MHB Directional derivative

[shorty1]

Let f(x,y) = (x-y)/(x+y). find the directions u and the values of $D_{u}f $ (-1/2 , 3/2) for which $D_{u}f $ (-1/2 , 3/2) is largest, and is smallest.

How do i go about that? I did it for when $D_{u}f $ (-1/2 , 3/2) = 1 and got $D_{u}f $ (-1/2 , 3/2) = 1 and got u=j and -i. This was after i equated partials for x and y at the point (-1/2, 3/2) and then substituted that into the formula for directional derivative, letting u = $u_{1}i + u_{2}j$i assume i can do the same to calculate when $D_{u}f $ (-1/2 , 3/2) = 0 and -2, can i? but i am not sure how to work it for when it is largest and smallest.

Any help will be appreciated.

 

[HallsofIvy]

For a function of two variables, f(x,y), its gradient is \nabla f= f_x\vec{i}+ f_y\vec{j}. It is also true that a unit vector in a direction that makes angle \theta with the x-axis is cos(\theta)\vec{i}+ sin(\theta)\vec{j}. The directional derivative of f, in the direction of the unit vector \vec{u} is D_{\vec{u}}f= \nabla f\cdot\vec{u}= f_xcos(\theta)+ f_ysin(\theta).

Now, find the direction in which that is maximum or minimum by taking the derivative with respect to $\theta$ and setting it equal to 0:
-f_xsin(\theta)+ f_ycos(\theta)= 0.
That is the same as \frac{f_y}{f_x}= \frac{sin(\theta)}{cos(\theta)}= tan(\theta). That is, the max and min lie in the direction \theta such that tan(\theta)= \frac{f_y}{f_x}. But, looking at the right triangle having legs f_x and f_y and so hypotenuse \sqrt{f_x^2+ f_y^2}. That is, the direction in which the derivative is largest is precisely the direction in which the gradient is pointing. And the direction in which the derivative is least is just the opposite direction. (Of course, D_u f= \nabla f\cdot \vec{u}= 0 just says the vector \vec{v} is perpendicular to the gradient.