Next Article in Journal / Special Issue
Fluctuations, Finite-Size Effects and the Thermodynamic Limit in Computer Simulations: Revisiting the Spatial Block Analysis Method
Previous Article in Journal
Logarithmic Sobolev Inequality and Exponential Convergence of a Markovian Semigroup in the Zygmund Space
Previous Article in Special Issue
Information Landscape and Flux, Mutual Information Rate Decomposition and Connections to Entropy Production
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Entropy 2018, 20(4), 221; https://doi.org/10.3390/e20040221

Information Dynamics of a Nonlinear Stochastic Nanopore System

1
Department of Physics and Astronomy, University of California-Irvine, Irvine, CA 92697-4575, USA
2
Department of Military and Emergency Medicine, Uniformed Services University, Bethesda, MD 20814, USA
3
Department of Chemistry, University of California-Irvine, Irvine, CA 92697-2025, USA
*
Author to whom correspondence should be addressed.
Received: 21 February 2018 / Revised: 19 March 2018 / Accepted: 21 March 2018 / Published: 23 March 2018
(This article belongs to the Special Issue Thermodynamics and Statistical Mechanics of Small Systems)
View Full-Text   |   Download PDF [1678 KB, uploaded 26 March 2018]   |  

Abstract

Nanopores have become a subject of interest in the scientific community due to their potential uses in nanometer-scale laboratory and research applications, including infectious disease diagnostics and DNA sequencing. Additionally, they display behavioral similarity to molecular and cellular scale physiological processes. Recent advances in information theory have made it possible to probe the information dynamics of nonlinear stochastic dynamical systems, such as autonomously fluctuating nanopore systems, which has enhanced our understanding of the physical systems they model. We present the results of local (LER) and specific entropy rate (SER) computations from a simulation study of an autonomously fluctuating nanopore system. We learn that both metrics show increases that correspond to fluctuations in the nanopore current, indicating fundamental changes in information generation surrounding these fluctuations. View Full-Text
Keywords: entropy; local entropy rate; specific entropy rate; information dynamics; k-nearest neighbor estimation; nanopore entropy; local entropy rate; specific entropy rate; information dynamics; k-nearest neighbor estimation; nanopore
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Gilpin, C.; Darmon, D.; Siwy, Z.; Martens, C. Information Dynamics of a Nonlinear Stochastic Nanopore System. Entropy 2018, 20, 221.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top