MATH 251 Lecture 12

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Differential = Derivative = best linear approximation

Directional Derivative

Given a function f(x,y) and a vector v (assuming v is a unit vector?).

(Dvf)(x,y) is the derivative of f in the direction of v.

The path is (x+vxt,y+vyt)

Dvf(x,y)=ddtf(x+vxt,y+vyt)=fx(ddt(x+vxt))+fy(ddt(y+vyt))=df(vx,vy)=fx(vx)+fy(vy)=fv^

Example

Find the directional derivative of x2y+ysinx in the direction of v=1,1 at (π,2).

Answer 1

fx|(π,2)=2xy+ycosx|(π,2)=4π2fy|(π,2)=x2+sinx|(π,2)=π2(4π2)(1)+(π2)(1)=4π2+π2

Answer 2

Convention: Direction always means unit direction. Replace v with v^. This is the way that the book uses.

v^=vv=12(4π2)(12)+π22=4π2+π22

Gradient

A vector quantity

f(x,y)=fx,fy

Valid in euclidean rectangular coordinates.

Facts:

  1. It ponts in the direction of steepest ascent of f.
  2. Points orthogonally to the level curves of f.

Example

Find the gradient of f(x,y)=sin2xey

f(x,y)=2sinxcosxeyı^+sin2xeyȷ^at (3π2,1)=0,eRate of Change=f=02+e2=e