Directional Derivatives, Gradient Vectors
        and

        Tangent Planes





 

Some important formulas:

Gradient Vector or Gradient of f(x,y)

obtained by evaluating the partial derivatives of f at P.

The directional derivative of f(x,y) at P in the direction of unit vector u is

 

 
 









The function f increases most rapidly at P in the direction of the gradient of f at P and decreases most rapidly at P

in the direction of negative of the gradient of f at P.

For more details on these concepts go to the website:
 
 

http://www.usd.edu/~jflores/MultiCalc02/WebBook/Chapter_15/Graphics15/Chapter15_6/Html15_6/15.6%20directional%20Derivatives%20and%20the%20Gradient%20Vector.htm
 
 
 
 

Tangent Plane and Normal Line:

The normal line of the surface at P is the line through P and parallel to the gradient of f at P.

So the equation of the tangent plane is

The equation of the normal at P is






For more details on these concepts go to the website:
 
 
 
 

http://www.usd.edu/~jflores/MultiCalc02/WebBook/Chapter_15/Graphics15/Chapter15_6/Html15_6/15.6%20directional%20Derivatives%20and%20the%20Gradient%20Vector.htm
 
 

Finding the equations of a line tangent at P to the curve of intersection of surfaces f and g.

The tangent line is perpendicular the vectors u = gradient of f and v = gradient of g at P. So it is parallel to the vector given by the cross product of u and v.