The Proof Complexity of SMT Solvers

Authors: Robert Robere, Antonina Kolokolova and Vijay Ganesh

Paper Information

Title:The Proof Complexity of SMT Solvers
Authors:Robert Robere, Antonina Kolokolova and Vijay Ganesh
Proceedings:CAV All Papers
Editors: Georg Weissenbacher, Hana Chockler and Igor Konnov
Keywords:SMT Solvers, Proof Complexity, Resolution, Conflict-Driven Clause Learning, Uninterpreted Function Symbols, Satisfiability Modulo Theories

ABSTRACT. The resolution proof system has been enormously helpful in deepening our understanding of conflict-driven clause-learning (CDCL) SAT solvers. In the interest of providing a similar proof complexity-theoretic analysis of satisfiability modulo theories (SMT) solvers, we introduce a generalization of resolution called Res(T). We show that many of the known results comparing resolution and CDCL solvers lift to the SMT setting, such as the result of Pipatsrisawat and Darwiche showing that CDCL solvers with ``perfect'' non-deterministic branching and an asserting clause-learning scheme can polynomially simulate general resolution. We also describe a stronger version of Res(T), Res*(T), capturing SMT solvers allowing introduction of new literals.

We analyze the theory EUF of equality with uninterpreted functions, and show that the Res*(EUF) system is able to simulate an earlier calculus introduced by Bjorner and De Moura for the purpose of analyzing DPLL(EUF). Further, we show that Res*(EUF) (and thus SMT algorithms with clause learning over EUF, new literal introduction rules and perfect branching) can simulate the Frege proof system, which is well-known to be far more powerful than resolution. Finally, we prove under the Exponential Time Hypothesis (ETH) that any reduction from EUF to SAT (such as the Ackermann reduction) must, in the worst case, produce an instance of size at least n log n from an instance of size n.

Talk:Jul 17 11:45 (Session 119A: SAT, SMT and Decision Procedures)