Electric Flux Density, Gauss's Law, and Divergence
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General Relativity Fall 2018 Lecture 10: Integration, Einstein-Hilbert Action
General Relativity Fall 2018 Lecture 10: Integration, Einstein-Hilbert action Yacine Ali-Ha¨ımoud (Dated: October 3, 2018) σ σ HW comment: T µν antisym in µν does NOT imply that Tµν is antisym in µν. Volume element { Consider a LICS with primed coordinates. The 4-volume element is dV = d4x0 = 0 0 0 0 dx0 dx1 dx2 dx3 . If we change coordinates, we have 0 ! @xµ d4x0 = det d4x: (1) µ @x Now, the metric components change as 0 0 0 0 @xµ @xν @xµ @xν g = g 0 0 = η 0 0 ; (2) µν @xµ @xν µ ν @xµ @xν µ ν since the metric components are ηµ0ν0 in the LICS. Seing this as a matrix operation and taking the determinant, we find 0 !2 @xµ det(g ) = − det : (3) µν @xµ Hence, we find that the 4-volume element is q 4 p 4 p 4 dV = − det(gµν )d x ≡ −g d x ≡ jgj d x: (4) The integral of a scalar function f is well defined: given any coordinate system (even if only defined locally): Z Z f dV = f pjgj d4x: (5) We can only define the integral of a scalar function. The integral of a vector or tensor field is mean- ingless in curved spacetime. Think of the integral as a sum. To sum vectors, you need them to belong to the same vector space. There is no common vector space in curved spacetime. Only in flat spacetime can we define such integrals. First parallel-transport the vector field to a single point of spacetime (it doesn't matter which one). -
Vector Calculus and Multiple Integrals Rob Fender, HT 2018
Vector Calculus and Multiple Integrals Rob Fender, HT 2018 COURSE SYNOPSIS, RECOMMENDED BOOKS Course syllabus (on which exams are based): Double integrals and their evaluation by repeated integration in Cartesian, plane polar and other specified coordinate systems. Jacobians. Line, surface and volume integrals, evaluation by change of variables (Cartesian, plane polar, spherical polar coordinates and cylindrical coordinates only unless the transformation to be used is specified). Integrals around closed curves and exact differentials. Scalar and vector fields. The operations of grad, div and curl and understanding and use of identities involving these. The statements of the theorems of Gauss and Stokes with simple applications. Conservative fields. Recommended Books: Mathematical Methods for Physics and Engineering (Riley, Hobson and Bence) This book is lazily referred to as “Riley” throughout these notes (sorry, Drs H and B) You will all have this book, and it covers all of the maths of this course. However it is rather terse at times and you will benefit from looking at one or both of these: Introduction to Electrodynamics (Griffiths) You will buy this next year if you haven’t already, and the chapter on vector calculus is very clear Div grad curl and all that (Schey) A nice discussion of the subject, although topics are ordered differently to most courses NB: the latest version of this book uses the opposite convention to polar coordinates to this course (and indeed most of physics), but older versions can often be found in libraries 1 Week One A review of vectors, rotation of coordinate systems, vector vs scalar fields, integrals in more than one variable, first steps in vector differentiation, the Frenet-Serret coordinate system Lecture 1 Vectors A vector has direction and magnitude and is written in these notes in bold e.g. -
Mathematical Theorems
Appendix A Mathematical Theorems The mathematical theorems needed in order to derive the governing model equations are defined in this appendix. A.1 Transport Theorem for a Single Phase Region The transport theorem is employed deriving the conservation equations in continuum mechanics. The mathematical statement is sometimes attributed to, or named in honor of, the German Mathematician Gottfried Wilhelm Leibnitz (1646–1716) and the British fluid dynamics engineer Osborne Reynolds (1842–1912) due to their work and con- tributions related to the theorem. Hence it follows that the transport theorem, or alternate forms of the theorem, may be named the