Some Linear Random Functionals Characterized by L p -Symmetries
Olav Kallenberg
Additional contact information
Olav Kallenberg: Auburn University, Departments of Mathematics
A chapter in Stochastic Processes, 1993, pp 171-180 from Springer
Abstract:
Abstract Consider a linear random functional ξ on some real or complex linear space L, along with a linear operator A from L into a space L p (S, μ). Under suitable regularity conditions, it is shown that if P(ξf) −1 depends only on ∥Af ∥ P , then ξ must be of the form σ ∫ Af dX, where X denotes symmetric p-stable noise on S with control measure μ, while σ ≥ 0 is an independent r.v. The result generalizes Schoenberg’s classical theorem and has many interesting applications.
Date: 1993
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-7909-0_20
Ordering information: This item can be ordered from
http://www.springer.com/9781461579090
DOI: 10.1007/978-1-4615-7909-0_20
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().