12.6-13.1 Flashcards
how to find the directional derivative at (a,b) in the direction of (c,d)
gradient evaluated at (a,b) dotted into the unit vector from (a,b) to (c,d)
what must be true of the vector you are taking the directional derivative in the direction of?
It must be a unit vector
when does the funciton have the maximum rate of increase on its directional derivative
when the unit vector u is in the direction of the gradient vector. its max increase value is the magnitude of the gradient
when does the function have the maximum rate of decrease on its directional derivative
when the unit vector u is in the NEGATIVE direction of the gradient vector. its max increase value is the NEGATIVE magnitude of the gradient
how to verify that the gradient vector at a point is orthogonal to the level curve at that point.
- find gradient at point,
- use slope to find a vector proportional to the curve at that point
- the cross product must be 0
how to find the equation of a line tangent to level curve at a point.
fx(x-`a)+fy(y-b)
2 ways a surface can be defined
explicitly z=f(x,y) implicitly f(z,y,z) = 0
how to find the equation of a tangent plane at a given point implicitly
- define it implicitly
2. fx(pt)(x-a)+fy(pt)(y-b)+fz(pt)(y-c)
find all the points on a plane that are horizontal(or fit the bill)
- gradient of the equation
2. set the gradient equal to the qualification vector, In this case <0,0,c>
how to find the equation of a tangent plane at a point when it is defined explicitly
z=fx(pt)(x-a)+fy(pt)(y-b)+f(a,b)
find the linear approximation at a
Lx=fx(pt)(x-a)+fy(pt)(y-b)+f(a,b)
differential
dz = fx(pt)dx+fy(pt)dy
what can the differential do?
approximate the change of things
make sure to study
how to find critical points on an equation
gradient set equal to 0
equation for second derivative test
D(pt) = fxx(pt)fyy(pt) - fxy^2