Surface Integrals

Total Page:16

File Type:pdf, Size:1020Kb

Surface Integrals Surface Integrals Math 240 Scalar integrals Surface area Vector integrals Changing Surface Integrals orientation Math 240 | Calculus III Summer 2013, Session II Wednesday, July 3, 2013 Surface Integrals Agenda Math 240 Scalar integrals Surface area Vector integrals Changing 1. Scalar surface integrals orientation Surface area 2. Vector surface integrals 3. Changing orientation P1: OSO coll50424˙ch07 PEAR591-Colley July 29, 2011 13:58 464 Chapter 7 Surface Integrals and Vector Analysis 3 the cube’s faces by Xi :[0, 1] × [0, 1] → R , i = 1,...,6, where X1(s, t) = (0, s, t); X2(s, t) = (1, s, t); X3(s, t) = (s, 0, t); X4(s, t) = (s, 1, t); X5(s, t) = (s, t, 0); X6(s, t) = (s, t, 1). 1 Each map Xi is clearly of class C and one-one. In addition, the faces have well-defined nonzero normal vectors. For example, for both X1 and X2, N1 = N2 = Ts × Tt = j × k = i. Similarly, N3 = N4 = i × k =−j and N5 = N6 = i × j = k. None of these vectors vanishes. There is no consistent way to define normal vectors along the edges of the cube (where two faces meet). That is why the cube is only piecewise smooth. ◆ Area of a Smooth Parametrized Surface Now, we use the notion of a parametrized surface to calculate the surface area of a = Surface smooth surface. In the discussion that follows, we take S X(D) to be a smooth Integrals parametrized surface, where D is the union ofScalar finitely many surface elementary regions integrals in R2 and X: D → R3 is of class C1 and one-one except possibly along ∂ D. Math 240 t z Scalar integrals S = X(D) Surface area Δt X Vector Δs X s t integrals ( 0, 0) (s , t ) T Changing 0 0 t T orientation s s y x DefinitionFigure 7.13 The image of the s × t rectangle in D is approximately a parallelogram spanned by Ts (s0, t0)s and Tt (s0, t0)t. 2 3 Let X : DThe keyR geometricR observationbe a smooth is as follows: parameterized Consider a small rectangular surface. Let ⊆ ! , ∈ f be asubset continuous of D whose lower scalar left corner function is at the whose point (s0 domaint0) D and includes whose width and height are s and t, respectively. The image of this rectangle under X is a S = Xpiece(D of). the The underlyingscalar surface surfaceS that is approximately integral of thef parallelogramalong X withis a corner at X(s0, t0) and spanned by the vectors Ts(s0, t0)s and Tt (s0, t0)t. (See ZZ ZZ Figure 7.13.) Thef dS area= A of thisf piece(X( iss; t)) T T ds dt ≈ , × , = , s × t, . A X Ts(s0 t0) s TDt (s0 t0) t Ts(ks0 t0) ×Tt (s0 kt0) s t Now, suppose D = [aZZ, b] × [c, d]; that is, suppose D itself is a rectangle. Partition D into n2 subrectangles= f via(X(s; t)) N(s; t) ds dt: D k k a = s0 < s1 < ···< sn = b and c = t0 < t1 < ···< tn = d. Let si = si − si−1 and t j = t j − t j−1 for i, j = 1,...,n. Then S is in turn partitioned into pieces, each of which is approximately a parallelogram, assuming si and t j are small for i, j = 1,...,n.IfAij denotes the area of the piece P1: OSO coll50424˙ch07 PEAR591-Colley July 29, 2011 13:58 Surface Integrals Scalar surface integrals Math 240 472 Chapter 7 Surface Integrals and Vector Analysis Scalar z To define and evaluate scalar surface integrals over piecewise smooth para- Example S : z = 15 integrals 3 metrized surfaces, simply calculate the surface integral over each smooth piece Surface area Let S be the closed cylinder of radius 3 with and add the results. Vector EXAMPLE 2 Let S be the closed cylinder of radius 3 with axis along the z-axis, integrals axis along the z-axis, top face at z = 15, and top face at z = 15, and bottom face at z = 0, as shown in Figure 7.15. Then S S x2 + y2 = 1: 9 is a piecewise smooth surface; it is the union of the three smooth parametrized Changing bottom face at z = 0. Let's calculate RR z dS. orientation S surfaces