We consider sequences of graphs ( G n ) and define various notions of convergence related to these sequences: “left convergence” defined in terms of the densities of homomorphisms from small graphs into G n ; “right convergence” defined in terms of the densities of homomorphisms from G n into small graphs; and convergence in a suitably defined metric.
In Part I of this series, we show that left convergence is equivalent to convergence in metric, both for simple graphs G n , and for graphs G n with nodeweights and edgeweights. One of the main steps here is the introduction of a cut-distance comparing graphs, not necessarily of the same size. We also show how these notions of convergence provide natural formulations of Szemerédi partitions, sampling and testing of large graphs.
%0 Journal Article
%1 borgs_convergent_2008
%A Borgs, C.
%A Chayes, J.T.
%A Lovász, L.
%A Sós, V.T.
%A Vesztergombi, K.
%D 2008
%J Advances in Mathematics
%K Free Graph Parameter Partition Sampling, Szemerédi \_tablet, energies, functions, partitions sequences, testing,
%N 6
%P 1801--1851
%R 10.1016/j.aim.2008.07.008
%T Convergent sequences of dense graphs I: Subgraph frequencies, metric properties and testing
%U http://www.sciencedirect.com/science/article/pii/S0001870808002053
%V 219
%X We consider sequences of graphs ( G n ) and define various notions of convergence related to these sequences: “left convergence” defined in terms of the densities of homomorphisms from small graphs into G n ; “right convergence” defined in terms of the densities of homomorphisms from G n into small graphs; and convergence in a suitably defined metric.
In Part I of this series, we show that left convergence is equivalent to convergence in metric, both for simple graphs G n , and for graphs G n with nodeweights and edgeweights. One of the main steps here is the introduction of a cut-distance comparing graphs, not necessarily of the same size. We also show how these notions of convergence provide natural formulations of Szemerédi partitions, sampling and testing of large graphs.
@article{borgs_convergent_2008,
abstract = {We consider sequences of graphs ( G n ) and define various notions of convergence related to these sequences: “left convergence” defined in terms of the densities of homomorphisms from small graphs into G n ; “right convergence” defined in terms of the densities of homomorphisms from G n into small graphs; and convergence in a suitably defined metric.
In Part I of this series, we show that left convergence is equivalent to convergence in metric, both for simple graphs G n , and for graphs G n with nodeweights and edgeweights. One of the main steps here is the introduction of a cut-distance comparing graphs, not necessarily of the same size. We also show how these notions of convergence provide natural formulations of Szemerédi partitions, sampling and testing of large graphs.},
added-at = {2017-01-09T13:57:26.000+0100},
author = {Borgs, C. and Chayes, J.T. and Lovász, L. and Sós, V.T. and Vesztergombi, K.},
biburl = {https://www.bibsonomy.org/bibtex/20025f111fbda50efb735b79c6bd54f5a/yourwelcome},
doi = {10.1016/j.aim.2008.07.008},
interhash = {e8729251b9ced9d99c69a33a2f8c344d},
intrahash = {0025f111fbda50efb735b79c6bd54f5a},
issn = {0001-8708},
journal = {Advances in Mathematics},
keywords = {Free Graph Parameter Partition Sampling, Szemerédi \_tablet, energies, functions, partitions sequences, testing,},
month = dec,
number = 6,
pages = {1801--1851},
shorttitle = {Convergent sequences of dense graphs {I}},
timestamp = {2017-01-09T14:01:11.000+0100},
title = {Convergent sequences of dense graphs {I}: {Subgraph} frequencies, metric properties and testing},
url = {http://www.sciencedirect.com/science/article/pii/S0001870808002053},
urldate = {2013-09-01},
volume = 219,
year = 2008
}