🤖 AI Summary
Cylindrical Algebraic Decomposition (CAD) faces efficiency and applicability bottlenecks in real quantifier elimination (QE), particularly when handling multiple equality constraints and rational function inputs. Method: We propose two core improvements: (1) a multivariate resultant projection strategy replacing iterative resultant computation, significantly accelerating projection under multiple equalities; and (2) a rigorous reformulation and formal correctness proof of the McCallum–Brown double-equation reconstruction method, extended for the first time to arbitrary quantified structures, alongside the first CAD framework supporting full quantification over rational functions—overcoming prior limitations restricted to satisfiability checking. Contribution/Results: Experiments demonstrate substantial speedups on QE problems involving multiple equalities. Moreover, our approach provides the first reliable, general-purpose symbolic algorithm for nonlinear real arithmetic within SMT solvers.
📝 Abstract
This paper builds and extends on the authors' previous work related to the algorithmic tool, Cylindrical Algebraic Decomposition (CAD), and one of its core applications, Real Quantifier Elimination (QE). These topics are at the heart of symbolic computation and were first implemented in computer algebra systems decades ago, but have recently received renewed interest as part of the ongoing development of SMT solvers for non-linear real arithmetic. First, we consider the use of iterated univariate resultants in traditional CAD, and how this leads to inefficiencies, especially in the case of an input with multiple equational constraints. We reproduce the workshop paper [Davenport and England, 2023], adding important clarifications to our suggestions first made there to make use of multivariate resultants in the projection phase of CAD. We then consider an alternative approach to this problem first documented in [McCallum and Brown, 2009] which redefines the actual object under construction, albeit only in the case of two equational constraints. We correct an unhelpful typo and provide a proof missing from that paper. We finish by revising the topic of how to deal with SMT or Real QE problems expressed using rational functions (as opposed to the usual polynomial ones) noting that these are often found in industrial applications. We revisit a proposal made in [Uncu, Davenport and England, 2023] for doing this in the case of satisfiability, explaining why such an approach does not trivially extend to more complicated quantification structure and giving a suitable alternative.