Grad operator, triple and line integrals. Notice: this material must not be used as a substitute for attending the lectures

Similar documents
Calculus III. Math 233 Spring In-term exam April 11th. Suggested solutions

Math Exam III Review

Chapter 15 Vector Calculus

1. Suppose that the equation F (x, y, z) = 0 implicitly defines each of the three variables x, y, and z as functions of the other two:

Coordinate Transformations in Advanced Calculus

Parametric Surfaces. Substitution

Multiple Integrals. max x i 0

Chapter 5 Partial Differentiation

MATH. 2153, Spring 16, MWF 12:40 p.m. QUIZ 1 January 25, 2016 PRINT NAME A. Derdzinski Show all work. No calculators. The problem is worth 10 points.

Math 241, Final Exam. 12/11/12.

MAC2313 Test 3 A E g(x, y, z) dy dx dz

PURE MATHEMATICS 212 Multivariable Calculus CONTENTS. Page. 1. Assignment Summary... i 2. Summary Assignments...2

Math 113 Calculus III Final Exam Practice Problems Spring 2003

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Double Integrals, Iterated Integrals, Cross-sections

Applications of Triple Integrals

Background for Surface Integration

MA 243 Calculus III Fall Assignment 1. Reading assignments are found in James Stewart s Calculus (Early Transcendentals)

MATH 234. Excercises on Integration in Several Variables. I. Double Integrals

Math 2130 Practice Problems Sec Name. Change the Cartesian integral to an equivalent polar integral, and then evaluate.

8(x 2) + 21(y 1) + 6(z 3) = 0 8x + 21y + 6z = 55.

Measuring Lengths The First Fundamental Form

Name: Class: Date: 1. Use Lagrange multipliers to find the maximum and minimum values of the function subject to the given constraint.

Solution of final examination

Contents. MATH 32B-2 (18W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables. 1 Homework 1 - Solutions 3. 2 Homework 2 - Solutions 13

MATH 2400, Analytic Geometry and Calculus 3

18.02 Final Exam. y = 0

Dr. Allen Back. Nov. 21, 2014

Multivariate Calculus Review Problems for Examination Two

Math 209 (Fall 2007) Calculus III. Solution #5. 1. Find the minimum and maximum values of the following functions f under the given constraints:

HOMEWORK ASSIGNMENT #4, MATH 253

Math 241, Exam 3 Information.

A1:Orthogonal Coordinate Systems

1 Vector Functions and Space Curves

Equation of tangent plane: for implicitly defined surfaces section 12.9

MAT203 OVERVIEW OF CONTENTS AND SAMPLE PROBLEMS

13.1. Functions of Several Variables. Introduction to Functions of Several Variables. Functions of Several Variables. Objectives. Example 1 Solution

) in the k-th subbox. The mass of the k-th subbox is M k δ(x k, y k, z k ) V k. Thus,

(c) 0 (d) (a) 27 (b) (e) x 2 3x2

Chapter 15 Notes, Stewart 7e

MATH 261 EXAM III PRACTICE PROBLEMS

Polar Coordinates. Chapter 10: Parametric Equations and Polar coordinates, Section 10.3: Polar coordinates 27 / 45

f (Pijk ) V. may form the Riemann sum: . Definition. The triple integral of f over the rectangular box B is defined to f (x, y, z) dv = lim

Polar Coordinates. Chapter 10: Parametric Equations and Polar coordinates, Section 10.3: Polar coordinates 28 / 46

Homework 8. Due: Tuesday, March 31st, 2009

Math 253, Section 102, Fall 2006 Practice Final Solutions

Dr. Allen Back. Nov. 19, 2014

QUIZ 4 (CHAPTER 17) SOLUTIONS MATH 252 FALL 2008 KUNIYUKI SCORED OUT OF 125 POINTS MULTIPLIED BY % POSSIBLE

Multivariate Calculus: Review Problems for Examination Two

Math 265 Exam 3 Solutions

Lagrange multipliers October 2013

Practice problems from old exams for math 233 William H. Meeks III December 21, 2009

f x = 2e xy +y(2x+y)e xy = (2+2xy+y 2 )e xy.

= w. w u. u ; u + w. x x. z z. y y. v + w. . Remark. The formula stated above is very important in the theory of. surface integral.

