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NtD smoothing and Hilbert–Schmidt kernel bounds
Statement
Assume the Axiom of Choice and Countable Choice, let , let be nonempty, bounded, connected and , and let . Write , , and let and be the mean-zero smoothed NtD observation and its extension from the preceding definition. Then is Hilbert–Schmidt on and has a unique zero-mean-in-each-variable kernel , with The Hilbert–Schmidt norms are uniformly bounded over . Moreover, there is , depending only on the fixed class and domain, such that
Statement references
Facts & Assumptions
Given: the domain, conductivity class and smoothing exponent in the statement.
For , the boundary eigenvalues satisfy , so . (Boundary spectral counting and Sobolev scale)
The smoothed observation is on mean-zero , extended to kill constants and have mean-zero range. (Mean-zero NtD map and smoothed kernel observation)
Every Hilbert–Schmidt operator on the compact boundary has a unique 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)
An kernel defines a Hilbert–Schmidt integral operator with norm equal to the kernel norm. (L two kernels give Hilbert–Schmidt operators)
Uniformly in the conductivity, is bounded. For , every gives in the boundary basis, with . The spectral half-order norms equal the quotient trace norms up to fixed constants. (Uniform NtD estimates from a fixed harmonic boundary collar)
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)
A compact self-adjoint Hilbert operator has an orthonormal eigenbasis on the complement of its kernel. (Spectral theorem for compact self adjoint operators)
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 ())
Proof
Given: the data in the Statement. If the conductivity class is empty, its uniform assertions are vacuous; otherwise its collar forces .
Write , and on the total-mean-zero subspace. The counting estimate [F1] implies , after enlarging the constant for finitely many low modes. By [F5], maps the unit ball into a uniformly bounded ball. If is the first -mode projection, then has rank at most and . Likewise has the rank- approximation with ; for this means the bound one and does not assert that is compact.
The rank-at-most- map approximates with error , bounded by . The compact operator therefore has singular values . To justify this implication, apply [F7] to : truncating its orthogonal singular expansion gives a rank- approximation with error , and any other rank- approximation has a kernel vector in the span of the first right singular vectors, so its error is at least . Since by the actual dimension-dependent choice of , uniformly. Thus and its zero extension are Hilbert–Schmidt. Apply [F3] to obtain the unique 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.
Put and . By [F4], . Choose so large that both and converge by [F1]. Then [F5] gives , uniformly over every conductivity pair. Cauchy–Schwarz now yields . The left side is the squared Hilbert–Schmidt norm from to : the normalized input basis is . Taking square roots and [F5]'s quotient norm equivalence gives , also when .
For clarity, the inverse assertion in [F6] uses no boundary pointwise differentiability: the Dirichlet weak solution with boundary class has Neumann functional , and uniqueness of the weak Neumann problem gives ; conversely the weak Neumann solution satisfies its own Dirichlet problem, giving . Therefore . 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.
Depends on
- The Axiom of Choice
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Weak Dirichlet-to-Neumann map for bounded conductivities
- Mean-zero NtD map and smoothed kernel observation
- Well-posedness of the weak conductivity Dirichlet-to-Neumann map
- Boundary spectral counting and Sobolev scale
- Mean-zero Hilbert–Schmidt operators on a compact boundary have square-integrable kernels
- L two kernels give Hilbert–Schmidt operators
- Uniform NtD estimates from a fixed harmonic boundary collar
- Spectral theorem for compact self adjoint operators
Used by
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Sources
- Maarten V. de Hoop, Nikola B. Kovachki, Matti Lassas and Nicholas H. Nelsen, Extension and neural operator approximation of the electrical impedance tomography inverse map (standard reference, not scraped)
- Luca Rondi, On the regularization of the inverse conductivity problem with discontinuous conductivities (standard reference, not scraped)