Class: M. Sc. Subject: Mathematical Methods for Physics
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Section 2.6 Cylindrical and Spherical Coordinates
Section 2.6 Cylindrical and Spherical Coordinates A) Review on the Polar Coordinates The polar coordinate system consists of the origin O,the rotating ray or half line from O with unit tick. A point P in the plane can be uniquely described by its distance to the origin r = dist (P, O) and the angle µ, 0 µ < 2¼ : · Y P(x,y) r θ O X We call (r, µ) the polar coordinate of P. Suppose that P has Cartesian (stan- dard rectangular) coordinate (x, y) .Then the relation between two coordinate systems is displayed through the following conversion formula: x = r cos µ Polar Coord. to Cartesian Coord.: y = r sin µ ½ r = x2 + y2 Cartesian Coord. to Polar Coord.: y tan µ = ( p x 0 µ < ¼ if y > 0, 2¼ µ < ¼ if y 0. · · · Note that function tan µ has period ¼, and the principal value for inverse tangent function is ¼ y ¼ < arctan < . ¡ 2 x 2 1 So the angle should be determined by y arctan , if x > 0 xy 8 arctan + ¼, if x < 0 µ = > ¼ x > > , if x = 0, y > 0 < 2 ¼ , if x = 0, y < 0 > ¡ 2 > > Example 6.1. Fin:>d (a) Cartesian Coord. of P whose Polar Coord. is ¼ 2, , and (b) Polar Coord. of Q whose Cartesian Coord. is ( 1, 1) . 3 ¡ ¡ ³ So´l. (a) ¼ x = 2 cos = 1, 3 ¼ y = 2 sin = p3. 3 (b) r = p1 + 1 = p2 1 ¼ ¼ 5¼ tan µ = ¡ = 1 = µ = or µ = + ¼ = . 1 ) 4 4 4 ¡ 5¼ Since ( 1, 1) is in the third quadrant, we choose µ = so ¡ ¡ 4 5¼ p2, is Polar Coord. -
A.7 Orthogonal Curvilinear Coordinates
~NSORS Orthogonal Curvilinear Coordinates 569 )osition ated by converting its components (but not the unit dyads) to spherical coordinates, and 1 r+r', integrating each over the two spherical angles (see Section A.7). The off-diagonal terms in Eq. (A.6-13) vanish, again due to the symmetry. (A.6-6) A.7 ORTHOGONAL CURVILINEAR COORDINATES (A.6-7) Enormous simplificatons are achieved in solving a partial differential equation if all boundaries in the problem correspond to coordinate surfaces, which are surfaces gener (A.6-8) ated by holding one coordinate constant and varying the other two. Accordingly, many special coordinate systems have been devised to solve problems in particular geometries. to func The most useful of these systems are orthogonal; that is, at any point in space the he usual vectors aligned with the three coordinate directions are mutually perpendicular. In gen st calcu eral, the variation of a single coordinate will generate a curve in space, rather than a :lrSe and straight line; hence the term curvilinear. In this section a general discussion of orthogo nal curvilinear systems is given first, and then the relationships for cylindrical and spher ical coordinates are derived as special cases. The presentation here closely follows that in Hildebrand (1976). ial prop Base Vectors ve obtain Let (Ul, U2' U3) represent the three coordinates in a general, curvilinear system, and let (A.6-9) ei be the unit vector that points in the direction of increasing ui• A curve produced by varying U;, with uj (j =1= i) held constant, will be referred to as a "u; curve." Although the base vectors are each of constant (unit) magnitude, the fact that a U; curve is not gener (A.6-1O) ally a straight line means that their direction is variable. -
Arxiv:2012.13347V1 [Physics.Class-Ph] 15 Dec 2020
KPOP E-2020-04 Bra-Ket Representation of the Inertia Tensor U-Rae Kim, Dohyun Kim, and Jungil Lee∗ KPOPE Collaboration, Department of Physics, Korea University, Seoul 02841, Korea (Dated: June 18, 2021) Abstract We employ Dirac's bra-ket notation to define the inertia tensor operator that is independent of the choice of bases or coordinate system. The principal axes and the corresponding principal values for the elliptic plate are determined only based on the geometry. By making use of a general symmetric tensor operator, we develop a method of diagonalization that is convenient and intuitive in determining the eigenvector. We demonstrate that the bra-ket approach greatly simplifies the computation of the inertia tensor with an example of an N-dimensional ellipsoid. The exploitation of the bra-ket notation to compute the inertia tensor in classical mechanics should provide undergraduate students with a strong background necessary to deal with abstract quantum mechanical problems. PACS numbers: 01.40.Fk, 01.55.+b, 45.20.dc, 45.40.Bb Keywords: Classical mechanics, Inertia tensor, Bra-ket notation, Diagonalization, Hyperellipsoid arXiv:2012.13347v1 [physics.class-ph] 15 Dec 2020 ∗Electronic address: [email protected]; Director of the Korea Pragmatist Organization for Physics Educa- tion (KPOP E) 1 I. INTRODUCTION The inertia tensor is one of the essential ingredients in classical mechanics with which one can investigate the rotational properties of rigid-body motion [1]. The symmetric nature of the rank-2 Cartesian tensor guarantees that it is described by three fundamental parameters called the principal moments of inertia Ii, each of which is the moment of inertia along a principal axis. -
