Complexity of verification in self-assembly with prebuilt assemblies

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
David Caballero , Timothy Gomez , Robert Schweller , Tim Wylie
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引用次数: 0

Abstract

We analyze the complexity of two fundamental verification problems within a generalization of the two-handed tile self-assembly model (2HAM) where initial system assemblies are not restricted to be singleton tiles, but may be larger prebuilt assemblies. Within this model we consider the producibility problem, which asks if a given tile system builds, or produces, a given assembly, and the unique assembly verification (UAV) problem, which asks if a given system uniquely produces a given assembly. We show that producibility is NP-complete and UAV is coNPNP-complete even when the initial assembly size and temperature threshold are both bounded by a constant. This is in stark contrast to results in the standard model with singleton input tiles where producibility is in P and UAV is coNP-complete with constant temperature. We further provide preliminary polynomial time results for producibility and UAV in the case of 1-dimensional linear assemblies with pre-built assemblies, as well as extend our results to the abstract Tile Assembly Model (aTAM) with constant-size attachable assemblies.

预组装自组装验证的复杂性
我们在双手瓦片自组装模型(2HAM)的推广中分析了两个基本验证问题的复杂性,其中初始系统组件不限于单个瓦片,而是可能是更大的预构建组件。在这个模型中,我们考虑了可生产性问题,该问题询问给定的瓦片系统是否构建或生产给定的组件,以及唯一的组件验证(UAV)问题,该问题询问给定的系统是否唯一地生产给定的组装。我们证明,即使初始组装尺寸和温度阈值都受常数约束,可生产性也是NP完全的,无人机也是coNPNP完全的。这与具有单一输入瓦片的标准模型中的结果形成了鲜明对比,其中可生产性为P,无人机在恒定温度下为coNP完全。我们进一步提供了具有预制组件的一维线性组件的可生产性和无人机的初步多项式时间结果,并将我们的结果扩展到具有恒定尺寸可连接组件的抽象瓷砖组件模型(aTAM)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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