Quiz problem bank. Quiz 1 problems. 1. Find all solutions (x, y) to the following:

1 Double Integrals over Rectangular Regions

MATH 2023 Multivariable Calculus

To graph the point (r, θ), simply go out r units along the initial ray, then rotate through the angle θ. The point (1, 5π 6. ) is graphed below:

Section Parametrized Surfaces and Surface Integrals. (I) Parametrizing Surfaces (II) Surface Area (III) Scalar Surface Integrals

The Divergence Theorem

. Tutorial Class V 3-10/10/2012 First Order Partial Derivatives;...

Lagrange multipliers 14.8

University of California, Berkeley

Math 240 Practice Problems

Solution 2. ((3)(1) (2)(1), (4 3), (4)(2) (3)(3)) = (1, 1, 1) D u (f) = (6x + 2yz, 2y + 2xz, 2xy) (0,1,1) = = 4 14

while its direction is given by the right hand rule: point fingers of the right hand in a 1 a 2 a 3 b 1 b 2 b 3 A B = det i j k

Topic 5-6: Parameterizing Surfaces and the Surface Elements ds and ds. Big Ideas. What We Are Doing Today... Notes. Notes. Notes

Math Triple Integrals in Cylindrical Coordinates

Physics 235 Chapter 6. Chapter 6 Some Methods in the Calculus of Variations

What you will learn today

There are 10 problems, with a total of 150 points possible. (a) Find the tangent plane to the surface S at the point ( 2, 1, 2).

Triple Integrals. Be able to set up and evaluate triple integrals over rectangular boxes.

First we consider how to parameterize a surface (similar to a parameterized curve for line integrals). Surfaces will need two parameters.

MA 174: Multivariable Calculus Final EXAM (practice) NO CALCULATORS, BOOKS, OR PAPERS ARE ALLOWED. Use the back of the test pages for scrap paper.

PURE MATHEMATICS 212 Multivariable Calculus CONTENTS. Page. 1. Assignment Summary... i 2. Introduction Timetable Assignments...

Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives

Curves: We always parameterize a curve with a single variable, for example r(t) =

The diagram above shows a sketch of the curve C with parametric equations

6. Find the equation of the plane that passes through the point (-1,2,1) and contains the line x = y = z.

Calculus III Meets the Final

27. Tangent Planes & Approximations

. 1. Chain rules. Directional derivative. Gradient Vector Field. Most Rapid Increase. Implicit Function Theorem, Implicit Differentiation

Worksheet 3.5: Triple Integrals in Spherical Coordinates. Warm-Up: Spherical Coordinates (ρ, φ, θ)

Practice problems. 1. Given a = 3i 2j and b = 2i + j. Write c = i + j in terms of a and b.

Total. Math 2130 Practice Final (Spring 2017) (1) (2) (3) (4) (5) (6) (7) (8)

Math 11 Fall 2016 Section 1 Monday, October 17, 2016

10.7 Triple Integrals. The Divergence Theorem of Gauss

38. Triple Integration over Rectangular Regions

MATH 2400: CALCULUS 3 MAY 9, 2007 FINAL EXAM

MATH 209 Lab Solutions

Polar (BC Only) They are necessary to find the derivative of a polar curve in x- and y-coordinates. The derivative

Calculus IV. Exam 2 November 13, 2003

UNIVERSITI TEKNOLOGI MALAYSIA SSE 1893 ENGINEERING MATHEMATICS TUTORIAL 5

f xx (x, y) = 6 + 6x f xy (x, y) = 0 f yy (x, y) = y In general, the quantity that we re interested in is

REVIEW I MATH 254 Calculus IV. Exam I (Friday, April 29) will cover sections

Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers

= f (a, b) + (hf x + kf y ) (a,b) +

Name: Final Exam Review. (b) Reparameterize r(t) with respect to arc length measured for the point (1, 0, 1) in the direction of increasing t.

Surfaces and Integral Curves

University of Saskatchewan Department of Mathematics & Statistics MATH Final Instructors: (01) P. J. Browne (03) B. Friberg (05) H.

