Analysis of Uneven Distribution of Nodes Creating a Percolation Channel in Matrices with Translational Symmetry for Direct Current

In this study, the phenomenon of node percolation was tested using the Monte Carlo computer simulation method for square matrices with dimensions <i>L</i> = 55, 101 and 151. The number of samples for each matrix was 5 × 10<sup>6</sup>. The spatial distributions of the coordin...

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Main Authors: Pawel Zukowski, Pawel Okal, Konrad Kierczynski, Przemyslaw Rogalski, Vitalii Bondariev
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/22/7647
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author Pawel Zukowski
Pawel Okal
Konrad Kierczynski
Przemyslaw Rogalski
Vitalii Bondariev
author_facet Pawel Zukowski
Pawel Okal
Konrad Kierczynski
Przemyslaw Rogalski
Vitalii Bondariev
author_sort Pawel Zukowski
collection DOAJ
description In this study, the phenomenon of node percolation was tested using the Monte Carlo computer simulation method for square matrices with dimensions <i>L</i> = 55, 101 and 151. The number of samples for each matrix was 5 × 10<sup>6</sup>. The spatial distributions of the coordinates of the nodes creating the percolation channel were determined, and maps of the density distribution of these nodes were created. It has been established that in matrices with finite dimensions, an edge phenomenon occurs, consisting of a decrease in the concentration of nodes creating a percolation channel as one approaches the edge of the matrix. As the matrix dimensions increase, the intensity of this phenomenon decreases. This expands the area in which values close to the maximum occur. The length distributions of the left and right clusters of non-conducting nodes were determined for the situation when the next randomly selected node connects them and thus reaches the percolation threshold. It was found that clusters whose dimensions are close to half of the matrix dimensions are most likely to occur. The research shows that both the values of the standard deviation of the percolation threshold and the intensity of the edge phenomenon are clearly related to the dimensions of the matrices and decrease as they increase.
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spelling doaj.art-3655a36adff94d83b1b72554a9fd62312023-11-24T14:40:39ZengMDPI AGEnergies1996-10732023-11-011622764710.3390/en16227647Analysis of Uneven Distribution of Nodes Creating a Percolation Channel in Matrices with Translational Symmetry for Direct CurrentPawel Zukowski0Pawel Okal1Konrad Kierczynski2Przemyslaw Rogalski3Vitalii Bondariev4Department of Economics, Vincent Pol University in Lublin, 2, Choiny Str., 20-816 Lublin, PolandDepartment of Electrical Devices and High Voltage Technology, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, 38A, Nadbystrzycka Str., 20-618 Lublin, PolandDepartment of Electrical Devices and High Voltage Technology, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, 38A, Nadbystrzycka Str., 20-618 Lublin, PolandDepartment of Electrical Devices and High Voltage Technology, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, 38A, Nadbystrzycka Str., 20-618 Lublin, PolandDepartment of Electrical Devices and High Voltage Technology, Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, 38A, Nadbystrzycka Str., 20-618 Lublin, PolandIn this study, the phenomenon of node percolation was tested using the Monte Carlo computer simulation method for square matrices with dimensions <i>L</i> = 55, 101 and 151. The number of samples for each matrix was 5 × 10<sup>6</sup>. The spatial distributions of the coordinates of the nodes creating the percolation channel were determined, and maps of the density distribution of these nodes were created. It has been established that in matrices with finite dimensions, an edge phenomenon occurs, consisting of a decrease in the concentration of nodes creating a percolation channel as one approaches the edge of the matrix. As the matrix dimensions increase, the intensity of this phenomenon decreases. This expands the area in which values close to the maximum occur. The length distributions of the left and right clusters of non-conducting nodes were determined for the situation when the next randomly selected node connects them and thus reaches the percolation threshold. It was found that clusters whose dimensions are close to half of the matrix dimensions are most likely to occur. The research shows that both the values of the standard deviation of the percolation threshold and the intensity of the edge phenomenon are clearly related to the dimensions of the matrices and decrease as they increase.https://www.mdpi.com/1996-1073/16/22/7647metrological approachuncertainty of measurementpercolation phenomenonpercolation thresholdMonte Carlo methodcomputer simulation
spellingShingle Pawel Zukowski
Pawel Okal
Konrad Kierczynski
Przemyslaw Rogalski
Vitalii Bondariev
Analysis of Uneven Distribution of Nodes Creating a Percolation Channel in Matrices with Translational Symmetry for Direct Current
Energies
metrological approach
uncertainty of measurement
percolation phenomenon
percolation threshold
Monte Carlo method
computer simulation
title Analysis of Uneven Distribution of Nodes Creating a Percolation Channel in Matrices with Translational Symmetry for Direct Current
title_full Analysis of Uneven Distribution of Nodes Creating a Percolation Channel in Matrices with Translational Symmetry for Direct Current
title_fullStr Analysis of Uneven Distribution of Nodes Creating a Percolation Channel in Matrices with Translational Symmetry for Direct Current
title_full_unstemmed Analysis of Uneven Distribution of Nodes Creating a Percolation Channel in Matrices with Translational Symmetry for Direct Current
title_short Analysis of Uneven Distribution of Nodes Creating a Percolation Channel in Matrices with Translational Symmetry for Direct Current
title_sort analysis of uneven distribution of nodes creating a percolation channel in matrices with translational symmetry for direct current
topic metrological approach
uncertainty of measurement
percolation phenomenon
percolation threshold
Monte Carlo method
computer simulation
url https://www.mdpi.com/1996-1073/16/22/7647
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