Potential Difference in a non-Uniform Field: Difference between revisions

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When looking at the graphs below, the Uniform Field has parallel and equal magnitude arrows throughout the region whereas the Non-Uniform Field will have points that go other directions at some point.
When looking at the graphs below, the Uniform Field has parallel and equal magnitude arrows throughout the region whereas the Non-Uniform Field will have points that go other directions at some point.


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===Potential Difference===
===Potential Difference===

Revision as of 17:58, 24 November 2018

Dalton Lewis Fall 2018

Main Idea

Fields

Uniform Field: If the magnitude and direction of an electric field at each and every point in a region is the same, the field in that region is uniform. More specifically, if the electric field vector doesn't vary with position. Non-Uniform Field: If the magnitude and direction of an electric field is different at some point in the region, the field in that region is considered non-uniform.

Electric Field Models: When looking at the graphs below, the Uniform Field has parallel and equal magnitude arrows throughout the region whereas the Non-Uniform Field will have points that go other directions at some point.

Potential Difference

Potential difference is the change in electric potential between a final and initial location. The work done on the charge during this movement will alter its potential energy and because of this change in potential energy, there is a difference in electric potential between these locations.

When considering Potential Difference calculated in non-Uniform Fields, the regions should be split into smaller sections of Uniform Fields. For example, the path from the initial location to the final location passes through two regions of uniform, but different fields. In this case, you would split this into two separate calculations for each region and then combine to determine the total potential difference

Mathematical Model

[math]\displaystyle{ \Delta V }[/math] = [-([math]\displaystyle{ E1_{x} }[/math][math]\displaystyle{ \Delta x }[/math] + [math]\displaystyle{ E1_{y} }[/math][math]\displaystyle{ \Delta y }[/math] + [math]\displaystyle{ E1_{z} }[/math][math]\displaystyle{ \Delta z }[/math])] + [-([math]\displaystyle{ E2_{x} }[/math][math]\displaystyle{ \Delta x }[/math] + [math]\displaystyle{ E2_{y} }[/math][math]\displaystyle{ \Delta y }[/math] + [math]\displaystyle{ E2_{z} }[/math][math]\displaystyle{ \Delta z }[/math]] + ... = -[math]\displaystyle{ \Sigma \vec{E} }[/math][math]\displaystyle{ \Delta \vec{l} }[/math]

Computational Model

Examples

Connectedness

History

See also

Further reading

External links

https://www.youtube.com/watch?v=j2k6LDafXHI

https://www.youtube.com/watch?v=LG2t1_acgik

https://www.youtube.com/watch?v=qki3pTacXBE

https://www.youtube.com/watch?v=vj2zLThvf-c

References