Transcription:

Grad operator, triple and line integrals Notice: this material must not be used as a substitute for attending the lectures 1

.1 The grad operator Let f(x 1, x,..., x n ) be a function of the n variables x 1, x,..., x n. The grad of f, written grad f or f is defined by f ( f, f,..., f ). x 1 x x n Often we are working in dimensions, so the grad of f would be f ( f x, f, f ) or f x i + f j + f k. Also recall the notation we use in d: r (x, y, z) or xi + yj + zk is the position vector of a point, r (also denoted r ) is the length of the vector r and is given by r x + y + z in d.. Example If f(x, y) x + y then f ( f x, f ) (x, y).. Example If f(x, y, z) xy z then.4 Example f ( f x, f, f ) (y, x, 6z). Show that r 1 r r, where r (x, y, z) and r x + y + z. Solution. From the definition of the grad, we have Now Similarly r y r r ( r x, r, r ) r x x (x + y + z ) 1/ 1 (x + y + z ) 1/ (x) x r and r z r. Hence ( x r r, y r, z ) 1 r r (x, y, z) 1 r r.

.5 Properties of the grad operator (f + g) f + g (αf) α f if α is constant (fg) f g + g f ( ) fg g f f g g We will not prove all of the above properties here, only the third rule (the product rule for the grad operator). We have ( (fg) (f g) x, (fg), (fg) ) ( f g x + g f x, f g + g f, f g + g f ) ( g f x, g, g ) ( f + g x, f, f ) f g + g f..6 Gradient as normal to a surface The general form of the equation of a surface is f(x, y, z). (Often a surface will come to us in the form z g(x, y), but we can always write this as g(x, y) z.) Fact: f is perpendicular (normal) to the surface f(x, y, z) at every point. Proof. Let P be a typical point on the surface f(x, y, z). Let be any curve lying in the surface and passing through P. Assume this curve has been parametrised so that it is given by r(t) (x(t), y(t), z(t)) for some parameter t. Since lies in the surface, f(x(t), y(t), z(t)) Differentiating with respect to t using the chain rule for partial derivatives gives i.e. f dx x dt + f dy dt + f dz dt ( f x, f, f ) ( dx dt, dy dt, dz ). dt }{{}}{{} f dr/dt Hence f is perpendicular to dr/dt. However, dr/dt is tangent to, because dr dt lim r(t + h) r(t). h h Hence f is perpendicular to the curve at the point P. All this is true for any curve passing through P. Hence f is perpendicular to the surface at P and the proof is complete.

.7 Example Find a unit normal to the surface z x + y. Solution. First write the surface in the form x + y z, i.e. f(x, y, z) where in this case f(x, y, z) x + y z. By the above theory, the vector f (x, y, 1) is normal to the surface. This example asks for a unit normal so we must divide the above vector by its length. A unit normal n is then given by n f f.8 Tangent plane to a surface (x, y, 1) 4x + 4y + 1 In two dimensions we can find the equation of the tangent line to a curve at any point using A-Level methods. In three dimensions the analogous concept is the tangent plane. At any point on a (smooth) surface there will be a plane which is tangent to the surface at that point. We want to know how to find the equation of the tangent plane, and the next example illustrates how to do so..9 Example (tangent plane) Find the equation of the tangent plane to the surface xy + yz + zx 11 at the point (1,, ). Solution. Recall that the equation of a plane is (r a) n where a is the position vector of some point in the plane, and n is a normal to the plane. We can find a suitable normal n by using the ideas just recently discussed, i.e. we write the surface in the form f(x, y, z) where, in this case, f(x, y, z) xy + yz + zx 11. Then Thus, at (1,, ), f (y + z, x + z, y + x) f (5, 4, ) so a normal is n (5, 4, ). So the tangent plane has equation (r a) n, i.e. ((x, y, z) (1,, )) (5, 4, ) (x 1, y, z ) (5, 4, ) so that 5(x 1) + 4(y ) + (z ). Thus, the equation of the tangent plane is 5x + 4y + z. 4

