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Pré-Publication, Document De Travail Année : 2022

Prudent walk in dimension six and higher

Résumé

We study the high-dimensional uniform prudent self-avoiding walk, which assigns equal probability to all nearest-neighbor self-avoiding paths of a fixed length that respect the prudent condition, namely, the path cannot take any step in the direction of a previously visited site. We prove that the prudent self-avoiding walk converges to Brownian motion under diffusive scaling if the dimension is large enough. The same result is true for weakly prudent walk in dimension $d>5$. A challenging property of the high-dimensional prudent walk is the presence of an infinite-range self-avoidance constraint. Interestingly, as a consequence of such a strong self-avoidance constraint, the upper critical dimension of the prudent walk is five, and thus greater than for the classical self-avoiding walk.

Dates et versions

hal-03807648 , version 1 (10-10-2022)

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Markus Heydenreich, Lorenzo Taggi, Torri Niccolo. Prudent walk in dimension six and higher. 2022. ⟨hal-03807648⟩
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