MA20010: Vector Calculus and Partial Differential Equations
|
|
- Oscar Booker
- 7 years ago
- Views:
Transcription
1 MA20010: Vector alculus and Partial Differential Equations Robert cheichl Department of Mathematical ciences University of Bath October 2006 January 2007 This course deals with basic concepts and results in vector integration and vector calculus, Fourier series, and the solution of partial differential equations by separation of variables. It is fundamental to most areas of applied Maths and many areas of pure Maths, a prerequisite for a large number (11!!) of courses in emester 2 and in Year 3/4. There will be two class tests: Tuesday, 31st October, 5.15pm (Line, surface, volume integrals) Tuesday, 28th November, 5.15pm (Vector calculus and integral theorems) Questions will be similar to the questions on the problem sheets! Please take this course seriously and do not fall behind with the problem sheets. The syllabus for this course is very dense and only through constant practice will you be able to grasp the multitude of methods and concepts. Please revise MA10005 ect. 6-8 Multivariate alculus MA10006 ect. 1 Vector Algebra The first AIM quiz is designed to help you focus on the relevant material in those courses.
2 ontents 1 Vector Integration Line Integrals Parametric Representation Arclength Line Integrals of calar Fields Line Integrals of Vector Fields Application to Particle Motion urface Integrals The urface Elements d and d urface Integrals of calar Fields Flux urface Integrals of Vector Fields Volume Integrals hange of Variables Reparametrisation Vector alculus Directional Derivatives and Gradients Application: Level urfaces and Grad Divergence and url; the Operator econd order derivatives the Laplace Operator Application: Potential Theory [Bourne, pp ] Differentiation in urvilinear oordinates Orthogonal urvilinear oordinates Grad, div, curl, 2 in Orthogonal urvilinear oordinates Integral Theorems The Divergence Theorem of Gauss Green s Theorem in the Plane tokes Theorem Fourier eries Periodicity of Fourier eries Fourier onvergence Gibbs Phenomenon Half-range eries Application: Eigenproblems for 2nd-order ODEs Partial Differential Equations lassification of Partial Differential Equations eparation of Variables Fourier s Method Elliptic PDEs Laplace s Equation
3 5.2.2 ircular Geometry Hyperbolic PDEs Wave Equation Parabolic PDEs Diffusion Equation Other olution Methods for PDEs (not examinable!) The Laplace Transform Method D Alembert s olution of the Wave Equation
4 hapter 1 Vector Integration In this course we will be dealing with functions in more than one unknown whose function value might be vector valued as well. Definition 1.1. A function F : R n R n is called a vector field on R n. A function f : R n R is called a scalar field on R n. (Usually n will be 2 or 3.) Example 1.2. Typical examples of vector fields are gravitational field G(x) electrical field E(x) magnetic field B(x) velocity field V (x) Example 1.3. Typical examples of scalar fields are speed V (x) kinetic energy 1 2 m V (x) 2 electrical potential ϕ E (x) We will now learn how to integrate such fields in R n. 1.1 Line Integrals [Bourne, pp ] & [Anton, pp ] Example 1.4. (Motivating Problem). y B What is the perimeter of the unit circle? replacements 1 A x Perimeter = 4 length s of arc AB Let us divide the interval [ 1, 0] into N elements of length x i = 1/N, i = 0,..., N 1: 1
5 Pfrag replacements y s i B y i s i y i x i A x eter = 4 length s of arc AB 1 x i Obviously, with s i as constructed in the above figure s = N 1 i=0 s i. Moreover 2
6 s = dx (1.1) 1 x 2 DIY Use the substitution x = cos θ to evaluate (1.1): Hence, the perimeter is Parametric Representation Arclength Let be a curve in R n with parametric representation r(t), i.e. = {r(t) : t 0 t t e } (1.2) where r : [t 0, t e ] R n is continuously differentiable. replacements 0 r(t) As t increases r(t) traces out the curve. Note. In Ex. 1.4 t was chosen to be x. In general, t can be any parameter (e.g. angle θ). 3
7 Example 1.5. Give a parametric representation of the ellipse x2 a 2 + y2 b 2 = 1. As in Example 1.4 we can now calculate the arclength s(t) of from r(t 0 ) to r(t) for every t [t 0, t e ]. Let t := t t 0 N for some N N and let t i := t 0 + i t, for i = 0,..., N 1. Therefore Pfrag replacements s i r(t i ) r(t i + t) (1.3) and (1.4) Letting N (which also means that t 0), the arclength is t ( s(t) = dr t ) ( dt dt = dx ) 2 ( dt + dy ) 2 ( dt + dz ) 2 dt dt in R 3. (1.5) t 0 t 0 Also, in the limit as t 0 equation (1.3) becomes ds = dr dt dt. (1.6) The length of the entire curve is given by L = s(t e ) = te t 0 dr dt dt. (1.7) 4
