Random Sampling of Multivariate Trigonometric Polynomials

Abstract
We investigate when a trigonometric polynomial p of degree M in dvariables is uniquely determined by its sampled values p(x j ) on a random set ofpoints x j in the unit cube (the \sampling problem for trigonometric polynomials") and estimate the probability distribution of the condition number for theassociated Vandermonde-type and Toeplitz-like matrices. The results providea solid theoretical foundation for some ecient numerical algorithms that arealready in use.

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