Representation of a Gradient for Scalar Electromagnetic Field in MATLAB using Differential Operators

D.K. Bonello¹ , Y. Iano² , U.B. Neto³

1. Dept. of Communications, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil.
2. Dept. of Communications, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil.
3. Dept. of Communications, School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil.

Correspondence should be addressed to: danielb.katze@gmail.com, Tel.: +55-19-999699274.

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.2 , pp.10-14, Apr-2020

CrossRef-DOI:   https://doi.org/10.26438/ijsrpas/v8i2.1014

Online published on Apr 30, 2020

Copyright © D.K. Bonello, Y. Iano, U.B. Neto . 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.
 

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Abstract :
In this work was deduced the representation of an algorithm, developed in MATLAB, to calculate an electromagnetic scalar field utilizing differential operators to generate graphics about the electromagnetic spectrum, the distance X,Y of the field curvature, as well as the gradient example of the electromagnetic field. The main objective of this article is to compare the new GUI features of the algorithm developed in MATLAB to the previous algorithm as cited in the previous work of this paper, showing also the spectrum average of this new algorithm can reach, according to the differential operators values inserted into the code.

Key-Words / Index Term :
Electromagnetic field, Differential operators, Numerical calculus, Simulations, MATLAB, Linear function

References :
[1] M. Rouse, “Electromagnetic Field,” TechTarget Publisher, United States, pp. 1-3, 2010.
[2] Portland State University, “ECE331 Lab 4: Numerical Electromagnetic Experiments,” Department of Electrical and Computer Engineering, United States, pp. 2-8, 2013.
[3] Physics Catalyst, “Gradient of a scalar field and its physical significance,” Physics Catalyst, United States, pp. 7-9, 2018.
[4] Web Formulas, “Gradient of a Scalar Field,” Web Formulas, United States, pp.4-6, 2019.
[5] F. Anselmet, H. Djeridi, L. Furlachier, “Joint Statistics of a Passive Scalar and its Dissipation in Turbulent Flows,” International Journal of Fluid Mech, Vol. 280, Issue.1, pp. 173-197, 1994.
[6] E. Effelsberg, N. Peters, “A Composite Model for the Conserved Scalar PDF,” International Journal of Combust Flame, Vol.50, Issue.1, pp. 351-360, 1983.
[7] J.H. Williamson, “Low-Storage Runge-Kutta Schemes,” International Journal of Computer Physics, Vol.35, Issue.4, pp. 48-56, 1980.
[8] K.R. Sreenivasan, R.A. Antonia, “The Phenomenology of Small-Scale Turbulence,” Annu. Rev. Fluid Mech, United States, pp.435-472, 1997.
[9] C. Pantano, “Direct Simulation of Nonpremixed Flame Extinction in a Methane-Air Jet With Reduced Chemistry,” International Journal of Fluid Mech, Vol.514, Issue.2, pp. 231-270, 2004.
[10] A.B. Cortesi, B.L. Smith, B. Sigg, S. Banerjee, “Numerical Investigation of the Scalar Probability Density Function Distribution in Neutral and Stably Stratified Mixing Layers,” International Journal of Physics Fluids, Vol.13, Issuue.4, pp.927-950, 2001.
[11] S.B Doma, N.A El-Nohy, M.A Salem, “Ground States of Few Electron Atoms in a Strong Magnetic Field Using Diffusion Monte Carlo Method,” International Journal of Scientific Research in Physics and Applied Sciences, Vol.8, Issue.1, pp. 1-7, 2020.