8 1.1.2 Line Integrals of calar Fields Now assume we want to calculate the integral of a scalar field f : R n R along the curve. Geometrically this means, to calculate the following area A: Pfrag replacements z = f(x, y) z f(r(t i )) A y (in R 2 ) x r(t 0 ) As in (1.4) with t = t e t 0 N we get s i r(t e ) (i.e. we approximate the area by the sum of the strips.) Hence for N A = te t 0 f(r(t)) dr dt dt (an ordinary integral of a scalar valued function of t). Definition 1.6. The line integral of a scalar field f : R n R along the curve in (1.2) is defined as te f ds := f(r(t)) dr dt dt. (1.8) Remark 1.7. t 0 (a) The value of f ds does not depend on the choice of parametrisation, even if the orientation of is reversed [Bourne, p. 148], [Anton, pp ]. (b) The length of the curve in (1.6) is a special line integral, i.e. L = 1 ds. Example 1.8. Integrate f(x, y) = 2xy around the first quadrant of a circle with radius a as shown: y Pfrag replacements a x 5
9 tep 1. Parametrise circle: tep 2. alculate the line element ds : DIY tep 3. Apply formula (1.8) for the line integral: Line Integrals of Vector Fields Definition 1.9. The work integral of a vector field F : R n R n along the curve in (1.2) is defined as te F dr := F (r(t)) dr dt. (1.9) dt (dot product!) t 0 Theorem If ˆT is the unit tangent vector to in (1.2) that points in the direction in which t is increasing, then F dr = (F ˆT ) ds, (1.10) i.e. the work integral of F = the line integral of the component of F parallel to. Proof. 6
10 Remark (a) It follows directly from Theorem 1.10 that a reversal of the orientation of does change the sign of the work integral (in contrast to the line integral of a scalar field, cf. Remark 1.7(a)) [Bourne, p. 153], [Anton, p. 1109]. (b) If F is a force field then F dr is the work done by moving a particle from r(t 0) to r(t e ) along the curve ; hence the term work integral. Example (in tutorial). x2 is the ellipse a + y2 = 1 in the upper half plane as shown: 2 b2 Pfrag replacements y Evaluate the integral F dr where F (x, y) = (2y, x2 ) T and b a x tep 1. Parametrise the curve (Example 1.5): r(t) = (a cos t, b sin t) T, t [0, π]. tep 2. alculate the vector line element dr = dr dt dt : tep 3. Apply formula (1.9) for the work integral: 7
11 Definition (in tutorial). Let F be a vector field such that F = F 1 i + F 2 j + F 3 k. The (vector valued) integrals F ds and F dr are defined as ( ) T F ds := F 1 ds, F 2 ds, F 3 ds F dr := te t 0 F (r(t)) dr dt dt. Definition A vector field F : R n R n is called conservative, if F dr = F dr (1.11) 1 2 for any two curves 1 and 2 connecting two points x 0 and x e in R n Pfrag replacements 2 x e 1 x Application to Particle Motion uppose F : R n R n is a force field and suppose that a particle of mass m moves along a curve through this field. uppose further that r(t) is the position of the particle at time t [t 0, t e ] (i.e. r(t) is a parametric representation of where the parameter t is time). Recall: particle velocity kinetic energy V (t) = dr dt K(t) = 1 m V (t) 2 2 Newton s econd Law states Therefore Force applied = mass * acceleration = F (r(t)) = m d2 r dt 2. F dr = te t 0 = 1 2 m te F (r(t)) dr dt dt = t 0 te ( d dr dt dt dr ) dt = 1 te dt 2 m t 0 t 0 ( ) m d2 r dr dt 2 dt dt d dt V (t) 2 dt and so by the Fundamental Theorem of alculus F dr = 1 2 m V (t e) m V (t 0) 2, (1.12) or in other words 8
12 Work done = hange in kinetic energy from t 0 to t e ( conservation of energy principle ). 1.2 urface Integrals [Bourne, pp ] & [Anton, pp ] In the previous section we discussed integrals along one-dimensional curves in R n. Now we want to look at integrals on two-dimensional surfaces in R n. You have already done the case n = 2 in MA10005, i.e. (flat) surfaces in R 2. Now we will consider surfaces in R 3, i.e. n = 3. Pfrag Recall replacements (for curves): parametric representation r(t) t 0 t e Now, let be a (two-dimensional) surface in R 3 with parametric representation r(u, v), i.e. = {r(u, v) : (u, v) D} (1.13) where r : D R 3 is continuously differentiable and D R 2. Example (tep 1). A cylindrical shell of height b and radius a frag replacements z a r(u, v) v u v b y b 2π D u x ric representation can be parametrised by 9
13 1.2.1 The urface Elements d and d Recall: the equation of a plane in R 3 is x = x 0 + λl + µm, λ, µ R (where l, m are two arbitrary non-parallel vectors on the plane). Pfrag replacements The unit normal to this plane is ˆn = l m l m. x 0 ˆn l m 0 Now, let = {r(u, v) : (u, v) D} as in (1.13) and let (u 0, v 0 ) D. Fixing v 0 we get Pfrag replacements r v r u u0 r(u 0, v 0 ) v0 imilarly, 0 Definition (a) The tangent plane of in (1.13) at the point r(u 0, v 0 ) is { T := x R 3 : x = r(u 0, v 0 ) + λ r u (u 0, v 0 ) + µ r } v (u 0, v 0 ), λ, µ R. (1.14) (b) The unit normal to at r(u 0, v 0 ) is ( r ˆn := u r ) / r v u r v (u 0, v 0 ) (1.15) Note (on orientation). Reversing the rôles of u and v, changes the sign of ˆn. This is a matter of convention. For closed surfaces (e.g. sphere, cylinder, torus) it is common to define ˆn to be the normal that points outward. (If it is not clear we will always specify the orientation of the normal/surface.) 10
14 We will now define a surface element d for the surface = {r(u, v) : (u, v) D} in (1.13): Recall the line element ds := dr dt dt which we defined in (1.6) for a Pfrag replacements (one-dimensional) curve. ds g replacements Let P 0 be a point on the surface, such that OP 0 = r(u, v), let P 1 be a neighbouring point with OP 1 = r(u + u, v). imilarly, let P 2 and P 3 be the points with OP 2 = r(u, v + v) and OP 3 = r(u + u, v + v). v + v v r(u, v) P 0 P 2 P 3 P 1 v + v v D 0 u u u + u u + u For u and v sufficiently small d = r u r v du dv. (1.16) d is called the (scalar) surface element. Example (tep 2). alculate d and find the outward unit normal of the cylindrical shell of height b and radius a. 11
