Maximizing Function Increase: Understanding Directional Derivatives

[Master J]

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?

 

[CompuChip]

Well, since you mentioned the word "directional derivative" anyway: you could check for which \vec v
(\vec\nabla f(x, y)) \cdot \vec v < 0
?

 

[HallsofIvy]

Yes, it is true that \vector{\nabla f}\cdot \vector v is the directional derivative in the directional derivative in the direction of \vec{v} (for \vec{v} of length 1). And that tells you the derivative is 0 perpendicular to the gradient.

(CompuChip, surely you didn't mean "<"?)

 

[CompuChip]

Err, no comment? :)

 

[Master J]

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?