What Determines the Maximal Rate of Change for a Function at a Point?

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Homework Help Overview

The discussion revolves around determining the maximal rate of change of a function f(x,y) at a specific point (x0,y0) and identifying the direction in which this change occurs. Participants are exploring the concepts of gradients and unit vectors in the context of multivariable calculus.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the relationship between the gradient of the function and the maximal rate of change, questioning the correctness of their interpretations and calculations regarding the gradient and its direction.

Discussion Status

The conversation includes confirmations of the participants' understanding of the gradient and its implications for the maximal rate of change. There is a focus on validating the direction of the gradient and the calculation of the unit vector.

Contextual Notes

Some participants express a desire for simple confirmations rather than detailed explanations, indicating a preference for concise validation of their reasoning.

Saladsamurai
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I am given some function f(x,y) and I am asked to find what the maximal rate of change is at some point (x0y0) and the direction in which it occurs.

Is this correct: Maximal rate of change=[itex]|\nabla{f}(x_0,y_0)|[/itex]

And for the direction, if [itex]\nabla{f}(x_0,y_0)=<a\, ,b\,>[/itex] then the direction is:

[tex]\frac{<a\, ,b\,>}{|\nabla{f}(x_0,y_0)|}[/tex]

Thanks!
 
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Just a yes or no will do me.
 
Here it comes!
 
You know |grad(f)| is correct answer, right? Rate is grad(f).u. Maximal rate is in the grad(f) direction, so u=grad(f)/|grad(f)|. Hence?
 
So my direction question is correct too. I just evaluate grad(f) and get some vector and then find the unit vector in that direction. Yes?
 
Yep.
 

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