Complexities for Generalized Models of Self-Assembly
by
Gagan Aggarwal, Michael H. Goldwasser,
Ming-Yang Kao and Robert T. Schweller
Abstract:
In this paper, we extend Rothemund and Winfree's examination of the
tile complexity of tile self-assembly. They provided a lower bound of
$\Omega(\frac{\log N}{\log\log N})$ on the tile complexity of
assembling an N x N square for almost all N. Adleman et al. gave a
construction which achieves this bound. We consider whether the tile
complexity for self-assembly can be reduced through several natural
generalizations of the model. One of our results is a tile set of size
$O(\sqrt{\log N})$ which assembles an N x N square in a model which
allows flexible glue strength between non-equal glues. This result is
matched by a lower bound dictated by Kolmogorov complexity. For three
other generalizations, we show that the $\Omega(\frac{\log N}{\log\log N})$
lower bound applies to N x N squares. At the same time, we demonstrate
that there are some other shapes for which these generalizations allow
reduced tile sets. Specifically, for thin rectangles with length N and
width k, we provide a tighter lower bound of $\Omega(\frac{N^\frac{1}{k}}{k})$
standard model, yet we also give a construction which achieves
$O(\frac{\log N}{\log\log N})$ complexity in a model in which the
temperature of the tile system is adjusted during assembly. We also
investigate the problem of verifying whether a given tile system
uniquely assembles into a given shape, and show that this problem is
NP-hard.
- Citation:
- Complexities for Generalized Models of Self-Assembly
- Gagan Aggarwal, Michael H. Goldwasser, Ming-Yang Kao, and Robert
T. Schweller
- Proceedings of the 15th Annual ACM-SIAM Symposium on
Discrete Algorithms (SODA), New Orleans, Louisiana, Jan. 2004, pp. 880-889.
- DOI:10.1145/982792.982926
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- A complete version later appeared as:
- Complexities for Generalized Models of
Self-assembly
- Gagan Aggarwal, Qi Cheng, Michael H. Goldwasser, Ming-Yang Kao, Pablo
Moisset de Espanes, and Robert T. Schweller
- SIAM Journal of Computing, 34(6):1493-1515, 2005.
- DOI:10.1137/S0097539704445202
- Download as:
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abstract,
pdf,
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Michael Goldwasser