Designing Patterns with Polar Equations Using Maple
Designing Patterns with Polar Equations using Maple Somasundaram Velummylum Claflin University Department of Mathematics and Computer Science 400 Magnolia St Orangeburg, South Carolina 29115 U.S.A [email protected] The Cartesian coordinates and polar coordinates can be used to identify a point in two dimensions. The polar coordinate system has a fixed point O called the origin or pole and a directed half –line called the polar axis with end point O. A point P on the plane can be described by the polar coordinates ( r, θ ), where r is the radial distance from the origin and θ is the angle made by OP with the polar axis. Several important types of graphs have equations that are simpler in polar form than in rectangular form. For example, the polar equation of a circle having radius a and centered at the origin is simply r = a. In other words , polar coordinate system is useful in describing two dimensional regions that may be difficult to describe using Cartesian coordinates. For example, graphing the circle x 2 + y 2 = a 2 in Cartesian coordinates requires two functions, one for the upper half and one for the lower half. In polar coordinate system, the same circle has the very simple representation r = a. Maple can be used to create patterns in two dimensions using polar coordinate system. When we try to analyze two dimensional patterns mathematically it will be helpful if we can draw a set of patterns in different colors using the help of technology. To investigate and compare some patterns we will go through some examples of cardioids and rose curves that are drawn using Maple. -
Area and Volume in Curvilinear Coordinates 1 Overview
Area and Volume in curvilinear coordinates 1 Overview There are several reasons why we need to have a way of measuring ares and volumes in general relativity. the gravitational field of a point mass m will be singular at the location of the mass, so we typically compute the field of a mass density; i.e., the mass contained in a unit volume. If we are dealing with the Gauss law of electrodynamics (and there will be a similar law for gravity) then we need to compute the flux through an area. How should areas and volumes be defined in general metrics? Let us start in flat 3-dimensional space with Cartesian coordinates. Consider two vectors V;~ W~ . These vectors describe the sides of a parallelogram, whose area can be written as A~ = V~ × W~ (1) The cross-product has magnitude jA~j = jV~ jjW~ j sin θ (2) and is seen to equal the area of the parallelogram. The direction of the cross product also serves a useful purpose: it gives the normal direction to the area spanned by the vectors. Note that there are two normal directions to the area { pointing above the plane and below the plane { and the `right hand rule' for cross products is a convention that picks out one of these over the other. Thus there is a choice of convention in the choice of normal; we will see this fact again later. The cross product can be written in terms of a determinant 0 x^ y^ z^ 1 V~ × W~ = @ V x V y V z A (3) W x W y W z A determinant is computed by computing a product of numbers, taking one number from each row, while making sure that we also take only one number from each column. -
Curvilinear Coordinate Systems
Appendix A Curvilinear coordinate systems Results in the main text are given in one of the three most frequently used coordinate systems: Cartesian, cylindrical or spherical. Here, we provide the material necessary for formulation of the elasticity problems in an arbitrary curvilinear orthogonal coor- dinate system. We then specify the elasticity equations for four coordinate systems: elliptic cylindrical, bipolar cylindrical, toroidal and ellipsoidal. These coordinate systems (and a number of other, more complex systems) are discussed in detail in the book of Blokh (1964). The elasticity equations in general curvilinear coordinates are given in terms of either tensorial or physical components. Therefore, explanation of the relationship between these components and the necessary background are given in the text to follow. Curvilinear coordinates ~i (i = 1,2,3) can be specified by expressing them ~i = ~i(Xl,X2,X3) in terms of Cartesian coordinates Xi (i = 1,2,3). It is as- sumed that these functions have continuous first partial derivatives and Jacobian J = la~i/axjl =I- 0 everywhere. Surfaces ~i = const (i = 1,2,3) are called coordinate surfaces and pairs of these surfaces intersects along coordinate curves. If the coordinate surfaces intersect at an angle :rr /2, the curvilinear coordinate system is called orthogonal. The usual summation convention (summation over repeated indices from 1 to 3) is assumed, unless noted otherwise. Metric tensor In Cartesian coordinates Xi the square of the distance ds between two neighboring points in space is determined by ds 2 = dxi dXi Since we have ds2 = gkm d~k d~m where functions aXi aXi gkm = a~k a~m constitute components of the metric tensor. -
