The Minimum Formula Size Problem is (ETH) Hard

The Minimum Formula Size Problem is (ETH) Hard
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最小公式大小问题(ETH)很难

DOI:
10.1109/focs52979.2021.00050
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发表时间:
2022
期刊:
2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS)
影响因子:
--
通讯作者:
Rahul Ilango
Rahul Ilango
中科院分区:
--
文献类型:
--
作者:
Rahul Ilango

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最小电路尺寸问题(MCSP)是否是NP完全问题是一个长期存在的问题。事实上,即使是确定MCSP是否具有搜索到决策的减少也已经开放了二十多年。我们发现,在指数时间假设下,最小(DeMorgan)公式大小问题,MFSP,是不是在P.在此基础上,我们表明,MFSP有一个多项式时间(精确)的搜索决策减少,结果不相对化。我们的主要技术涉及的公式复杂性的部分功能与相关的总功能的公式复杂性,并证明使用“叶加权”技术的Buchfuhrer和乌曼斯。
A longstanding open question is whether the Minimum Circuit Size Problem (MCSP) is NP-complete. In fact, even determining whether MCSP has a search-to-decision reduction has been open for over twenty years. We show that, under the Exponential Time Hypothesis, the Minimum (DeMorgan) Formula Size Problem, MFSP, is not in P. Building on this, we show that MFSP has a polynomial-time (exact) search-to-decision reduction, a result that does not relativize. Our main technique relates the formula complexity of a partial function with the formula complexity of an associated total function and is proved using the “leaf weighting” technique of Buchfuhrer and Umans.
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影响因子: --
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