Maximizing Function Increase: Understanding Directional Derivatives

In summary, the conversation discusses the concept of directional derivatives and how the gradient can be used to determine the direction of zero increase. It is suggested to use the dot product between the gradient and a vector of length 1 to find the directional derivative in a specific direction. It is also noted that the vector perpendicular to the gradient represents the direction of zero increase. However, the process of finding this vector is not explicitly mentioned.
  • #1
Master J
226
0
I have a function of 2 variables. I know it increase most rapidly in the direction of the gradient, but how about in wht direction is it not increasing?

I am thinking that the gradient (dot product)(direction in which it is not increasing) = 0

Any hints?
 
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  • #2
Well, since you mentioned the word "directional derivative" anyway: you could check for which [itex]\vec v[/itex]
[tex](\vec\nabla f(x, y)) \cdot \vec v < 0[/tex]
?
 
  • #3
Yes, it is true that [itex]\vector{\nabla f}\cdot \vector v[/itex] is the directional derivative in the directional derivative in the direction of [itex]\vec{v}[/itex] (for [itex]\vec{v}[/itex] of length 1). And that tells you the derivative is 0 perpendicular to the gradient.

(CompuChip, surely you didn't mean "<"?)
 
  • #4
Err, no comment? :)
 
  • #5
That is what is was thinking, since of course cos(pi/2) = 0. So the vector that is at a right angle to the gradient is in the direction of zero increase. But how do I go about finding this vector?
 

1. What is a directional derivative?

A directional derivative is a measure of how a function changes in a particular direction at a specific point. It represents the rate of change of a function with respect to a given direction.

2. How is a directional derivative calculated?

The directional derivative is calculated by taking the dot product of the gradient vector and a unit vector in the direction of interest. This can also be represented as the partial derivatives of the function in the specified direction.

3. What is the significance of directional derivatives?

Directional derivatives are important in understanding the behavior of a function in a specific direction. They can be used to determine the slope of a tangent line or the rate of change of a function in a particular direction.

4. Is the directional derivative always defined?

No, the directional derivative is only defined when the function is differentiable at the specified point. If the function is not differentiable at that point, the directional derivative does not exist.

5. How are directional derivatives used in real-world applications?

Directional derivatives have many applications in real-world scenarios, such as in physics, engineering, and economics. For example, they can be used to determine the direction of maximum change in temperature in a given region, or the direction of maximum profit in a business model.

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