Leibnitz theorem in mathematics and Reynolds transport theorem in mechanics. In a customary interpretation the Reynolds transport theorem provides the link between the system and control volume representations, while the Leibnitz’s theorem is a three dimensional version of the integral rule for differentiation of an integral. There are several notations used for the transport theorem and there are numerous forms and corollaries. A.1.1 Leibnitz’s Rule The Leibnitz’s integral rule gives a formula for differentiation of an integral whose limits are functions of the differential variable [7, 8, 22, 23, 45, 55, 79, 94, 99]. The formula is also known as differentiation under the integral sign. H. A. Jakobsen, Chemical Reactor Modeling, DOI: 10.1007/978-3-319-05092-8, 1361 © Springer International Publishing Switzerland 2014 1362 Appendix A: Mathematical Theorems b(t) b(t) d ∂f (t, x) db da f (t, x) dx = dx + f (t, b) − f (t, a) (A.1) dt ∂t dt dt a(t) a(t) The first term on the RHS gives the change in the integral because the function itself is changing with time, the second term accounts for the gain in area as the upper limit is moved in the positive axis direction, and the third term accounts for the loss in area as the lower limit is moved. -
Connects Charge and Field 3. Applications of Gauss's
Gauss Law 1. Review on 1) Coulomb’s Law (charge and force) 2) Electric Field (field and force) 2. Gauss’s Law: connects charge and field 3. Applications of Gauss’s Law Coulomb’s Law and Electric Field l Coulomb’s Law: the force between two point charges Coulomb’s Law and Electric Field l Coulomb’s Law: the force between two point charges ! q q F = K 1 2 rˆ e e r2 12 Coulomb’s Law and Electric Field l Coulomb’s Law: the force between two point charges ! q q F = K 1 2 rˆ e e r2 12 l The electric field is defined as Coulomb’s Law and Electric Field l Coulomb’s Law: the force between two point charges ! q q F = K 1 2 rˆ e e r2 12 l The electric field is defined! as ! F E ≡ q0 and is represented through field lines. Coulomb’s Law and Electric Field l Coulomb’s Law: the force between two point charges ! q q F = K 1 2 rˆ e e r2 12 l The electric field is defined! as ! F E ≡ q0 and is represented through field lines. l The force a charge experiences in an electric filed is Coulomb’s Law and Electric Field l Coulomb’s Law: the force between two point charges ! q q F = K 1 2 rˆ e e r2 12 l The electric field is defined! as ! F E ≡ q0 and is represented through field lines. l The force a charge experiences in an electric filed is ! ! F = q0E Coulomb’s Law and Electric Field l Coulomb’s Law: the force between two point charges ! q q F = K 1 2 rˆ e e r2 12 l The electric field is defined! as ! F E ≡ q0 and is represented through field lines. -
21. Maxwell's Equations. Electromagnetic Waves
University of Rhode Island DigitalCommons@URI PHY 204: Elementary Physics II -- Slides PHY 204: Elementary Physics II (2021) 2020 21. Maxwell's equations. Electromagnetic waves Gerhard Müller University of Rhode Island, [email protected] Robert Coyne University of Rhode Island, [email protected] Follow this and additional works at: https://digitalcommons.uri.edu/phy204-slides Recommended Citation Müller, Gerhard and Coyne, Robert, "21. Maxwell's equations. Electromagnetic waves" (2020). PHY 204: Elementary Physics II -- Slides. Paper 46. https://digitalcommons.uri.edu/phy204-slides/46https://digitalcommons.uri.edu/phy204-slides/46 This Course Material is brought to you for free and open access by the PHY 204: Elementary Physics II (2021) at DigitalCommons@URI. It has been accepted for inclusion in PHY 204: Elementary Physics II -- Slides by an authorized administrator of DigitalCommons@URI. For more information, please contact [email protected]. Dynamics of Particles and Fields Dynamics of Charged Particle: • Newton’s equation of motion: ~F = m~a. • Lorentz force: ~F = q(~E +~v ×~B). Dynamics of Electric and Magnetic Fields: I q • Gauss’ law for electric field: ~E · d~A = . e0 I • Gauss’ law for magnetic field: ~B · d~A = 0. I dF Z • Faraday’s law: ~E · d~` = − B , where F = ~B · d~A. dt B I dF Z • Ampere’s` law: ~B · d~` = m I + m e E , where F = ~E · d~A. 0 0 0 dt E Maxwell’s equations: 4 relations between fields (~E,~B) and sources (q, I). tsl314 Gauss’s Law for Electric Field The net electric flux FE through any closed surface is equal to the net charge Qin inside divided by the permittivity constant e0: I ~ ~ Qin Qin −12 2 −1 −2 E · dA = 4pkQin = i.e. -
