Topic 5.9: Divergence and The Divergence Theorem

Similar documents
Topic 5.5: Green s Theorem

CURRENT MATERIAL: Vector Calculus.

Topic 5.2: Introduction to Vector Fields

Worksheet 4.2: Introduction to Vector Fields and Line Integrals

Topic 5.6: Surfaces and Surface Elements

MATH 280 Multivariate Calculus Spring Derivatives of vector fields: divergence and curl

Course Notes Math 275 Boise State University. Shari Ultman

Topic 5.1: Line Element and Scalar Line Integrals

MATH 280 Multivariate Calculus Fall Integrating a vector field over a surface

CURRENT MATERIAL: Vector Calculus.

Chapter 6: Vector Analysis

Topic 2-2: Derivatives of Vector Functions. Textbook: Section 13.2, 13.4

Vector Calculus. Vector Fields. Reading Trim Vector Fields. Assignment web page assignment #9. Chapter 14 will examine a vector field.

2.20 Fall 2018 Math Review

This exam will be over material covered in class from Monday 14 February through Tuesday 8 March, corresponding to sections in the text.

Worksheet 1.3: Introduction to the Dot and Cross Products

ES.182A Topic 45 Notes Jeremy Orloff

Worksheet 1.4: Geometry of the Dot and Cross Products

Ying-Ying Tran 2016 May 10 Review

Worksheet 1.7: Introduction to Vector Functions - Position

Vector Algebra August 2013

Integral Theorems. September 14, We begin by recalling the Fundamental Theorem of Calculus, that the integral is the inverse of the derivative,

6 Div, grad curl and all that

MATH 280 Multivariate Calculus Fall Integrating a vector field over a curve

ES.182A Topic 46 Notes Jeremy Orloff. 46 Extensions and applications of the divergence theorem

AN INTRODUCTION TO CURVILINEAR ORTHOGONAL COORDINATES

University of Alabama Department of Physics and Astronomy. PH 125 / LeClair Spring A Short Math Guide. Cartesian (x, y) Polar (r, θ)

Divergence Theorem December 2013

Major Ideas in Calc 3 / Exam Review Topics

Summary of various integrals

+ f f n x n. + (x)

12.3 Dot Products, 12.4 Cross Products

1.1. Fields Partial derivatives

Topic 2.3: The Geometry of Derivatives of Vector Functions

Divergence Theorem Fundamental Theorem, Four Ways. 3D Fundamental Theorem. Divergence Theorem

Math Review Night: Work and the Dot Product

Surface Area of Parametrized Surfaces

53. Flux Integrals. Here, R is the region over which the double integral is evaluated.

LINE AND SURFACE INTEGRALS: A SUMMARY OF CALCULUS 3 UNIT 4

Fluid Mechanics Prof. S. K. Som Department of Mechanical Engineering Indian Institute of Technology, Kharagpur

1 Summary of Chapter 2

Some Important Concepts and Theorems of Vector Calculus

Math Vector Calculus II

LINE AND SURFACE INTEGRALS: A SUMMARY OF CALCULUS 3 UNIT 4

Vector Calculus handout

Worksheet 1.8: Geometry of Vector Derivatives

Vector equations of lines in the plane and 3-space (uses vector addition & scalar multiplication).

Lecture 10 Divergence, Gauss Law in Differential Form

In this chapter, we study the calculus of vector fields.

PHY481: Electromagnetism

ENERGY IN ELECTROSTATICS

2.1 Definition. Let n be a positive integer. An n-dimensional vector is an ordered list of n real numbers.

The Divergence Theorem

Gauss s law for electric fields

Calculus Workshop. Calculus Workshop 1

Math 234 Exam 3 Review Sheet

Dot Product August 2013

18.02 Multivariable Calculus Fall 2007

Final Exam Review Sheet : Comments and Selected Solutions

PHY481: Electromagnetism

Differential forms in two dimensions Kiril Datchev, March 23, 2017

Math 11 Fall 2016 Final Practice Problem Solutions

MATH H53 : Final exam

3 Vectors. 18 October 2018 PHY101 Physics I Dr.Cem Özdoğan

Vector calculus background

Topic 3. Integral calculus

MATH Calculus IV Spring 2014 Three Versions of the Divergence Theorem

Physics 110. Electricity and Magnetism. Professor Dine. Spring, Handout: Vectors and Tensors: Everything You Need to Know

Differential Operators and the Divergence Theorem

2 Equations of Motion

14.7 The Divergence Theorem

Mathematical Concepts & Notation

Lecture 3: Vectors. Any set of numbers that transform under a rotation the same way that a point in space does is called a vector.

Direction of maximum decrease = P

Chapter 3: 2D Kinematics Tuesday January 20th

Ideas from Vector Calculus Kurt Bryan

A Primer on Three Vectors

MATH 280 Multivariate Calculus Fall Integration over a curve

Math 2E Selected Problems for the Final Aaron Chen Spring 2016

Math 210, Final Exam, Fall 2010 Problem 1 Solution. v cosθ = u. v Since the magnitudes of the vectors are positive, the sign of the dot product will

ENGI 4430 Gauss & Stokes Theorems; Potentials Page 10.01

Math 11 Fall 2007 Practice Problem Solutions

Module 02: Math Review

Transmission Lines and E. M. Waves Prof. R. K. Shevgaonkar Department of Electrical Engineering Indian Institute of Technology, Bombay

Name: Date: 12/06/2018. M20550 Calculus III Tutorial Worksheet 11

Math Review 1: Vectors

Vector analysis and vector identities by means of cartesian tensors

Study Guide for Exam #2

Vectors Year 12 Term 1

Review of Vector Analysis in Cartesian Coordinates

MATH 302 Partial Differential Equations Fall Density

Math 276, Spring 2007 Additional Notes on Vectors

(You may need to make a sin / cos-type trigonometric substitution.) Solution.

