Directed Hypercube Routing, a Generalized Lehman-Ron Theorem, and Monotonicity Testing
Deeparnab Chakrabarty, C. Seshadhri
TL;DR
The paper studies routing in the directed hypercube and its connections to monotonicity testing by reframing Lehman-Ron via flow-cut duality. It first presents an alternate flow-based proof of the LR theorem and then extends it to a generalized dist2 setting, obtaining two edge-disjoint LR solutions when the layer gap satisfies $j-i\ge 2$. It introduces conjectures on flows with simultaneous vertex and edge capacities that would imply robust directed isoperimetric bounds, including the directed Talagrand inequality, thereby linking combinatorial routing to monotonicity testing. The work highlights a path toward purely combinatorial proofs of directed isoperimetry theorems and suggests a rich interaction between routing on the directed hypercube and monotonicity testing theory.
Abstract
Motivated by applications to monotonicity testing, Lehman and Ron (JCTA, 2001) proved the existence of a collection of vertex disjoint paths between comparable sub-level sets in the directed hypercube. The main technical contribution of this paper is a new proof method that yields a generalization to their theorem: we prove the existence of two edge-disjoint collections of vertex disjoint paths. Our main conceptual contribution are conjectures on directed hypercube flows with simultaneous vertex and edge capacities of which our generalized Lehman-Ron theorem is a special case. We show that these conjectures imply directed isoperimetric theorems, and in particular, the robust directed Talagrand inequality due to Khot, Minzer, and Safra (SIAM J. on Comp, 2018). These isoperimetric inequalities, that relate the directed surface area (of a set in the hypercube) to its distance to monotonicity, have been crucial in obtaining the best monotonicity testers for Boolean functions. We believe our conjectures pave the way towards combinatorial proofs of these directed isoperimetry theorems.