15 DIY (Recall tep 1 (i.e. Example 1.15): r(u, v) := (a cos u, a sin u, v) T.) The vector surface element d is defined as d := d ˆn, (1.17) or using (1.15) and (1.16) d = ( r u r ) du dv. (1.18) v urface Integrals of calar Fields Definition The surface integral of a scalar field f : R n R on in (1.13) is defined as f d = f(r(u, v)) r u r v du dv. (1.19) D Example (tep 3). Find the surface area of a cylindrical shell of height b, radius a. [Recall: tep 1 (i.e. Example 1.15: r(u, v) := (a cos u, a sin u, v) T, 0 u 2π, 0 v b, tep 2 (i.e. Example 1.17: d = a du dv. ] ( surface integral 2D integral repeated integral. ) Note. Try always to parametrise a surface in such a way that either D is rectangular or D = {(u, v) : u [u 0, u e ] and v [v 0 (u), v e (u)]}. This makes the transition from the 2D-integral to the repeated integral easier (compare MA10005). 12
16 Pfrag replacements v v e (u) D v 0 (u) u u 0 u e Remark (a) Another way to define the surface integral would be to use a subdivision of into (little) surface elements i with centre x i (as for line integrals), i.e. f d = ee [Anton, p. 1130]. lim N N 1 i=0 f(x i ) Pfrag i. replacements (1.20) x i i (b) The area of a surface is a special surface integral, i.e. A = Flux urface Integrals of Vector Fields d (cf. Remark 1.7(b)). Definition The flux (or surface integral) of a vector field F : R n R n across a surface is defined as ( r F d = F (r(u, v)) u r ) du dv. (1.21) v Remark (a) It follows from (1.17) that F d = D (F ˆn) d, i.e. the flux of F across = surface integral of the normal component of F on. (b) (physical interpretation) If F is for example the velocity field of some fluid then the flux across is the net volume of fluid that passes through the surface per unit of time. For more details: DIY Example Find Please study [Anton, pp ] until the next lecture. x d, where is the sphere with radius a, i.e. := {x R 3 : x 2 + y 2 + z 2 = a 2 }. 13
17 tep 1. Parametrise : spherical polar coordinates tep 2. alculate r θ r ϕ : tep 3. Apply formula (1.21) for the surface integral: Remark (a) o far we have only considered smooth surfaces, i.e. surfaces with continuously differentiable parametric representation r. However, the notion of surface integrals can be extended to surface integrals on piecewise smooth surfaces: If := n, where i is smooth for each i = 1,..., n, then we define := n 14
18 For example: Let be the surface of the unit cube and let 1,..., 6 be the six faces (obviously Pfrag replacements each one of the i, i = 1,..., 6 is smooth), and so = (b) Analagously, for piecewise smooth curves := m, we define := m. 1.3 Volume Integrals [Bourne, pp ] & [Anton, pp ] Let f : Ω R be a scalar field defined on a bounded region Ω R 3. As in R 2 (recall MA10005) we can subdivide Ω into little volume elements V i with centre x i and define the volume integral N 1 Pfrag replacements f dv = lim f(x i ) V i N z Ω Ω i=0 (where V i 0 as N ). In rectangular artesian coordinates one might choose V i = x y z and hence obtain in the limit the volume element dv = dx dy dz. Thus Ω f dv = Ω x x i y V i x z f(x, y, z) dx dy dz. (1.22) If f is continuous, the right hand side can be evaluated as a repeated integral again (in any order you want). However the limits of these repeated integrals might be very akward. Example Find the volume of the ball of radius a in the first octant, i.e. Ω := {x R 3 : x 2 + y 2 + z 2 a 2, x, y, z 0}. y y acements z x a 15
19 Things may become even nastier if we want to integrate over the entire ball hange of Variables Reparametrisation Let Ω := {r(u, v, w) : (u, v, w) D} (1.23) where D R 3 and r : D Ω is continuously differentiable. This will be particularly uesful, if D is box-shaped: Pfrag replacements D r Ω (u, v, w) r(u, v, w) = (x, y, z) T Example The parametrisation r(ρ, θ, φ) := (ρ sin θ cos φ, ρ sin θ sin φ, ρ cos θ) T maps the (box-shaped) region D = {(ρ, θ, φ) R 3 : 0 ρ a, 0 θ π, 0 φ < 2π } to the ball with radius a. (ρ, θ, φ) are called spherical polar coordinates (ρ... radial distance, θ... polar angle, φ... azimuthal angle). ee handout! DIY eplacements Please study the handouts on spherical and cylindrical polar coordinates until the next lecture. Motivation. Let r(u, v, w + w). OP 0 = r(u, v, w), OP 1 = r(u + u, v, w), OP 2 = r(u, v + v, w), OP 3 = w+ w v+ v r P 3 P 2 V w u u+ u v D P 0 P1 Ω 16
20 For u, v, w sufficiently small V will be approximately a parallelepiped. Recall (MA10006): Pfrag replacements ˆn c b a A V and in the limit as u, v, w 0 ( dv = r u r ) r v w du dv dw (1.24) the so-called volume element. Definition The volume integral of a scalar field f : Ω R over the region Ω R 3 in (1.23) is defined as ( f dv = f(r(u, v, w)) r u r ) r v w du dv dw. (1.25) Ω D 17
