
arXiv: 1009.4412
We find the logarithmic L2‐small ball asymptotics for a class of zero mean Gaussian fields with covariances having the structure of “tensor product”. The main condition imposed on marginal covariances is slow growth at the origin of counting functions of their eigenvalues. That is valid for Gaussian functions with smooth covariances. Another type of marginal functions considered as well are classical Wiener process, Brownian bridge, Ornstein–Uhlenbeck process, etc., in the case of special self‐similar measure of integration. Our results are based on a new theorem on spectral asymptotics for the tensor products of compact self‐adjoint operators in Hilbert space which is of independent interest. Thus, we continue to develop the approach proposed in the paper , where the regular behavior at infinity of marginal eigenvalues was assumed.
slowly varying functions, Karhunen-Loève expansion, smooth covariances, Probability (math.PR), 60G15. Secondary 60G60, 47A80, Gaussian processes, Random fields; image analysis, Gaussian random fields, Tensor products of linear operators, tensor product of operators, small deviations, Mathematics - Spectral Theory, Large deviations, small probabilities, covariance structure of tensor product type, General second-order stochastic processes, FOS: Mathematics, Random fields, Spectral Theory (math.SP), Mathematics - Probability, spectral asymptotics
slowly varying functions, Karhunen-Loève expansion, smooth covariances, Probability (math.PR), 60G15. Secondary 60G60, 47A80, Gaussian processes, Random fields; image analysis, Gaussian random fields, Tensor products of linear operators, tensor product of operators, small deviations, Mathematics - Spectral Theory, Large deviations, small probabilities, covariance structure of tensor product type, General second-order stochastic processes, FOS: Mathematics, Random fields, Spectral Theory (math.SP), Mathematics - Probability, spectral asymptotics
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