Efficiently Calculate Math Div Expressions with Partial Derivatives and Vectors

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Homework Help Overview

The discussion revolves around the calculation of divergence expressions involving partial derivatives and vector fields, specifically focusing on the expression \(\nabla \cdot \vec{r}f(r)\) where \(\vec{r} = (x, y, z)\) and \(f\) is a function of \(r\). Participants are exploring the validity of different formulations and interpretations of the expression.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants are questioning the correctness of the original expression and discussing alternative formulations. There are inquiries about whether \(f\) is a scalar or vector field, and the implications of this on the divergence operation. Some participants suggest using product rules for differentiation involving scalar and vector fields.

Discussion Status

The discussion is ongoing, with various interpretations being explored. Some participants express confidence in their interpretations while others seek clarification on the nature of \(f\) and the correct application of divergence. There is no explicit consensus yet, but productive lines of reasoning are being developed.

Contextual Notes

Participants are working under the assumption that \(f\) is a scalar field and are considering the implications of this on the divergence operation. There is also mention of a product rule relevant to the context.

cscott
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Is the following true?

[tex] \newcommand{\pd}[3]{ \frac{ \partial^{#3}{#1} }{ \partial {#2}^{#3} } }<br /> <br /> \nabla \cdot \vec{r}f(r) = \left ( \pd{f}{r}{} \pd{r}{x}{} \cdot x + f \right) + \left ( \pd{f}{r}{} \pd{r}{y}{} \cdot y + f \right) + \left( \pd{f}{r}{} \pd{r}{z}{} \cdot z + f \right)[/tex]

where

[tex]\vec{r} = (x, y, z)[/tex]
 
Last edited:
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no, it would just be the partial of r times f in each case
 
Like this?

[tex] \newcommand{\pd}[3]{ \frac{ \partial^{#3}{#1} }{ \partial {#2}^{#3} } }<br /> <br /> \nabla \cdot \vec{r}f(r) = \pd{(rf)}{x}{} + f\pd{(rf)}{y}{} + f\pd{(rf}{z}{}[/tex]

or just 3f?
 
Last edited:
My initial expression seems right to me now...
 
Is f a scalar field or a vector field?
Is it del.(r*f) or (del.r)(f)
 
I wrote it out just how they gave it to me but I assumed del.(rf) based on the question they ask after it.

f is scalar field, f(r), r = ||r||
 
There's a type of product rule for a scalar field times a vector field.

del.(sF) = (del.F)*s + grad(s).F
where . is the vector dot product.
 

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