21 Note. Definition 1.27 is no contradiction to the change of variables formula which you have learnt in MA10005, since r 1 r 2 r 3 ( r u r ) r u u u v w = det r 1 r 2 r 3 (x, y, z) v v v =: (1.26) (u, v, w) r 1 r 2 r 3 w w w i.e. the Jacobian determinant. [ Proof. (recall MA10006) Remark (a) u, v, w can be regarded as curvilinear coordinates on Ω. (ee the figure at the beginning of ection ) (b) The integral (1.22) ( in artesian coordinates is just a special case with r(x, y, z) = (x, y, z) T, and so r r ) r x y z = 1. (c) The volume of Ω in (1.23) is a special volume integral, i.e. V Ω = Ω dv. Example Redo Example 1.25 using spherical polar coordinates. tep 1. Parametrise (see handout): tep 2. alculate the volume element dv = ( r r ) u v r w du dv dw : 18
22 tep 3. Evaluate Formula (1.25) for the volume integral: 19
Solutions for Review Problems
olutions for Review Problems 1. Let be the triangle with vertices A (,, ), B (4,, 1) and C (,, 1). (a) Find the cosine of the angle BAC at vertex A. (b) Find the area of the triangle ABC. (c) Find a vector
More informationA QUICK GUIDE TO THE FORMULAS OF MULTIVARIABLE CALCULUS
A QUIK GUIDE TO THE FOMULAS OF MULTIVAIABLE ALULUS ontents 1. Analytic Geometry 2 1.1. Definition of a Vector 2 1.2. Scalar Product 2 1.3. Properties of the Scalar Product 2 1.4. Length and Unit Vectors
More informationAB2.5: Surfaces and Surface Integrals. Divergence Theorem of Gauss
AB2.5: urfaces and urface Integrals. Divergence heorem of Gauss epresentations of surfaces or epresentation of a surface as projections on the xy- and xz-planes, etc. are For example, z = f(x, y), x =
More informationFundamental Theorems of Vector Calculus
Fundamental Theorems of Vector Calculus We have studied the techniques for evaluating integrals over curves and surfaces. In the case of integrating over an interval on the real line, we were able to use
More informationSolutions - Homework sections 17.7-17.9
olutions - Homework sections 7.7-7.9 7.7 6. valuate xy d, where is the triangle with vertices (,, ), (,, ), and (,, ). The three points - and therefore the triangle between them - are on the plane x +
More informationSolutions to Practice Problems for Test 4
olutions to Practice Problems for Test 4 1. Let be the line segmentfrom the point (, 1, 1) to the point (,, 3). Evaluate the line integral y ds. Answer: First, we parametrize the line segment from (, 1,
More informationThis makes sense. t 2 1 + 1/t 2 dt = 1. t t 2 + 1dt = 2 du = 1 3 u3/2 u=5
1. (Line integrals Using parametrization. Two types and the flux integral) Formulas: ds = x (t) dt, d x = x (t)dt and d x = T ds since T = x (t)/ x (t). Another one is Nds = T ds ẑ = (dx, dy) ẑ = (dy,
More informationGauss Formulation of the gravitational forces
Chapter 1 Gauss Formulation of the gravitational forces 1.1 ome theoretical background We have seen in class the Newton s formulation of the gravitational law. Often it is interesting to describe a conservative
More informationPractice Final Math 122 Spring 12 Instructor: Jeff Lang
Practice Final Math Spring Instructor: Jeff Lang. Find the limit of the sequence a n = ln (n 5) ln (3n + 8). A) ln ( ) 3 B) ln C) ln ( ) 3 D) does not exist. Find the limit of the sequence a n = (ln n)6
More informationMechanics 1: Conservation of Energy and Momentum
Mechanics : Conservation of Energy and Momentum If a certain quantity associated with a system does not change in time. We say that it is conserved, and the system possesses a conservation law. Conservation
More informationL 2 : x = s + 1, y = s, z = 4s + 4. 3. Suppose that C has coordinates (x, y, z). Then from the vector equality AC = BD, one has
The line L through the points A and B is parallel to the vector AB = 3, 2, and has parametric equations x = 3t + 2, y = 2t +, z = t Therefore, the intersection point of the line with the plane should satisfy:
More informationON CERTAIN DOUBLY INFINITE SYSTEMS OF CURVES ON A SURFACE
i93 c J SYSTEMS OF CURVES 695 ON CERTAIN DOUBLY INFINITE SYSTEMS OF CURVES ON A SURFACE BY C H. ROWE. Introduction. A system of co 2 curves having been given on a surface, let us consider a variable curvilinear
More informationSolutions to Homework 10
Solutions to Homework 1 Section 7., exercise # 1 (b,d): (b) Compute the value of R f dv, where f(x, y) = y/x and R = [1, 3] [, 4]. Solution: Since f is continuous over R, f is integrable over R. Let x
More informationDifferentiation of vectors
Chapter 4 Differentiation of vectors 4.1 Vector-valued functions In the previous chapters we have considered real functions of several (usually two) variables f : D R, where D is a subset of R n, where
More informationM PROOF OF THE DIVERGENCE THEOREM AND STOKES THEOREM
68 Theor Supplement Section M M POOF OF THE DIEGENE THEOEM ND STOKES THEOEM In this section we give proofs of the Divergence Theorem Stokes Theorem using the definitions in artesian coordinates. Proof
More informationLine and surface integrals: Solutions
hapter 5 Line and surface integrals: olutions Example 5.1 Find the work done by the force F(x, y) x 2 i xyj in moving a particle along the curve which runs from (1, ) to (, 1) along the unit circle and
More informationMath 241, Exam 1 Information.
