Abstract
We consider linearly edge-reinforced random walk on an arbitrary locally finite connected graph. It is shown that the process has the same distribution as a mixture of reversible Markov chains, determined by time-independent strictly positive weights on the edges. Furthermore, we prove bounds for the random weights, uniform, among others, in the size of the graph.
| Original language | English |
|---|---|
| Pages (from-to) | 157-176 |
| Journal | Probability Theory and Related Fields |
| Volume | 138 |
| Issue number | 1-2 |
| DOIs | |
| Publication status | Published - 2007 |
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