EconPapers    
Economics at your fingertips  
 

Functional Approach of Large Deviations in General Spaces

Henri Comman ()
Additional contact information
Henri Comman: University of Santiago de Chile

Journal of Theoretical Probability, 2005, vol. 18, issue 1, 187-207

Abstract: Let X be a topological space, (μ α) a net of Borel probability measures on X, and (tα) a net in ]0,∞[ converging to 0. Let $$\cal A$$ be a set of continuous functions such that for all x ∈X that can be suitably distinguished by some continuous functions from any closed set not containing $$x, \cal A$$ contains such a distinguishing function. Assuming that $$\Lambda(h) = \log \lim\left(\int_{X} e^{h(x)/t_{\alpha}} \mu _{\alpha}(dx)\right)^{t_{\alpha}}$$ exists for all $$h \in \cal A$$ , we give a sufficient condition in order that (μ α) satisfies a large deviation principle with powers (tα) and not necessary tight rate function. When X is completely regular (not necessary Hausdorff), this condition is also necessary, and so strictly weaker than exponential tightness; this allows us to strengthen Bryc’s theorem in various ways. We give the general form of a rate function in terms of $$\cal A$$ . A Prohorov-type theorem with a weaker notion than exponential tightness is obtained, which improves known results.

Keywords: Large deviations; converse Varadhan’s theorem problem (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10959-004-2594-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:jotpro:v:18:y:2005:i:1:d:10.1007_s10959-004-2594-2

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959

DOI: 10.1007/s10959-004-2594-2

Access Statistics for this article

Journal of Theoretical Probability is currently edited by Andrea Monica

More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jotpro:v:18:y:2005:i:1:d:10.1007_s10959-004-2594-2