Determinate multidimensional measures, the extended Carleman theorem and quasi-analytic weights
نویسندگان
چکیده
منابع مشابه
Determinate Multidimensional Measures, the Extended Carleman Theorem and Quasi-analytic Weights
We prove in a direct fashion that a multidimensional probability measure μ is determinate if the higher dimensional analogue of Carleman’s condition is satisfied. In that case, the polynomials, as well as certain proper subspaces of the trigonometric functions, are dense in all associated Lp-spaces for 1 ≤ p < ∞. In particular these three statements hold if the reciprocal of a quasi-analytic we...
متن کاملLimiting Carleman Weights and Anisotropic Inverse Problems
In this article we consider the anisotropic Calderón problem and related inverse problems. The approach is based on limiting Carleman weights, introduced in [13] in the Euclidean case. We characterize those Riemannian manifolds which admit limiting Carleman weights, and give a complex geometrical optics construction for a class of such manifolds. This is used to prove uniqueness results for ani...
متن کاملNuttall's theorem with analytic weights on algebraic S-contours
Given a function f holomorphic at infinity, the n-th diagonal Padé approximant to f, denoted by [n/n]f, is a rational function of type (n,n) that has the highest order of contact with f at infinity. Nuttall’s theorem provides an asymptotic formula for the error of approximation f− [n/n]f in the case where f is the Cauchy integral of a smooth density with respect to the arcsine distribution on [...
متن کاملA Quasi-invariance Theorem for Measures on Banach Spaces
We show that for a measure -y on a Banach space directional different ¡ability implies quasi-translation invariance. This result is shown to imply the Cameron-Martin theorem. A second application is given in which 7 is the image of a Gaussian measure under a suitably regular map.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Annals of Probability
سال: 2003
ISSN: 0091-1798
DOI: 10.1214/aop/1055425776