On sharp isoperimetric inequalities on the hypercube
David Beltran, Paata Ivanisvili, Jos\'e Madrid

TL;DR
This paper establishes sharp isoperimetric inequalities on the hypercube, improves bounds for certain set measures, and extends Talagrand's inequalities to Banach space-valued functions, advancing understanding of combinatorial and functional inequalities.
Contribution
It proves a new sharp isoperimetric inequality for hypercube sets, refines bounds on expected neighbor counts, and extends Talagrand's inequalities to Banach spaces with finite cotype.
Findings
Sharp isoperimetric inequality for all subsets of the hypercube.
Improved bounds on expected neighbor counts for sets with measure ≥ 1/2.
Extension of Talagrand's inequalities to Banach space-valued functions.
Abstract
We prove the sharp isoperimetric inequality for all sets , where denotes the uniform probability measure, , is supported on and to each vertex assigns the number of neighbour vertices in the complement of . The inequality becomes equality for any subcube. Moreover, we provide lower bounds on in terms of for all , improving, and in some cases tightening, previously known results. In particular, we obtain the sharp inequality for all sets with , which allows us to refine a recent result of Kahn and Park on isoperimetric inequalities about partitioning the hypercube. Furthermore, we derive…
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Taxonomy
TopicsPoint processes and geometric inequalities · Mathematical Approximation and Integration
