Randomized feasible interpolation and monotone circuits with a local oracle
Jan Krajicek

TL;DR
This paper extends feasible interpolation to randomized protocols and introduces monotone circuits with a local oracle, linking semantic derivations to small randomized protocols and exploring lower bounds in proof complexity.
Contribution
It generalizes feasible interpolation to randomized protocols and introduces monotone circuits with a local oracle, connecting semantic derivations to communication complexity.
Findings
Randomized feasible interpolation applies to various proof systems.
Short semantic derivations lead to small randomized protocols.
Open problem: lower bounds for monotone CLOs separating NP sets.
Abstract
We generalize the feasible interpolation theorem for semantic derivations from K.(1997) by allowing randomized protocols (protocols in the sense of K.(1997). We also introduce an extension of the monotone circuit model, monotone circuits with a local oracle (CLOs), that does correspond to communication protocols for the monotone Karchmer-Wigderson multi-function making errors. The new randomized feasible interpolation thus shows that a short semantic derivation (from a certain class of derivations larger than in the original method) of the disjointness of , closed upwards, yields a small randomized protocol for and hence a small monotone CLO separating the sets. To establish a lower bound for monotone CLOs separating two NP sets, one closed upwards, is an open problem. This research is motivated by the open problem to establish a lower bound for proof system…
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