Introduction to Vector Calculus: Gradient, Divergence, and Curl, Study notes of Physics

An introduction to vector calculus concepts, including the gradient, divergence, and curl. It explains the differences between 'd' and 'del' and provides examples of their applications. The document also covers the scalar and vector products of vectors and integrals over closed loops and surfaces.

Typology: Study notes

Pre 2010

Uploaded on 08/16/2009

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Physics
Physics ๎˜๎˜‚๎˜ƒ
๎˜๎˜‚๎˜ƒ๎˜๎˜‚๎˜ƒ
๎˜๎˜‚๎˜ƒ
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๎˜๎˜‚๎˜ƒ๎˜๎˜‚๎˜ƒ๎˜„
๎˜๎˜‚๎˜ƒ๎˜„๎˜…๎˜†๎˜‚๎˜‡๎˜ˆ๎˜‰๎˜Š๎˜‹๎˜Œ๎˜
๎˜…๎˜†๎˜‚๎˜‡๎˜ˆ๎˜‰๎˜Š๎˜‹๎˜Œ๎˜๎˜Ž๎˜๎˜๎˜„๎˜‘๎˜’๎˜“๎˜”๎˜ˆ๎˜Š๎˜•
๎˜Ž๎˜๎˜๎˜„๎˜‘๎˜’๎˜“๎˜”๎˜ˆ๎˜Š๎˜•
Math Review / Math Tools
๎˜–๎˜—๎˜๎˜˜๎˜†๎˜”๎˜„๎˜™๎˜Š๎˜„๎˜š๎˜Š๎˜›๎˜„๎˜œ๎˜’๎˜”๎˜„๎˜ˆ๎˜๎˜„๎˜š๎˜Š๎˜›๎˜„๎˜“๎˜‚๎˜Š๎˜๎˜๎˜„๎˜†๎˜•๎˜„๎˜†๎˜ž๎˜ž๎˜‰๎˜’๎˜„๎˜Ÿ๎˜ˆ๎˜”๎˜˜๎˜„๎˜†๎˜„๎˜“๎˜Š๎˜“๎˜Š๎˜•๎˜›๎˜”
!๎˜—!๎˜ž๎˜ž๎˜‰๎˜’๎˜„๎˜“๎˜Š๎˜“๎˜Š๎˜•๎˜›๎˜”๎˜„๎˜๎˜ˆ๎˜•๎˜’๎˜„๎˜”๎˜˜๎˜’๎˜”๎˜†๎˜ƒ๎˜„
ร—
ร—ร—
ร—= ?
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Download Introduction to Vector Calculus: Gradient, Divergence, and Curl and more Study notes Physics in PDF only on Docsity!

PhysicsPhysics^ 

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Math Review / Math Tools

ร—ร—ร—ร— =?

Resultant Vector

tan

And 12 ห† ( 6 )ห†

Let 6 ห† 7 ห†

2 2

x

y

A B

B x y

A x y

A

B

A + B

ฮธฮธฮธฮธ

System of Equations

 ()*+,-./

 !0*1 2-

 4       5 

 6 7$  $  8

( 6 )( 3 ) ( 7 )( 4 ) 18 28 46 4 3

6 7 = โˆ’ โˆ’ =โˆ’ โˆ’ =โˆ’ โˆ’

Determinant=

Larger Systems

det

15 12 10

60 15 2

12 7 10

3434 5 12

9 15 10 5 10

9 2 7 12 10

15 2 6 5 12 10

9 15 2

6 7 10

det

โˆ’

=โˆ’

โˆ’

โˆ’

โˆ’ โˆ’ โˆ’

= โˆ’

=โˆ’

x

/*+.<1.>-./ + โˆ’ +

โˆ’ + โˆ’

  • โˆ’ +

Spherical Coordinates

Cartesian coordinates: x, y, z Spherical coordinates: r, ฮธ , ฯ†

( )

 

  



 

  



= + + = + +

=

=

=

โˆ’