S1, S2, and S3 described next. We calculate S zdS. The three smooth pieces may be parametrized as follows: Denote the lateral cylindrical face of S by S1 ⎧ y ⎨x = 3 cos s S : z = 0 = ≤ ≤ π ≤ ≤ and the bottom and top faces by S2 and S3, x 2 S1 (lateral cylindrical surface): ⎩y 3 sin s 0 s 2 ,0 t 15, z = t respectively. Figure 7.15 The closed ⎧ cylinder of radius 3 and ⎨x = s cos t height 15 of Example 2. = ≤ ≤ ≤ ≤ π We compute S2 (bottom disk): ⎩y s sin t 0 s 3, 0 t 2 , z = 0 ZZ ZZ ZZ and z dS = 675π; z dS = 0; and z dS = 135π: ⎧ S S S ⎨x = s cos t 1 2 3 = ≤ ≤ ≤ ≤ π S3 (top disk): ⎩y s sin t 0 s 3, 0 t 2 . Therefore, z = 15 Using Definition 2.1, we have ZZ ZZ ZZ ZZ 15 2π z dS = z dS + z dS + z dS = 810π: zdS= t (−3 sin s i + 3 cos s j) × k ds dt S1 0 0 S S1 S2 S3 15 2π = t 3 sin s j + 3 cos s i ds dt 0 0 15 2π 15 = = π = π 215 = π. 3tdsdt 6 tdt 3 t 0 675 0 0 0 Now, zdS= 0, since z vanishes along the bottom of S.ForS3,wehave S2 zdS= 15 dS = 15 · 1 dS S3 S3 S3 = 15 · area of disk = 15 · (9π) = 135π. Therefore, zdS= zdS+ zdS+ zdS S S1 S2 S3 ◆ = 675π + 0 + 135π = 810π. If a surface S is given by the graph of z = g(x, y), where g is of class C1 on some region D in R2, then S is parametrized by X(x, y) = (x, y, g(x, y)) with (x, y) ∈ D. (See Example 4 of 7.1.) Then, from Example 13 in 7.1, § § N(x, y) =−gx i − gy j + k, so that = , , , 2 + 2 + . fdS f (x y g(x y)) gx gy 1 dx dy (4) X D P1: OSO coll50424˙ch07 PEAR591-Colley July 29, 2011 13:58 464 Chapter 7 Surface Integrals and Vector Analysis 3 the cube’s faces by Xi :[0, 1] × [0, 1] → R , i = 1,...,6, where X1(s, t) = (0, s, t); X2(s, t) = (1, s, t); X3(s, t) = (s, 0, t); X4(s, t) = (s, 1, t); X5(s, t) = (s, t, 0); X6(s, t) = (s, t, 1). 1 Each map Xi is clearly of class C and one-one. In addition, the faces have well-defined nonzero normal vectors. For example, for both X1 and X2, N1 = N2 = Ts × Tt = j × k = i. Similarly, N3 = N4 = i × k =−j and N5 = N6 = i × j = k. None of these vectors vanishes. There is no consistent way to define normal vectors along the edges of the cube (where two faces meet). That is why the cube is only piecewise smooth. ◆ Area of a Smooth Parametrized Surface Now, we use the notion of a parametrized surface to calculate the surface area of a = Surface smooth surface. In the discussion that follows, we take S X(D) to be a smooth Integrals parametrized surface, where D is the union of finitely many elementarySurface regions area in R2 and X: D → R3 is of class C1 and one-one except possibly along ∂ D. Math 240 t z Scalar integrals S = X(D) Surface area Δt X Vector Δs integrals X s t Figure:( 0, 0)The quantity (s , t ) T Changing 0 0 t Ts Tt is the orientation Ts s areak × of thek gray square on they right. x Figure 7.13 The image of the s × t rectangle in D is approximately a parallelogram spanned by Ts (s0, t0)s and Tt (s0, t0)t. Fact The key geometric observation is as follows: Consider a small rectangular , ∈ 2 3 If S issubset a smooth of D whose surface lower left parameterizedcorner is at the point ( bys0 t0X) :DDand whoseR widthR and height are s and t, respectively. The image of this rectangle⊆ under X!is a then thepiece surface of the underlying area surface of S Sisthat given is approximately by the parallelogram with a corner at X(s0, t0) and spanned by the vectors Ts(s0, t0)s and Tt (s0, t0)t. (See FigureZZ 7.13.) The area A ofZZ this piece is ZZ ≈ N ds, dt=× , Ts = Tt ds, dt× = , 1dS:. DAk kTs(s0 t0) s Tt (sD0 kt0) t × Ts(ks0 t0) Tt (s0 t0) Xs t Now, suppose D = [a, b] × [c, d]; that is, suppose D itself is a rectangle. Partition D into n2 subrectangles via a = s0 < s1 < ···< sn = b and c = t0 < t1 < ···< tn = d. Let si = si − si−1 and t j = t j − t j−1 for i, j = 1,...,n. Then S is in turn partitioned into pieces, each of which is approximately a parallelogram, assuming si and t j are small for i, j = 