Gradient of an absolute value raise to a power

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SUMMARY

The gradient of the function |x-y| raised to the power of -3 is given by the equation ∇_{x}|x-y|^{-3} = -(x-y)|x-y|^{-3}. This conclusion is derived using a piecewise approach, which is essential for handling the absolute value in vector calculus. The discussion emphasizes the importance of understanding vector operations and the application of gradients in multivariable calculus.

PREREQUISITES
  • Vector calculus fundamentals
  • Understanding of gradients and their properties
  • Knowledge of absolute value functions in multivariable contexts
  • Familiarity with piecewise functions
NEXT STEPS
  • Study the properties of gradients in vector calculus
  • Learn about piecewise function differentiation techniques
  • Explore applications of absolute value functions in optimization problems
  • Investigate the implications of raising functions to negative powers
USEFUL FOR

Students in advanced mathematics, particularly those studying vector calculus, as well as educators and tutors looking to clarify concepts related to gradients and absolute value functions.

Estane
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Homework Statement



Show that ∇_{x}|x-y|-3= -(x-y)|x-y|-3

x and y are vectors.

Homework Equations


The Attempt at a Solution



When dealing with just a straight up absolute value I know that a solution can be found by using a piece wise approach, but I don't think that's what I should be using here. The power is throwing me completely and I have no idea how to deal with it.

Thanks
 
Last edited:
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Estane said:

Homework Statement



Show that ∇_{x}|x-y|-3= -(x-y)|x-y|-3

x and y are vectors.

Homework Equations



The Attempt at a Solution



When dealing with just a straight up absolute value I know that a solution can be found by using a piece wise approach, but I don't think that's what I should be using here. The power is throwing me completely and I have no idea how to deal with it.

Thanks
Yes, the piecewise approach is what you should be using here.

Show us your attempt so we can help you.
 

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