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1 Final exam review Math 265 Fall 2007 This exam will be cumulative. onsult the review sheets for the midterms for reviews of hapters Vector Fields. A vector field on R 2 is a function F from R 2 to V 2. Input: a point (x, y) Output: a vector F(x, y) = P (x, y)i + Q(x, y)j. A graph of F can be obtained by plotting several vectors F(x, y) with initial point (x, y). A vector field on R 3 is a function F from R 3 to V 3. Input: a point (x, y, z) Output: a vector F(x, y, z) = P (x, y, z)i + Q(x, y, z)j + R(x, y, z)k Line Integrals. Let be a smooth curve in R 2, parametrized by the vector-valued function r(t) = x(t), y(t), a t b. Let f be a continuous real-valued function of two variables. Line integral of f with respect to arc length: f(x, y) ds = b Line integral of f with respect to x: f(x, y) dx = f(x(t), y(t)) [x (t)] 2 + [y (t)] 2 dt b Line integral of f with respect to y: f(x, y) dy = b f(x(t), y(t))x (t) dt f(x(t), y(t))y (t) dt If F(x, y) = P (x, y), Q(x, y) is a continuous vector field on R 2, then F dr = [P (x, y) dx + Q(x, y) dy] = b [P (x(t), y(t))x (t) + Q(x(t), y(t))y (t)] dt. 1
2 Let be a smooth curve in R 3, parametrized by the vector-valued function r(t) = x(t), y(t), z(t), a t b. Let f be a continuous real-valued function of three variables. Line integral of f with respect to arc length: b f(x, y, z) ds = f(x(t), y(t), z(t)) [x (t)] 2 + [y (t)] 2 + [z (t)] 2 dt Line integral of f with respect to x: b f(x, y, z) dx = f(x(t), y(t), z(t))x (t) dt Line integral of f with respect to y: b f(x, y, z) dy = f(x(t), y(t), z(t))y (t) dt Line integral of f with respect to z: b f(x, y, z) dy = f(x(t), y(t), z(t))z (t) dt If F(x, y, z) = P (x, y, z), Q(x, y, z), R(x, y, z) is a continuous vector field on R 3, then F dr = [P (x, y, z) dx + Q(x, y, z) + R(x, y, z) dz] = b [P (x(t), y(t), z(t))x (t) + Q(x(t), y(t), z(t))y (t) + R(x(t), y(t), z(t))z (t)] dt The Fundamental Theorem for Line Integrals. This is a version of the Fundamental Theorem of alculus for line integrals: Let be a smooth curve (in R 2 or R 3 ) parametrized by the vector-valued function r(t), a t b. Let f be a differentiable function (in two or three variables) such that f is continuous. Then f dr = f(r(b)) f(r(a)). In particular, if 1 is another smooth curve with the same initial and terminal points as, then f dr = f dr 1 2
3 A vector field F is conservative if there is a differentiable function f such that F = f. We say that F dr is independent of path if, for each pair of piecewise smooth curves 1 and 2 with the same initial and terminal points, we have 1 F dr 2 F dr. First test to see whether F is conservative: F is conservative if and only if F dr is independent of path. econd test to see whether F is conservative: Let F be a vector field on R 2, say F(x, y) = P (x, y), Q(x, y) where P and Q have continuous first order partial derivatives. Then F is conservative if and only if P y = Q x Green s Theorem. Let be a simple closed curve in R 2 with positive orientation. Let be the planar region bounded by. Let F(x, y) = P (x, y), Q(x, y) be a vector field such that P and Q have continuous first order partial derivatives. Then F dr = [P (x, y) dx + Q(x, y) dy] = (Q x P y ) da. This formula is useful, for instance, when has several pieces and Q x P y is particularly easy to integrate url and ivergence. Write = / x, / y, / z. Let F(x, y, z) = P (x, y, z), Q(x, y, z), R(x, y, z). The curl of F is i j k curl F = F = / x / y / z P Q R = (R y Q z )i + (P z R x )j + (Q x P y )k Third test to see whether F is conservative: If P, Q, and R have continuous first order partial derivatives, then F is conservative if and only if curl F = 0. The divergence of F is div F = F = P x + Q y + R z If P, Q, and R have continuous second order partial derivatives, then div curl F = 0. Let be a simple closed curve in R 2 with positive orientation. Let be the planar region bounded by. Let F(x, y) = P (x, y), Q(x, y) be a vector field such that P and Q have continuous first order partial derivatives. econd version of Green s Theorem: F dr = (curl F) k da. 3
4 Assume that is parametrized by r(t) = x(t), y(t) and set y (t) n(t) = r (t), x (t) r (t) Third version of Green s Theorem: F n ds = div F da Parametric urfaces and Their Areas. Parametric equations: x = f(u, v) y = g(u, v) z = h(u, v) (u, v) in Vector equation: r(u, v) = f(u, v), g(u, v), h(u, v) (u, v) in Be able to identify a surface described parametrically. Also, given a cartesian equation for a surface, be able to describe it parametrically. The tangent plane to a the parametric surface at the point (x 0, y 0, z 0 ) = (f(u 0, v 0 ), g(u 0, v 0 ), h(u 0, v 0 )) is the plane passing through the point (x 0, y 0, z 0 ) with normal vector n = r u (u 0, v 0 ) r v (u 0, v 0 ). The surface area of the surface is A = urface Integrals. r u r v da. Let be the surface describe parametrically by the vector-function r(u, v) for (u, v) in. Assume that r has continuous first order partial derivatives. If f is a continuous real-falued function, then f(x, y, z) d = f(r(u, v)) r u r v da. The unit normal vector to is n = 1 r u r v r u r v. If is a continuous vector field on R 3, then F d = F n d = F (r u r v ) da 4
5 16.8. toke s Theorem. Let be a piecewise smooth parametrized surface such that is simple and closed. Let F = P, Q, R be a vector field such that P, Q and R have continuous first order partial derivatives. Then curl F d = F dr. This formula is useful, for instance, when has several pieces and the integral curl F d is particularly easy to evaluate The ivergence Theorem. Let E be a simple solid region, and assume that the boundary surface E is parametrized so that the unit normal n points away from E. Let F = P, Q, R be a vector field such that P, Q and R have continuous first order partial derivatives. Then div F dv = F d. E This formula is useful, for instance, when E has several pieces and the integral E div F dv is particularly easy to evaluate. E Be sure to review the sections of the text (especially the examples), your notes, your homework, and your quizzes. Practice Exercises: pp : 1 19, 21, 24, 25, 26(a,c),
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