Gradient vector for polar coordinates

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Homework Help Overview

The discussion revolves around finding the gradient vector of the function g(r, θ) = e^(-r) sin(θ) in polar coordinates. Participants are exploring the transition from polar to Cartesian coordinates to facilitate the calculation of the gradient.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the challenges of calculating gradients in non-Cartesian systems and the potential use of the chain rule. There are inquiries about the appropriate coordinate system and the conversion process between polar and Cartesian coordinates.

Discussion Status

The conversation is active, with participants sharing different perspectives on how to approach the problem. Some have suggested converting the function into Cartesian coordinates as a possible solution, while others are questioning the assumptions and methods being used. There is a recognition of the complexity involved in the calculations.

Contextual Notes

Participants are navigating the intricacies of coordinate transformations and the definitions of gradient in different systems. There is a mention of the need to consider directional derivatives in Cartesian coordinates, which adds to the complexity of the discussion.

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Homework Statement


Find the gradient vector of:
g(r, \theta) = e^{-r} sin \theta


Homework Equations





The Attempt at a Solution


I know how to get gradients for Cartesian - partially derive the equation of the surface wrt each variable. But I have no idea how to do it for non-Cartesian coordinate systems.

I tried using the chain rule to get \frac{{\partial g}{\partial x}} and \frac{{\partial g}{\partial y}} so I could plug them into \nabla g. But then I'm ending up with tans and sines and cosines all over the place.
 
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What coordinate system do you have in mind? Different coordinate systems are set up differently with different basis vectors, for cylindrical/spherical coordinates refer to http://en.wikipedia.org/wiki/Del_in_cylindrical_and_spherical_coordinates

For clearer understanding I think it's best to work through the basis vectors, and then use the definition of gradient to work out the required expressions, which you can then finally (whew!) apply to the eqn you want.
 
I want to convert del g into cartesians so I can find a directional derivative, considering the direction vector is in cartesians. I know how to calculate the directional derivative; I just don't know how to convert del g into cartesians from polars.
 
Why don't you just convert g into cartesians and take the grad there? It is a bit of a pain in the neck, but...
 
Dick said:
Why don't you just convert g into cartesians and take the grad there? It is a bit of a pain in the neck, but...

because I don't know how, but I'll give it a shot.


r = x/cos (theta) = y/sin(theta)
theta = arccos (r/x) = arcsin (r/y)

partial g/partial x = (partial g/partial r)(partial r/partial x) + (partial g/partial theta)(partial theta/partial x)

= (-e^(-r))(1/cos(theta)) + (e^(-r) cos(theta))(-r ln x/sqrt(1-(r/x)^2))


partial g/partial y = (-e^(-r))(1/sin(theta)) + (e^(-r) cos(theta))(r ln y/sqrt(1-(r/y)^2))
 
I think you're making it even more complicated for yourself.

What's r? sqrt of r^2, yes? Now what's r^2? And then what's sin (theta)?

Draw it out if you don't see what I mean!
 
ahh. of course.

r^2 = x^2 + y^2, and sin theta = y/r, where r is the square root of r^2. I indeed was making it too complicated for myself. thanks everyone.
 

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