Chapter 1 Vector Analysis

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Chapter 1 Vector Analysis Gradient, Divergence, R otation, Helmholtz’s Theory 1. Directional Derivative & Gradient 2. Flux & Divergence 3. Circulation & Curl 4. Solenoidal & Irrotational Fields 5. Green’s Theorems 6. Uniqueness Theorem for Vecto r Fields 7. Helmholtz ’s Theorem

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Chapter 1 Vector Analysis. Gradient, Divergence, Rotation, Helmholtz’s Theory. 1. Directional Derivative & Gradient 2. Flux & Divergence 3. Circulation & Curl 4. Solenoidal & Irrotational Fields 5. Green’s Theorems 6. Uniqueness Theorem for Vector Fields - PowerPoint PPT Presentation

Transcript of Chapter 1 Vector Analysis

Page 1: Chapter 1    Vector Analysis

Chapter 1 Vector Analysis

Gradient, Divergence, Rotation, Helmholtz’s Theory

1. Directional Derivative & Gradient

2. Flux & Divergence

3. Circulation & Curl

4. Solenoidal & Irrotational Fields

5. Green’s Theorems

6. Uniqueness Theorem for Vector Fields

7. Helmholtz’s Theorem

8. Orthogonal Curvilinear Coordinate

Page 2: Chapter 1    Vector Analysis

1. Directional Derivative & Gradient

The directional derivative of a scalar at a point indicates the

spatial rate of change of the scalar at the point in a certain direction.

l

PP

l lP Δ

)()(lim

The directional derivative of scalar

at point P in the direction of l is defined as

Pl

P

l

lΔ P

The gradient is a vector. The magnitude of the gradient of a

scalar field at a point is the maximum directional derivative at the

point, and its direction is that in which the directional derivative will

be maximum.

Page 3: Chapter 1    Vector Analysis

zyx zy

eeexgrad

zyx zyx

eee

grad

In rectangular coordinate system, the gradient of a scalar field

can be expressed as

Where “grad” is the observation of the word “gradient”.

In rectangular coordinate system, the operator is denoted as

Then the grad of scalar field can be denoted as

Page 4: Chapter 1    Vector Analysis

The surface integral of the vector field A evaluated over a directed

surface S is called the flux through the directed surface S, and it is

denoted by scalar , i.e.

2. Flux & Divergence

S

d SA

The flux could be positive, negative, or zero.

The direction of a closed surface is defined as the outward normal o

n the closed surface. Hence, if there is a source in a closed surface, the fl

ux of the vectors must be positive; conversely, if there is a sink, the flux

of the vectors will be negative.

The source a positive source; The sink a negative source.

A source in the closed surface produces a positive integral, while a

sink gives rise to a negative one.

Page 5: Chapter 1    Vector Analysis

From physics we know that

S

q

0

d

SE

If there is positive electric charge in the closed surface, the flux will

be positive. If the electric charge is negative, the flux will be negative.

In a source-free region where there is no charge, the flux through a

ny closed surface becomes zero.

The flux of the vectors through a closed surface can reveal the prop

erties of the sources and how the presence of sources within the closed s

urface.

The flux only gives the total source in a closed surface, and it can

not describe the distribution of the source. For this reason, the diverg

ence is required.

Page 6: Chapter 1    Vector Analysis

VS

V Δ

d limdiv

SAA

Where “div” is the observation of the word “divergence, and V is the

volume closed by the closed surface. It shows that the divergence of a

vector field is a scalar field, and it can be considered as the flux through

the surface per unit volume.

In rectangular coordinates, the divergence can be expressed as

z

A

y

A

x

A zyx

Adiv

We introduce the ratio of the flux of the vector field A at the point th

rough a closed surface to the volume enclosed by that surface, and the li

mit of this ratio, as the surface area is made to become vanishingly small

at the point, is called the divergence of the vector field at that point, deno

ted by divA, given by

Page 7: Chapter 1    Vector Analysis

Using the operator , the divergence can be written

as AA div

SV

V

d d div SAA

Divergence Theorem

SV

V

d d SAAor

From the point of view of mathematics, the divergence theorem

states that the surface integral of a vector function over a closed surface

can be transformed into a volume integral involving the divergence of

the vector over the volume enclosed by the same surface. From the

point of the view of fields, it gives the relationship between the fields in

a region and the fields on the boundary of the region.

Page 8: Chapter 1    Vector Analysis

The line integral of a vector field A evaluated along a closed curve

is called the circulation of the vector field A around the curve, and it

is denoted by , i.e.

3. Circulation & Curl

l

d lA

If the direction of the vector field A is the same as that of the line

element dl everywhere along the curve, then the circulation > 0. If

they are in opposite direction, then < 0 . Hence, the circulation can

provide a description of the rotational property of a vector field.

Page 9: Chapter 1    Vector Analysis

From physics, we know that the circulation of the magnetic flux

density B around a closed curve l is equal to the product of the

conduction current I enclosed by the closed curve and the permeability

in free space, i.e.

where the flowing direction of the current I and the direction of the

directed curve l adhere to the right hand rule. The circulation is

therefore an indication of the intensity of a source.

Il 0

d lB

However, the circulation only stands for the total source, and it i

s unable to describe the distribution of the source. Hence, the rotatio

n is required.

Page 10: Chapter 1    Vector Analysis

Sl

S Δ

d lim curl max

0Δn

lAeA

Where en the unit vector at the direction about which the circulation of

the vector A will be maximum, and S is the surface closed by the closed

line l.

The magnitude of the curl vector is considered as the maximum

circulation around the closed curve with unit area.

Curl is a vector. If the curl of the vector field A is denoted by

. The direction is that to which the circulation of the vector A will be

maximum, while the magnitude of the curl vector is equal to the maxi

mum circulation intensity about its direction, i.e.

