Extending P\'olya's random walker beyond probability I. Complex weights
Abstract
Working in combinatorial model Wco(d), d=1,2,…, of P\'olya's random walker in Zd, we prove two theorems on recurrence to a vertex. We obtain an effective version of the first theorem if d=2. Using a semi-formal approach to generating functions, we extend both theorems beyond probability to a more general model WC with complex weights. We relate models Wco(d) to standard models WMa(d) based on Markov chains. The follow-up article will treat non-Archimedean models Wfo(k) in which weights are formal power series in C[[x1,x2,…,xk]].
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