A) Electric Flux B) Field Lines Gauss'
Electricity & Magnetism Lecture 3 Today’s Concepts: A) Electric Flux Gauss’ Law B) Field Lines Electricity & Magnetism Lecture 3, Slide 1 Your Comments “Is Eo (epsilon knot) a fixed number? ” “epsilon 0 seems to be a derived quantity. Where does it come from?” q 1 q ˆ ˆ E = k 2 r E = 2 2 r IT’S JUST A r 4e or r CONSTANT 1 k = 9 x 109 N m2 / C2 k e = 8.85 x 10-12 C2 / N·m2 4e o o “I fluxing love physics!” “My only point of confusion is this: if we can represent any flux through any surface as the total charge divided by a constant, why do we even bother with the integral definition? is that for non-closed surfaces or something? These concepts are a lot harder to grasp than mechanics. WHEW.....this stuff was quite abstract.....it always seems as though I feel like I understand the material after watching the prelecture, but then get many of the clicker questions wrong in lecture...any idea why or advice?? Thanks 05 Electricity & Magnetism Lecture 3, Slide 2 Electric Field Lines Direction & Density of Lines represent Direction & Magnitude of E Point Charge: Direction is radial Density 1/R2 07 Electricity & Magnetism Lecture 3, Slide 3 Electric Field Lines Legend 1 line = 3 mC Dipole Charge Distribution: “Please discuss further how the number of field lines is determined. Is this just convention? I feel Direction & Density as if the "number" of field lines is arbitrary, much more interesting. because the field is a vector field and is defined for all points in space. -
Applications of the Hodge Decomposition to Biological Structure and Function Modeling
Applications of the Hodge Decomposition to Biological Structure and Function Modeling Andrew Gillette joint work with Chandrajit Bajaj and John Luecke Department of Mathematics, Institute of Computational Engineering and Sciences University of Texas at Austin, Austin, Texas 78712, USA http://www.math.utexas.edu/users/agillette university-logo Computational Visualization Center , I C E S ( DepartmentThe University of Mathematics, of Texas atInstitute Austin of Computational EngineeringDec2008 and Sciences 1/32 University Introduction Molecular dynamics are governed by electrostatic forces of attraction and repulsion. These forces are described as the solutions of a PDE over the molecular surfaces. Molecular surfaces may have complicated topological features affecting the solution. The Hodge Decomposition relates topological properties of the surface to solution spaces of PDEs over the surface. ∼ (space of forms) = (solutions to ∆u = f 6≡ 0) ⊕ (non-trivial deRham classes)university-logo Computational Visualization Center , I C E S ( DepartmentThe University of Mathematics, of Texas atInstitute Austin of Computational EngineeringDec2008 and Sciences 2/32 University Outline 1 The Hodge Decomposition for smooth differential forms 2 The Hodge Decomposition for discrete differential forms 3 Applications of the Hodge Decomposition to biological modeling university-logo Computational Visualization Center , I C E S ( DepartmentThe University of Mathematics, of Texas atInstitute Austin of Computational EngineeringDec2008 and Sciences 3/32 University Outline 1 The Hodge Decomposition for smooth differential forms 2 The Hodge Decomposition for discrete differential forms 3 Applications of the Hodge Decomposition to biological modeling university-logo Computational Visualization Center , I C E S ( DepartmentThe University of Mathematics, of Texas atInstitute Austin of Computational EngineeringDec2008 and Sciences 4/32 University Differential Forms Let Ω denote a smooth n-manifold and Tx (Ω) the tangent space of Ω at x. -
Vector Calculus Operators
