Abstract
If in spherical stereology the actual radius of spheres obeys a discrete probability distribution with unknown jump points the solution of the relevant Abel integral equation is not continuous, and hence the supremum norm is inappropriate for estimating the error of an approximation. We show that the backward Euler method converges in the L1-norm, also in the more general case that the distribution function is a linear combination of Heaviside functions superimposed on a Lipschitz-continuous background. We treat both cases:
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(a)
cutting plane (first kind integral equation),
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(b)
cutting slice (second kind integral equation).
For convenience (in order to avoid a superficial nonlinearity) we work with number densities and corresponding cumulative functions instead of with probability densities and distribution functions.
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© 1986 Birkhäuser Verlag Basel
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Gorenflo, R. (1986). Approximation of Discrete Probability Distributions in Spherical Stereology. In: Cannon, J.R., Hornung, U. (eds) Inverse Problems. International Series of Numerical Mathematics / Internationale Schriftenreihe zur Numerischen Mathematik / Série internationale d’Analyse numérique, vol 77. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-7014-6_7
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DOI: https://doi.org/10.1007/978-3-0348-7014-6_7
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