1,...,n.IfAij denotes the area of the piece Surface Integrals Surface area Math 240 Scalar integrals Example Surface area Recall our parameterization of a sphere: Vector integrals X(s; t) = r(cos s)(sin t) i + r(sin s)(sin t) j + r(cos t) k: Changing orientation We calculate Ts = r sin s sin t i + r cos s sin t j; − Tt = r cos s cos t i + r sin s cos t j r sin t k; − N = r2 cos s sin2 t i r2 sin s sin2 t j r2 sin t cos t k; − − − and N = r2 sin t: k k Therefore, the surface area of the sphere is Z π Z 2π Z π r2 sin t ds dt = 2πr2 sin t dt = 4πr2: 0 0 0 Surface Integrals Vector surface integrals Math 240 Scalar integrals Surface area Vector Definition integrals 2 3 Let X : D R R be a smooth parameterized surface.
Recommended publications
  • Line, Surface and Volume Integrals
    Line, Surface and Volume Integrals 1 Line integrals Z Z Z Á dr; a ¢ dr; a £ dr (1) C C C (Á is a scalar ¯eld and a is a vector ¯eld) We divide the path C joining the points A and B into N small line elements ¢rp, p = 1;:::;N. If (xp; yp; zp) is any point on the line element ¢rp, then the second type of line integral in Eq. (1) is de¯ned as Z XN a ¢ dr = lim a(xp; yp; zp) ¢ rp N!1 C p=1 where it is assumed that all j¢rpj ! 0 as N ! 1. 2 Evaluating line integrals The ¯rst type of line integral in Eq. (1) can be written as Z Z Z Á dr = i Á(x; y; z) dx + j Á(x; y; z) dy C CZ C +k Á(x; y; z) dz C The three integrals on the RHS are ordinary scalar integrals. The second and third line integrals in Eq. (1) can also be reduced to a set of scalar integrals by writing the vector ¯eld a in terms of its Cartesian components as a = axi + ayj + azk. Thus, Z Z a ¢ dr = (axi + ayj + azk) ¢ (dxi + dyj + dzk) C ZC = (axdx + aydy + azdz) ZC Z Z = axdx + aydy + azdz C C C 3 Some useful properties about line integrals: 1. Reversing the path of integration changes the sign of the integral. That is, Z B Z A a ¢ dr = ¡ a ¢ dr A B 2. If the path of integration is subdivided into smaller segments, then the sum of the separate line integrals along each segment is equal to the line integral along the whole path.
    [Show full text]
  • Chapter 8 Change of Variables, Parametrizations, Surface Integrals
    Chapter 8 Change of Variables, Parametrizations, Surface Integrals x0. The transformation formula In evaluating any integral, if the integral depends on an auxiliary function of the variables involved, it is often a good idea to change variables and try to simplify the integral. The formula which allows one to pass from the original integral to the new one is called the transformation formula (or change of variables formula). It should be noted that certain conditions need to be met before one can achieve this, and we begin by reviewing the one variable situation. Let D be an open interval, say (a; b); in R , and let ' : D! R be a 1-1 , C1 mapping (function) such that '0 6= 0 on D: Put D¤ = '(D): By the hypothesis on '; it's either increasing or decreasing everywhere on D: In the former case D¤ = ('(a);'(b)); and in the latter case, D¤ = ('(b);'(a)): Now suppose we have to evaluate the integral Zb I = f('(u))'0(u) du; a for a nice function f: Now put x = '(u); so that dx = '0(u) du: This change of variable allows us to express the integral as Z'(b) Z I = f(x) dx = sgn('0) f(x) dx; '(a) D¤ where sgn('0) denotes the sign of '0 on D: We then get the transformation formula Z Z f('(u))j'0(u)j du = f(x) dx D D¤ This generalizes to higher dimensions as follows: Theorem Let D be a bounded open set in Rn;' : D! Rn a C1, 1-1 mapping whose Jacobian determinant det(D') is everywhere non-vanishing on D; D¤ = '(D); and f an integrable function on D¤: Then we have the transformation formula Z Z Z Z ¢ ¢ ¢ f('(u))j det D'(u)j du1::: dun = ¢ ¢ ¢ f(x) dx1::: dxn: D D¤ 1 Of course, when n = 1; det D'(u) is simply '0(u); and we recover the old formula.
