Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 86 3 b Solution Created 2026-10-03 Updated 2026-10-14
Keep the coordinates and operator from part (a). The attenuation is known, and the source is to be reconstructed. Put and . The directed forward attenuated Radon transform, for a detector at the positive end of the line, isThis weight accounts for absorption from each emission point to the detector. It is also derived by solving the real transport equation with zero incoming intensity: its outgoing limit is . In particular reversing the line direction generally changes the measurement. The pair reconstructs from full directed data and known ; it does not infer both unknown functions from the same data.
We must specify the sign convention for the projectors. Use the Hilbert transform and the signed Cauchy boundary operatorsThen , and the positive idempotent projectors are and . This is the signed boundary-value convention in the given limits of . To express everything with ordinary complementary projectors, one may instead write , . The given limits becomeBoth depend on the transverse coordinate and direction but are constant along .
The equation supplies an integrating factor:where is the inverse of unattenuated complex transport, normalized to vanish at spatial infinity. To see the normalization and analyticity rather than assume them, let . The complexified transport Cauchy kernel isIn the rotated coordinates, . The identity and the Jacobian prove with exactly this normalization. The denominator cannot vanish for nonzero real off the unit circle. The kernel is analytic separately inside and outside that circle, is at zero and at infinity. Thus and the displayed have the corresponding spectral behavior for the smooth decaying data. In particular at infinity and is bounded, indeed , at zero.
The limiting unattenuated inverse on any smooth decaying input isOne may verify this directly in the rotated Fourier variables: has multiplier , so its inverse has a pole at . As , the positive transverse frequencies have the negative tail primitive and the negative transverse frequencies have the positive past primitive; for these allocations reverse. Splitting with the Fourier projectors yields exactly the two formulas above. Applying them to reproduces the assumed limits of and checks the signs.
Now apply the same limiting inverse to . Because are independent of , its line integral is , while its tail is . HenceThe unknown incomplete line integral cancels in their difference. All remaining quantities are obtained from the measurements and known attenuation:Each projection acts in at fixed , before evaluating and . Pulling a transverse-dependent exponential outside a projector would be incorrect.
The sectionally analytic therefore solves an additive Riemann-Hilbert problem on the counterclockwise unit circle, with the plus value inside. The normalized Cauchy integral formula isThe Sokhotski–Plemelj theorem gives its jump; boundedness at zero and decay at infinity make it unique by the Liouville theorem. Its expansion at infinity isSubstitute into the original equation. The part contributes at order one, the reciprocal derivative and vanish at that order. This derives the projection formula for inverse attenuated Radon transform:Together with the boxed forward transform this is the requested pair. The derivation uses no small-attenuation approximation. For smooth compactly supported data the operations above are justified directly; sufficient integrable decay permits the same limiting construction.
As a normalization check, set . Then , and . Since the line transform is independent of and , the formula reduces tothe full-angle inverse Radon transform. For the radial Gaussian , and , so the reconstructed value at the origin is , checking the factor.
In single-photon emission computed tomography, represents the internal emission density, the known absorption coefficient and the directed detector counts. Each path integral weights a source point by its survival probability to the detector. Thus the attenuated Radon transform is the forward measurement model and its derived inverse reconstructs the emission distribution, providing the mathematical basis of SPECT.