2019
DOI: 10.1142/s1793525319500225
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Combinatorial higher dimensional isoperimetry and divergence

Abstract: In this paper we provide a framework for the study of isoperimetric problems in finitely generated group, through a combinatorial study of universal covers of compact simplicial complexes. We show that, when estimating filling functions, one can restrict to simplicial spheres of particular shapes, called "round" and "unfolded", provided that a bounded quasi-geodesic combing exists. We prove that the problem of estimating higher dimensional divergence as well can be restricted to round spheres. Applications of … Show more

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Cited by 3 publications
(13 citation statements)
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“…Since a finite (n + 1)-presentation of a group composed only of simplices can always be found, it suffices to restrict to simplicial complexes when discussing filling problems. Throughout the paper, we make use of the terminology related to the n-dimensional filling functions in the simplicial setting as described in full detail in [BD2]. We briefly recall a number of relevant notions and results.…”
Section: A Metric Space Is Calledmentioning
confidence: 99%
See 4 more Smart Citations
“…Since a finite (n + 1)-presentation of a group composed only of simplices can always be found, it suffices to restrict to simplicial complexes when discussing filling problems. Throughout the paper, we make use of the terminology related to the n-dimensional filling functions in the simplicial setting as described in full detail in [BD2]. We briefly recall a number of relevant notions and results.…”
Section: A Metric Space Is Calledmentioning
confidence: 99%
“…In [BD2] we proved that under certain conditions, which are satisfied in the presence of a bounded quasi-geodesic combing, an arbitrary sphere has a partition into round spheres, such that the sum of the volumes of the spheres in the partition is bounded by a multiple of the volume of the initial sphere. Here a partition consists of the following: finitely many spheres (more generally, hypersurfaces) h 1 , .…”
Section: A Metric Space Is Calledmentioning
confidence: 99%
See 3 more Smart Citations