Difference between revisions of "Computability and Complexity in Self-Assembly"

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of nanoscale self-assembly. We work in the two-dimensional tile assembly model, i.e., in the discrete
 
of nanoscale self-assembly. We work in the two-dimensional tile assembly model, i.e., in the discrete
 
Euclidean plane $\mathbb{Z} \times \mathbb{Z}$. Our first main theorem says that there is a roughly quadratic function $f$ such
 
Euclidean plane $\mathbb{Z} \times \mathbb{Z}$. Our first main theorem says that there is a roughly quadratic function $f$ such
that a set $A \subseteq \mathbb{Z}^+$
+
that a set $A \subseteq \mathbb{Z}^+$ is computably enumerable if and only if the set $X_A$ = {($f(n)$, $0$)$ | $n$ $in$ $A$} – a simple representation of $A$ as a set of points on the x-axis – self-assembles in Winfree’s sense.  In contrast, our
is computably enumerable if and only if the set $X_A = \{(f(n), 0) | n \in A\}$ – a simple
 
representation of $A$ as a set of points on the x-axis – self-assembles in Winfree’s sense.  In contrast, our
 
 
second main theorem says that there are decidable sets $D \subseteq \mathbb{Z} \times \mathbb{Z}$ that do not self-assemble in Winfree’s
 
second main theorem says that there are decidable sets $D \subseteq \mathbb{Z} \times \mathbb{Z}$ that do not self-assemble in Winfree’s
 
sense.
 
sense.

Revision as of 12:22, 22 June 2021

Published on: 2010/04/20

Abstract

This paper explores the impact of geometry on computability and complexity in Winfree’s model of nanoscale self-assembly. We work in the two-dimensional tile assembly model, i.e., in the discrete Euclidean plane \(\mathbb{Z} \times \mathbb{Z}\). Our first main theorem says that there is a roughly quadratic function \(f\) such that a set \(A \subseteq \mathbb{Z}^+\) is computably enumerable if and only if the set \(X_A\) = {(\(f(n)\), \(0\))\(

Authors

James I. Lathrop, Jack H. Lutz, Matthew J. Patitz, and Scott M. Summers

File

Computability and Complexity in Self-Assembly.pdf