Laplace transform inversion on the real line is truly ill-conditioned

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摘要

In this note we consider Laplace transforms of probability distribution functions F(t) on (0,∞) that have finite integer moments of all orders. We construct a family Fω(t) of distribution functions, whose Laplace transforms differ from that of F(t) by as little as we want, but such that Fω(t) has a discrete part whereas F(t) has a density f(t). Thus we provide one more example of why Laplace transform inversion on the real line is a difficult, ill-conditioned, inverse problem.

论文关键词:Completely monotonic function,Inverse Laplace transform,Laplace transform,Probability density function

论文评审过程:Available online 25 April 2013.

论文官网地址:https://doi.org/10.1016/j.amc.2013.03.112