Cartesian to curvilinear coordinate transformations

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SUMMARY

The discussion focuses on the transformation between Cartesian and curvilinear coordinates, specifically in the context of vector fields. The vector field example provided is ## \vec F = \frac {\vec x} {r^3} ##, where r represents the magnitude of ## \vec x ##. Participants emphasize the importance of using vector notation to simplify calculations and enhance intuition, suggesting that rewriting component formulas in terms of dot products or vector magnitudes can streamline the process. This approach allows for greater flexibility in selecting coordinate systems that facilitate problem-solving.

PREREQUISITES
  • Understanding of vector fields and their representations
  • Familiarity with Cartesian and curvilinear coordinate systems
  • Knowledge of dot products and vector magnitudes
  • Basic concepts of electromagnetism, particularly flux calculations
NEXT STEPS
  • Study vector notation and its applications in physics
  • Learn about the advantages of using dot products in vector calculations
  • Explore coordinate transformations in electromagnetism
  • Investigate integration techniques over surfaces in different coordinate systems
USEFUL FOR

Students and professionals in physics, particularly those studying electromagnetism, as well as anyone interested in improving their understanding of vector fields and coordinate transformations.

Stendhal
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Homework Statement


Is there a more intuitive way of thinking or calculating the transformation between coordinates of a field or any given vector?

The E&M book I'm using right now likes to use the vector field

## \vec F\ = \frac {\vec x} {r^3} ##

where r is the magnitude of ## \vec x ##In Cartesian coordinates, this looks like

## \frac {x \hat x + y \hat y + z \hat z} {\sqrt {x^2 + y^2 +z^2}^3} ##

In problems such as finding the flux through a sphere, it's difficult to use cartesian coordinates as it's very algrebra intensive, but I find it hard to convert between different coordinate systems. It also seems really unnecessary to simply look up the values of x,y,z and their respective ## \hat x ## directions for the components. Is there a better way to go about thinking and converting fields?
 
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One of the advantages of using vector notation is that it should be independent of your coordinate system so to answer your question about "a more intuitive way..." I would say; Yes, use the vector notation as much as possible. Where you can, rewrite component formulas in terms of dot products or vector magnitudes. For example if you need the ##x##-component of a vector ##\vec{v}## write that as ##v_x=\hat{\imath} \bullet \vec{v}##. Granted you'll eventually need to resolve coordinates for such things as integrating over a surface but if you do most of your conceptual work in the general notation first, you often can select the coordinate system that makes this easiest.
 

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