Vector Calculus Operators July 6, 2015 1 Div, Grad and Curl The divergence of a vector quantity in Cartesian coordinates is defined by: −! @ @ @ r · ≡ x + y + z (1) @x @y @z −! where = ( x; y; z). The divergence of a vector quantity is a scalar quantity. If the divergence is greater than zero, it implies a net flux out of a volume element. If the divergence is less than zero, it implies a net flux into a volume element. If the divergence is exactly equal to zero, then there is no net flux into or out of the volume element, i.e., any field lines that enter the volume element also exit the volume element. The divergence of the electric field and the divergence of the magnetic field are two of Maxwell's equations. The gradient of a scalar quantity in Cartesian coordinates is defined by: @ @ @ r (x; y; z) ≡ ^{ + |^ + k^ (2) @x @y @z where ^{ is the unit vector in the x-direction,| ^ is the unit vector in the y-direction, and k^ is the unit vector in the z-direction. Evaluating the gradient indicates the direction in which the function is changing the most rapidly (i.e., slope). If the gradient of a function is zero, the function is not changing. The curl of a vector function in Cartesian coordinates is given by: 1 −! @ @ @ @ @ @ r × ≡ ( z − y )^{ + ( x − z )^| + ( y − x )k^ (3) @y @z @z @x @x @y where the resulting function is another vector function that indicates the circulation of the original function, with unit vectors pointing orthogonal to the plane of the circulation components. -
Physics 115 Lightning Gauss's Law Electrical Potential Energy Electric
Physics 115 General Physics II Session 18 Lightning Gauss’s Law Electrical potential energy Electric potential V • R. J. Wilkes • Email: [email protected] • Home page: http://courses.washington.edu/phy115a/ 5/1/14 1 Lecture Schedule (up to exam 2) Today 5/1/14 Physics 115 2 Example: Electron Moving in a Perpendicular Electric Field ...similar to prob. 19-101 in textbook 6 • Electron has v0 = 1.00x10 m/s i • Enters uniform electric field E = 2000 N/C (down) (a) Compare the electric and gravitational forces on the electron. (b) By how much is the electron deflected after travelling 1.0 cm in the x direction? y x F eE e = 1 2 Δy = ayt , ay = Fnet / m = (eE ↑+mg ↓) / m ≈ eE / m Fg mg 2 −19 ! $2 (1.60×10 C)(2000 N/C) 1 ! eE $ 2 Δx eE Δx = −31 Δy = # &t , v >> v → t ≈ → Δy = # & (9.11×10 kg)(9.8 N/kg) x y 2" m % vx 2m" vx % 13 = 3.6×10 2 (1.60×10−19 C)(2000 N/C)! (0.01 m) $ = −31 # 6 & (Math typos corrected) 2(9.11×10 kg) "(1.0×10 m/s)% 5/1/14 Physics 115 = 0.018 m =1.8 cm (upward) 3 Big Static Charges: About Lightning • Lightning = huge electric discharge • Clouds get charged through friction – Clouds rub against mountains – Raindrops/ice particles carry charge • Discharge may carry 100,000 amperes – What’s an ampere ? Definition soon… • 1 kilometer long arc means 3 billion volts! – What’s a volt ? Definition soon… – High voltage breaks down air’s resistance – What’s resistance? Definition soon.. -
A New Definition of the Representative Volument Element in Numerical
UNIVERSITE´ DE MONTREAL´ A NEW DEFINITION OF THE REPRESENTATIVE VOLUMENT ELEMENT IN NUMERICAL HOMOGENIZATION PROBLEMS AND ITS APPLICATION TO THE PERFORMANCE EVALUATION OF ANALYTICAL HOMOGENIZATION MODELS HADI MOUSSADDY DEPARTEMENT´ DE GENIE´ MECANIQUE´ ECOLE´ POLYTECHNIQUE DE MONTREAL´ THESE` PRESENT´ EE´ EN VUE DE L'OBTENTION DU DIPLOME^ DE PHILOSOPHIÆ DOCTOR (GENIE´ MECANIQUE)´ AVRIL 2013 © Hadi Moussaddy, 2013. UNIVERSITE´ DE MONTREAL´ ECOLE´ POLYTECHNIQUE DE MONTREAL´ Cette th`eseintitul´ee : A NEW DEFINITION OF THE REPRESENTATIVE VOLUMENT ELEMENT IN NUMERICAL HOMOGENIZATION PROBLEMS AND ITS APPLICATION TO THE PERFORMANCE EVALUATION OF ANALYTICAL HOMOGENIZATION MODELS pr´esent´ee par : MOUSSADDY Hadi en vue de l'obtention du dipl^ome de : Philosophiæ Doctor a ´et´ed^ument accept´eepar le jury d'examen constitu´ede : M. GOSSELIN Fr´ed´eric, Ph.D., pr´esident M. THERRIAULT Daniel, Ph.D., membre et directeur de recherche M. LE´VESQUE Martin, Ph.D., membre et codirecteur de recherche M. LESSARD Larry, Ph.D., membre M. BOHM¨ Helmut J., Techn. Doct., membre iii To my parents Safwan and Aisha To my wife Nour