Maximizing Growth Direction from a Point on a Surface

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Homework Help Overview

The discussion revolves around the function f(x,y,z) = (x^2)y - x(e^z) and its behavior at the point Po = (2, -1, π). Participants are exploring the concept of maximizing the growth direction from a point on a surface, specifically focusing on the gradient and directional derivatives.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the relationship between the gradient, directional derivatives, and angles related to growth direction. There are attempts to clarify the angle at which growth is maximized and how it relates to the unit vector and tangent vector. Questions arise about the correct interpretation of these vectors in the context of the function.

Discussion Status

Participants are actively engaging with the concepts, with some providing guidance on the relationship between the directional derivative and the gradient. There is a recognition of the need to clarify the definitions and roles of various vectors involved in the problem, though no consensus has been reached on the final interpretation.

Contextual Notes

There is some confusion regarding the dimensionality of the function and the appropriate vectors to consider, particularly in distinguishing between tangent vectors and gradients in three-dimensional space. Participants are also navigating the implications of their assumptions about angles and growth direction.

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I have f(x,y,z)=(x^2)y-x(e^z) and point Po=(2,-1,pi)
I need to find
a) gradient at point Po ( done)
b) Rate of change of f at point Po in the direction of vector u=i-2j+k (it's also done)
c) Unit vector in the direction of fastest growth of f at Po.

I can't find formulas for a last on. Does it come from a) and b)?
I know that angle should be zero but I am not sure what angle it is.
 
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At what angle is the growth greatest? Its got to do with the directional derivative and the gradient.
 
The growth is greatest when angle equals zero.
 
When WHAT angle equals zero?

(You are almost there!)
 
I think it's the angle between unit vector and tangent vector to f at Po.
If I'm correct, I'm not sure how should I put it on a paper.
 
Youre right. When you take a directional derivative what kind of product do you use (for the two vectors). One of these two is at a maximum when the angle is zero, that's the one you want to use.

If you're still stuck, show the defining expression for a directional derivative.
 
Last edited:
Not "tangent vector" because you are not talking about a curve.

The gradient is the "derivative" of a function of 2 or more variables. The derivative of f(x,y) in the direction of angle [itex]\theta[/itex] if given by
[tex]D_\theta f(x,y)= (cos \theta i+ sin \theta j)\dot(\frac{\partial f}{\partial x}i+ \frac{\partial f}{\partial y})[/tex]
That will have a maximum (with respect to [itex]\theta[/itex]) where it's derivative with respect to [itex]\theta[/itex] equals 0:
[tex]-cos\theta \frac{\partial f}{\partial x}+ sin\theta\frac{\partial f}{\partial y}= 0[/tex]
That means that
[tex]tan\theta= \frac{sin\theta}{cos\theta}= \frac{\frac{\partial f}{\partial x}}{\frac{\partial f}{\partial y}}[/tex]

Think about what that means in terms of the components of the gradient of f.
 
It is tangent to the surface at that point and I think that is what he is meaning, but when youre dotting [itex]D_{\theta}f(x,y)[/itex] why did we get a negative cosine?

You also forgot your j unit vector in the first expression.
 
Yes, my mistake I thought of tangent vector to a surface.
Why should I dot f(x,y) if I have f(x,y,z)?
Still confused.
 

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