Acurl

Page 11: Chapter 1    Vector Analysis

In rectangular coordinates, the curl can be expressed by the

matrix as

zyx

zyx

AAAzyx

eee

A curl

or by using the operator

as AA curl

Stokes’ Theorem

lS

d d) curl( lASA

lS

d d)( lASAor

Page 12: Chapter 1    Vector Analysis

A surface integral can be transformed into a line integral by using

Stokes’ theorem, and vise versa.

The gradient, the divergence, or the curl is differential operator. Th

ey describe the change of the field about a point, and may be different a

t different points.

lS

d d)( lASA

From the point of the view of the field, Stokes’ theorem establishes

the relationship between the field in the region and the field at the

boundary of the region.

They describe the differential properties of the vector field. The

continuity of a function is a necessary condition for its

differentiability. Hence, all of these operators will be untenable where

the function is discontinuous.

Page 13: Chapter 1    Vector Analysis

The field with null-divergence is called solenoidal field (or called

divergence-free field), and the field with null-curl is called irrotational

field (or called lamellar field).

4. Solenoidal & Irrotational Fields

The divergence of the curl of any vector field A must be zero, i.e.

0)( A

which shows that a solenoidal field can be expressed in terms of the c

url of another vector field, or that a curly field must be a solenoidal f

ield.

Page 14: Chapter 1    Vector Analysis

0)(

Which shows that an irrotational field can be expressed in terms

of the gradient of another scalar field, or a gradient field must be

an irrotational field.

The curl of the gradient of any scalar field must be zero,

i.e.

Page 15: Chapter 1    Vector Analysis

5. Green’s Theorems

The first scalar Green’s

theorem: S

V

, ne

SVS

nV

2 dd)(

SV

V

2 d)(d)( S

or

where S is the closed surface bounding the volume V, the second order p

artial derivatives of two scalar fields and exist in the volume V, and

is the partial derivative of the scalar in the direction of , the out

ward normal to the surface S.

n

ne

Page 16: Chapter 1    Vector Analysis

SV

Snn

V

22 dd)(

SV

V

22 d d)( S

The first vector Green’s theorem:

SV

V

d d])()[( SQPQPQP

where S is the closed surface bounding the volume V, the direction of t

he surface element dS is in the outward normal direction, and the seco

nd order partial derivatives of two vector fields P and Q exist in the vo

lume V.

The second scalar Green’s theorem:

Page 17: Chapter 1    Vector Analysis

The second vector Green’s theorem:

SV

V

d][d]()([ SPQQPQPPQ

all Green’s theorems give the relationship between the fields in

the volume V and the fields at its boundary S. By using Green’s

theorem, the solution of the fields in a region can be expanded in

terms of the solution of the fields at the boundary of that region.

Green theorem also gives the relationship between two scalar

fields or two vector fields. Consequently, if one field is known, then

another field can be found out based on Green theorems.

Page 18: Chapter 1    Vector Analysis

6. Uniqueness Theorem for Vector Fields

For a vector field in a region, if its divergence, rotation, and

the tangential component or the normal component at the

boundary are given, then the vector field in the region will be

determined uniquely.

The divergence and the rotation of a vector field represent the s

ources of the field. Therefore, the above uniqueness theorem shows t

hat the field in the region V will be determined uniquely by its source

and boundary condition.

The vector field in an unbounded space is uniquely determined

only by its divergence and rotation if

)0( ,11

R

Page 19: Chapter 1    Vector Analysis

7. Helmholtz’s Theorem

)()()( rArrF

V

Vd)(

π4

1)(

rr

rFr V

)()(

V

d

π4

1

rr

rFrAwhere

A vector field can be expressed in terms of the sum of an

irrotational field and a solenoidal field.

If the vector F(r) is single valued everywhere in an open space,

its derivatives are continuous, and the source is distributed in a

limited region , then the vector field F(r) can be expressed asV

0)( 1

)1

εR

|(| rF

The properties of the divergence and the curl of a vector field are

among the most essential in the study of a vector field.

Page 20: Chapter 1    Vector Analysis

8. Orthogonal Curvilinear Coordinates

Rectangular coordinates (x, y, z)

z

x

y

z = z0

x = x0

y = y0P0

ze

xeye

O

Page 21: Chapter 1    Vector Analysis

Cylindrical coordinates (r, , z)

y

z

x

P0

0

= 0

r = r0

z = z0

re

zee

O

The relationships between the

variables r, , z and the variables

x, y, z are

cosrx

sinry

zz

22 yxr

x

yarctan

zz

and

Page 22: Chapter 1    Vector Analysis

Spherical coordinates (r, , )

x

z

y

= 0

0

0

r = r0

= 0

ere

e

P0

O

r0

The relationships between the

variables r, , and the variables

x, y, z are cossinrx

sinsinry

cosrz

222 zyxr

z

yx 22

arctan

x

yarctan

and

Page 23: Chapter 1    Vector Analysis

The relationships among the coordinate components of the

vector A in the three coordinate systems are

z

y

x

z

r

A

A

A

A

A

A

100

0cossin

0sincos

z

y

xr

A

A

A

A

A

A

0cossin

sinsincoscoscos

cossinsincossin

z

rr

A

A

A

A

A

A

010

sin0cos

cos0sin

Page 24: Chapter 1    Vector Analysis

* In rectangular coordinate system, a vector

zyx cba eeeA

where a, b, and c are constants. Is A a constant vector?

where a, b, and c are constants. Is A is a constant vector?

If A is a constant vector, how about a, b, and c?

zr cba eeeA

* In cylindrical coordinate system, a vector

eeeA cba r

* In spherical coordinate system, a vector

Questions