Finding Nabla Operator for f(r) with r = |R|

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SUMMARY

The discussion centers on finding the Nabla operator for the function f(r) where r = |R| and R is a vector defined as R = (x, y, z). The user correctly identifies that the gradient of r is given by \nabla(r) = (2x, 2y, 2z) and clarifies that applying the Nabla operator again does not yield \nabla f(r). Instead, the correct approach involves using the chain rule: \nabla f(r) = (df/dr) \nabla r, where df/dr is the derivative of f with respect to r. This highlights the importance of understanding the relationship between scalar and vector functions in vector calculus.

PREREQUISITES
  • Understanding of vector calculus concepts, specifically the Nabla operator.
  • Familiarity with differentiable functions and their gradients.
  • Knowledge of the chain rule in calculus.
  • Basic understanding of scalar and vector functions.
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  • Study the application of the chain rule in vector calculus.
  • Learn about the properties and applications of the Nabla operator in different contexts.
  • Explore the relationship between scalar and vector fields in physics and engineering.
  • Investigate examples of gradient calculations for various scalar functions.
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This discussion is beneficial for students and professionals in mathematics, physics, and engineering, particularly those studying vector calculus and its applications in fields such as fluid dynamics and electromagnetism.

MCooltA
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Homework Statement


I need to find \nablaf(r). I am given r = |R| where R is a vector, R =(x,y,z). I also have the function f(r) which is a differentiable function of r.

Homework Equations



So i know \nabla(g) = (\partialg/\partialx, \partialg/\partialy, \partialg/\partialz)

The Attempt at a Solution



So I've got;

r=√(x^2 + y^2 + z^2)

\nabla(r) = (2x,2y,2z)

Do i need to apply \nabla operator again to the above \nabla(r)?

Does \nabla(\nabla(r)) equal \nablaf(r)?
 
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No, of course not. For one thing, \nabla \nabla r makes no sense. \nabla r is a vector function and "\nabla f has to be applied to a scalar function. Also, there is NO "f" in that. You would be saying that nabla f(r) is the same for all functions! You need the chain rule:
\nabla f(r)= \frac{df}{dr}\nabla r
df/dr will be a scalar function aand \nabla f a vector function so this is scalar multiplication.

Or, equivalently, replace r in the function with (x^2+ y^2+ z^2)^{1/2} and find the gradient.

What is f?
 
Thanks for your reply. So far I've got;

\nabla(r) = (1/r) (x,y,z).

And then for df/dr = \partialf_{x}/\partialx + \partialf_{y}/\partialy + \partialf_{z}/\partialz

Im unsure about what df/dr is.
 

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