How to deduct the gradient in spherical coordinates?

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Discussion Overview

The discussion centers around the derivation and application of the gradient in spherical coordinates, exploring the relevant formulas and their derivation. It involves technical explanations and mathematical reasoning.

Discussion Character

  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant references a Wikipedia article to inquire about the correct formula for the gradient in spherical coordinates.
  • Another participant asserts that the formula provided in Wikipedia is correct, seeking clarification on the original question.
  • A specific formula for the gradient in spherical coordinates is presented, detailing the components in terms of the spherical coordinates (r, θ, φ).
  • A further explanation is provided on how to derive the gradient formula by comparing coefficients in terms of the normalized coordinate basis.
  • Participants discuss the derivation steps, including how to express variations in terms of the coordinate basis and the resulting expressions for each component of the gradient.
  • One participant expresses gratitude for the clarification received.

Areas of Agreement / Disagreement

Participants generally agree on the correctness of the gradient formula presented, but there is no explicit consensus on the necessity or details of the derivation process.

Contextual Notes

The discussion includes assumptions about the familiarity with vector calculus and spherical coordinates, which may not be explicitly stated. The derivation steps presented may depend on specific definitions and interpretations of the coordinate basis.

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The one given in Wikipedia is correct, or what is your question?
 
Should be this one:

[tex]\nabla f(r, \theta, \phi) = \frac{\partial f}{\partial r}\mathbf{e}_r+ \frac{1}{r}\frac{\partial f}{\partial \theta}\mathbf{e}_\theta+ \frac{1}{r \sin\theta}\frac{\partial f}{\partial \phi}\mathbf{e}_\phi[/tex]
 
That's correct. Maybe you want to know, how to derive it?

The point is to write
[tex]\mathrm{d} \phi=\mathrm{d} \vec{r} \cdot \vec{\nabla} \phi=\mathrm{d} r \partial_r \phi + \mathrm{d} \vartheta \partial_{\vartheta} \phi + \mathrm{d} \varphi \partial_{\varphi}\phi[/tex]
in terms of the normalized coordinate basis [itex](\vec{e}_r,\vec{e}_{\vartheta},\vec{e}_{\varphi})[/itex]. The term from the variation of [itex]r[/itex] is
[tex]\mathrm{d} r \frac{\partial \vec{r}}{\partial r} \cdot \vec{\nabla} \phi=\mathrm{d} r \vec{e}_r \cdot \vec{\nabla} \phi.[/tex]
Comparing the coefficients of [itex]\mathrm{d} r[/itex] gives
[tex]\vec{e}_r \cdot \vec{\nabla} \phi=\partial_r \phi.[/tex]
For the [itex]\vartheta[/itex] component
[tex]\mathrm{d} \vartheta \frac{\partial \vec{r}}{\partial \vartheta} \cdot \vec{\nabla} \phi = r \vec{e}_{\vartheta} \cdot \vec{\nabla} \phi, \;\Rightarrow \; \vec{e}_{\vartheta} \cdot \vec{\nabla} \phi=\frac{1}{r} \partial_{\vartheta} \phi,[/tex]
and for [itex]\mathrm{d} \varphi[/itex]
[tex]\mathrm{d} \varphi \frac{\partial \vec{r}}{\partial \varphi} \cdot \vec{\nabla} \phi = r \sin \vartheta \vec{e}_{\vartheta} \cdot \vec{\nabla} \phi, \; \Rightarrow \; \vec{e}_{\varphi} \cdot \vec{\nabla} \phi=\frac{1}{r \sin \varphi} \partial_{\vartheta} \phi,[/tex]
 
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Now clear, thanks.
 

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