2014
DOI: 10.1103/physreve.90.012118
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Scaling hypothesis for the Euclidean bipartite matching problem

Abstract: We propose a simple yet very predictive form, based on a Poisson's equation, for the functional dependence of the cost from the density of points in the Euclidean bipartite matching problem. This leads, for quadratic costs, to the analytic prediction of the large N limit of the average cost in dimension d = 1,2 and of the subleading correction in higher dimension. A nontrivial scaling exponent, γ(d) = d-2/d, which differs from the monopartite's one, is found for the subleading correction. We argue that the sam… Show more

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Cited by 77 publications
(187 citation statements)
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“…The previous results for the d = 1 case are known to the literature [7,8,11], although the correlation function was derived using a different probabilistic approach. In Ref.…”
Section: A Case D =mentioning
confidence: 86%
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“…The previous results for the d = 1 case are known to the literature [7,8,11], although the correlation function was derived using a different probabilistic approach. In Ref.…”
Section: A Case D =mentioning
confidence: 86%
“…Observe now that C d (0) is, in the large N limit, the average optimal cost for the Euclidean bipartite matching problem; using this simple correspondence, Caracciolo et al [11] derived the correct scaling of the optimal cost and, through a proper regularization procedure, the finite-size corrections to the average optimal cost for any dimension. In the following we will consider the complete correlation function C d (x) in any dimension and we will derive it using the same ansatz successfully adopted by Caracciolo et al [11] to obtain the scaling of the average optimal cost.…”
Section: B Correlation Functions For the Ebmp On The Hypertorusmentioning
confidence: 99%
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