Chain Rule for Vector Function

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SUMMARY

The discussion focuses on calculating the gradient of a scalar function f(x(t)) where x(t) is a vector in three-dimensional space. The correct expression for the gradient is given as ∇(f(x,y,z)) = (∂f/∂x, ∂f/∂y, ∂f/∂z). The initial attempt at a solution incorrectly combines partial derivatives, highlighting the importance of understanding the chain rule in vector calculus.

PREREQUISITES
  • Understanding of vector calculus
  • Familiarity with the gradient operator (∇)
  • Knowledge of partial derivatives
  • Basic concepts of multivariable functions
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  • Study the chain rule in vector calculus
  • Learn about the gradient operator and its applications
  • Explore examples of multivariable functions and their gradients
  • Review the relationship between scalar fields and vector fields
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Students studying physics or mathematics, particularly those focusing on vector calculus and its applications in physics problems.

zoso335
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Homework Statement



I'm trying to figure out how to take grad(f(x(t)) where x(t) is a vector. Since it's part of a physics problem, it's assumed x(t) is in 3-dimensional space.


The Attempt at a Solution



My guess is that grad(f(x(t)) = ((∂f/∂x)(∂x/∂x),(∂f/∂x)(∂x/∂y),(∂f/∂x)(∂x/∂z)) but I really am not sure about this. Can anyone point me in the right direction?
 
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hi zoso335! :smile:

∇(f(x,y,z)) = (∂/∂x(f(x,y,z)) , ∂/∂y(f(x,y,z)) , ∂/∂z(f(x,y,z)))

= (∂f/∂x , ∂f/∂y , ∂f/∂z)​
 

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