A Verified Decision Procedure for Univariate Real Arithmetic with the BKR Algorithm

Katherine Cordwell, Yong Kiam Tan, André Platzer
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引用次数: 6

Abstract

We formalize the univariate fragment of Ben-Or, Kozen, and Reif’s (BKR) decision procedure for first-order real arithmetic in Isabelle/HOL. BKR’s algorithm has good potential for parallelism and was designed to be used in practice. Its key insight is a clever recursive procedure that computes the set of all consistent sign assignments for an input set of univariate polynomials while carefully managing intermediate steps to avoid exponential blowup from naively enumerating all possible sign assignments (this insight is fundamental for both the univariate case and the general case). Our proof combines ideas from BKR and a follow-up work by Renegar that are well-suited for formalization. The resulting proof outline allows us to build substantially on Isabelle/HOL’s libraries for algebra, analysis, and matrices. Our main extensions to existing libraries are also detailed.
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用BKR算法验证单变量实数算法的决策过程
我们形式化了Isabelle/HOL中一阶实数算法的Ben-Or, Kozen, and Reif (BKR)决策过程的单变量片段。BKR算法具有良好的并行化潜力,并设计用于实际应用。它的关键洞察力是一个聪明的递归过程,它为一组单变量多项式的输入计算所有一致的符号赋值集合,同时小心地管理中间步骤,以避免天真地枚举所有可能的符号赋值而导致指数爆炸(这种洞察力对于单变量情况和一般情况都是基本的)。我们的证明结合了BKR的想法和Renegar的后续工作,非常适合形式化。由此产生的证明大纲允许我们在Isabelle/HOL的代数、分析和矩阵库的基础上进行大量构建。我们对现有库的主要扩展也有详细说明。
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