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Matchings on infinite graphs

Authors: Bordenave, Charles; Lelarge, Marc; Salez, Justin;

Matchings on infinite graphs

Abstract

Elek and Lippner (2010) showed that the convergence of a sequence of bounded-degree graphs implies the existence of a limit for the proportion of vertices covered by a maximum matching. We provide a characterization of the limiting parameter via a local recursion defined directly on the limit of the graph sequence. Interestingly, the recursion may admit multiple solutions, implying non-trivial long-range dependencies between the covered vertices. We overcome this lack of correlation decay by introducing a perturbative parameter (temperature), which we let progressively go to zero. This allows us to uniquely identify the correct solution. In the important case where the graph limit is a unimodular Galton-Watson tree, the recursion simplifies into a distributional equation that can be solved explicitly, leading to a new asymptotic formula that considerably extends the well-known one by Karp and Sipser for Erd��s-R��nyi random graphs.

23 pages

Keywords

[MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Random sparse graphs, Probability (math.PR), Secondary 82B20 05C80, Primary 60C05, Heilmann-Lieb Theorem, 004, 510, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], FOS: Mathematics, Matching, Local weak convergence, 05C70, 60C05 (Primary) 05C80 (Secondary), Mathematics - Probability

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
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bronze
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