Banach Journal of Mathematical Analysis
- Banach J. Math. Anal.
- Volume 12, Number 3 (2018), 515-540.
Kolmogorov-type and general extension results for nonlinear expectations
We provide extension procedures for nonlinear expectations to the space of all bounded measurable functions. We first discuss a maximal extension for convex expectations which have a representation in terms of finitely additive measures. One of the main results of this article is an extension procedure for convex expectations which are continuous from above and therefore admit a representation in terms of countably additive measures. This can be seen as a nonlinear version of the Daniell–Stone theorem. From this, we deduce a robust Kolmogorov extension theorem which is then used to extend nonlinear kernels to an infinite-dimensional path space. We then apply this theorem to construct nonlinear Markov processes with a given family of nonlinear transition kernels.
Banach J. Math. Anal., Volume 12, Number 3 (2018), 515-540.
Received: 21 February 2017
Accepted: 19 June 2017
First available in Project Euclid: 17 November 2017
Permanent link to this document
Digital Object Identifier
Mathematical Reviews number (MathSciNet)
Zentralblatt MATH identifier
Primary: 28C05: Integration theory via linear functionals (Radon measures, Daniell integrals, etc.), representing set functions and measures
Secondary: 47H07: Monotone and positive operators on ordered Banach spaces or other ordered topological vector spaces 46A55: Convex sets in topological linear spaces; Choquet theory [See also 52A07] 46A20: Duality theory 28A12: Contents, measures, outer measures, capacities
Denk, Robert; Kupper, Michael; Nendel, Max. Kolmogorov-type and general extension results for nonlinear expectations. Banach J. Math. Anal. 12 (2018), no. 3, 515--540. doi:10.1215/17358787-2017-0024. https://projecteuclid.org/euclid.bjma/1510909221