Correlated fractal percolation and the Palis conjecture

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

22 pages

Scientific paper

Let F1 and F2 be independent copies of correlated fractal percolation, with Hausdorff dimensions dimH(F1) and dimH(F2). Consider the following question: does dimH(F1)+dimH(F2)>1 imply that their algebraic difference F1-F2 will contain an interval? The well known Palis conjecture states that `generically' this should be true. Recent work by Kuijvenhoven and the first author (arXiv:0811.0525) on random Cantor sets can not answer this question as their condition on the joint survival distributions of the generating process is not satisfied by correlated fractal percolation. We develop a new condition which permits us to solve the problem, and we prove that the condition of (arXiv:0811.0525) implies our condition. Independently of this we give a solution to the critical case, yielding that a strong version of the Palis conjecture holds for fractal percolation and correlated fractal percolation: the algebraic difference contains an interval almost surely if and only if the sum of the Hausdorff dimensions of the random Cantor sets exceeds one.

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

Correlated fractal percolation and the Palis conjecture 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 Correlated fractal percolation and the Palis conjecture, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Correlated fractal percolation and the Palis conjecture will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-89765

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