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EIT forward continuity and compactness of conductivity classes
Statement
Assume the Axiom of Choice and Countable Choice. Let , let be nonempty, bounded, connected and , let , and fix , , and . Let be the BV conductivity class for and the bounded class for , with the same ellipticity and background collar in both cases. Then is compact in and each for is compact in . In dimension two there is an exponent and a constant such that for the same kernel map is continuous in the topology. Consequently the exact kernel image is compact in .
Statement references
The exact BV and C1,alpha conductivity classes.
The Axiom of Choice used in the d≥3 compactness argument.
The Countable Choice axiom used in the dimension-two BV closure argument.
The uniform BV translation modulus.
The continuum kernel observation and its Hilbert-space norm.
de Hoop et al., Corollary 4.3, Lemma 4.5 and Corollary 4.6
Rondi, Theorem 4.2 and Remark 4.5: forward NtD continuity and Meyers estimate
Facts & Assumptions
Given: the domain, parameters, conductivity class and kernel convention in the statement.
In , the background extensions have uniform translation-difference bounds and the stated finite- translation moduli. Therefore , supported in , has those SAME translation differences and a uniform bound. (BV translation modulus for the extended conductivity)
Under Countable Choice and Dependent Choice, a bounded-support family with bounded norms and uniform translation continuity is relatively compact in . (The Fr'echet--Kolmogorov compactness criterion in , Uniformly supported families have vanishing tails)
A uniformly bounded and equicontinuous family on a compact metric domain has compact closure in the uniform topology; its limit preserves a common Hölder bound. (Real and finite-dimensional Euclidean Ascoli–Arzelà criteria)
The weak conductivity solutions and DN maps are well-defined on the trace quotient, and the mean-zero NtD observation is defined by the weak Neumann problem. (Well-posedness of the weak conductivity Dirichlet-to-Neumann map, Mean-zero NtD map and smoothed kernel observation)
For , ; symmetry under gives the absolute-pairing form. (Test-field formula and L1 lower semicontinuity of spatial TV)
Assuming Countable Choice, for real-valued the displayed test-field supremum is finite if and only if , and then it equals . (Test-field formula and L1 lower semicontinuity of spatial TV)
For , for some and , the fixed-collar NtD kernel difference is bounded by ; in every dimension it is also bounded by . This is proved by uniform interior Meyers estimates, rapid boundary-mode decay and the weak energy identity. (Interior decay of Neumann modes and kernel forward continuity)
Countable Choice is assumed in the statement and is used at the arbitrary- test-field characterization in [F6] and the upstream spectral and higher-integrability interfaces. (The Axiom of Countable Choice ())
The Axiom of Choice is assumed in the statement; it implies the Dependent Choice required by [F2] and supplies the Ascoli–Arzelà compactness step in dimension . (The Axiom of Choice)
Proof
Given: the data in the statement.
If , the fixed positive-measure boundary collar makes incompatible with almost everywhere. Thus ; it and its kernel image are compact, and the pairwise estimates and continuity assertions are vacuous (one may take and ). Henceforth assume , as required by [F7]. In dimension two, set . It is supported in , has , and satisfies by [F1]. Apply the Fréchet–Kolmogorov criterion [F2] to the bounded-support family in ; restriction to followed by addition of one gives relative compactness of in . If in , pass to an almost-everywhere convergent subsequence; the ellipticity bounds and background-collar equality pass to the limit almost everywhere. For each admissible smooth test field , its divergence is bounded, so the pairing with converges to the pairing with . By [F5], the absolute value of each approximating pairing is at most ; taking the supremum over yields . Assumption [A3] lets [F6] infer and . Also , so the defining maximum BV norm is at most . Thus the class is closed and compact in .
For , the uniform bound gives uniform bounds and equicontinuity for both the functions and their first derivatives. Apply [F3] with [A4] to the finite vector to extract a subsequence converging in . The limit derivatives retain the same -Hölder bound by passing to the limit in ; the ellipticity and collar conditions are closed under uniform convergence. Hence is compact in .
Apply [F7], using the observation convention [F4], with the actual fixed smoothing exponent . The Hilbert–Schmidt difference there has, by the kernel isometry in the smoothing lemma, exactly the norm . In dimension two this gives the stated Lipschitz estimate with . In dimensions at least three its supremum-norm estimate gives continuity in , since convergence in that topology implies uniform convergence of the coefficients. Thus the asserted kernel continuity is established in both branches.
To use step 1.1's compactness in dimension two, note that all conductivities have the same uniform bound. Hence . The estimate in step 1.3 therefore makes the kernel map continuous also for the topology on this class. Its image is compact as the continuous image of the compact class from step 1.1. For , use the compactness in step 1.2 and the continuity in step 1.3. This proves the final assertion without a finite-dimensional measurement restriction.
Depends on
- The Axiom of Choice
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Calderón admissible conductivity classes
- Spatial BV and distributional total variation
- Test-field formula and L1 lower semicontinuity of spatial TV
- Mean-zero NtD map and smoothed kernel observation
- Well-posedness of the weak conductivity Dirichlet-to-Neumann map
- BV translation modulus for the extended conductivity
- NtD smoothing and Hilbert–Schmidt kernel bounds
- The Fr\'echet--Kolmogorov compactness criterion in $L^p(\mathbb R^n)$
- Uniformly supported families have vanishing tails
- Real and finite-dimensional Euclidean Ascoli–Arzelà criteria
- Interior decay of Neumann modes and kernel forward continuity
Used by
Dependency tree · two levels
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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)