Dot Product Involving Path of a Curve

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SUMMARY

The discussion centers on proving that the gradient field \( \nabla f \) is orthogonal to the path \( \gamma(t) \) for a level curve of the function \( f: \mathbb{R}^2 \to \mathbb{R} \). It establishes that \( \nabla f(\gamma(t)) \) and \( \gamma'(t) \) are equal to the same vector field \( F(\gamma(t)) \). The key conclusion is that the dot product \( F(\gamma(t)) \cdot F(\gamma(t)) \) equals \( ||F(\gamma(t))||^2 \), which is non-zero, indicating a misunderstanding in the assumption about the orthogonality condition. The solution involves applying the chain rule to show that \( f(\lambda(t)) \) remains constant along the curve.

PREREQUISITES
  • Understanding of gradient fields in multivariable calculus
  • Familiarity with level curves and their properties
  • Knowledge of the chain rule in calculus
  • Proficiency in vector calculus, specifically dot products
NEXT STEPS
  • Study the properties of gradient fields and their geometric interpretations
  • Learn how to apply the chain rule in multivariable contexts
  • Explore the concept of level curves in detail, including their implications in optimization
  • Investigate vector calculus techniques for proving orthogonality in curves
USEFUL FOR

Students and educators in calculus, particularly those focusing on multivariable calculus, vector calculus, and optimization techniques. This discussion is beneficial for anyone looking to deepen their understanding of gradient fields and their applications in analyzing curves.

Karnage1993
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Homework Statement


Let ##\gamma(t)## be a path describing a level curve of ##f : \mathbb{R}^2 \to \mathbb{R}##. Show, for all ##t##, that ##( \nabla f ) (\gamma(t))## is orthogonal to ##\gamma ' (t)##

Homework Equations


##\gamma(t) = ((x(t), y(t))##
##\gamma ' (t) = F(\gamma(t))##
##F = \nabla f = \left( \frac{\partial f}{\partial x_1}, \frac{\partial f}{\partial x_2}\right)## [this is called a gradient field]

None of these were given for the question at hand but I think they might be useful.

The Attempt at a Solution


If ##x(t)## and ##y(t)## are the parameters for ##\gamma(t)##, then ##( \nabla f ) (\gamma(t)) = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}\right)##

But both ##\nabla f (\gamma(t))## and ##\gamma ' (t)## are equal to ##F(\gamma(t))##, so the dot product is

##F(\gamma(t)) \cdot F(\gamma(t)) = ||F(\gamma(t))||^2##

At this point, I'm stuck. I don't think ##||F(\gamma(t))||^2## would be 0 for any ##t## let alone for any function ##f : \mathbb{R}^2 \to \mathbb{R}##. Did I make a bad assumption/simplification somewhere?
 
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Note that [itex]f(\lambda(t))[/itex] is a constant for all t and use the chain rule.
 
EDIT: I see now, thank you for the help!
 
Last edited:

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