On Lower Bound Methods for Tree-like Cutting Plane Proofs

arXiv: Computational Complexity(2013)

引用 23|浏览10
暂无评分
摘要
In the book Boolean Function Complexity by Stasys Jukna, two lower bound techniques for Tree-like Cutting Plane proofs (henceforth, "Tree-CP proofs") using Karchmer-Widgerson type communication games (henceforth, "KW games") are presented: The first, applicable to Tree-CP proofs with bounded coefficients, translates Omega(t) deterministic lower bounds on KW games to 2^Omega(t/log n) lower bounds on Tree-CP proof size. The second, applicable to Tree-CP proofs with unbounded coefficients, translates Omega(t) randomized lower bounds on KW games to 2^Omega(t/log^2 n) lower bounds on Tree-CP proof size. The textbook proof in the latter case uses a O(log^2 n)-bit randomized protocol for the GreaterThan function. However, Nisan mentioned using the ideas of Feige, et al. to construct a O(log n + log(1/epsilon))-bit randomized protocol for GreaterThan. Nisan did not explicitly give the proof, though later results in his paper assume such a protocol. In this short exposition, we present the full O(log n + log(1/epsilon))-bit randomized protocol for the GreaterThan function based on the ideas of Feige, et al. for "noisy binary search." As an application, we show how to translate Omega(t) randomized lower bounds on KW games to 2^Omega(t/log n) lower bounds on Tree-CP proof size in the unbounded coefficient case. This equates randomness with coefficient size for the Tree-CP/KW game lower bound method. We believe that, while the O(log n + log(1/epsilon))-bit randomized protocol for GreaterThan is a "known" result, the explicit connection to Tree-CP proof size lower bounds given here is new.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要