    [Show full text]
  • An Introduction to Space–Time Exterior Calculus
    mathematics Article An Introduction to Space–Time Exterior Calculus Ivano Colombaro * , Josep Font-Segura and Alfonso Martinez Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain; [email protected] (J.F.-S.); [email protected] (A.M.) * Correspondence: [email protected]; Tel.: +34-93-542-1496 Received: 21 May 2019; Accepted: 18 June 2019; Published: 21 June 2019 Abstract: The basic concepts of exterior calculus for space–time multivectors are presented: Interior and exterior products, interior and exterior derivatives, oriented integrals over hypersurfaces, circulation and flux of multivector fields. Two Stokes theorems relating the exterior and interior derivatives with circulation and flux, respectively, are derived. As an application, it is shown how the exterior-calculus space–time formulation of the electromagnetic Maxwell equations and Lorentz force recovers the standard vector-calculus formulations, in both differential and integral forms. Keywords: exterior calculus; exterior algebra; electromagnetism; Maxwell equations; differential forms; tensor calculus 1. Introduction Vector calculus has, since its introduction by J. W. Gibbs [1] and Heaviside, been the tool of choice to represent many physical phenomena. In mechanics, hydrodynamics and electromagnetism, quantities such as forces, velocities and currents are modeled as vector fields in space, while flux, circulation, divergence or curl describe operations on the vector fields themselves. With relativity theory, it was observed that space and time are not independent but just coordinates in space–time [2] (pp. 111–120). Tensors like the Faraday tensor in electromagnetism were quickly adopted as a natural representation of fields in space–time [3] (pp. 135–144). In parallel, mathematicians such as Cartan generalized the fundamental theorems of vector calculus, i.e., Gauss, Green, and Stokes, by means of differential forms [4].
    [Show full text]
  • Surface Integrals
    VECTOR CALCULUS 16.7 Surface Integrals In this section, we will learn about: Integration of different types of surfaces. PARAMETRIC SURFACES Suppose a surface S has a vector equation r(u, v) = x(u, v) i + y(u, v) j + z(u, v) k (u, v) D PARAMETRIC SURFACES •We first assume that the parameter domain D is a rectangle and we divide it into subrectangles Rij with dimensions ∆u and ∆v. •Then, the surface S is divided into corresponding patches Sij. •We evaluate f at a point Pij* in each patch, multiply by the area ∆Sij of the patch, and form the Riemann sum mn * f() Pij S ij ij11 SURFACE INTEGRAL Equation 1 Then, we take the limit as the number of patches increases and define the surface integral of f over the surface S as: mn * f( x , y , z ) dS lim f ( Pij ) S ij mn, S ij11 . Analogues to: The definition of a line integral (Definition 2 in Section 16.2);The definition of a double integral (Definition 5 in Section 15.1) . To evaluate the surface integral in Equation 1, we approximate the patch area ∆Sij by the area of an approximating parallelogram in the tangent plane. SURFACE INTEGRALS In our discussion of surface area in Section 16.6, we made the approximation ∆Sij ≈ |ru x rv| ∆u ∆v where: x y z x y z ruv i j k r i j k u u u v v v are the tangent vectors at a corner of Sij. SURFACE INTEGRALS Formula 2 If the components are continuous and ru and rv are nonzero and nonparallel in the interior of D, it can be shown from Definition 1—even when D is not a rectangle—that: fxyzdS(,,) f ((,))|r uv r r | dA uv SD SURFACE INTEGRALS This should be compared with the formula for a line integral: b fxyzds(,,) f (())|'()|rr t tdt Ca Observe also that: 1dS |rr | dA A ( S ) uv SD SURFACE INTEGRALS Example 1 Compute the surface integral x2 dS , where S is the unit sphere S x2 + y2 + z2 = 1.