1.3 Cartesian Tensors a Second-Order Cartesian Tensor Is Defined As A
1.3 Cartesian tensors A second-order Cartesian tensor is defined as a linear combination of dyadic products as, T Tijee i j . (1.3.1) The coefficients Tij are the components of T . A tensor exists independent of any coordinate system. The tensor will have different components in different coordinate systems. The tensor T has components Tij with respect to basis {ei} and components Tij with respect to basis {e i}, i.e., T T e e T e e . (1.3.2) pq p q ij i j From (1.3.2) and (1.2.4.6), Tpq ep eq TpqQipQjqei e j Tij e i e j . (1.3.3) Tij QipQjqTpq . (1.3.4) Similarly from (1.3.2) and (1.2.4.6) Tij e i e j Tij QipQjqep eq Tpqe p eq , (1.3.5) Tpq QipQjqTij . (1.3.6) Equations (1.3.4) and (1.3.6) are the transformation rules for changing second order tensor components under change of basis. In general Cartesian tensors of higher order can be expressed as T T e e ... e , (1.3.7) ij ...n i j n and the components transform according to Tijk ... QipQjqQkr ...Tpqr... , Tpqr ... QipQjqQkr ...Tijk ... (1.3.8) The tensor product S T of a CT(m) S and a CT(n) T is a CT(m+n) such that S T S T e e e e e e . i1i2 im j1j 2 jn i1 i2 im j1 j2 j n 1.3.1 Contraction T Consider the components i1i2 ip iq in of a CT(n). -
Polar Coordinates and Calculus.Wxp
Polar Coordinates and Calculus Recall that in the Polar coordinate system the coordinates ) represent <ß the directed distance from the pole to the point and the directed angle, counterclockwise from the polar axis to the segment from the pole to the point. A polar function would be of the form: ) . < œ 0 To find the slope of the tangent line of a polar graph we will parameterize the equation. ) ( Assume is a differentiable function of ) ) <œ0 0 ¾Bœ<cos))) œ0 cos and Cœ< sin ))) œ0 sin . .C .C .) Recall also that œ .B .B .) 1Þ Find the derivative of < œ # sin ) Remember that horizontal tangent lines occur when and that vertical tangent lines occur when page 1 2 Find the HTL and VTL for cos ) and sketch the graph. Þ < œ # " page 2 Recall our formula for the derivative of a function in polar coordinates. Since Bœ<cos))) œ0 cos and Cœ< sin ))) œ0 sin , we can conclude .C .C .) that œ.B œ .B .) Solutions obtained by setting < œ ! gives equations of tangent lines through the pole. 3Þ Find the equations of the tangent line(s) through the pole if <œ#sin #Þ) page 3 To find the arc length of a polar curve, you have two options. 1) You can use the parametrization of the polar curve: cos))) cos and sin ))) sin Bœ< œ0 Cœ< œ0 then use the arc length formula for parametric curves: " w # w # 'α ÈÐBÐ) ÑÑ ÐCÐ ) ÑÑ . ) or, 2) You can use an alternative formula for arc length in polar form: " <# Ð.< Ñ # . -
Appendix a Orthogonal Curvilinear Coordinates
Appendix A Orthogonal Curvilinear Coordinates Given a symmetry for a system under study, the calculations can be simplified by choosing, instead of a Cartesian coordinate system, another set of coordinates which takes advantage of that symmetry. For example calculations in spherical coordinates result easier for systems with spherical symmetry. In this chapter we will write the general form of the differential operators used in electrodynamics and then give their expressions in spherical and cylindrical coordi- nates.1 A.1 Orthogonal curvilinear coordinates A system of coordinates u1, u2, u3, can be defined so that the Cartesian coordinates x, y and z are known functions of the new coordinates: x = x(u1, u2, u3) y = y(u1, u2, u3) z = z(u1, u2, u3) (A.1) Systems of orthogonal curvilinear coordinates are defined as systems for which locally, nearby each point P(u1, u2, u3), the surfaces u1 = const, u2 = const, u3 = const are mutually orthogonal. An elementary cube, bounded by the surfaces u1 = const, u2 = const, u3 = const, as shown in Fig. A.1, will have its edges with lengths h1du1, h2du2, h3du3 where h1, h2, h3 are in general functions of u1, u2, u3. The length ds of the line- element OG, one diagonal of the cube, in Cartesian coordinates is: ds = (dx)2 + (dy)2 + (dz)2 1The orthogonal coordinates are presented with more details in J.A. Stratton, Electromagnetic The- ory, McGraw-Hill, 1941, where many other useful coordinate systems (elliptic, parabolic, bipolar, spheroidal, paraboloidal, ellipsoidal) are given. © Springer International Publishing Switzerland 2016 189 F. Lacava, Classical Electrodynamics, Undergraduate Lecture Notes in Physics, DOI 10.1007/978-3-319-39474-9 190 Appendix A: Orthogonal Curvilinear Coordinates Fig. -
Tensors (Draft Copy)
