On June 25, 2019, Patrice Ossona de Mendez from CNRS, France presented a talk on the structural sparsity of graphs in terms of the model theoretic notion of first-order transduction. The title of his talk was “A model theoretical approach to sparsity“.
Patrice Ossona de Mendez, A model theoretical approach to sparsity
We discuss how the model theoretic notion of first-order transduction allows to define a notion of structural sparsity, and give some example of applications, like existence of low shrub-depth decompositions for tranductions of bounded expansion classes, characterization of transductions of classes with bounded pathwidth, decompositions of graphs with bounded rank-width into cographs.