To my whole family... iv ACKNOWLEDGEMENTS I would like to thank Pr. Daniel Therriault and Pr. Martin L´evesque for their guidance throughout this project. Your insightful criticism guided me to complete a rigorous work, while gaining scientific maturity. Also, I want to thank Pr. B¨ohm, Pr. Lessard and Pr. Henry for being my committee members and Pr. Gosselin for being the Jury president. I owe special gratitude to the members of Laboratory for Multiscale Mechanics (LM2) research group. I would like to paricularly acknowledge the contributions of Maryam Pah- lavanPour by conducting parts of the analytical modeling included in this thesis, and for numerous fruitful dicussions all along this project. -
Ee334lect37summaryelectroma
EE334 Electromagnetic Theory I Todd Kaiser Maxwell’s Equations: Maxwell’s equations were developed on experimental evidence and have been found to govern all classical electromagnetic phenomena. They can be written in differential or integral form. r r r Gauss'sLaw ∇ ⋅ D = ρ D ⋅ dS = ρ dv = Q ∫∫ enclosed SV r r r Nomagneticmonopoles ∇ ⋅ B = 0 ∫ B ⋅ dS = 0 S r r ∂B r r ∂ r r Faraday'sLaw ∇× E = − E ⋅ dl = − B ⋅ dS ∫∫S ∂t C ∂t r r r ∂D r r r r ∂ r r Modified Ampere'sLaw ∇× H = J + H ⋅ dl = J ⋅ dS + D ⋅ dS ∫ ∫∫SS ∂t C ∂t where: E = Electric Field Intensity (V/m) D = Electric Flux Density (C/m2) H = Magnetic Field Intensity (A/m) B = Magnetic Flux Density (T) J = Electric Current Density (A/m2) ρ = Electric Charge Density (C/m3) The Continuity Equation for current is consistent with Maxwell’s Equations and the conservation of charge. It can be used to derive Kirchhoff’s Current Law: r ∂ρ ∂ρ r ∇ ⋅ J + = 0 if = 0 ∇ ⋅ J = 0 implies KCL ∂t ∂t Constitutive Relationships: The field intensities and flux densities are related by using the constitutive equations. In general, the permittivity (ε) and the permeability (µ) are tensors (different values in different directions) and are functions of the material. In simple materials they are scalars. r r r r D = ε E ⇒ D = ε rε 0 E r r r r B = µ H ⇒ B = µ r µ0 H where: εr = Relative permittivity ε0 = Vacuum permittivity µr = Relative permeability µ0 = Vacuum permeability Boundary Conditions: At abrupt interfaces between different materials the following conditions hold: r r r r nˆ × (E1 − E2 )= 0 nˆ ⋅(D1 − D2 )= ρ S r r r r r nˆ × ()H1 − H 2 = J S nˆ ⋅ ()B1 − B2 = 0 where: n is the normal vector from region-2 to region-1 Js is the surface current density (A/m) 2 ρs is the surface charge density (C/m ) 1 Electrostatic Fields: When there are no time dependent fields, electric and magnetic fields can exist as independent fields. -
Electric Flux, and Gauss' Law Finding the Electric Field Due to a Bunch Of
27-1 (SJP, Phys 1120) Electric flux, and Gauss' law Finding the Electric field due to a bunch of charges is KEY! Once you know E, you know the force on any charge you put down - you can predict (or control) motion of electric charges! We're talking manipulation of anything from DNA to electrons in circuits... But as you've seen, it's a pain to start from Coulomb's law and add all those darn vectors. Fortunately, there is a remarkable law, called Gauss' law, which is a universal law of nature that describes electricity. It is more general than Coulomb's law, but includes Coulomb's law as a special case. It is always true... and sometimes VERY useful to figure out E fields! But to make sense of it, we really need a new concept, Electric Flux (Called Φ). So first a "flux interlude": Imagine an E field whose field lines "cut through" or "pierce" a loop. Define θ as the angle between E and the "normal" E or "perpendicular" direction to the loop. We will now define a new quantity, the electric ! flux through the loop, as A, the Flux, or Φ = E⊥ A = E A cosθ "normal" to the loop E⊥ is the component of E perpendicular to the loop: E⊥ = E cosθ. For convenience, people will often characterize the area of a small patch (like the loop above) as a vector instead of just a number. The magnitude of the area vector is just... the area! (What else?) But the direction of the area vector is the normal to the loop.