Math 241, Exam 1 Information. 9/24/12, LC 310, 11:15-12:05. Exam 1 will be based on: Sections 12.1-12.5, 14.1-14.3. The corresponding assigned homework problems (see http://www.math.sc.edu/ boylan/sccourses/241fa12/241.html)
More informationFINAL EXAM SOLUTIONS Math 21a, Spring 03
INAL EXAM SOLUIONS Math 21a, Spring 3 Name: Start by printing your name in the above box and check your section in the box to the left. MW1 Ken Chung MW1 Weiyang Qiu MW11 Oliver Knill h1 Mark Lucianovic
More informationSolutions to old Exam 1 problems
Solutions to old Exam 1 problems Hi students! I am putting this old version of my review for the first midterm review, place and time to be announced. Check for updates on the web site as to which sections
More informationGradient, Divergence and Curl in Curvilinear Coordinates
Gradient, Divergence and Curl in Curvilinear Coordinates Although cartesian orthogonal coordinates are very intuitive and easy to use, it is often found more convenient to work with other coordinate systems.
More information88 CHAPTER 2. VECTOR FUNCTIONS. . First, we need to compute T (s). a By definition, r (s) T (s) = 1 a sin s a. sin s a, cos s a
88 CHAPTER. VECTOR FUNCTIONS.4 Curvature.4.1 Definitions and Examples The notion of curvature measures how sharply a curve bends. We would expect the curvature to be 0 for a straight line, to be very small
More informationF = 0. x ψ = y + z (1) y ψ = x + z (2) z ψ = x + y (3)
MATH 255 FINAL NAME: Instructions: You must include all the steps in your derivations/answers. Reduce answers as much as possible, but use exact arithmetic. Write neatly, please, and show all steps. Scientists
More informationLINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1982, 2008. This chapter originates from material used by author at Imperial College, University of London, between 1981 and 1990. It is available free to all individuals,
More informationSome Comments on the Derivative of a Vector with applications to angular momentum and curvature. E. L. Lady (October 18, 2000)
Some Comments on the Derivative of a Vector with applications to angular momentum and curvature E. L. Lady (October 18, 2000) Finding the formula in polar coordinates for the angular momentum of a moving
More information3.1 MAXIMUM, MINIMUM AND INFLECTION POINT & SKETCHING THE GRAPH. In Isaac Newton's day, one of the biggest problems was poor navigation at sea.
BA01 ENGINEERING MATHEMATICS 01 CHAPTER 3 APPLICATION OF DIFFERENTIATION 3.1 MAXIMUM, MINIMUM AND INFLECTION POINT & SKETCHING THE GRAPH Introduction to Applications of Differentiation In Isaac Newton's
More informationMAT 1341: REVIEW II SANGHOON BAEK
MAT 1341: REVIEW II SANGHOON BAEK 1. Projections and Cross Product 1.1. Projections. Definition 1.1. Given a vector u, the rectangular (or perpendicular or orthogonal) components are two vectors u 1 and
More informationChapter 17. Review. 1. Vector Fields (Section 17.1)
hapter 17 Review 1. Vector Fields (Section 17.1) There isn t much I can say in this section. Most of the material has to do with sketching vector fields. Please provide some explanation to support your
More informationLecture L6 - Intrinsic Coordinates
S. Widnall, J. Peraire 16.07 Dynamics Fall 2009 Version 2.0 Lecture L6 - Intrinsic Coordinates In lecture L4, we introduced the position, velocity and acceleration vectors and referred them to a fixed
More informationMath 1B, lecture 5: area and volume
Math B, lecture 5: area and volume Nathan Pflueger 6 September 2 Introduction This lecture and the next will be concerned with the computation of areas of regions in the plane, and volumes of regions in
More informationVector surface area Differentials in an OCS
Calculus and Coordinate systems EE 311 - Lecture 17 1. Calculus and coordinate systems 2. Cartesian system 3. Cylindrical system 4. Spherical system In electromagnetics, we will often need to perform integrals
More informationReview Sheet for Test 1
Review Sheet for Test 1 Math 261-00 2 6 2004 These problems are provided to help you study. The presence of a problem on this handout does not imply that there will be a similar problem on the test. And
More informationCBE 6333, R. Levicky 1 Differential Balance Equations
CBE 6333, R. Levicky 1 Differential Balance Equations We have previously derived integral balances for mass, momentum, and energy for a control volume. The control volume was assumed to be some large object,
More informationMULTIPLE INTEGRALS. h 2 (y) are continuous functions on [c, d] and let f(x, y) be a function defined on R. Then
MULTIPLE INTEGALS 1. ouble Integrals Let be a simple region defined by a x b and g 1 (x) y g 2 (x), where g 1 (x) and g 2 (x) are continuous functions on [a, b] and let f(x, y) be a function defined on.
More informationSection 11.1: Vectors in the Plane. Suggested Problems: 1, 5, 9, 17, 23, 25-37, 40, 42, 44, 45, 47, 50
Section 11.1: Vectors in the Plane Page 779 Suggested Problems: 1, 5, 9, 17, 3, 5-37, 40, 4, 44, 45, 47, 50 Determine whether the following vectors a and b are perpendicular. 5) a = 6, 0, b = 0, 7 Recall
More informationPHY 301: Mathematical Methods I Curvilinear Coordinate System (10-12 Lectures)
PHY 301: Mathematical Methods I Curvilinear Coordinate System (10-12 Lectures) Dr. Alok Kumar Department of Physical Sciences IISER, Bhopal Abstract The Curvilinear co-ordinates are the common name of
More informationReview of Vector Analysis in Cartesian Coordinates
R. evicky, CBE 6333 Review of Vector Analysis in Cartesian Coordinates Scalar: A quantity that has magnitude, but no direction. Examples are mass, temperature, pressure, time, distance, and real numbers.
More informationIf Σ is an oriented surface bounded by a curve C, then the orientation of Σ induces an orientation for C, based on the Right-Hand-Rule.
Oriented Surfaces and Flux Integrals Let be a surface that has a tangent plane at each of its nonboundary points. At such a point on the surface two unit normal vectors exist, and they have opposite directions.