โˆ’

r

z

x

y

r x y z x y z

z r

y r

x r

1

1

2 2 2 2

1 2 2 2

cos

tan

cos

sin sin

cos sin

ฮธ

ฯ•

ฮธ

ฯ† ฮธ

ฯ† ฮธ

Cylindrical Coordinates

Cartesian coordinates: x, y, z Spherical coordinates: r, ฯ† , z

( )

z z

x

y

r x y x y

z z

y r

x r

=

 

  



= + = +

=

=

=

โˆ’ 1

2 2 2

1 2 2

tan

sin

cos

ฯ•

ฯ†

ฯ†

Partial Derivatives

 So what is the

difference between โ€œd โ€ and?

 โ€œ d โ€ like d/dx means the

function only contains the variable x.

 When the function

contains not just x but may be y and z , we use the partial differential,

โˆ‚

โˆ‚

xyz yz x x

f

f x y z xyz

Forexample

= โˆ‚

โˆ‚

โˆ‚

โˆ‚

=

( )

( , , )

:

Note that the variables y and

z are held constant when the

differential operator acts on

the function

What is the solution to?

( )? ( )=? โˆ‚

โˆ‚

โˆ‚

โˆ‚ xyz z

xyz y

โ€œCrossโ€ or Vector Product

sin ฮธ

( )ห† ( )ห† ( )ห†

ห† ห† ห†

A B A B

A B ab ab x ab ab y ab ab z

b b b

a a a

x y z

A B

y z z y xz z x x y y x

x y z

x y z

   

 

 

ร— =

ร— = โˆ’ โˆ’ โˆ’ + โˆ’

ร— =

 ฮธฮธฮธฮธ is the angle between A and B

First application of โ€œdelโ€: Gradient

โˆ‡ f =โˆ‡( xyz )= yzx ห†+ xzy ห†+ xy z ห†

 

z z

U y y

U x x

U F U ห† ห† ห† 

  



โˆ‚

โˆ‚  + โˆ’ 

  



โˆ‚

โˆ‚  + โˆ’ 

  



โˆ‚

โˆ‚ = โˆ’โˆ‡ = โˆ’

 

The Scalar Product and โˆ‡

 We can apply โˆ‡ to the scalar product i.e.

 โˆ‡ยท A where A is some vector

 โˆ‡ยท A is called the โ€œdivergenceโ€ of A or โ€œdiv( A )โ€.

 Geometrically, we are discussing if A is diverging from some central point.

A is diverging from a central point so Div( A ) is equal to some value

A is not diverging from a central point so Div( A ) is equal to zero

The Vector Product and โˆ‡

 We can apply โˆ‡ to the vector product i.e.

 โˆ‡x A where A is some vector

 โˆ‡x A is called the โ€œcurlโ€ of A or โ€œcurl( A )โ€.

 Geometrically, we are discussing if A is curling around some central point.

A is not curling around a central point so curl ( A ) is equal to zero.

A is curling around a central point so curl ( A ) is equal to some value

Integrating over a closed loop

 The loop can be circular or rectangular.

 B โ‹… ds = B (^2 ฯ€ r^ )

 

From 0 to 2 ฯ€

A B

D C

โ€œLoopingโ€ from Point A to Point D

using straight line segments

d s = rd ฮธ ฮธ ห†



ds = dsA x ห†^ + dsBy ห†+ dsCx ห†+ dsD y ห†



Closed Surface Integral

ฮธ ฮธ ฯ†

ฮธ ฯ† ฯ†

R d d

da R d Rd

sin

( sin )( )

=^2

=

( )

2  E โ‹… da = E^4 ฯ€^ R

 

The vector n-hat is

normal to the surface.

This means that โ€œ da โ€

must consist of the

differential distance in

the phi direction

multiplied by the

differential distance in

Theta is integrated from 0 to ฯ€ the theta direction, so and phi is integrated from 0 to 2 ฯ€

Therefore if E depends only on R ,

then

da da n

First

E da

= ห†

 โ‹…