Directional Derivatives and max rate of change

Click For Summary
SUMMARY

The discussion focuses on calculating directional derivatives and the maximum rate of change for the function g(x, y, z) = x²yz at the point (1, 2, -1). The gradient ∇g(x, y, z) is determined to be (2xyz, x²z, x²y), and the maximum rate of change is achieved when the unit vector aligns with the gradient. The user encounters challenges in part (b) of the homework, specifically in solving the equations derived from the directional derivative in the direction of the vector (1, -1, -1). The equations lead to a single equation with three variables, complicating the solution process.

PREREQUISITES
  • Understanding of gradient vectors and their significance in multivariable calculus.
  • Familiarity with directional derivatives and their computation.
  • Knowledge of unit vectors and normalization processes.
  • Ability to solve systems of equations involving multiple variables.
NEXT STEPS
  • Study the computation of directional derivatives in multivariable calculus.
  • Learn about the properties and applications of gradient vectors.
  • Explore techniques for solving systems of equations with multiple variables.
  • Investigate the implications of the maximum rate of change in various contexts.
USEFUL FOR

Students studying multivariable calculus, particularly those focusing on directional derivatives and gradients, as well as educators preparing practice exams in this subject area.

Blkmage
Messages
11
Reaction score
0

Homework Statement



See attachment.

2. Homework Equations /solution attempt

Part (a)
Well, the gradient evaluated at (1,2-1) will give the rate of change. If we want the maximum rate of change then we need the directional direction such that the unit vector \mathbf{u} is in the same direction as \nabla f(1,2,-1). So the unit vector would just be \frac{\nabla f(1,2,-1)}{\text{norm}(\nabla f(1,2,-1))}? And the max rate of change is just the direction derivative at this point and direction?

Anyways, part (b) is what I'm having trouble with:

Since we want it to be in the direction of the vector (1,-1,-1), does that mean that we want \nabla g(x_{Q},y_{Q},z_{Q}) = (1,-1,-1)? Since (1,-1,-1) isn't a unit vector, I didn't divide by the norm of the gradient...
 

Attachments

  • Screen shot 2011-04-26 at 7.52.34 PM.png
    Screen shot 2011-04-26 at 7.52.34 PM.png
    14.6 KB · Views: 544
Physics news on Phys.org
the gradient gives the direction of maximum rate of change, its magnitude is the rate of change moving along that direction

the magnitude of the gradient is equivalent to a dot product with a unit vector in the same direction, ie the value of the directional derivative in that direction
 
So for part (b), we have

\text{norm}(\nabla g(x_{Q},y_{Q},z_{Q})) = \nabla g(x_{Q},y_{Q},z_{Q}) \cdot \frac{1}{\sqrt{3}}\left(1,-1,-1\right)

This seems so tedious to solve though. It's on a practice exam my teacher gave us and his tests are very reasonable given the time limits, so I'm guessing there is something I'm missing?

edit: not to mention that would give me a single equation of 3 variables, which I wouldn't be able to solve
 
g(x,y,z) = x^2yz
\nabla g(x,y,z) = (2xyz, x^2z, x^2y)

and you want to know when is in the direction (1,-1,-1), first clearly this will not be possible if any of the varibales are 0 as it will lead tio .

substituting in gives
2xyz = -x^2z _______(1)
2xyz = -x^2y _______(2)
x^2z = x^2y _______(3)

so you know y=z from (3), as x dne 0, which should simplify things
 

Similar threads

Replies
2
Views
1K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 5 ·
Replies
5
Views
4K
Replies
9
Views
2K
Replies
1
Views
1K
  • · Replies 8 ·
Replies
8
Views
4K
  • · Replies 8 ·
Replies
8
Views
5K
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K