More informationCONSERVATION LAWS. See Figures 2 and 1.
CONSERVATION LAWS 1. Multivariable calculus 1.1. Divergence theorem (of Gauss). This states that the volume integral in of the divergence of the vector-valued function F is equal to the total flux of F
More informationMean value theorem, Taylors Theorem, Maxima and Minima.
MA 001 Preparatory Mathematics I. Complex numbers as ordered pairs. Argand s diagram. Triangle inequality. De Moivre s Theorem. Algebra: Quadratic equations and express-ions. Permutations and Combinations.
More informationVector Calculus Solutions to Sample Final Examination #1
Vector alculus s to Sample Final Examination #1 1. Let f(x, y) e xy sin(x + y). (a) In what direction, starting at (,π/), is f changing the fastest? (b) In what directions starting at (,π/) is f changing
More informationDifferential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation
Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of
More information2 Session Two - Complex Numbers and Vectors
PH2011 Physics 2A Maths Revision - Session 2: Complex Numbers and Vectors 1 2 Session Two - Complex Numbers and Vectors 2.1 What is a Complex Number? The material on complex numbers should be familiar
More informationThe small increase in x is. and the corresponding increase in y is. Therefore
Differentials For a while now, we have been using the notation dy to mean the derivative of y with respect to. Here is any variable, and y is a variable whose value depends on. One of the reasons that
More informationvector calculus 2 Learning outcomes
29 ontents vector calculus 2 1. Line integrals involving vectors 2. Surface and volume integrals 3. Integral vector theorems Learning outcomes In this Workbook you will learn how to integrate functions
More informationLecture L22-2D Rigid Body Dynamics: Work and Energy
J. Peraire, S. Widnall 6.07 Dynamics Fall 008 Version.0 Lecture L - D Rigid Body Dynamics: Work and Energy In this lecture, we will revisit the principle of work and energy introduced in lecture L-3 for
More informationPhysics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus
Chapter 1 Matrices, Vectors, and Vector Calculus In this chapter, we will focus on the mathematical tools required for the course. The main concepts that will be covered are: Coordinate transformations
More informationSection 12.6: Directional Derivatives and the Gradient Vector
Section 26: Directional Derivatives and the Gradient Vector Recall that if f is a differentiable function of x and y and z = f(x, y), then the partial derivatives f x (x, y) and f y (x, y) give the rate
More informationAPPLIED MATHEMATICS ADVANCED LEVEL
APPLIED MATHEMATICS ADVANCED LEVEL INTRODUCTION This syllabus serves to examine candidates knowledge and skills in introductory mathematical and statistical methods, and their applications. For applications
More information3 Contour integrals and Cauchy s Theorem
3 ontour integrals and auchy s Theorem 3. Line integrals of complex functions Our goal here will be to discuss integration of complex functions = u + iv, with particular regard to analytic functions. Of
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More informationRAJALAKSHMI ENGINEERING COLLEGE MA 2161 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS PART A
RAJALAKSHMI ENGINEERING COLLEGE MA 26 UNIT I - ORDINARY DIFFERENTIAL EQUATIONS. Solve (D 2 + D 2)y = 0. 2. Solve (D 2 + 6D + 9)y = 0. PART A 3. Solve (D 4 + 4)x = 0 where D = d dt 4. Find Particular Integral:
More information11.1. Objectives. Component Form of a Vector. Component Form of a Vector. Component Form of a Vector. Vectors and the Geometry of Space
11 Vectors and the Geometry of Space 11.1 Vectors in the Plane Copyright Cengage Learning. All rights reserved. Copyright Cengage Learning. All rights reserved. 2 Objectives! Write the component form of
More informationExam 1 Sample Question SOLUTIONS. y = 2x
Exam Sample Question SOLUTIONS. Eliminate the parameter to find a Cartesian equation for the curve: x e t, y e t. SOLUTION: You might look at the coordinates and notice that If you don t see it, we can
More informationThe Math Circle, Spring 2004
The Math Circle, Spring 2004 (Talks by Gordon Ritter) What is Non-Euclidean Geometry? Most geometries on the plane R 2 are non-euclidean. Let s denote arc length. Then Euclidean geometry arises from the
More informationLinear Algebra Notes for Marsden and Tromba Vector Calculus
Linear Algebra Notes for Marsden and Tromba Vector Calculus n-dimensional Euclidean Space and Matrices Definition of n space As was learned in Math b, a point in Euclidean three space can be thought of
More informationMATH 132: CALCULUS II SYLLABUS
MATH 32: CALCULUS II SYLLABUS Prerequisites: Successful completion of Math 3 (or its equivalent elsewhere). Math 27 is normally not a sufficient prerequisite for Math 32. Required Text: Calculus: Early
More informationMath 21a Curl and Divergence Spring, 2009. 1 Define the operator (pronounced del ) by. = i
Math 21a url and ivergence Spring, 29 1 efine the operator (pronounced del by = i j y k z Notice that the gradient f (or also grad f is just applied to f (a We define the divergence of a vector field F,
More informationMATH 425, PRACTICE FINAL EXAM SOLUTIONS.
MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator
More information6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w.
hapter omplex integration. omplex number quiz. Simplify 3+4i. 2. Simplify 3+4i. 3. Find the cube roots of. 4. Here are some identities for complex conjugate. Which ones need correction? z + w = z + w,
More informationSurface Normals and Tangent Planes
Surface Normals and Tangent Planes Normal and Tangent Planes to Level Surfaces Because the equation of a plane requires a point and a normal vector to the plane, nding the equation of a tangent plane to
More informationParametric Curves. (Com S 477/577 Notes) Yan-Bin Jia. Oct 8, 2015
Parametric Curves (Com S 477/577 Notes) Yan-Bin Jia Oct 8, 2015 1 Introduction A curve in R 2 (or R 3 ) is a differentiable function α : [a,b] R 2 (or R 3 ). The initial point is α[a] and the final point
More informationSection 1.1. Introduction to R n
The Calculus of Functions of Several Variables Section. Introduction to R n Calculus is the study of functional relationships and how related quantities change with each other. In your first exposure to
More information4.2. LINE INTEGRALS 1. 2 2 ; z = t. ; y = sin
4.2. LINE INTEGRALS 1 4.2 Line Integrals MATH 294 FALL 1982 FINAL # 7 294FA82FQ7.tex 4.2.1 Consider the curve given parametrically by x = cos t t ; y = sin 2 2 ; z = t a) Determine the work done by the
More information2008 AP Calculus AB Multiple Choice Exam
008 AP Multiple Choice Eam Name 008 AP Calculus AB Multiple Choice Eam Section No Calculator Active AP Calculus 008 Multiple Choice 008 AP Calculus AB Multiple Choice Eam Section Calculator Active AP Calculus
More information1 Curves, Surfaces, Volumes and their integrals
c FW Math 321, 2007/03/19 (mod. 2012/11/15) Vector alculus Essentials 1 urves, urfaces, Volumes and their integrals 1.1 urves v 0 P Recall the parametric equation of a line: r(t) = r 0 + t v 0, where r(t)
More information1 3 4 = 8i + 20j 13k. x + w. y + w
) Find the point of intersection of the lines x = t +, y = 3t + 4, z = 4t + 5, and x = 6s + 3, y = 5s +, z = 4s + 9, and then find the plane containing these two lines. Solution. Solve the system of equations
More informationLECTURE 2: Stress Conditions at a Fluid-fluid Interface
LETURE 2: tress onditions at a Fluid-fluid Interface We proceed by deriving the normal and tangential stress boundary conditions appropriate at a fluid-fluid interface characterized by an interfacial tension
More informationRARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 251 CALCULUS III
RARITAN VALLEY COMMUNITY COLLEGE ACADEMIC COURSE OUTLINE MATH 251 CALCULUS III I. Basic Course Information A. Course Number and Title: MATH 251 Calculus III B. New or Modified Course: Modified Course C.
More informationDerive 5: The Easiest... Just Got Better!
Liverpool John Moores University, 1-15 July 000 Derive 5: The Easiest... Just Got Better! Michel Beaudin École de Technologie Supérieure, Canada Email; mbeaudin@seg.etsmtl.ca 1. Introduction Engineering
More informationThe Fourth International DERIVE-TI92/89 Conference Liverpool, U.K., 12-15 July 2000. Derive 5: The Easiest... Just Got Better!
The Fourth International DERIVE-TI9/89 Conference Liverpool, U.K., -5 July 000 Derive 5: The Easiest... Just Got Better! Michel Beaudin École de technologie supérieure 00, rue Notre-Dame Ouest Montréal
More information11. Rotation Translational Motion: Rotational Motion:
11. Rotation Translational Motion: Motion of the center of mass of an object from one position to another. All the motion discussed so far belongs to this category, except uniform circular motion. Rotational
More informationNotes on Elastic and Inelastic Collisions
Notes on Elastic and Inelastic Collisions In any collision of 2 bodies, their net momentus conserved. That is, the net momentum vector of the bodies just after the collision is the same as it was just
More information4 More Applications of Definite Integrals: Volumes, arclength and other matters
4 More Applications of Definite Integrals: Volumes, arclength and other matters Volumes of surfaces of revolution 4. Find the volume of a cone whose height h is equal to its base radius r, by using the
More informationPROBLEM SET. Practice Problems for Exam #1. Math 2350, Fall 2004. Sept. 30, 2004 ANSWERS
PROBLEM SET Practice Problems for Exam #1 Math 350, Fall 004 Sept. 30, 004 ANSWERS i Problem 1. The position vector of a particle is given by Rt) = t, t, t 3 ). Find the velocity and acceleration vectors
More informationClass Meeting # 1: Introduction to PDEs
MATH 18.152 COURSE NOTES - CLASS MEETING # 1 18.152 Introduction to PDEs, Fall 2011 Professor: Jared Speck Class Meeting # 1: Introduction to PDEs 1. What is a PDE? We will be studying functions u = u(x
More informationChapter 2. Parameterized Curves in R 3
Chapter 2. Parameterized Curves in R 3 Def. A smooth curve in R 3 is a smooth map σ : (a, b) R 3. For each t (a, b), σ(t) R 3. As t increases from a to b, σ(t) traces out a curve in R 3. In terms of components,
More information(a) We have x = 3 + 2t, y = 2 t, z = 6 so solving for t we get the symmetric equations. x 3 2. = 2 y, z = 6. t 2 2t + 1 = 0,
Name: Solutions to Practice Final. Consider the line r(t) = 3 + t, t, 6. (a) Find symmetric equations for this line. (b) Find the point where the first line r(t) intersects the surface z = x + y. (a) We
More informationLecture L5 - Other Coordinate Systems
S. Widnall, J. Peraire 16.07 Dynamics Fall 008 Version.0 Lecture L5 - Other Coordinate Systems In this lecture, we will look at some other common systems of coordinates. We will present polar coordinates
More informationPhysics Midterm Review Packet January 2010