    [Show full text]
  • Arxiv:2109.03250V1 [Astro-Ph.EP] 7 Sep 2021 by TESS
    Draft version September 9, 2021 Typeset using LATEX modern style in AASTeX62 Efficient and precise transit light curves for rapidly-rotating, oblate stars Shashank Dholakia,1 Rodrigo Luger,2 and Shishir Dholakia1 1Department of Astronomy, University of California, Berkeley, CA 2Center for Computational Astrophysics, Flatiron Institute, New York, NY Submitted to ApJ ABSTRACT We derive solutions to transit light curves of exoplanets orbiting rapidly-rotating stars. These stars exhibit significant oblateness and gravity darkening, a phenomenon where the poles of the star have a higher temperature and luminosity than the equator. Light curves for exoplanets transiting these stars can exhibit deviations from those of slowly-rotating stars, even displaying significantly asymmetric transits depending on the system’s spin-orbit angle. As such, these phenomena can be used as a protractor to measure the spin-orbit alignment of the system. In this paper, we introduce a novel semi-analytic method for generating model light curves for gravity-darkened and oblate stars with transiting exoplanets. We implement the model within the code package starry and demonstrate several orders of magnitude improvement in speed and precision over existing methods. We test the model on a TESS light curve of WASP-33, whose host star displays rapid rotation (v sin i∗ = 86:4 km/s). We subtract the host’s δ-Scuti pulsations from the light curve, finding an asymmetric transit characteristic of gravity darkening. We find the projected spin orbit angle is consistent with Doppler +19:0 ◦ tomography and constrain the true spin-orbit angle of the system as ' = 108:3−15:4 .
    [Show full text]
  • Vector Calculus and Differential Forms with Applications To
    Vector Calculus and Differential Forms with Applications to Electromagnetism Sean Roberson May 7, 2015 PREFACE This paper is written as a final project for a course in vector analysis, taught at Texas A&M University - San Antonio in the spring of 2015 as an independent study course. Students in mathematics, physics, engineering, and the sciences usually go through a sequence of three calculus courses before go- ing on to differential equations, real analysis, and linear algebra. In the third course, traditionally reserved for multivariable calculus, stu- dents usually learn how to differentiate functions of several variable and integrate over general domains in space. Very rarely, as was my case, will professors have time to cover the important integral theo- rems using vector functions: Green’s Theorem, Stokes’ Theorem, etc. In some universities, such as UCSD and Cornell, honors students are able to take an accelerated calculus sequence using the text Vector Cal- culus, Linear Algebra, and Differential Forms by John Hamal Hubbard and Barbara Burke Hubbard. Here, students learn multivariable cal- culus using linear algebra and real analysis, and then they generalize familiar integral theorems using the language of differential forms. This paper was written over the course of one semester, where the majority of the book was covered. Some details, such as orientation of manifolds, topology, and the foundation of the integral were skipped to save length. The paper should still be readable by a student with at least three semesters of calculus, one course in linear algebra, and one course in real analysis - all at the undergraduate level.
    [Show full text]
  • Surface Integrals
    V9. Surface Integrals Surface integrals are a natural generalization of line integrals: instead of integrating over a curve, we integrate over a surface in 3-space. Such integrals are important in any of the subjects that deal with continuous media (solids, fluids, gases), as well as subjects that deal with force fields, like electromagnetic or gravitational fields. Though most of our work will be spent seeing how surface integrals can be calculated and what they are used for, we first want to indicate briefly how they are defined. The surface integral of the (continuous) function f(x,y,z) over the surface S is denoted by (1) f(x,y,z) dS . ZZS You can think of dS as the area of an infinitesimal piece of the surface S. To define the integral (1), we subdivide the surface S into small pieces having area ∆Si, pick a point (xi,yi,zi) in the i-th piece, and form the Riemann sum (2) f(xi,yi,zi)∆Si . X As the subdivision of S gets finer and finer, the corresponding sums (2) approach a limit which does not depend on the choice of the points or how the surface was subdivided. The surface integral (1) is defined to be this limit. (The surface has to be smooth and not infinite in extent, and the subdivisions have to be made reasonably, otherwise the limit may not exist, or it may not be unique.) 1. The surface integral for flux. The most important type of surface integral is the one which calculates the flux of a vector field across S.