A Brief Revision of Vector Calculus and Maxwell s Equations

Chapter 2: Fluid Dynamics Review

Math 20E Midterm II(ver. a)

Vector Operations. Vector Operations. Graphical Operations. Component Operations. ( ) ˆk

Line and Surface Integrals. Stokes and Divergence Theorems

Math 5BI: Problem Set 9 Integral Theorems of Vector Calculus

Course Outline. 2. Vectors in V 3.

Transcription:

Math 275 Notes (Ultman) Topic 5.9: Divergence and The Divergence Theorem Textbook ection: 16.9 From the Toolbox (what you need from previous classes): Computing partial derivatives. Computing the dot product. etting up and evaluate triple integrals. Knowing what a vector surface integral (aka flux integral) is. etting up and evaluating vector surface integrals. Related ideas: the gradient of a function f ; Green s Theorem. Learning Objectives (New kills) & Important Concepts Learning Objectives (New kills): Compute the divergence of a vector field. Apply the Divergence Theorem to evaluate surface integrals. Recognize when the Divergence Theorem can be used. Important Concepts: uppose is a closed surface, oriented outwards, that bounds a 3-dimensional region. The Divergence Theorem relates the flux (surface) integral of a vector field F out of, to a triple integral over : F d = divf dv. divf = F measures the local expansion/contraction of the vector field F.

The Big Picture If is a closed surface, oriented outward, and is the 3-dimensional region bounded by, the Divergence Theorem states that the flux (vector surface) integral of a vector field F out of is equal to the triple integral of the divergence of F over : F d = divf dv. The right-hand side of this equation is a triple integral, which we learned to evaluate earlier this semester. Divergence measures the local expansion/contraction of the vector field F (the net flow of F moving towards or away from a point). Divergence multiplied by the volume element measures the flux of F out of an infinitesimal box of volume dv : divf dv = F d. infinitesimal box o the Divergence Theorem states that adding up the flux of F out through infinitesimally small boxes through the region is the same as the total flux (vector surface integral) out through the boundary surface =. How to Read the Divergence Theorem Given a vector field F (x, y, z) = P (x, y, z) î + Q(x, y, z) ĵ + R(x, y, z) ˆk, the Divergence Theorem equates a vector surface integral and a triple integral: F d = divf dv Type of Integral: Vector urface Integral Triple Integral (2-d) (3-d) Domain of Integration: a closed surface in R 3 the 3-d region inside Integrand: F (x, y, z) divf = F = P x + Q y + R z 2

More Details The Nabla (or Del) Operator In Cartesian coordinates, the nabla operator is a vector whose components are partial derivatives: = y ĵ + z ˆk e have already seen the nabla operator applied to compute the gradient of a function: [ f = y ĵ + ] z ˆk f = x f î + y f ĵ + z f ˆk = f f y ĵ + f z ˆk Computing Divergence The divergence of a vector field in Cartesian coordinates can be computed by taking the dot product of the nabla operator and the field: F (x, y, z) = P (x, y, z) î + Q(x, y, z) ĵ + R(x, y, z) ˆk divf = F [ = y ĵ + ] z ˆk = P (x, y, z) + Q(x, y, z) + R(x, y, z) x y z = P x + Q y + R z [ ] P (x, y, z) î + Q(x, y, z) ĵ + R(x, y, z) ˆk Note: f turns a scalar-valued function f into a vector field, but divf turns a vector field into a scalar-valued function! hat Divergence Measures Divergence can be interpreted as the (local) expansion/contraction of a vector field. Imagine an infinitesimal box around each point in the domain of F : 3

If divf > 0 at a point, the net flow of F through the box is positive, and the field is expanding at that point. If divf < 0 at a point, the net flow of F through the box is negative, and the field is contracting at that point. A field F with divf = 0 at all points is sometimes called incompressible or divergence free. Geometric motivation for the Divergence Theorem divf dv measures the flux of the field F out through an infinitesimal box of volume dv : divf dv = F d. infinitesimal box The triple integral adds up these infinitesimal fluxes. Notation Boxes on the interior of the region share faces with their neighbors. The flux of the field F through these shared faces have the same absolute value, but opposite signs, so they cancel. Faces of boxes along the bounding surface = don t have a neighbor to cancel with. Adding all these up leads to the total flux out through the bounding surface =. If a surface is closed, the double integral symbol may include a circle:. It is also ok to use the generic notation. If is a 3-d region, its boundary may be denoted by. This boundary is a surface, so you may see either or used to denote the boundary surface of in the Divergence Theorem: F d = divf dv or F d = divf dv 4

Comparison of the Divergence Theorem, Green s Theorem, FTLI, FTC ˆ b FTC: f (b) f (a) = f (t) dt a ˆ FTLI: f (Q) f (P ) = f dr C Q Green s: F dr = C D x P y da Divergence: F d = divf dv Technical Conditions In order for Green s Theorem to hold, there are certain conditions that need to be met. In this class, we will only stress that the surface be closed with outward orientation; you may encounter the additional conditions in future classes. urface: = is closed and oriented outwards. It forms the boundary of a 3-dimensional region. Field: Both the surface and the interior region are contained in an open set (a bubble around the region and it s boundary surface = ) throughout which the field F is defined and divf exists and is and continuous. 5