Physics Midterm Review Packet January 2010 This Packet is a Study Guide, not a replacement for studying from your notes, tests, quizzes, and textbook. Midterm Date: Thursday, January 28 th 8:15-10:15 Room:
More informationPYTHAGOREAN TRIPLES KEITH CONRAD
PYTHAGOREAN TRIPLES KEITH CONRAD 1. Introduction A Pythagorean triple is a triple of positive integers (a, b, c) where a + b = c. Examples include (3, 4, 5), (5, 1, 13), and (8, 15, 17). Below is an ancient
More informationLecture L3 - Vectors, Matrices and Coordinate Transformations
S. Widnall 16.07 Dynamics Fall 2009 Lecture notes based on J. Peraire Version 2.0 Lecture L3 - Vectors, Matrices and Coordinate Transformations By using vectors and defining appropriate operations between
More informationName Class. Date Section. Test Form A Chapter 11. Chapter 11 Test Bank 155
Chapter Test Bank 55 Test Form A Chapter Name Class Date Section. Find a unit vector in the direction of v if v is the vector from P,, 3 to Q,, 0. (a) 3i 3j 3k (b) i j k 3 i 3 j 3 k 3 i 3 j 3 k. Calculate
More information1. First-order Ordinary Differential Equations
Advanced Engineering Mathematics 1. First-order ODEs 1 1. First-order Ordinary Differential Equations 1.1 Basic concept and ideas 1.2 Geometrical meaning of direction fields 1.3 Separable differential
More informationChange of Variables in Double Integrals
Change of Variables in Double Integrals Part : Area of the Image of a egion It is often advantageous to evaluate (x; y) da in a coordinate system other than the xy-coordinate system. In this section, we
More information6 J - vector electric current density (A/m2 )
Determination of Antenna Radiation Fields Using Potential Functions Sources of Antenna Radiation Fields 6 J - vector electric current density (A/m2 ) M - vector magnetic current density (V/m 2 ) Some problems
More informationSolutions to Homework 5
Solutions to Homework 5 1. Let z = f(x, y) be a twice continously differentiable function of x and y. Let x = r cos θ and y = r sin θ be the equations which transform polar coordinates into rectangular
More informationwww.mathsbox.org.uk Displacement (x) Velocity (v) Acceleration (a) x = f(t) differentiate v = dx Acceleration Velocity (v) Displacement x
Mechanics 2 : Revision Notes 1. Kinematics and variable acceleration Displacement (x) Velocity (v) Acceleration (a) x = f(t) differentiate v = dx differentiate a = dv = d2 x dt dt dt 2 Acceleration Velocity
More informationIsaac Newton s (1642-1727) Laws of Motion
Big Picture 1 2.003J/1.053J Dynamics and Control I, Spring 2007 Professor Thomas Peacock 2/7/2007 Lecture 1 Newton s Laws, Cartesian and Polar Coordinates, Dynamics of a Single Particle Big Picture First
More informationLecture 17: Conformal Invariance
Lecture 17: Conformal Invariance Scribe: Yee Lok Wong Department of Mathematics, MIT November 7, 006 1 Eventual Hitting Probability In previous lectures, we studied the following PDE for ρ(x, t x 0 ) that
More informationLimits and Continuity
Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function
More informationDERIVATIVES AS MATRICES; CHAIN RULE
DERIVATIVES AS MATRICES; CHAIN RULE 1. Derivatives of Real-valued Functions Let s first consider functions f : R 2 R. Recall that if the partial derivatives of f exist at the point (x 0, y 0 ), then we
More informationMathematics I, II and III (9465, 9470, and 9475)
Mathematics I, II and III (9465, 9470, and 9475) General Introduction There are two syllabuses, one for Mathematics I and Mathematics II, the other for Mathematics III. The syllabus for Mathematics I and
More informationVector has a magnitude and a direction. Scalar has a magnitude
Vector has a magnitude and a direction Scalar has a magnitude Vector has a magnitude and a direction Scalar has a magnitude a brick on a table Vector has a magnitude and a direction Scalar has a magnitude
More informationChapter 4 One Dimensional Kinematics
Chapter 4 One Dimensional Kinematics 41 Introduction 1 4 Position, Time Interval, Displacement 41 Position 4 Time Interval 43 Displacement 43 Velocity 3 431 Average Velocity 3 433 Instantaneous Velocity
More information2.1 Three Dimensional Curves and Surfaces
. Three Dimensional Curves and Surfaces.. Parametric Equation of a Line An line in two- or three-dimensional space can be uniquel specified b a point on the line and a vector parallel to the line. The
More informationEquations Involving Lines and Planes Standard equations for lines in space
Equations Involving Lines and Planes In this section we will collect various important formulas regarding equations of lines and planes in three dimensional space Reminder regarding notation: any quantity
More informationDetermine whether the following lines intersect, are parallel, or skew. L 1 : x = 6t y = 1 + 9t z = 3t. x = 1 + 2s y = 4 3s z = s
Homework Solutions 5/20 10.5.17 Determine whether the following lines intersect, are parallel, or skew. L 1 : L 2 : x = 6t y = 1 + 9t z = 3t x = 1 + 2s y = 4 3s z = s A vector parallel to L 1 is 6, 9,
More information2.2. Instantaneous Velocity
2.2. Instantaneous Velocity toc Assuming that your are not familiar with the technical aspects of this section, when you think about it, your knowledge of velocity is limited. In terms of your own mathematical
More informationFigure 1.1 Vector A and Vector F
CHAPTER I VECTOR QUANTITIES Quantities are anything which can be measured, and stated with number. Quantities in physics are divided into two types; scalar and vector quantities. Scalar quantities have
More informationEuler - Savary s Formula on Minkowski Geometry
Euler - Saary s Formula on Minkowski Geometry T. Ikawa Dedicated to the Memory of Grigorios TSAGAS (935-003) President of Balkan Society of Geometers (997-003) Abstract We consider a base cure a rolling
More information