
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
[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
[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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