.1 Example Find the equation of the tangent plane to the surface xyz a at the point (a, a, a). Solution. The surface has equation f(x, y, z) where f(x, y, z) xyz a. We want a normal to the surface at the point (a, a, a). Such a normal is f ( f x, f, f ) (yz, xz, xy) (a, a, a ) at the given point. The equation of the tangent plane is (r a) n with a (a, a, a) and n (a, a, a ) which simplifies to x + y + z a. 1 Method of Lagrange multipliers The method of Lagrange multipliers is for the finding the maximum or minimum of a function f(x) subject to a side constraint of the form g(x). To find such critical points, we form the equation f λ g in which λ is called a Lagrange multiplier. The above equation is a vector equation, so we can compare components. The resulting equations are then solved together with g(x) to find x and λ. In the general setting x is an n-dimensional vector, so we have n + 1 equations for n + 1 unknowns. So, in principle, the problem can be solved. How to do so in practice is highly problem-specific. 1.1 Example Maximise f(x, y, z) xyz subject to x + y + z 1. Solution. We can write the constraint in the form g(x, y, z) by taking g(x, y, z) x + y + z 1. Now so the equation f λ g becomes omparing components gives f (yz, xz, xy) and g (x, y, z ) (yz, xz, xy) λ(x, y, z ). yz λx xz λy xy λz 5

If we multiply the first of these equations by x, the second by y and the third by z we find that λx λy λz and so, for this problem, x y z. Therefore, the equation x + y + z 1 becomes x 1. So x y z (1/) 1/. Therefore the maximum value of the function subject to the given constraint is 1. Example ( 1 f(x, y, z) xyz )1 ( 1 ) 1 ( ) 1 1 1. Find the points on the sphere x + y + z 6 that are closest to and furthest from the point (1,, ). Solution. The distance of any point (x, y, z) to (1,, ) is given by d (x 1) + (y ) + (z ) Minimising or maximising this is equivalent to minimising or maximising its square. So, we want to minimise/maximise the function f(x, y, z) (x 1) + (y ) + (z ) subject to x + y + z 6. The latter is our constraint and so we take g(x, y, z) x + y + z 6. Now f ((x 1), (y ), (z )) g (x, y, z) so the equation f λ g becomes, on equating components, giving (x 1) λx, (y ) λy, (z ) λz x 1 1 λ, y 1 λ, z 1 λ. Putting these expressions into x + y + z 6 gives 1 (1 λ) + 4 (1 λ) + 4 (1 λ) 6 so that 9 (1 6 λ). Hence 1 λ ± 1 giving λ or 1. λ gives (x, y, z) (, 4, 4), this is the furthest point. λ 1 gives (x, y, z) (, 4, 4) which is the nearest point. (NB: a diagram shows us which point is nearest/furthest). 6

1. Example Fermat, in 1661, stated that light always travels along the path that minimises the time taken for the journey. The velocity of light depends on the medium it is travelling through. So the optimum path is not necessarily a straight line. Medium 1 is located above medium, the two being separated by a horizontal straight line. In medium 1 light travels with speed v, while in medium it travels with speed. A light source is located in medium 1, and an observer in medium a horizontal distance L to the right of the source. A light ray travels from source to observer along the path which minimises time taken, which consists of two straight line paths that meet at the interface. The path in medium 1 makes an angle α with the vertical, that in medium makes an angle β with the vertical. We want to find the relationship between α and β. We shall do this using the method of Lagrange multipliers. We shall calculate an expression for the time taken for the ray of light to get from source to observer, and then minimise this expression with α and β as the variables. Now and time from source to interface time from interface to observer dist speed a sec α v dist speed b sec β Therefore the total time taken by the ray of light is f(α, β) where Also, a diagram shows that f(α, β) a sec α v + b sec β. L a tan α + b tan β. So our constraint is g(α, β) where g(α, β) a tan α + b tan β L. Applying the method of Lagrange multipliers, the equation f λ g becomes ( ) a v sec α tan α, b sec β tan β λ(a sec α, b sec β) comparing components, i.e. So tan α v sin α v sin α v λ sec α, λ, and sin β or tan β sin β λ sec β λ sin α sin β v This is called Snell s Law. It can be solved simultaneously with L a tan α + b tan β to find α and β. 7

