Multivariable Calculus Practice Midterm 2 Solutions Prof. Fedorchuk 1. 2 (10 points) Let f (x, y, z) = xz + ey−x . a. (4 pts) Compute the gradient ∇f . b. (3 pts) Find the directional derivative D √ f (0, 0, 1). 0, 21 , 3 2 c. (3 pts) Find the unit vector pointing in the direction along which f (x, y, z) increases most rapidly at the point (0, 0, 1). Solution: 2 2 (a) We have ∇f = hz − 2xey−x , ey−x , xi and so ∇f (0, 0, 1) = h1, 1, 0i. (b) Therefore √ √ 1 3 1 3 D 1 √3 f (0, 0, 1) = ∇f (0, 0, 1) · 0, , = h1, 1, 0i · 0, , = 1/2. 0, 2 , 2 2 2 2 2 (c) The direction of the largest increase of f (x, y, z) at (0, 0, 1) is ∇f (0, 0, 1) = h1, 1, 0i and the unit vector in this direction is 1 1 √ , √ ,0 . 2 2 2. (10 points) a. (5 pts) Find an equation of the tangent plane at (1, 3) to the graph of f (x, y) = xy 2 − xy + 3x3 y. Solution: The equation of the tangent plane at (1, 3) is: z − f (1, 3) = fx (1, 3)(x − 1) + fy (1, 3)(y − 3). We now compute f (1, 3) = 9 − 3 + 9 = 15 fx (1, 3) = (y 2 − y + 9x2 y)|(1,3) = 9 − 3 + 27 = 33 fy (1, 3) = (2xy − x + 3x3 )|(1,3) = 6 − 1 + 3 = 8. Therefore, the equation of the tangent plane at (1, 3) is: z − 15 = 33(x − 1) + 9(y − 3). 1 b. (5 pts) surface Find an equation of the tangent plane at the point (0, 3, −1) to the g(x, y, z) = zex + ez+1 + xy + y = 3. Solution: We compute ∇g(x, y, z) = hzex + y, x + 1, ex + ez+1 i. The normal vector of the tangent plane at the point (0, 3, −1) is ∇g(0, 3, −1) = h2, 1, 2i, so the tangent plane is 2x + (y − 3) + 2(z + 1) = 0. 3. (10 points) √ √ The surface contains curves r1 (t) = (t, t2 , t3 ) and r2 (u) = (1, 2 sin(u), 2 cos(u)). Find the tangent plane to the surface at the point (1, 1, 1) and the line perpendicular to the tangent plane and passing through the origin (0, 0, 0). Solution: We are going to use the fact that the tangent plane to a surface at a point P contains the tangent lines at P of all curves contained in the surface and passing through P. Here we have two curves contained in the surface and passing through P = (1, 1, 1). The tangent line of the first curve at P (corresponding to t = 1) has direction vector ~v = r10 (1) = h1, 2, 3i and the tangent line of the second curve at P (corresponding to u = π/4) has direction vector w ~ = r20 (π/4) = h0, 1, −1i. Since the normal vector of the tangent plane to the surface at P is perpendicular to these two vectors, we can take the normal vector of the tangent plane to be ~v × w ~ = h−5, 1, 1i. Finally, the equation of the tangent plane at P = (1, 1, 1) is −5(x − 1) + (y − 1) + (z − 1) = 0. The line perpendicular to the tangent plane and passing through the origin (0, 0, 0) is x = −5t y=t z = t 2 4. (10 points) The function f (x, y) = x2 + y 2 + xy + 9x has 1 critical point. Find it, and identify it as a local minimum, local maximum, or a saddle point. Solution: To find critical points, we have to solve the system ( fx (x, y) = 2x + y + 9 = 0 fy (x, y) = 2y + x = 0 Solving, we obtain y = 3 and x = −6. Hence (x, y) = (−6, 3) is the only critical point. Next we use the 2nd derivative test: fxx (−6, 3) = 2 fyy (−6, 3) = 2 fxy (−6, 3) = 1. The determinant at (−6, 3) is D(−6, 3) = fxx (−6, 3)fyy (−6, 3) − (fxy (−6, 3))2 = 4 − 1 = 3 > 0. Since fxx (−6, 3) > 0, the 2nd derivative test says that (−6, 3) is a local minimum. 