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April 1, 2026Analysis and Mathematical Physics0 citationsOpen Access

On links between a theorem of Schoenberg, Rohlin decompositions of measures, the Bochner-Minlos theorem and the Fock space

DADaniel AlpayPCPaula CerejeirasPJPalle Jorgensen

Key Points

  • The main aim is to establish new connections in stochastics by integrating previously unrelated concepts.
  • Extended the class of Gaussian-like functions M L for generalized stochastic processes.
  • Applied Schoenberg’s theorem for positive definite functions in a Hilbert space.
  • Utilized Rohlin’s disintegration theorem for decomposing probability measures.
  • Provided examples and counterexamples to illustrate functions in the M L_r classes.
  • Demonstrated the applicability of Gaussian-like functions in infinite dimensional analysis.
  • Showed that Schoenberg’s theorem extends beyond classical Bochner-Minlos theorem settings.
  • Presented decompositions of probability measures that enhance understanding of stochastic processes.

Abstract

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 M-. 5mmL M L 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 M-. 5mmLᵣ M L r classes (0 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 M-. 5mmLᵣ M L r and provide some interesting counterexamples, e. g. Theorem 7. 4, to get a better feeling on this classes.

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Cite This Study

Alpay et al. (2026) studied this question.

synapsesocial.com/papers/69cd7a815652765b073a7b53https://doi.org/10.1007/s13324-026-01190-x
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