Attracting edge and strongly edge reinforced walks

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Published in at http://dx.doi.org/10.1214/009117906000001097 the Annals of Probability (http://www.imstat.org/aop/) by the Ins

Scientific paper

10.1214/009117906000001097

The goal is to show that an edge-reinforced random walk on a graph of bounded degree, with reinforcement weight function $W$ taken from a general class of reciprocally summable reinforcement weight functions, traverses a random attracting edge at all large times. The statement of the main theorem is very close to settling a conjecture of Sellke [Technical Report 94-26 (1994) Purdue Univ.]. An important corollary of this main result says that if $W$ is reciprocally summable and nondecreasing, the attracting edge exists on any graph of bounded degree, with probability 1. Another corollary is the main theorem of Limic [Ann. Probab. 31 (2003) 1615--1654], where the class of weights was restricted to reciprocally summable powers. The proof uses martingale and other techniques developed by the authors in separate studies of edge- and vertex-reinforced walks [Ann. Probab. 31 (2003) 1615--1654, Ann. Probab. 32 (2004) 2650--2701] and of nonconvergence properties of stochastic algorithms toward unstable equilibrium points of the associated deterministic dynamics [C. R. Acad. Sci. S\'{e}r. I Math. 330 (2000) 125--130].

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

Attracting edge and strongly edge reinforced walks 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 Attracting edge and strongly edge reinforced walks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Attracting edge and strongly edge reinforced walks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-267749

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