    [Show full text]
  • Surface Integrals, Stokes's Theorem and Gauss's Theorem
    Surface Integrals, Stokes's Theorem and Gauss's Theorem Specifying a surface: ² Parametric form: X(s; t) = (x(s; t); y(s; t); z(s; t)) in some region D in R2. ² Explicit function: z = g(x; y) where g is a function in some region D in R2. ² Implicit function: g(x; y; z) = 0, for some function g of three variables. Normal vector and unit normal vector: Normal vectors and unit normal vectors to a surface play an important role in surface integrals. Here are some ways to obtain these vectors. ² Geometric reasoning. For surfaces of simple shape (e.g., planes or spherical surfaces), the easiest way to get normal vectors is by geometric arguments. For example, if the surface is spherical and centered at the origin, then x is a normal vector. If the surface is horizontal or vertical, one can take one of the unit basis vectors (or its negative) as normal vectors. Such geometric reasoning requires virtually no calculation, and is usually the quickest way to evaluate a surface integral in situations where it can be applied. ² Surfaces given by an equation g(x; y; z) = 0. In this case, the gradient of g, rg, is normal to the surface. Normalizing this vector, we get a unit normal vector, n = rg=krgk. Similarly, if the surface is given by an equation z = g(x; y), the vector (gx; gy; 1) is normal to the surface. ² Surfaces given by a parametric representation X(s; t). In this case, the vector N = Ts£ Tt is a normal vector, called the standard normal vector of the given parametrization.
    [Show full text]
  • Stokes' Theorem
    V13.3 Stokes’ Theorem 3. Proof of Stokes’ Theorem. We will prove Stokes’ theorem for a vector field of the form P (x, y, z) k . That is, we will show, with the usual notations, (3) P (x, y, z) dz = curl (P k ) · n dS . � C � �S We assume S is given as the graph of z = f(x, y) over a region R of the xy-plane; we let C be the boundary of S, and C ′ the boundary of R. We take n on S to be pointing generally upwards, so that |n · k | = n · k . To prove (3), we turn the left side into a line integral around C ′, and the right side into a double integral over R, both in the xy-plane. Then we show that these two integrals are equal by Green’s theorem. To calculate the line integrals around C and C ′, we parametrize these curves. Let ′ C : x = x(t), y = y(t), t0 ≤ t ≤ t1 be a parametrization of the curve C ′ in the xy-plane; then C : x = x(t), y = y(t), z = f(x(t), y(t)), t0 ≤ t ≤ t1 gives a corresponding parametrization of the space curve C lying over it, since C lies on the surface z = f(x, y). Attacking the line integral first, we claim that (4) P (x, y, z) dz = P (x, y, f(x, y))(fxdx + fydy) . � C � C′ This looks reasonable purely formally, since we get the right side by substituting into the left side the expressions for z and dz in terms of x and y: z = f(x, y), dz = fxdx + fydy.
    [Show full text]
  • Generalized Stokes' Theorem
    Chapter 4 Generalized Stokes’ Theorem “It is very difficult for us, placed as we have been from earliest childhood in a condition of training, to say what would have been our feelings had such training never taken place.” Sir George Stokes, 1st Baronet 4.1. Manifolds with Boundary We have seen in the Chapter 3 that Green’s, Stokes’ and Divergence Theorem in Multivariable Calculus can be unified together using the language of differential forms. In this chapter, we will generalize Stokes’ Theorem to higher dimensional and abstract manifolds. These classic theorems and their generalizations concern about an integral over a manifold with an integral over its boundary. In this section, we will first rigorously define the notion of a boundary for abstract manifolds. Heuristically, an interior point of a manifold locally looks like a ball in Euclidean space, whereas a boundary point locally looks like an upper-half space. n 4.1.1. Smooth Functions on Upper-Half Spaces. From now on, we denote R+ := n n f(u1, ... , un) 2 R : un ≥ 0g which is the upper-half space of R . Under the subspace n n n topology, we say a subset V ⊂ R+ is open in R+ if there exists a set Ve ⊂ R open in n n n R such that V = Ve \ R+. It is intuitively clear that if V ⊂ R+ is disjoint from the n n n subspace fun = 0g of R , then V is open in R+ if and only if V is open in R . n n Now consider a set V ⊂ R+ which is open in R+ and that V \ fun = 0g 6= Æ.
