Gauss's Law
Claimed by Charu Thomas (SPRING 2017) Claimed by Lin Htet Kyaw FALL 2017; Claimed by Ishita Mathur Spring 2018; Claimed by Eric Salisbury Spring 2018
Gauss's Law describes the relationship between charges and electric flux. The Law presents that the net electric flux outside a surface is equal to the charge inside the surface over the constant permittivity of space. In equation form it looks like, Φ=Q/εₒ. In addition, this law also relates the integral over Electric field enclosed multiplied by the change in area to net electric flux outside a surface. In equation form this looks like Φ=∮E*dA.
Additionally, Coulomb's Law and Gauss's Law are innately connected. Coulomb's Law relates charge to electric field. Gauss's Law relates charge to electric flux. Both laws, relate charge to an electrical property. For clarification, the electric flux is a quantity that is equal to the product of the perpendicular component of E-field and the area of the closed surface. Not only do these two laws look similar at the surface, but using one law it is quite easy to derive the other law.
The Main Idea
We know from the previous introduction of flux that there is a relationship between the electric flux on a closed surface and the charges inside the surface. However, we would like to figure out what that particular factor is.
We start by considering a point charge of +Q enclosed by an imaginary spherical shell.
Everywhere on the imaginary shell, the electric field produced is parallel to the normal unit vector. Cos(0) = 1, so the dot product evaluates to the magnitude of the electric field. Recall that the surface area of the imaginary sphere is 4*pi*r^2. With Coulomb's Law and the surface area of a sphere, we get that electric flux is equal to +Q/ε0. This implies that the factor is 1/ε0.
Note that if the point charge was negative, the electric field would still be parallel, just opposite direction. Cos(180) = -1 so the dot product would be -1 times the magnitude of the electric field.
To summarize, the idea of Gauss's Law is that the electric flux out of a closed surface is equivalent to the charge enclosed, divided by the permittivity.
A Mathematical Model
A very helpful and clear summary of this Law can be found in the diagram below. As can be seen on the left side of this diagram, change in flux equals electric field multiplied by change in area.
Image Taken from Hyperphysics
To more clearly state it, in integral form, the formula for this Law is the electric flux equals the total charge contained by a closed surface, divided by the permittivity (epsilon naught: ε0 = 8.854187817...×10−12 F⋅m−1).
Additionally, Gauss's law can be written in differential form.
Media:Screen Shot 2018-04-18 at 5.31.54 PM.png
In this equation, ρ is electric charge density, ∇*E is divergence of electric field, and ε0 = 8.854187817...×10−12 F⋅m−1.
The picture below illustrates Gauss's Law with a detailed explanation.
Examples
Example 1: In order to apply Gauss's Law, it is important to be certain you are working with a closed surface, then set electric flux equal to the internal field divided by the permittivity (epsilon naught: ε0 = 8.854187817...×10−12 F⋅m−1). An example of this Law being applied can be found below.
Example 2: The example below shows how to calculate the net charge enclosed by a box.
Example 3: The example below shows how to determine the net charge located inside a box and is fundamental to understanding Gauss's Law. It demonstrates the idea that to calculate the net charge inside a box, we have to start off by calculating the fluxes acting on all surfaces on the box by using the Gauss's Law.
Connectedness
Gauss's Law, as well as the other Maxwell Equations form a basis for electrodynamics. They are the fundamental core of this field of study. Gauss's Law is also connected to the Gaussian/Normal distribution, which is a continuous probability distribution that is characterized by a bell-shaped curve.
As Industrial and Systems Engineering majors, we deal with many statistical distributions. A very important fundamental distribution is the Gaussian distribution or the Normal Distribution. With inference, the Gaussian Distribution comes up in confidence intervals for single statistics. With comparison inference, like finding the pairwise difference between statistics, generally we use other distributions such as the T-Distribution. However, the T-Distribution approximates the Gaussian distribution with degrees of freedom greater than 29.
As civil and environmental engineering majors, we also deal with the Gaussian/Normal Distribution in our fields. As an example, the speed data of traffic on a highway is said to follow the normal distribution.
History
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Carl Friedrich Gauss was a German Mathematician and Physicist who contributed notably to a wide variety of fields regarding mathematical and scientific study. He has been referred to as the "greatest mathematician since antiquity" and the "foremost of mathematicians". He is considered one of the most impactful and influential contributors to the fields of Mathematics and Physics in history.
See also
Gauss's Law is tied in closely with the other of Maxwell's equations that can be found here in the Physics Book.
http://physicsbook.gatech.edu/Gauss%27s_Flux_Theorem
http://physicsbook.gatech.edu/Faraday%27s_Law
http://physicsbook.gatech.edu/Magnetic_Flux
http://physicsbook.gatech.edu/Ampere%27s_Law
External links
http://physics.info/law-gauss/
http://teacher.nsrl.rochester.edu/phy122/Lecture_Notes/Chapter24/Chapter24.html
https://en.wikipedia.org/wiki/Gauss%27s_law
https://en.wikipedia.org/wiki/Carl_Friedrich_Gauss
http://physicscatalyst.com/elec/guass_0.php
References
http://hyperphysics.phy-astr.gsu.edu/hbase/electric/gaulaw.html
http://www.pas.rochester.edu/~stte/phy114S09/lectures/lect04.pdf
http://www.sciencedirect.com/science/article/pii/S2090447911000165
spiff.rit.edu
study.com