Expectation and variance of self-assembled graph structures

  • Authors:
  • Nataša Jonoska;Gregory L. McColm;Ana Staninska

  • Affiliations:
  • Department of Mathematics, University of South Florida;Department of Mathematics, University of South Florida;Department of Mathematics, University of South Florida

  • Venue:
  • DNA'05 Proceedings of the 11th international conference on DNA Computing
  • Year:
  • 2005

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Abstract

Understanding how nanostructures are self-assembled into more complex forms is a crucial component of nanotechnology that shall lead towards understanding other processes and structures in nature. In this paper we use a model of self-assembly using flexible junction molecules and describe how it can in some static conditions be used to predict the outcome of a graph self-assembly. Using probabilistic methods, we show the expectation and the variance of the number of self-assembled cycles, K3, and discuss generalization of these results for Cn. We tie this analysis to previously observed experimental results.