    [Show full text]
  • May 1, 2019 LECTURE 25
    May 1, 2019 LECTURE 25: DIFFERENTIAL FORMS. 110.211 HONORS MULTIVARIABLE CALCULUS PROFESSOR RICHARD BROWN Synopsis. A continuation of the last three lectures on differential forms and their structure. P n 25.1. More notation. For ! = Fi1i2···im dxi1 ^· · ·^ dxim a differential m-form on M ⊂ R , n ≥ m, X ! = ··· Fi1i2···im dxi1 ^ · · · ^ dxim ; ˆM ˆ ˆM | {z } n-integrals where M is an m-dimensional region in Rn. Note that the order of the form and the dimension of the region integrated over will agree. Definition 25.1. Let f : D ⊂ Rn ! R be a C1-function. Then the exterior derivative of f, denoted df, is the 1-form @f @f df = dx1 + ::: + dxn = Df(x) dx = rf • dx: @x1 @xn P For ! = Fi1i2···im dxi1 ^ · · · ^ dxim a differential m-form, the differential (m + 1)-form X d! = d(Fi1i2···im ) ^ dxi1 ^ · · · ^ dxim is called the exterior derivative of !. Some notes: • We call a C1-function f : D ⊂ Rn ! R a (differential) 0-form. Thus the exterior derivative of a function is simply its differential, a 1-form. Thus theexterior derivative of any differential m-form is always an (m + 1)-form. • For each set of indices, the term d(Fi1i2···im ) is the standard differential of a function, and is a 1-form. Upon writing it out, one must then address any and all simplifications and cancellations, which can be many. Example 25.1. Let ! = x2y dx − x dy be a C1 1-form on R2. Then d! = d(x2y) ^ dx − d(x) ^ dy = (2xy dx + x2 dy) ^ dx − (1 dx − 0 dy) ^ dy = 2xy dx ^ dx + x2 dy ^ dx − dx ^ dy = −(1 + x2) dx ^ dy: So what is d(d!) = d2!? (Hint: Is it possible to have a 3-form on the plane?) Here d(d!) = d(−(1 + x2)) dx ^ dy = −2x dx ^ dx ^ dy = 0: (Why?) 1 2 110.211 HONORS MULTIVARIABLE CALCULUS PROFESSOR RICHARD BROWN Example 25.2.
    [Show full text]
  • VISUALIZING EXTERIOR CALCULUS Contents Introduction 1 1. Exterior
    VISUALIZING EXTERIOR CALCULUS GREGORY BIXLER Abstract. Exterior calculus, broadly, is the structure of differential forms. These are usually presented algebraically, or as computational tools to simplify Stokes' Theorem. But geometric objects like forms should be visualized! Here, I present visualizations of forms that attempt to capture their geometry. Contents Introduction 1 1. Exterior algebra 2 1.1. Vectors and dual vectors 2 1.2. The wedge of two vectors 3 1.3. Defining the exterior algebra 4 1.4. The wedge of two dual vectors 5 1.5. R3 has no mixed wedges 6 1.6. Interior multiplication 7 2. Integration 8 2.1. Differential forms 9 2.2. Visualizing differential forms 9 2.3. Integrating differential forms over manifolds 9 3. Differentiation 11 3.1. Exterior Derivative 11 3.2. Visualizing the exterior derivative 13 3.3. Closed and exact forms 14 3.4. Future work: Lie derivative 15 Acknowledgments 16 References 16 Introduction What's the natural way to integrate over a smooth manifold? Well, a k-dimensional manifold is (locally) parametrized by k coordinate functions. At each point we get k tangent vectors, which together form an infinitesimal k-dimensional volume ele- ment. And how should we measure this element? It seems reasonable to ask for a function f taking k vectors, so that • f is linear in each vector • f is zero for degenerate elements (i.e. when vectors are linearly dependent) • f is smooth These are the properties of a differential form. 1 2 GREGORY BIXLER Introducing structure to a manifold usually follows a certain pattern: • Create it in Rn.
    [Show full text]