Loading in 5 sec....

Derivative of any function f(x,y,z) :PowerPoint Presentation

Derivative of any function f(x,y,z) :

- 124 Views
- Uploaded on
- Presentation posted in: General

Derivative of any function f(x,y,z) :

Differential Calculus (revisited):

Derivative of any function f(x,y,z):

Gradient of function f

Gradient of a function

Change in a scalar function f corresponding to a change in position dr

f is a VECTOR

Geometrical interpretation of Gradient

Z

P

Q

dr

Y

change in f :

X

=0

=> f dr

Z

Q

dr

P

Y

X

For a given |dr|, the change in scalar function f(x,y,z) is maximum when:

=> f is a vectoralong the direction of maximum rate of change of the function

Magnitude: slope along this maximal direction

If f= 0 at some point (x0,y0,z0)

=> df = 0 for small displacements about the point (x0,y0,z0)

(x0,y0,z0) is a stationary point of f(x,y,z)

is NOT a vector,

but a VECTOR OPERATOR

Satisfies:

- Vector rules

- Partial differentiation rules

can act:

- On a scalar function f :f

GRADIENT

- On a vector function F as:.F

DIVERGENCE

- On a vector function F as: ×F

CURL

Divergence of a vector is a scalar.

.F is a measure of how much the vector F spreads out (diverges) from the point in question.

Physical interpretation of Divergence

Flow of a compressible fluid:

(x,y,z) -> density of the fluid at a point (x,y,z)

v(x,y,z) -> velocity of the fluid at (x,y,z)

Z

G

H

C

D

dz

E

F

dx

Y

A

B

dy

X

(rate of flow in)EFGH

(rate of flow out)ABCD

Net rate of flow out (along- x)

Net rate of flow out through all pairs of surfaces (per unit time):

Net rate of flow of the fluid per unit volume per unit time:

DIVERGENCE

Curl of a vector is a vector

×F is a measure of how much the vector F “curls around” the point in question.

Physical significance of Curl

Circulation of a fluid around a loop:

Y

3

2

4

1

X

Circulation (1234)

Circulation per unit area = ( × V )|z

z-component of CURL

Curvilinear coordinates:

used to describe systems with symmetry.

Spherical coordinates (r, , Ø)

Cartesian coordinates in terms of spherical coordinates:

Spherical coordinates in terms of Cartesian coordinates:

Unit vectors in spherical coordinates

Z

r

Y

X

Line element in spherical coordinates:

Volume element in spherical coordinates:

Area element in spherical coordinates:

on a surface of a sphere (r const.)

on a surface lying in xy-plane (const.)

Gradient:

Divergence:

Curl:

We know df = (f ).dl

The total change in f in going from a(x1,y1,z1)

to b(x2,y2,z2) along any path:

Line integral of gradient of a function is given by the value of the function at the boundaries of the line.

Corollary 1:

Corollary 2:

From the definition of potential:

From the fundamental theorem of gradient:

E = - V

Electric Dipole

Potential at a point due to dipole:

z

r

p

y

x

Electric Dipole

E = - V

Recall:

Electric Dipole

Using:

Gauss’ theorem, Green’s theorem

The integral of divergence of a vector over a volume is equal to the value of the function over the closed surface that bounds the volume.

Stokes’ theorem

Integral of a curl of a vector over a surface is equal to the value of the function over the closed boundary that encloses the surface.

THE DIRAC DELTA FUNCTION

Recall:

The volume integral of F:

Surface integral of F over a sphere of radius R:

From divergence theorem:

From calculation of Divergence:

By using the Divergence theorem:

Note: as r 0; F ∞

And integral of F over any volume containing the point r = 0

The Dirac Delta Function

(in one dimension)

Can be pictured as an infinitely high, infinitesimally narrow “spike” with area 1

The Dirac Delta Function

(x) NOT a Function

But a Generalized Function OR distribution

Properties:

The Dirac Delta Function

(in one dimension)

Shifting the spike from 0 to a;

The Dirac Delta Function

(in one dimension)

Properties:

The Dirac Delta Function

(in three dimension)

The Paradox of Divergence of

From calculation of Divergence:

By using the Divergence theorem:

So now we can write:

Such that: