Curvilinear Coordinate Systems
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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. -
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. -
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. -
Curvilinear Coordinates
UNM SUPPLEMENTAL BOOK DRAFT June 2004 Curvilinear Analysis in a Euclidean Space Presented in a framework and notation customized for students and professionals who are already familiar with Cartesian analysis in ordinary 3D physical engineering space. Rebecca M. Brannon Written by Rebecca Moss Brannon of Albuquerque NM, USA, in connection with adjunct teaching at the University of New Mexico. This document is the intellectual property of Rebecca Brannon. Copyright is reserved. June 2004 Table of contents PREFACE ................................................................................................................. iv Introduction ............................................................................................................. 1 Vector and Tensor Notation ........................................................................................................... 5 Homogeneous coordinates ............................................................................................................. 10 Curvilinear coordinates .................................................................................................................. 10 Difference between Affine (non-metric) and Metric spaces .......................................................... 11 Dual bases for irregular bases .............................................................................. 11 Modified summation convention ................................................................................................... 15 Important notation -
Appendix a Relations Between Covariant and Contravariant Bases
Appendix A Relations Between Covariant and Contravariant Bases The contravariant basis vector gk of the curvilinear coordinate of uk at the point P is perpendicular to the covariant bases gi and gj, as shown in Fig. A.1.This contravariant basis gk can be defined as or or a gk g  g ¼  ðA:1Þ i j oui ou j where a is the scalar factor; gk is the contravariant basis of the curvilinear coordinate of uk. Multiplying Eq. (A.1) by the covariant basis gk, the scalar factor a results in k k ðgi  gjÞ: gk ¼ aðg : gkÞ¼ad ¼ a ÂÃk ðA:2Þ ) a ¼ðgi  gjÞ : gk gi; gj; gk The scalar triple product of the covariant bases can be written as pffiffiffi a ¼ ½¼ðg1; g2; g3 g1  g2Þ : g3 ¼ g ¼ J ðA:3Þ where Jacobian J is the determinant of the covariant basis tensor G. The direction of the cross product vector in Eq. (A.1) is opposite if the dummy indices are interchanged with each other in Einstein summation convention. Therefore, the Levi-Civita permutation symbols (pseudo-tensor components) can be used in expression of the contravariant basis. ffiffiffi p k k g g ¼ J g ¼ðgi  gjÞ¼Àðgj  giÞ eijkðgi  gjÞ eijkðgi  gjÞ ðA:4Þ ) gk ¼ pffiffiffi ¼ g J where the Levi-Civita permutation symbols are defined by 8 <> þ1ifði; j; kÞ is an even permutation; eijk ¼ > À1ifði; j; kÞ is an odd permutation; : A:5 0ifi ¼ j; or i ¼ k; or j ¼ k ð Þ 1 , e ¼ ði À jÞÁðj À kÞÁðk À iÞ for i; j; k ¼ 1; 2; 3 ijk 2 H. -
Analytical Results Regarding Electrostatic Resonances of Surface Phonon/Plasmon Polaritons: Separation of Variables with a Twist
Analytical results regarding electrostatic resonances of surface phonon/plasmon polaritons: separation of variables with a twist R. C. Voicu1 and T. Sandu1 1Research Centre for Integrated Systems, Nanotechnologies, and Carbon Based Materials, National Institute for Research and Development in Microtechnologies-IMT, 126A, Erou Iancu Nicolae Street, Bucharest, ROMANIA∗ (Dated: February 16, 2017) Abstract The boundary integral equation method ascertains explicit relations between localized surface phonon and plasmon polariton resonances and the eigenvalues of its associated electrostatic opera- tor. We show that group-theoretical analysis of Laplace equation can be used to calculate the full set of eigenvalues and eigenfunctions of the electrostatic operator for shapes and shells described by separable coordinate systems. These results not only unify and generalize many existing studies but also offer the opportunity to expand the study of phenomena like cloaking by anomalous localized resonance. For that reason we calculate the eigenvalues and eigenfunctions of elliptic and circular cylinders. We illustrate the benefits of using the boundary integral equation method to interpret recent experiments involving localized surface phonon polariton resonances and the size scaling of plasmon resonances in graphene nano-disks. Finally, symmetry-based operator analysis can be extended from electrostatic to full-wave regime. Thus, bound states of light in the continuum can be studied for shapes beyond spherical configurations. PACS numbers: 02.20.Sv,02.30.Em,02.30.Uu,41.20.Cv,63.22.-m,78.67.Bf arXiv:1702.04655v1 [cond-mat.mes-hall] 15 Feb 2017 ∗Electronic address: [email protected] 1 I. INTRODUCTION Materials with negative permittivity allow light confinement to sub-diffraction limit and field enhancement at the interface with ordinary dielectrics [1]. -
Computer Facilitated Generalized Coordinate Transformations of Partial Differential Equations with Engineering Applications
Computer Facilitated Generalized Coordinate Transformations of Partial Differential Equations With Engineering Applications A. ELKAMEL,1 F.H. BELLAMINE,1,2 V.R. SUBRAMANIAN3 1Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1 2National Institute of Applied Science and Technology in Tunis, Centre Urbain Nord, B.P. No. 676, 1080 Tunis Cedex, Tunisia 3Department of Chemical Engineering, Tennessee Technological University, Cookeville, Tennessee 38505 Received 16 February 2008; accepted 2 December 2008 ABSTRACT: Partial differential equations (PDEs) play an important role in describing many physical, industrial, and biological processes. Their solutions could be considerably facilitated by using appropriate coordinate transformations. There are many coordinate systems besides the well-known Cartesian, polar, and spherical coordinates. In this article, we illustrate how to make such transformations using Maple. Such a use has the advantage of easing the manipulation and derivation of analytical expressions. We illustrate this by considering a number of engineering problems governed by PDEs in different coordinate systems such as the bipolar, elliptic cylindrical, and prolate spheroidal. In our opinion, the use of Maple or similar computer algebraic systems (e.g. Mathematica, Reduce, etc.) will help researchers and students use uncommon transformations more frequently at the very least for situations where the transformations provide smarter and easier solutions. ß2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 19: 365À376, 2011; View this article online at wileyonlinelibrary.com; DOI 10.1002/cae.20318 Keywords: partial differential equations; symbolic computation; Maple; coordinate transformations INTRODUCTION usual Cartesian, polar, and spherical coordinates. For example, Figure 1 shows two identical pipes imbedded in a concrete slab. -
Conversion of Latitude and Longitude to UTM Coordinates
Paper 410, CCG Annual Report 11 , 2009 (© 2009) Conversion of Latitude and Longitude to UTM Coordinates John G. Manchuk The frame of reference is an important aspect of natural resource modeling. Two principal coordinate systems are encountered in resource analysis: latitude and longitude and universal transverse Mercator or UTM. Operations can also have their own local coordinate system that is defined within a specific lease area; however, these are typically just translated and/or rotated UTM coordinates. This paper reviews some of the basics behind these two coordinate systems and describes a program for conversion. Introduction Map projections are useful for presentation purposes and to simplify calculations of distances, areas, and volumes. In the earth’s coordinate system, which is ellipsoidal, these computations can be cumbersome. The two coordinate systems that are explained here are the ellipsoidal coordinates defining the earth having longitude, latitude, and height axes, and universal transverse Mercator (UTM) coordinates which is a map projection to a cylindrical coordinate system that is discretized into a set of zones, each being an approximate Cartesian system with East and North coordinates. Of course, coordinate systems require a point of reference or datum. Defining latitude and longitude from an ellipsoidal model of the earth is only possible by defining a point of reference on the ellipsoid. For the World Geodetic System of 1984 (WGS 84) defined principally for the global positioning system (GPS), the reference is a series of monitoring stations positioned on the earth with known coordinates. This provides an ellipsoid that fits the earth, or geoid, with minimal error in height between them. -
Geodetic Computations on Triaxial Ellipsoid
International Journal of Mining Science (IJMS) Volume 1, Issue 1, June 2015, PP 25-34 www.arcjournals.org Geodetic Computations on Triaxial Ellipsoid Sebahattin Bektaş Ondokuz Mayis University, Faculty of Engineering, Geomatics Engineering, Samsun, [email protected] Abstract: Rotational ellipsoid generally used in geodetic computations. Triaxial ellipsoid surface although a more general so far has not been used in geodetic applications and , the reason for this is not provided as a practical benefit in the calculations. We think this traditional thoughts ought to be revised again. Today increasing GPS and satellite measurement precision will allow us to determine more realistic earth ellipsoid. Geodetic research has traditionally been motivated by the need to continually improve approximations of physical reality. Several studies have shown that the Earth, other planets, natural satellites,asteroids and comets can be modeled as triaxial ellipsoids. In this paper we study on the computational differences in results,fitting ellipsoid, use of biaxial ellipsoid instead of triaxial elipsoid, and transformation Cartesian ( Geocentric ,Rectangular) coordinates to Geodetic coodinates or vice versa on Triaxial ellipsoid. Keywords: Reference Surface, Triaxial ellipsoid, Coordinate transformation,Cartesian, Geodetic, Ellipsoidal coordinates 1. INTRODUCTION Although Triaxial ellipsoid equation is quite simple and smooth but geodetic computations are quite difficult on the Triaxial ellipsoid. The main reason for this difficulty is the lack of symmetry. Triaxial ellipsoid generally not used in geodetic applications. Rotational ellipsoid (ellipsoid revolution ,biaxial ellipsoid , spheroid) is frequently used in geodetic applications . Triaxial ellipsoid is although a more general surface so far but has not been used in geodetic applications. The reason for this is not provided as a practical benefit in the calculations. -
Tensor Analysis and Curvilinear Coordinates.Pdf
Tensor Analysis and Curvilinear Coordinates Phil Lucht Rimrock Digital Technology, Salt Lake City, Utah 84103 last update: May 19, 2016 Maple code is available upon request. Comments and errata are welcome. The material in this document is copyrighted by the author. The graphics look ratty in Windows Adobe PDF viewers when not scaled up, but look just fine in this excellent freeware viewer: http://www.tracker-software.com/pdf-xchange-products-comparison-chart . The table of contents has live links. Most PDF viewers provide these links as bookmarks on the left. Overview and Summary.........................................................................................................................7 1. The Transformation F: invertibility, coordinate lines, and level surfaces..................................12 Example 1: Polar coordinates (N=2)..................................................................................................13 Example 2: Spherical coordinates (N=3)...........................................................................................14 Cartesian Space and Quasi-Cartesian Space.......................................................................................15 Pictures A,B,C and D..........................................................................................................................16 Coordinate Lines.................................................................................................................................16 Example 1: Polar coordinates, coordinate lines -
Path Integral Discussion for Smorodinsky-Winternitz Potentials: I
best; sq V 0// 8 qw Fw ro DESY 94-018 February 1994 Path Integral Discussion for Smorodinsky-Winternitz Potentials: I. Two- and Three Dimensional Euclidean Space C. Grosche II. Institut hir Theoretische Physik, Universitat Hamburg G. S. Pogosyan, A. N. Sissakian Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia naml\\\\\\\\\\\ Lraanexas. 1\\\l\\ll\\\ smava ISSN 0418-9833 OCR Output OCR OutputDESY 94 - 018 ISSN 0418 - 9833 February 1994 hep-th/9402121 PATH INTEGRAL DISCUSSION FOR SMORODINSKY-WINTERNITZ POTENTIALS: I. TWO- AND THREE DIMENSIONAL EUCLIDEAN SPACE C. Grosche* II. Institut fur Theoretische Physik Universitat Hamburg, Luruper Chaussee 149 22761 Hamburg, Germany G. S. Pog0syan** and A. N. Sissakian* Laboratory of Theoretical Physics Joint Institute for Nuclear Research (Dubna} 141980 Dubna, Moscow Region, Russia Abstract Path integral formulations for the Smorodinsky-Winternitz potentials in two- and three dimensional Euclidean space are presented. We mention all coordinate systems which sep arate the Smorodinsky-Winternitz potentials and state the corresponding path integral for mulations. Whereas in many coordinate systems an explicit path integral formulation is not possible, we list in all soluble cases the path integral evaluations explicitly in terms of the propagators and the spectral expansions into the wave-functions. Supported by Deutsche Forschungsgemeinschaft under contract number GR 1031/2-1. Supported by Heisenberg-Landau program. OCR Output OCR Output1. Introduction. In the study of the Kepler problem and therharmonic oscillator it turns out that they possess properties making them of special interest, for instance, all finite classical trajectories are closed and all energy eigen-values are multiply degenerated. -
A Tensor Operations in Orthogonal Curvilinear Coordinate Systems
A Tensor Operations in Orthogonal Curvilinear Coordinate Systems A.1 Change of Coordinate System The vector and tensor operations we have discussed in the foregoing chapters were performed solely in rectangular coordinate system. It should be pointed out that we were dealing with quantities such as velocity, acceleration, and pressure gradient that are independent of any coordinate system within a certain frame of reference. In this connection it is necessary to distinguish between a coordinate system and a frame of reference. The following example should clarify this distinction. In an absolute frame of reference, the flow velocity vector may be described by the rectangular Cartesian coordinate xi: (A.1) It may also be described by a cylindrical coordinate system, which is a non-Cartesian coordinate system: (A.2) or generally by any other non-Cartesian or curvilinear coordinate ȟi that describes the flow channel geometry: (A.3) By changing the coordinate system, the flow velocity vector will not change. It remains invariant under any transformation of coordinates. This is true for any other quantities such as acceleration, force, pressure or temperature gradient. The concept of invariance, however, is generally no longer valid if we change the frame of reference. For example, if the flow particles leave the absolute frame of reference and enter the relative frame of reference, for example a moving or rotating frame, its velocity will experience a change. In this Chapter, we will pursue the concept of quantity invariance and discuss the fundamentals that are needed for coordinate transformation. A.2 Co- and Contravariant Base Vectors, Metric Coefficients As we saw in the previous chapter, a vector quantity is described in Cartesian coordinate system xi by its components: M.T.