Math 234 Worksheet 3: Line integrals I 1. Let C be the helix with theRparametrization ~x(t) = (cos t, sin t, t) and 0 ≤ t ≤ 2π. Compute the line integral C xyzds. (Hint: use the double angle formula for sine and integration by parts.) 2. Let F~ (x, y) = (ex , xy) be a vector field. Let C be the curve enclosing the region bounded by y = x and y = x2 with the counter clockwise orientation. (i) We may decompose the curve C by C = C1 − C2 (i.e. C = C1 + (−C2 )), where both C1 and C2 are curves from (0, 0) to (1, 1). Find parametrizations of C1 and C2 . R R (ii) Compute C1 F~ · d~x and C2 F~ · d~x by using the parametrizations. H (iii) Compute F~ · d~x. C (iv) Is F~ a conservative vector field? 3. Continued from Question 2. (i) Repeat the above questions (ii) and (iii) with the vector field F~ (x, y) = (cos x + 2xy, x2 ). (ii) Verify that F~ is a conservative vector field, and then find a function f such ~ . that F~ = ∇f R (iii) Compute again C1 F~ · d~x by using the fundamental theorem of calculus for line integrals. Review 1 (Line integrals) Let C be a curve with a parametrization ~x(t), a ≤ t ≤ b. The line integral of a function f over the curve C is given by Z b Z f (~x(t))k~x 0 (t)kdt. f ds = a C The line integral of a vector field F~ over the curve C is given by Z b Z ~ F~ (~x(t)) · ~x 0 (t)dt. F · d~x = a C Review 2 (Fundamental theorem of calculus) Let C be a curve with the initial point A = ~x(a) and the terminal point B = ~x(b). Then, Z ~ · d~x = f (B) − f (A). ∇f C This shows that the line integral of a gradient vector field is independent of the path taken (this is not necessarily the case for a non-gradient vector field). Review 3 (Conservative vector field) A vector field F~ is called conservative if I F~ · d~x = 0 C for any closed curve C. It was shown that F~ is conservative if and only if F~ is a ~ for some function f . gradient vector field, i.e. F~ = ∇f Answers √ Z 1. 2 √ 2π t cos t sin tdt = − 0 2. 2 π. 2 (i) C1 is the path from (0, 0) to (1, 1) along the curve y = x2 . We may parametrize C1 by ~x(t) = (t, t2 ) for 0 ≤ t ≤ 1. C2 is the path from (0, 0) to (1, 1) along the curve y = x. We may parametrize C2 by ~x(t) = (t, t) for 0 ≤ t ≤ 1. (ii) Z 1 t Z 3 1 e ~ dt = e − . F · d~x = 2 · 2t t·t 5 0 C Z 1 t Z 1 2 e 1 · dt = e − . F~ · d~x = t·t 1 3 0 C2 I Z Z 3 2 1 ~ ~ F · d~x = F · d~x − F~ · d~x = (e − ) − (e − ) = . (iii) 5 3 15 C C1 C2 H (iv) No, since F~ · d~x 6= 0. We could also argue by showing that Py 6= Qx . C 3. (i) 1 cos t + 2t · t2 1 · dt = sin 1 + 1. 2 t 2t 0 C1 Z 1 Z cos t + 2t · t 1 F~ · d~x = · dt = sin 1 + 1. 2 t 1 0 C2 Z F~ · d~x = I Thus Z F~ · d~x = C Z C1 F~ · d~x − Z F~ · d~x = 0. C2 (ii) It is conservative since Py = 2x = Qx . f (x, y) = sin x + x2 y. Z Z ~ · d~x = f (1, 1) − f (0, 0) = sin 1 + 1. ~ ∇f F · d~x = (iii) C1 C1 2
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