Del Operator 1. Symbolic notation: the del operator To have a compact notation, wide use is made of the symbolic operator “del” (some call it “nabla”):

Slides:



Advertisements
Similar presentations
The divergence of E If the charge fills a volume, with charge per unit volume . R Where d is an element of volume. For a volume charge:
Advertisements

Need to extend idea of a gradient (df/dx) to 2D/3D functions Example: 2D scalar function h(x,y) Need “dh/dl” but dh depends on direction of dl (greatest.
Dr. Charles Patterson 2.48 Lloyd Building
VECTOR CALCULUS 1.10 GRADIENT OF A SCALAR 1.11 DIVERGENCE OF A VECTOR
PH0101 UNIT 2 LECTURE 2 Biot Savart law Ampere’s circuital law
Chapter 13-Vector Calculus Calculus, 2ed, by Blank & Krantz, Copyright 2011 by John Wiley & Sons, Inc, All Rights Reserved.
(E&M) – Lecture 4 Topics:  More applications of vector calculus to electrostatics:  Laplacian: Poisson and Laplace equation  Curl: concept and.
EE3321 ELECTROMAGENTIC FIELD THEORY
Lecture 13: Advanced Examples Selected examples taken from Problem Set 4 Magnetic Potential (as an example of working with non-conservative fields) Plus.
Electrostatics Electrostatics is the branch of electromagnetics dealing with the effects of electric charges at rest. The fundamental law of electrostatics.
17 VECTOR CALCULUS.
VECTOR CALCULUS VECTOR CALCULUS Here, we define two operations that:  Can be performed on vector fields.  Play a basic role in the applications.
Lecture 7: Non-conservative Fields and The Del Operator mathematical vector fields, like (y 3, x) from Lecture 3, are non conservative so is magnetic field.
Lecture 12: 2nd-order Vector Operators Lecture 11 meaningless Laplace’s Equation is one of the most important in physics.
2D case: If or then 2 or 3D cases: Several dimensions: U(x,y,z) Compact notation using vector del, or nabla: Another notation: Partial derivative is.
Chapter 16 – Vector Calculus 16.5 Curl and Divergence 1 Objectives:  Understand the operations of curl and divergence  Use curl and divergence to obtain.
EM & Vector calculus #3 Physical Systems, Tuesday 30 Jan 2007, EJZ Vector Calculus 1.3: Integral Calculus Line, surface, volume integrals Fundamental theorems.
Introduction to Physical Systems Dr. E.J. Zita, The Evergreen State College, 30.Sept.02 Lab II Rm 2272, Program syllabus,
EM & Vector calculus #2 Physical Systems, Tuesday 23 Jan 2007, EJZ Vector Calculus 1.2: Differential Calculus Ordinary derivatives Div, Grad, and Curl.
Coulomb’s Law Section 36. Electrostatic field Poisson’s equation.
Methods of Math. Physics Dr. E.J. Zita, The Evergreen State College, 6 Jan.2011 Lab II Rm 2272, Winter wk 1 Thursday: Electromagnetism.
UNIVERSITI MALAYSIA PERLIS
Chapter 10 Vector Calculus
1 Chapter 2 Vector Calculus 1.Elementary 2.Vector Product 3.Differentiation of Vectors 4.Integration of Vectors 5.Del Operator or Nabla (Symbol  ) 6.Polar.
EE 543 Theory and Principles of Remote Sensing
2D case: If or then 2 or 3D cases: Several dimensions: U(x,y,z) Compact notation using vector del, or nabla: Another notation: Partial derivative is.
MA Day 55 – April 4, 2013 Section 13.3: The fundamental theorem for line integrals – Review theorems – Finding Potential functions – The Law of.
AOE 5104 Class 5 9/9/08 Online presentations for next class:
Copyright © Cengage Learning. All rights reserved.
Dr. Hugh Blanton ENTC Energy & Potential Dr. Blanton - ENTC Energy & Potential 3 The work done, or energy expended, in moving any object.
Electrostatic potential and energy fall EM lecture, week 2, 7. Oct
Methods of Math. Physics Dr. E.J. Zita, The Evergreen State College Lab II Rm 2272, Winter wk 3, Thursday 20 Jan Electrostatics.
Tuesday Sept 21st: Vector Calculus Derivatives of a scalar field: gradient, directional derivative, Laplacian Derivatives of a vector field: divergence,
Mathematics Review A.1 Vectors A.1.1 Definitions
Angular Velocity: Sect Overview only. For details, see text! Consider a particle moving on arbitrary path in space: –At a given instant, it can.
Saturday Sept 19th: Vector Calculus Vector derivatives of a scalar field: gradient, directional derivative, Laplacian Vector derivatives of a vector field:
SILVER OAK COLLEGE OF ENGG&TECH NAME:-KURALKAR PRATIK S. EN.NO: SUBJECT:- EEM GUIDED BY:- Ms. REENA PANCHAL THE STEADY STATE OF MAGNETIC.
Problem 3 p. 45 Electric potential on ring’s axis From Chapter 2:
Operators in scalar and vector fields
CHAPTER 14 Vector Calculus Slide 2 © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 14.1VECTOR FIELDS 14.2LINE INTEGRALS.
Kankeshwaridevi Institute of Tech. Name of Students:rajput rahulsinh Enrollment no : Subject Code : Name Of Subject : Engineering Electromagnetics.
(i) Divergence Divergence, Curl and Gradient Operations
Chapter 2 Vector Calculus
Vector integration Linear integrals Vector area and surface integrals
ECE 305 Electromagnetic Theory
MA 6251 MATHEMATICS-II . M.JAYAKUMAR ASSISTANT PROFESSOR
Soh Ping Jack, Azremi Abdullah Al-Hadi, Ruzelita Ngadiran
Force as gradient of potential energy
INTRODUCTION TO ELCTROSTATICS
Second Derivatives The gradient, the divergence and the curl are the only first derivatives we can make with , by applying twice we can construct.
Chapter 9 Vector Calculus.
Partial Derivative - Definition
Section 3.7 – Potential Energy
EEE 161 Applied Electromagnetics
1.4 Curvilinear Coordinates Cylindrical coordinates:
16.3 Vector Fields Understand the concept of a vector field
TUTORIAL1 VECTOR ANALYSIS PROBLEM SET(2)
Chapter 3 1. Line Integral Volume Integral Surface Integral
EEE 161 Applied Electromagnetics
Maxwell’s equations.
Christopher Crawford PHY
Copyright © Cengage Learning. All rights reserved.
13 VECTOR CALCULUS.
Electricity and Magnetism
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Applied Electromagnetic Waves
Chapter 17: Line Integrals and Surface Integrals
16.2: Line Integrals 16.3: The Fundamental Theorem for Line Integrals
Presentation transcript:

