Determinate multidimensional measures, the extended Carleman theorem and quasi-analytic weights

By Marcel de Jeu. 2001

56 citations recorded by the source corpus.

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 weight has finite integral under μ. We give practical examples of such weights, based on their classification. As in the one-dimensional case, the results on determinacy of measures supported on \Rn lead to sufficient conditions for determinacy of measures supported in a positive convex cone, that is, the higher-dimensional analogue of determinacy in the sense of Stieltjes.

Subfields: Applied Mathematics, Geometry and Topology, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/08c62a693f88ee2125607241782ad00932a6eec4

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In Applied Mathematics

  1. A. Shekhar
  2. Peter K. Friz
  3. Nicolas Victoir
  4. M. Folz

In Geometry and Topology

  1. A. Shekhar
  2. Peter K. Friz

In Mathematical Physics

  1. Peter K. Friz
  2. A. Shekhar
  3. Ilya Chevyrev
  4. Nicolas Victoir
  5. Massimiliano Gubinelli
  6. Terry Lyons
  7. Martin Hairer
  8. Huilin Zhang

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