Lower Bounds for Bit Pigeonhole Principles in Bounded-Depth Resolution over Parities
Farzan Byramji, Russell Impagliazzo

TL;DR
This paper establishes exponential lower bounds for bounded-depth resolution over parities proofs of the bit pigeonhole principle and its generalizations, advancing understanding of proof complexity in this domain.
Contribution
It proves new exponential lower bounds for Res(⊕) proofs of BPHP and its variants at certain depths, and introduces a lifting theorem connecting decision tree hardness to proof complexity.
Findings
Res(⊕) proofs of BPHP require exponential size at certain depths.
Generalized BPHP variants also require exponential size in Res(⊕).
A new lifting theorem relates decision tree hardness to proof complexity.
Abstract
We prove lower bounds for proofs of the bit pigeonhole principle (BPHP) and its generalizations in bounded-depth resolution over parities (Res). For weak BPHP with pigeons (for any constant ) and holes, for all , we prove that any depth proof in Res must have exponential size, where is the number of variables. Inspired by recent work in TFNP on multicollision-finding, we consider a generalization of the bit pigeonhole principle, denoted -BPHP, asserting that there is a map from to () such that each has fewer than preimages. We prove that any depth proof in Res of -BPHP (for any constant ) must have exponential size. For the usual bit pigeonhole principle, we show that any depth…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Constraint Satisfaction and Optimization · Cryptography and Data Security
