Depth lower bounds in Stabbing Planes for combinatorial principles
Stefan Dantchev, Nicola Galesi, Abdul Ghani, Barnaby Martin

TL;DR
This paper introduces two new geometric methods for proving size and depth lower bounds in the Stabbing Planes proof system, applying them to various combinatorial principles.
Contribution
It presents novel geometric approaches, the antichain and covering methods, for establishing lower bounds in Stabbing Planes applicable to any formula.
Findings
Almost linear size lower bounds for Pigeonhole principle
Logarithmic depth lower bounds for Pigeonhole principle
Superlinear size and logarithmic depth bounds for Tseitin contradictions
Abstract
Stabbing Planes (also known as Branch and Cut) is a proof system introduced very recently which, informally speaking, extends the DPLL method by branching on integer linear inequalities instead of single variables. The techniques known so far to prove size and depth lower bounds for Stabbing Planes are generalizations of those used for the Cutting Planes proof system. For size lower bounds these are established by monotone circuit arguments, while for depth these are found via communication complexity and protection. As such these bounds apply for lifted versions of combinatorial statements. Rank lower bounds for Cutting Planes are also obtained by geometric arguments called protection lemmas. In this work we introduce two new geometric approaches to prove size/depth lower bounds in Stabbing Planes working for any formula: (1) the antichain method, relying on Sperner's Theorem and (2)…
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