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Poisson–Dirichlet distribution for random Belyi surfaces

Poisson-Dirichlet distribution for random Belyi surfaces
Authors: Gamburd, Alex;

Poisson–Dirichlet distribution for random Belyi surfaces

Abstract

Brooks and Makover introduced an approach to studying the global geometric quantities (in particular, the first eigenvalue of the Laplacian, injectivity radius and diameter) of a ``typical'' compact Riemann surface of large genus based on compactifying finite-area Riemann surfaces associated with random cubic graphs; by a theorem of Belyi, these are ``dense'' in the space of compact Riemann surfaces. The question as to how these surfaces are distributed in the Teichm��ller spaces depends on the study of oriented cycles in random cubic graphs with random orientation; Brooks and Makover conjectured that asymptotically normalized cycle lengths follow Poisson--Dirichlet distribution. We present a proof of this conjecture using representation theory of the symmetric group.

Published at http://dx.doi.org/10.1214/009117906000000223 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

Keywords

58C40, Mathematics - Differential Geometry, Poisson–Dirichlet distribution, 05C80, Probability (math.PR), Random graphs (graph-theoretic aspects), random regular graphs, Interacting random processes; statistical mechanics type models; percolation theory, Poisson-Dirichlet distribution, Belyi surfaces, 60K35 (Primary) 05C80, 58C40 (Secondary), Differential Geometry (math.DG), 60K35, FOS: Mathematics, Spectral theory; eigenvalue problems on manifolds, Mathematics - Probability

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selected citations
These citations are derived from selected sources.
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!
29
Top 10%
Top 10%
Average
Green
hybrid