Statistical Inverse Problems on Manifolds |
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Authors: | Peter T Kim Ja-Yong Koo |
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Institution: | (1) Department of Mathematics and Statistics, University of Guelph Guelph, Ontario N1G 2W1, Canada;(2) Department of Statistics, Korea University, Anam-Dong, Sungbuk-Ku, Seoul, 136-701, Korea |
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Abstract: | This article examines statistical inverse problems on compact Riemannian manifolds. The approach is to use aspects of spectral
geometry associated with the Laplace-Beltrami operator on compact Riemannian manifolds. Optimality in terms of upper and lower
rates of convergence is established. It turns out that if the operator is polynomially bounded, then optimal convergence is
polynomial, while if the operator is exponentially bounded, then optimal convergence proceeds logarithmically. Application
to estimating the initial heat distribution is analyzed. |
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Keywords: | |
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