EconPapers    
Economics at your fingertips  
 

A BKR Operation for Events Occurring for Disjoint Reasons with High Probability

Larry Goldstein () and Yosef Rinott ()
Additional contact information
Larry Goldstein: USC Department of Mathematics
Yosef Rinott: The Hebrew University of Jerusalem

Methodology and Computing in Applied Probability, 2018, vol. 20, issue 3, 957-973

Abstract: Abstract Given events A and B on a product space S = ∏ i = 1 n S i $S={\prod }_{i = 1}^{n} S_{i}$ , the set A □ B $A \Box B$ consists of all vectors x = (x1,…,xn) ∈ S for which there exist disjoint coordinate subsets K and L of {1,…,n} such that given the coordinates xi,i ∈ K one has that x ∈ A regardless of the values of x on the remaining coordinates, and likewise that x ∈ B given the coordinates xj,j ∈ L. For a finite product of discrete spaces endowed with a product measure, the BKR inequality 1 P ( A □ B ) ≤ P ( A ) P ( B ) $$ P(A \Box B) \le P(A)P(B) $$ was conjectured by van den Berg and Kesten (J Appl Probab 22:556–569, 1985) and proved by Reimer (Combin Probab Comput 9:27–32, 2000). In Goldstein and Rinott (J Theor Probab 20:275–293, 2007) inequality Eq. 1 was extended to general product probability spaces, replacing A □ B $A \Box B$ by the set consisting of those outcomes x for which one can only assure with probability one that x ∈ A and x ∈ B based only on the revealed coordinates in K and L as above. A strengthening of the original BKR inequality Eq. 1 results, due to the fact that . In particular, it may be the case that A □ B $A \Box B$ is empty, while is not. We propose the further extension depending on probability thresholds s and t, where is the special case where both s and t take the value one. The outcomes are those for which disjoint sets of coordinates K and L exist such that given the values of x on the revealed set of coordinates K, the probability that A occurs is at least s, and given the coordinates of x in L, the probability of B is at least t. We provide simple examples that illustrate the utility of these extensions.

Keywords: BKR inequality; Percolation; Box set operation; 60C05; 05A20 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11009-018-9623-6 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:metcap:v:20:y:2018:i:3:d:10.1007_s11009-018-9623-6

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009

DOI: 10.1007/s11009-018-9623-6

Access Statistics for this article

Methodology and Computing in Applied Probability is currently edited by Joseph Glaz

More articles in Methodology and Computing in Applied 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:metcap:v:20:y:2018:i:3:d:10.1007_s11009-018-9623-6