmidt norm from HΔ−1/2 to HΔ1/2: the normalized input basis is wj1/4ej. Taking square roots and [F5]'s quotient norm equivalence gives ∥B∥L(D˙∗,D˙)≤Cs1/2, also when s=0.

4.1F6step 2.1step 3.1algebra∎

For clarity, the inverse assertion in [F6] uses no boundary pointwise differentiability: the Dirichlet weak solution with boundary class g has Neumann functional Λ˙γg, and uniqueness of the weak Neumann problem gives RγΛ˙γg=g; conversely the weak Neumann solution satisfies its own Dirichlet problem, giving Λ˙γRγF=F. Therefore Λ˙γ−Λ˙γ0=Λ˙γ(Rγ0−Rγ)Λ˙γ0. Uniform DN operator bounds in [F6] and step 3.1 prove the displayed square-root comparison. Together with step 2.1 this establishes all assertions.

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