EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2026-05-29
Handle: RePEc:spr:sprchp:978-1-4615-7909-0_20