TENSORS (DRAFT COPY) LARRY SUSANKA Abstract. The purpose of this note is to define tensors with respect to a fixed finite dimensional real vector space and indicate what is being done when one performs common operations on tensors, such as contraction and raising or lowering indices. We include discussion of relative tensors, inner products, symplectic forms, interior products, Hodge duality and the Hodge star operator and the Grassmann algebra. All of these concepts and constructions are extensions of ideas from linear algebra including certain facts about determinants and matrices, which we use freely. None of them requires additional structure, such as that provided by a differentiable manifold. Sections 2 through 11 provide an introduction to tensors. In sections 12 through 25 we show how to perform routine operations involving tensors. In sections 26 through 28 we explore additional structures related to spaces of alternating tensors. Our aim is modest. We attempt only to create a very structured develop- ment of tensor methods and vocabulary to help bridge the gap between linear algebra and its (relatively) benign notation and the vast world of tensor ap- plications. We (attempt to) define everything carefully and consistently, and this is a concise repository of proofs which otherwise may be spread out over a book (or merely referenced) in the study of an application area. Many of these applications occur in contexts such as solid-state physics or electrodynamics or relativity theory. Each subject area comes equipped with its own challenges: subject-specific vocabulary, traditional notation and other conventions. These often conflict with each other and with modern mathematical practice, and these conflicts are a source of much confusion. -
1 Vectors & Tensors
1 Vectors & Tensors The mathematical modeling of the physical world requires knowledge of quite a few different mathematics subjects, such as Calculus, Differential Equations and Linear Algebra. These topics are usually encountered in fundamental mathematics courses. However, in a more thorough and in-depth treatment of mechanics, it is essential to describe the physical world using the concept of the tensor, and so we begin this book with a comprehensive chapter on the tensor. The chapter is divided into three parts. The first part covers vectors (§1.1-1.7). The second part is concerned with second, and higher-order, tensors (§1.8-1.15). The second part covers much of the same ground as done in the first part, mainly generalizing the vector concepts and expressions to tensors. The final part (§1.16-1.19) (not required in the vast majority of applications) is concerned with generalizing the earlier work to curvilinear coordinate systems. The first part comprises basic vector algebra, such as the dot product and the cross product; the mathematics of how the components of a vector transform between different coordinate systems; the symbolic, index and matrix notations for vectors; the differentiation of vectors, including the gradient, the divergence and the curl; the integration of vectors, including line, double, surface and volume integrals, and the integral theorems. The second part comprises the definition of the tensor (and a re-definition of the vector); dyads and dyadics; the manipulation of tensors; properties of tensors, such as the trace, transpose, norm, determinant and principal values; special tensors, such as the spherical, identity and orthogonal tensors; the transformation of tensor components between different coordinate systems; the calculus of tensors, including the gradient of vectors and higher order tensors and the divergence of higher order tensors and special fourth order tensors. -
Classical Mechanics Lecture Notes POLAR COORDINATES
PHYS 419: Classical Mechanics Lecture Notes POLAR COORDINATES A vector in two dimensions can be written in Cartesian coordinates as r = xx^ + yy^ (1) where x^ and y^ are unit vectors in the direction of Cartesian axes and x and y are the components of the vector, see also the ¯gure. It is often convenient to use coordinate systems other than the Cartesian system, in particular we will often use polar coordinates. These coordinates are speci¯ed by r = jrj and the angle Á between r and x^, see the ¯gure. The relations between the polar and Cartesian coordinates are very simple: x = r cos Á y = r sin Á and p y r = x2 + y2 Á = arctan : x The unit vectors of polar coordinate system are denoted by r^ and Á^. The former one is de¯ned accordingly as r r^ = (2) r Since r = r cos Á x^ + r sin Á y^; r^ = cos Á x^ + sin Á y^: The simplest way to de¯ne Á^ is to require it to be orthogonal to r^, i.e., to have r^ ¢ Á^ = 0. This gives the condition cos ÁÁx + sin ÁÁy = 0: 1 The simplest solution is Áx = ¡ sin Á and Áy = cos Á or a solution with signs reversed. This gives Á^ = ¡ sin Á x^ + cos Á y^: This vector has unit length Á^ ¢ Á^ = sin2 Á + cos2 Á = 1: The unit vectors are marked on the ¯gure. With our choice of sign, Á^ points in the direc- tion of increasing angle Á. Notice that r^ and Á^ are drawn from the position of the point considered.