2021
DOI: 10.1007/s12220-021-00679-0
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Stability of the Non-abelian X-ray Transform in Dimension $$\ge 3$$

Abstract: Non-abelian X-ray tomography seeks to recover a matrix potential $$\Phi :M\rightarrow {\mathbb {C}}^{m\times m}$$ Φ : M → C m × m in a domain M from measurements of its so-called scatt… Show more

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Cited by 7 publications
(6 citation statements)
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“…This lemma appears as [1,Lemma 4.4.4] and completes [2, Proposition 4.4] by proving also the stated mapping properties of 𝜕 ω; we include a proof of the latter for the reader's convenience.…”
mentioning
confidence: 65%
See 2 more Smart Citations
“…This lemma appears as [1,Lemma 4.4.4] and completes [2, Proposition 4.4] by proving also the stated mapping properties of 𝜕 ω; we include a proof of the latter for the reader's convenience.…”
mentioning
confidence: 65%
“…Any function 𝑓 ∈ 𝐶 ∞ (𝑆𝑀) can be decomposed in Fourier modes by simply freezing the basepoint 𝑥 ∈ 𝑀 and considering the Fourier decomposition on 𝑆 𝑥 𝑀 ≃ 𝕊 1 . More precisely, any 𝑢 ∈ 𝐶 ∞ (𝑆𝑀) can be expanded as:…”
Section: Fourier Decompositionmentioning
confidence: 99%
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“…The non-abelian x-ray transform has also been studied on simple surfaces [PS20, MNP21] and compact manifolds with strictly convex boundary [Boh21] where the transport equation is now solved along unit-speed geodesics with endpoints on the boundary of the manifold. For more details and background on the two-dimensional problem, see [PSU21].…”
Section: The Non-abelian X-ray Transform and Broken Radon Transformmentioning
confidence: 99%
“…Depending on the inverse problem, can we get estimates such as (23) and can we guarantee that the posterior mean indeed converges to θ , legitimising Bayesian inversion? This question has been studied for a range of different inverse problems and is an active area of research, see [MNP21] as well as [AN19,Boh21,GN20] for some examples.…”
Section: Bayesian Approach To Inverse Problemsmentioning
confidence: 99%