1. EXISTENCE OF MODELING LIMITS FOR SEQUENCES OF SPARSE STRUCTURES
- Author
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NEŠETŘIL, JAROSLAV and OSSONA DE MENDEZ, PATRICE
- Abstract
AbstractA sequence of graphs is FO-convergent if the probability of satisfaction of every first-order formula converges. A graph modeling is a graph, whose domain is a standard probability space, with the property that every definable set is Borel. It was known that FO-convergent sequence of graphs do not always admit a modeling limit, but it was conjectured that FO-convergent sequences of sufficiently sparse graphs have a modeling limits. Precisely, two conjectures were proposed:1.If a FO-convergent sequence of graphs is residual, that is if for every integer dthe maximum relative size of a ball of radius din the graphs of the sequence tends to zero, then the sequence has a modeling limit.2.A monotone class of graphs ${\cal C}$has the property that every FO-convergent sequence of graphs from ${\cal C}$has a modeling limit if and only if ${\cal C}$is nowhere dense, that is if and only if for each integer pthere is $N\left( p \right)$such that no graph in ${\cal C}$contains the pth subdivision of a complete graph on $N\left( p \right)$vertices as a subgraph.In this article we prove both conjectures. This solves some of the main problems in the area and among others provides an analytic characterization of the nowhere dense–somewhere dense dichotomy.
- Published
- 2019
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