EconPapers    
Economics at your fingertips  
 

Convolution Powers of Probabilities on Stochastic Matrices

Santanu Chakraborty and B. V. Rao ()
Additional contact information
Santanu Chakraborty: Indian Statistical Institute

Journal of Theoretical Probability, 2001, vol. 14, issue 2, 599-603

Abstract: Abstract For any probability μ on the space of d×d stochastic matrices we associate a probability $$\tilde \mu $$ ; on a finite group—a subgroup of the permutation group—related to the kernel of the semigroup generated by the support of μ. We show that μn converges iff $$\tilde \mu $$ n converges.

Keywords: stochastic matrices; semigroup; kernel; convolution; weak convergence (search for similar items in EconPapers)
Date: 2001
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1023/A:1011180117932 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:14:y:2001:i:2:d:10.1023_a:1011180117932

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

DOI: 10.1023/A:1011180117932

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:14:y:2001:i:2:d:10.1023_a:1011180117932