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Random Structures and Algorithms
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Random Structures and Algorithms
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Complex martingales and asymptotic enumeration

Authors: Mikhail Isaev; Brendan D. McKay;

Complex martingales and asymptotic enumeration

Abstract

AbstractMany enumeration problems in combinatorics, including such fundamental questions as the number of regular graphs, can be expressed as high‐dimensional complex integrals. Motivated by the need for a systematic study of the asymptotic behavior of such integrals, we establish explicit bounds on the exponentials of complex martingales. Those bounds applied to the case of truncated normal distributions are precise enough to include and extend many enumerative results of Barvinok, Canfield, Gao, Greenhill, Hartigan, Isaev, McKay, Wang, Wormald, and others. Our method applies to sums as well as integrals. As a first illustration of the power of our theory, we considerably strengthen existing results on the relationship between random graphs or bipartite graphs with specified degrees and the so‐called β‐model of random graphs with independent edges, which is equivalent to the Rasch model in the bipartite case.

Keywords

degree sequence, Doob martingale process, Random graphs (graph-theoretic aspects), Enumeration in graph theory, Asymptotic enumeration, asymptotic enumeration, truncated Gaussian measures, multidimensional Laplace integral, FOS: Mathematics, Mathematics - Combinatorics, 05A16, 05C80, 60G46, Martingales with discrete parameter, Combinatorics (math.CO), complex martingale, diameter, random graph

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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!
17
Top 10%
Top 10%
Top 10%
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