Del Operator 1. Symbolic notation: the del operator To have a compact notation, wide use is made of the symbolic operator “del” (some call it “nabla”): ∂ ∂ ∂ (1) ∇ = i + j + k ∂x ∂y ∂z ∂ ∂M Recall that the “product” of and the function M(x, y, z) is understood to be. Then ∂x ∂x we have ∂f ∂f ∂f (2) grad f = ∇ f = i + j + k ∂x ∂y ∂z The divergence is sort of a symbolic scalar product: if F = M i + N j + P k, ∂M ∂N ∂P (3) div F = ∇ · F = + + ∂x ∂y ∂z while the curl, as we have noted, as a symbolic cross-product: � i j k � curl F = ∇ × F = ∂ ∂ ∂ � ∂x ∂y ∂z �. � M N P � Notice how this notation reminds you that ∇ · F is a scalar function, while ∇ ×F is a vector function. We may also speak of the Laplace operator (also called the “Laplacian”), defined by ∂2f ∂2f ∂2f (5) lap f = ∇ 2f = ( ∇ · ∇ ) f = + +. ∂x2 ∂y2 ∂z2 Thus, Laplace’s equation may be written: ∇ 2f = 0. (This is for example the equation satisfied by the potential function for an electrostatic field, in any region of space where there are no charges; or for a gravitational field, in a region of space where there are no masses.) In this notation, the divergence theorem and Stokes’ theorem are respectively � � ��� (

6) F · dS = ∇ · F dV F · dr = ∇ × F · dS S D C S Two important relations involving the symbolic operator are: (7) curl (grad f) = 0 div curl F = 0 (7′ ) ∇ × ∇ f = 0 ∇ · ∇ × F = 0 The first we have proved (it was part of the criterion for gradient fields); the second is an easy exercise. Note however how the symbolic notation suggests the answer, since we know that for any vector A, we have A × A = 0, A · A × F = 0, and (7′ ) says this is true for the symbolic vector ∇ as well.