arXiv · cond-mat/0012326
Neighborhood preferences in random matching problems
Abstract
We consider a class of random matching problems where the distance between two points has a probability law which, for a small distance l, goes like l^r. In the framework of the cavity method, in the limit of an infinite number of points, we derive equations for p_k, the probability for some given point to be matched to its k-th nearest neighbor in the optimal configuration. These equations are solved in two limiting cases : r=0 - where we recover p_k=1/2^k, as numerically conjectured by Houdayer et al. and recently rigorously proved by Aldous - and r -> +infty. For 0<r<+infty, we are not able to solve the equations analytically, but we compute the leading behavior of p_k for large k.
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G. Parisi, M. Ratieville. 2000-12-18. Neighborhood preferences in random matching problems. https://doi.org/10.1007/pl00011144
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