15. Consider the function f(x, y) = x2 + 4xy - y2 and the point P(2,1)....
Problem 7. [13 points; 4, 4, 5.] Consider the function f(r, y) 2y ln(r- ). (i) Find the unit direction of steepest increase for f at the point P (2, 1) (ii) Find the directional derivative of f at the point P(2,1) in the direction u = S (iii) Linearly approximate the value f((2,1)00) Problem 7. [13 points; 4, 4, 5.] Consider the function f(r, y) 2y ln(r- ). (i) Find the unit direction of steepest increase for f at...
Suppose f(x, y) = x2 + y2. Find the directional derivative of the function f at the point P(1, -1) in the direction of 7 = -31 + 4. That is, find Dif(1,-1). 5 14 O 14 5 O 14 5 O 5 14
1. (based on exercise 6.5 on page 301) For each of the following functions, find their first and second derivatives, and use these to find the function's critical points. Characterize each critical point as a local minimum, maximum, saddle point, or something else. (a) f(x, y-x2-4ry + y2 (b) f(x,y)=x4-4xy+94. (c) f(x, y) 2x3-3z2-62y(x-y-1). (d) f(x, y) = y4-v2 + 2y(1-x) + 1. (e) For the function in item 1d, what is the steepest descent direction at (x, y) (0,0)?...
The equation of a surface is f(x, y) = 4xy + x2 - y2 +9. Which is an equation of the plane that is tangent to the surface at the point(4,2,49)? 34x –19y –20 b) z =-18x-12y +20 c) z = 5x-3y +27 d)z=16x+4y-23 e) z =-12x-18y+20
Find the linearization L(x.y) of the function f(x,y)=x2 - 4xy+1 at P.(3,3). Then find an upper bound for the magnitude |El of the error in the approximation f(x,y)=L(x,y) over the rectangle R: 1x - 3|50.3, y-3|50.3. The linearization offis L(x,y)= The upper bound for the error of approximation is E(x,y) (Round to the nearest hundredth as needed.)
Find the linearization L(x,y) of the function at each point. f(x.y) = x2 + y2 + 1 a. (3,3) b. (1,3) a. L(x,y)=
(1 point) Consider the function f(x, y) = e-8x=x2-4y—y2 Find and classify all critical points of the function. If there are more blanks than critical points, leave the remaining entries blank. fx = fxx = fxy =
Section 15.1 Worksheet Find the gradient field F = νφ for the potential function φ. Sketch a few level curves of φ and a few vectors of F. φ(x, y)-yx2+ y2 for x2 + y2 2. 9, (x, y) # (0,0) Section 15.1 Worksheet Find the gradient field F = νφ for the potential function φ. Sketch a few level curves of φ and a few vectors of F. φ(x, y)-yx2+ y2 for x2 + y2 2. 9, (x, y)...
3 U + tyy = 0. 3. Find the directional derivative of f(x,y) 2In y at the point P(2,1) in the direction ū= 21+ 4. Find the linearization of f(x,y) = x2 + y2 at the point P(3, 4) and use it to
(1 point) Consider the function defined by F(x, y) = x2 + y2 except at (r, y) - (0, 0) where F(0,0)0 Then we have (0,0) = (0,0) = ax dy Note that the answers are different. The existence and continuity of all second partials in a region around a point guarantees the equality of the two mixed second derivatives at the point. In the above case, continuity fails at (0,0) Note: You can earn partial credit on this problem...