Abstract
Representation of a Gradient for Scalar Electromagnetic Field in MATLAB using Differential Operators
Highlights
Electromagnetic fields were first discovered in the 19th century, when physicists noticed that electric arcs could be reproduced at a distance, with no connecting wires in between
The following image shows the screen of the algorithm developed in MATLAB capable to detect a gradient of a scalar electromagnetic field using differential operators ∇ (x,y,z) within four minimal differential functions defined as the patterns for this study in question
The previous interfaces, as well as the previous algorithm for the electromagnetic field detection, is represented by the Figure 3, Figure 4 and Figure 5, as a simple “figure function” embedded at the previous code developed in MATLAB
Summary
Electromagnetic fields were first discovered in the 19th century, when physicists noticed that electric arcs (sparks) could be reproduced at a distance, with no connecting wires in between. This led scientists to believe that it was possible to communicate over long distances without wires [1]. Charged particles in motion produce magnetic fields. When the velocity of a charged particle changes, an EM field is produced. Temperature here is a scalar field represented by the function T(x,y,z). Since temperature depends on the distance it could increase in some directions and decrease in some directions. It could increase or decrease rapidly along with some directions in comparison to other directions [2]
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