5. (10 points) Consider the function f (x, y) = x3 y − 3xy 2 . Find and classify all critical points of f . Solution: To find critical points, we have to solve the system ( fx (x, y) = 3x2 y − 3y 2 = 3y(x2 − y) = 0 fy (x, y) = x3 − 6xy = x(x2 − 6y) = 0 The only solution of this system is (x, y) = (0, 0), hence (0, 0) is the only critical point. Since fxx (0, 0) = fyy (0, 0) = fxy (0, 0), the 2nd derivative test is inconclusive. However note that along y = x2 , the function is f (x, x2 ) = x5 − 3x5 = −2x5 . Since −2x5 has neither maximum nor minimum at x = 0 (−2x5 is strictly decreasing because (−2x5 )0 = −10x4 ≤ 0). We conclude that (0, 0) is a saddle point of f (x, y), i.e. (0, 0) is neither local minimum nor local maximum. 6. (10 points) Find the maximum and minimum values of f (x, y) = x − 2y subject to 2 the constraint x4 + y 2 = 2. Solution: The method of Lagrange multipliers says that extrema of f (x, y) subject to the 2 constraint are found among the solutions of ∇f (x, y) = λ∇g(x, y), where g(x, y) = x4 +y 2 . We rewrite this condition in the following form: 1 = fx = λgx = λ(x/2) −2 = fy = λgy = λ(2y) 2 x + y2 = 2 4 3 or 1 = λx/2 −2 = 2λy 2 x + y2 = 2 4 This gives x = 2/λ and y = −1/λ. Plugging these into the constraint, we obtain: (2/λ)2 + (−1/λ)2 = 2/λ2 , 4 which gives λ = 1 or λ = −1. It follows that the two critical points of f (x, y) subject to the constraint are (2, −1) and (−2, 1). We have f (2, −1) = 4 and f (−2, 1) = −4. Therefore, f (2, −1) = 4 is the maximum value 2 of f (x, y) subject to the constraint x4 + y 2 = 2; and f (−2, 1) = −4 is the minimum value 2 of f (x, y) subject to the constraint x4 + y 2 = 2. 2= 7. (10 points) Evaluate each of the following iterated integrals. a. (5 pts) Z 1Z x ex+2y dydx 0 Solution: Z 1Z x e 0 x+2y Z 1 dydx = 0 0 Z 0 1 x+2y x e dx 2 0 1 1 3x (e − ex )dx 2 0 3x ex 1 e3 e e e3 e − − + 1/3. = = ( − ) − (1/6 − 1/2) = 6 2 6 2 6 2 0 = b. (5 pts) Z 0 Solution: The region 16 Z 4 √ sin(y 3 )dydx x √ R = {(x, y)|0 ≤ x ≤ 16, x ≤ y ≤ 4} is given to us in the form of an y-simple region. Since it is difficult to integrate sin(y 3 ), we form of an x-simple region. To do this, observe that √ are going to rewrite R in the x ≤ y ≤ 4 implies that x ≤ y 2 and that for any y in the interval [0, 4], x has to satisfy only 0 ≤ x ≤ y 2 . Hence R = {(x, y)|0 ≤ y ≤ 4, 0 ≤ x ≤ y 2 }. 4 Therefore Z 16 4 √ x 0 We now compute Z 4Z Z Z 3 Z y2 sin(y )dydx = 0 y2 Z 3 sin(y )dxdy = 0 4 0 sin(y 3 )dxdy. 0 4 y 2 sin(y 3 )dy 0 Z = 0 64 1 sin(u)du 3 1 1 = (− cos(64) − cos(0)) = (1 − cos(64)). 3 3 8. (10 points) Compute the volume of the solid in the first octant bounded by 2x + 2y + z = 4. Solution: We are integrating the function f (x, y) = 4 − 2x − 2y over the region R = {(x, y) : x ≥ 0, y ≥ 0, 2x + 2y ≤ 4} = {(x, y) : 0 ≤ x ≤ 2, 0 ≤ y ≤ 2 − x}. The volume is thus Z 2 Z 2−x Z 2 2−x (4 − 2x − 2y)dydx = (4y − 2xy − y 2 ) dx 0 0 0 0 Z 2 2 2 3 2 = (x − 4x + 4)dx = (x /3 − 2x + 4x) = 8/3. 0 0 5