Abstract
We analyze several Galerkin approximations of a Gaussian random field indexed by a Euclidean domain whose covariance structure is determined by a negative fractional power of a second-order elliptic differential operator . Under minimal assumptions on the domain , the coefficients , , and the fractional exponent , we prove convergence in and in at (essentially) optimal rates for (i) spectral Galerkin methods and (ii) finite element approximations. Specifically, our analysis is solely based on -regularity of the differential operator , where . For this setting, we furthermore provide rigorous estimates for the error in the covariance function of these approximations in and in the mixed Sobolev space , showing convergence which is more than twice as fast compared to the corresponding -rate. For the well-known example of such Gaussian random fields, the original Whittle-Matérn class, where and , we perform several numerical experiments which validate our theoretical results.
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