Journal article
On links between a theorem of Schoenberg, Rohlin decompositions of measures, the Bochner-Minlos theorem and the Fock space
Analysis and mathematical physics, Vol.16(2), 45
04/01/2026
DOI: 10.1007/s13324-026-01190-x
Abstract
The main goal of this paper is to gain new results in stochastics by drawing on, and combining, different areas that are normally not considered to be related. Thus, in this paper we extend the previous class of Gaussian-like functions ML which will allow for future generalized stochastic processes in infinite dimensional analysis. We show that an approach similar to the one by the classical Bochner-Minlos theorem for the white-noise case can be achieved by using Gaussian-like functions belonging to a large family - the ML r classes (0 < r ≤ ∞). We show how Schoenberg’s theorem for positive definite functions on a Hilbert space allows to go beyond the classical setting of Bochner-Milnos theorem. Furthermore, we show that the application of the Rohlin’s disintegration theorem allows for a decomposition of the associated probability measures , see Theorems 3.2 and 4.3. We end this paper with several important examples of functions in these classes ML r and provide some interesting counterexamples, e.g. Theorem 7.4, to get a better feeling on this classes
Details
- Title: Subtitle
- On links between a theorem of Schoenberg, Rohlin decompositions of measures, the Bochner-Minlos theorem and the Fock space
- Creators
- Daniel Alpay - Chapman UniversityPaula Cerejeiras - University of AveiroPalle Jorgensen - University of IowaUwe Kaehler - University of Aveiro
- Resource Type
- Journal article
- Publication Details
- Analysis and mathematical physics, Vol.16(2), 45
- DOI
- 10.1007/s13324-026-01190-x
- ISSN
- 1664-2368
- eISSN
- 1664-235X
- Publisher
- Springer International Publishing
- Grant note
- Chapman University Center for Research and Development in Mathematics and Applications (https://doi.org/10.13039/501100018711)
- Language
- English
- Date published
- 04/01/2026
- Academic Unit
- Mathematics
- Record Identifier
- 9985149630902771
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