ylindrical and spherical polar coordinates Recall that in two dimensions, polar coordinates give us a way of describing the position of a point in the (x, y) plane. We describe the position by its distance r to the origin and the angle θ that the point makes with the positive x-axis, measured anticlockwise. From elementary trigonometry we have the following relations between a point s cartesian coordinates (x, y) and its polar coordinates (r, θ): x r cos θ, y r sin θ. This section is about polar coordinates in three dimensional space. In three dimensions there are two different polar coordinate systems. These are: cylindrical polars and spherical polars. It is important not to confuse the two as they are quite separate systems and the meanings of the variables in the two systems are different..1 ylindrical polars (r, θ, z) In this system the position of a point is described by the three coordinates (r, θ, z), in which r and θ have the same meaning as in plane polars and describe the location of the point s projection onto the (x, y) plane, while z is the point s cartesian z coordinate. In cylindrical polars the relationship between a points cartesian coordinates (x, y, z) and its cylindrical polar coordinates (r, θ, z) is given by x r cos θ, y r sin θ, z z ylindrical polars are commonly used in practical problems where there is cylindrical symmetry, for example, fluid flow problems in pipes of circular cross-section.. Spherical polars (r, θ, φ) In this system the position of a point is described by: its distance r to the origin, its angle θ measured from the positive z axis, and the angle φ that its projection onto the (x, y) plane makes with the positive x-axis. Simple trigonometry shows that the relationship between a point s cartesian coordinates (x, y, z) and its spherical polar coordinates (r, θ, φ) is given by x r sin θ cos φ y r sin θ sin φ z r cos θ (.1) Some books write θ and φ the other way round, which can be a source of confusion. One has to adopt a convention and stick to it. Note that θ and φ are essentially latitude and longitude. Applications of the spherical polar coordinate system include aircraft navigation and the cataloguing of celestial objects like stars and galaxies. In the latter context θ and φ are called declination and right ascension. 8

Note the following useful fact which follows from the above three equations: x + y + z r in spherical polars. Note also this result does not hold in cylindrical polars. arious surfaces have equations both in cartesian coordinates and in cylindrical or spherical polars. The following examples illustrate this.. Example Let us write the cylinder (x ) + y 4 in terms of cylindrical polar coordinates. First we expand out to get x 4x + 4 + y 4. In cylindrical polars x r cos θ and y r sin θ. Inserting these expressions gives Simplifying this gives r 4 cos θ..4 Example r cos θ 4r cos θ + 4 + r sin θ 4 The cartesian equation of a sphere of radius R centred at the origin is x + y + z R. Recall that in spherical polars x + y + z r. Therefore in spherical polars the equation of the sphere is simply r R. Let s look next at the sphere of radius R centred at the point (,, a) rather than the origin. Its cartesian equation would be x + y + (z a) R Let s convert this to spherical polars. Expanding out, x + y + z az + a R. Using (.1), this becomes r ar cos θ + a R which is the sphere s equation in spherical polars. Triple integrals Triple integrals are integrals of the form f(x, y, z) dx dy dz in which is a subset of three dimensional space. An important particular case is: volume of a -d object dx dy dz object 9

Such an integral is worked out similarly to the method for working out a double integral (i.e. start from the inside and work out). However it is often advantageous to make a substitution. As for double integrals, which substitution to use will depend as much on the region of integration as on the integrand f(x, y, z). hanging variables in a triple integral is like changing variables in a double integral and involves working out the Jacobian (it will be a determinant this time) and working out the limits of integration. If we change the variables x, y and z to new variables u, v and w defined by x x(u, v, w), y y(u, v, w), z z(u, v, w), then the Jacobian J is defined by J x u u u x v v v x w w w We find the modulus J of the Jacobian J. It is then an important fact that dx dy dz J du dv dw Thus after making the substitution the integral becomes f(x, y, z) dx dy dz newlimits f(x(u, v, w), y(u, v, w), z(u, v, w)) J du dv dw In situations where the region of integration is a cylinder or a sphere (or part thereof) it is common to transform into the appropriate polar coordinate system. Let us, therefore, calculate the Jacobian J for cylindrical polars and for spherical polars..1 Jacobian in cylindrical polars (r, θ, z) Recall that, in cylindrical polars, x r cos θ, y r sin θ, z z. Jacobian J is given by J x r r r x θ θ θ x cos θ r sin θ sin θ r cos θ 1 Therefore the which gives: J r in cylindrical polars. Jacobian in spherical polars (r, θ, φ) In spherical polars, x r sin θ cos φ, y r sin θ sin φ, z r cos θ. 1

