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Mean field conditions for coalescing random walks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Oliveira, Roberto Imbuzeiro |
| Copyright Year | 2011 |
| Abstract | The main results in this paper are about the full coalescence time C of a system of coalescing random walks over a finite graph G. Letting m(G) denote the mean meeting time of two such walkers, we give sufficient conditions under which E [C] ≈ 2m(G) and C/m(G) has approximatelly the same law as in the “mean field” setting of a large complete graph. One of our theorems is that mean field behavior occurs over all vertextransitive graphs whose mixing times are much smaller than m(G); this nearly solves an open problem of Aldous and Fill and also generalizes results of Cox for discrete tori in d ≥ 2 dimensions. Other results apply to non-reversible walks and also generalize previous theorems of Durrett and Cooper et al. Slight extensions of these results apply to voter model consensus times, which are related to coalescing random walks via duality. Our main proof ideas are a strenghtening of the usual approximation of hitting times by exponential random variables, which give results for non-stationary initial states; and a new general set of conditions under which we can prove that the hitting time of a union of sets behaves like a minimum of independent exponentials. In particular, this will, show that the first meeting time among k random walkers has mean ≈ m(G)/ ( k 2 ) . |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.stat.berkeley.edu/~aldous/260-FMIE/Papers/oliveira_12.pdf |
| Alternate Webpage(s) | http://www.math.duke.edu/~mcgoff/ProbWorkingGroupSpring2012/Oliveira2011.pdf |
| Alternate Webpage(s) | https://www.stat.berkeley.edu/~aldous/260-FMIE/Papers/oliveira_12.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Approximation Coalescing (computer science) Dimensions Graph (discrete mathematics) Graph - visual representation Small Stationary process Voter model Walkers exponential |
| Content Type | Text |
| Resource Type | Article |
