A BK inequality for randomly drawn subsets of fixed size

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Revised version for PTRF. Equation (13) corrected. Several, mainly stylistic, changes; more compact

Scientific paper

The BK inequality (\cite{BK85}) says that,for product measures on $\{0,1\}^n$, the probability that two increasing events $A$ and $B$ `occur disjointly' is at most the product of the two individual probabilities. The conjecture in \cite{BK85} that this holds for {\em all} events was proved by Reimer (cite{R00}). Several other problems in this area remained open. For instance, although it is easy to see that non-product measures cannot satisfy the above inequality for {\em all} events,there are several such measures which, intuitively, should satisfy the inequality for all{\em increasing} events. One of the most natural candidates is the measure assigning equal probabilities to all configurations with exactly $k$ 1's (and probability 0 to all other configurations). The main contribution of this paper is a proof for these measures. We also point out how our result extends to weighted versions of these measures, and to products of such measures.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A BK inequality for randomly drawn subsets of fixed size does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A BK inequality for randomly drawn subsets of fixed size, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A BK inequality for randomly drawn subsets of fixed size will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-69195

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.