Therefore in this coordinate system the Jacobian J is given by x x x r θ φ J r θ φ r θ φ sin θ cos φ r cos θ cos φ r sin θ sin φ sin θ sin φ r cos θ sin φ r sin θ cos φ cos θ r sin θ sin θ cos φ(r sin θ cos φ) r cos θ cos φ( r sin θ cos θ cos φ) r sin θ sin φ( r sin θ sin φ r cos θ sin φ) r sin θ [ sin θ cos φ + cos θ cos φ + sin φ ] r sin θ(cos φ + sin φ) r sin θ We have shown that J r sin θ in spherical polars. Example Find the volume of a sphere of radius a. Solution. Let s take the sphere to be centred at the origin. In terms of spherical polar coordinates (r, θ, φ), the sphere is then described by The volume of the sphere is given by volume dx dy dz..4 Example Evaluate r a, θ π, φ π. sphere π π a a a 4 πa π π π r} sin {{ θ} dr dθ dφ Jacobian dφ sin θ dθ dφ Now switch to spherical polars (y + z ) d [NB: d means dx dy dz] where is the cylinder of radius a whose axis lies along the z-axis, occupying the portion z h of the z-axis. 11

Solution. Switch to cylindrical polars x r cos θ, y r sin θ, z z. The given cylinder is then described by and we have (y + z ) d r a, θ π, z h h π a h π a a4 4 h π πha4 4 (r sin θ + z ) r dr dθ dz r sin θ dr dθ dz + ( 1 1 + πa h.5 Example (volume of ellipsoid) Let s find the volume of the ellipsoid The volume is equal to x a + y b + z c 1 dx dy dz h π a cos θ) dθ dz + a h π rz dr dθ dz z dθ dz where in this case consists of all points (x, y, z) which make up the ellipsoid. The problem is simplified by the transformation x au, y bv, z cw under which the equation of the ellipse transforms into u + v + w 1. So the ellipsoid manifests itself in the (u, v, w) variables as a sphere of radius 1. The Jacobian of the transformation is x x x u v w J u v w u v w a b c abc Therefore volume dx dy dz {u +v +w 1} Jacobian {}}{ abc du dv dw abc du dv dw {u +v +w 1} abc (volume of sphere of radius 1) 4 πabc. 1

.6 Example Find the volume of the solid common to the two spheres given in terms of spherical polar coordinates by r and r cos θ. Solution. The sphere r is centred at the origin and has radius. The other sphere r cos θ is centred at the point (x, y, z) (,, ) and has radius (to see this compare with the second part of Example.4). We are considering a region of space defined by the intersection of two spheres, one of radius centred at the origin, and the other a smaller sphere centred at a point on the z axis. A diagram, viewed with the (x, y) plane edge-on, shows two circles. Let A denote the centre of the offset one, and B one of the two points where the two circles intersect. Then AB, OA, and OB, so that triangle OAB is right angled. Hence the angle AOB is π/4. A line drawn from O to B shows that the volume we are trying to calculate is divided into two parts, one of which is the θ π/4 part which resembles an ice cream cone. In the other lower part, θ is from π/4 to π/ but the upper limit for r in this part will depend on θ. Let us deal with ice cream part first. This part is described in spherical polar variables by r, θ π/4, φ π. The volume of this part is dx dy dz. In spherical polars dx dy dz r sin θ dr dθ dφ so the volume of this part is π π/4 r sin θ dr dθ dφ 8 The other part of the volume is described by The volume of this part is π π/ cos θ π/4 8 8 π π/4 π ( π 16π sin θ dθ dφ [ cos θ] π/4 dφ 1 1 ) dφ ( ) 1 π/4 θ π/, φ π, r cos θ. r sin θ dr dθ dφ π [ π/ r 16 16 16 π sin θ π/4 π π/ π/4 [ π π ] r cos θ r dθ dφ cos θ sin θ dθ dφ cos4 θ 4 1 16 dφ ] π/ π/4 dφ 1

The total volume of the region common to the spheres is therefore ( ) 16π 1 + π which equals (π/)(16 6 ). 4 Line integrals Line integrals are integrals of the form F dr where dr (dx, dy, dz) and is a curve (usually in d). A common interpretation of the line integral is that it equals the work done by a force on a particle as it moves along the curve. The curve must have a definite start and end point. It may be a closed curve, but in the latter case we still have to be clear about the sense in which the curve is traversed (e.g. if the curve is in d, whether it is traversed clockwise or anticlockwise). 4.1 Example Evaluate F dr where F xi + yj + zk and is the curve parametrised by r(t) ti + t j + t k, for t 1. Solution. The curve is given parametrically by x t, y t, z t. We have F dr (x, y, z) (dx, dy, dz) }{{}}{{} F dr ( (x dx + y dy + z dz) x dx dt + y dy dt + z dz ) dt dt 1 1 (t(1) + t (6t) + t (6t )) dt (t + 18t + 1t 5 ) dt [ ] t 1 + 18t4 4 + 1t6 6 7. 4. Example Evaluate F dr 14

where F (z, y, 6z) and is the curve (cos θ, sin θ, θ/) for θ 4π. This curve is a helix. Solution. F dr (z, y, 6z) (dx, dy, dz) 4. Green s theorem ( ( 4π z dx ) dy dz + y + 6z dθ dθ dθ dθ θ( sin θ) + sin θ cos θ + θ ) dθ [ sin ] 4π [ ] θ θ 4π + 4π θ sin θ dθ + 4π + 16π. Let be a closed curve in the (x, y) plane. If the curve is traversed anticlockwise then ( N M dx + N dy D x M ) dx dy where D is the region in the (x, y) plane enclosed by. 4.4 Example of use of Green s theorem Evaluate F dr where F xyi + y j and is the closed curve consisting of y x from (, ) to (1, 1) followed by y x from (1, 1) to (, ). Solution. Since the curve in this problem lies entirely in the (x, y) plane we may evaluate this line integral by using Green s theorem. We have F dr (xy, y ) (dx, dy) xy dx + y dy ( x) dx dy by Green s theorem D x dx dy evaluate this using double integral methods D 1 x 1 x dy dx [xy] yx x [ 1 x (x x ) dx x4 4 1 1. yx dx ] 1 15

4.5 A formula for area In Green s theorem, if we take N x and M y then we get (1 ( 1)) dx dy ( y dx + x dy) i.e. dx dy D }{{} area of D Hence we have the following formula: D area of a region 1 ( y dx + x dy) ( y dx + x dy) (4.) where is the boundary curve of the region, traversed anticlockwise. 4.6 Area of ellipse using above formula Let us find the area of the ellipse x /a + y /b 1. We parametrise the ellipse: x a cos t, y b sin t, t π. Then we have area of ellipse 1 ( y dx + x dy) ( π 1 π 1 b sin t dx dt + a cos tdy dt ) dt [ b sin t( a sin t) + (a cos t)(b cos t)] dt π 1ab (sin t + cos t) dt πab. 4.7 Area of a general polygon The area of a polygon with vertices (x 1, y 1 ), (x, y ),..., (x n, y n ) in anticlockwise order is given by A 1 [(x 1y x y 1 ) + (x y x y ) + + (x n 1 y n x n y n 1 ) + (x n y 1 x 1 y n )] Proof. By the general area formula (4.), the area of a general polygon will be given by A 1 ( y dx + x dy) 1 ( y dx + x dy) j j 16

where is the overall boundary of the polygon, and j is the straight line segment joining (x j, y j ) to (x j+1, y j+1 ) for j 1,,..., n 1, and n joins (x n, y n ) to (x 1, y 1 ). We can parametrise the segment j by (x, y) (1 t)(x j, y j ) + t(x j+1, y j+1 ) for t 1 (this is basically using the vector equation of a straight line), so that Thus A 1 j j 1 1 j 1 j 1 j 1 j ( y dx dt + x dy ) dt x (1 t)x j + tx j+1, y (1 t)y j + ty j+1. dt { [(1 t)y j + ty j+1 ](x j+1 x j ) + [(1 t)x j + tx j+1 ](y j+1 y j )} dt [ ] 1 [ (x j+1 x j ) t y (1 t) (1 t) j+1 + y j + (y j+1 y j ) x j + t x j+1 { (xj+1 x j )( 1y j+1 1y j) + (y j+1 y j )( 1x j+1 + 1x j) } (x j y j+1 x j+1 y j ) and the proof is complete. ] 1 17