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mathematical_physics_2007_14.pdf, Study Guides, Projects, Research of Mathematical Physics

mathematical_physics_2007_14.pdf

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Pre 2010

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DIFFERENTIAL OPERATIONS
25
The
RHS
of
this expression can be recognized
as
the total differential change of
Q,
due to a differential change of position
dF.
The result can be written entirely in vector
notation as
dQ,
=
VQ,
*
dF.
(2.33)
From Equation 2.33, it
is
clear that the largest
value
of
dQ,
occurs when
dT
points in
the same direction as
VQ,.
On the other hand, a displacement perpendicular to
VQ,
produces no change in
Q,
because
d@
=
0.
This means that the gradient will always
point perpendicular to the surfaces
of
constant
Q,.
At the beginning of this chapter, we discussed the electric potential function
generated by two line charges.
The
electric field was generated by taking the gradient
of
this scalar potential, and was plotted in Figure
2.1.
While we could use this example
as a model for developing a physical picture for the gradient operation, it is relatively
complicated. Instead, we will look at the simpler two-dimensional function
Q,
=
-xy.
(2.34)
A
plot
of
the equipotential lines of
@
in the xy-plane is shown in Figure 2.4. The
gradient operating on
this
function generates the vector field
-
VQ,
=
-ye,
-xi?,. (2.35)
Now
imagine we are at the point (1,2) and move to the right, by an infinitesi-
mal amount
dr
along the positive x-axis. The corresponding change in
Q,
can be
determined by calculating:
dQ,
=vQ,
.dF
=
(-26,
-
16,)
.
(dr
C,)
=
-2dr.
(2.36)
Y
Figure
2.4
Surfaces
of
Constant
@
=
-xy
pf3

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DIFFERENTIAL OPERATIONS 25

The RHS of this expression can be recognized as the total differential change of Q,

due to a differential change of position dF. The result can be written entirely in vector notation as

dQ, = VQ, * dF. (2.33)

From Equation 2.33, it is clear that the largest value of dQ, occurs when dT points in the same direction as VQ,. On the other hand, a displacement perpendicular to VQ, produces no change in Q, because d @ = 0. This means that the gradient will always point perpendicular to the surfaces of constant Q,. At the beginning of this chapter, we discussed the electric potential function generated by two line charges. The electric field was generated by taking the gradient of this scalar potential, and was plotted in Figure 2.1. While we could use this example as a model for developing a physical picture for the gradient operation, it is relatively complicated. Instead, we will look at the simpler two-dimensional function

Q, = - x y. (2.34)

A plot of the equipotential lines of @ in the xy-plane is shown in Figure 2.4. The gradient operating on this function generates the vector field

VQ, = - y e , -xi?,. (2.35)

Now imagine we are at the point (1,2) and move to the right, by an infinitesi- mal amount dr along the positive x-axis. The corresponding change in Q, can be determined by calculating:

dQ, =vQ,.dF = (-26, - 16,). (dr C,) = - 2 d r.

Y

Figure 2.4 Surfaces of Constant @ = - x y

26 DIFFERENTIAL AND INTEGRAL OPERATIONS

This says CP decreases by 2 units for every unit moved in that direction. If instead, we were sitting at the point (3,4) and move an infinitesimalamount dr, at a 45-degree angle with respect to the x-axis, changes by an amount

= - d r.

Jz

Notice, these changes are for infinitesimal quantities. To calculate the change of CP

over a finite path, where the gradient changes as we move from point to point, we

need to use a line integral

When using the gradient to generate a vector field, we usually add a negative sign to the definition. For example, the electric field is generated from the electrostatic potential by

E = -V@. (2.39)

Using this convention, moving against the field lines increases CP. For the potential of Equation 2.34, the negative gradient is

- VCP = yGx + xi?,. (2.40)

The field lines for this function can be determined as follows:

dY - x

dx Y

  • _ -

d y y = d x x

y2 = x 2 + c

x 2 - y2 = c. (2.41)

These lines are perpendicular to the lines of constant @, as shown in Figure 2.5. Notice how the density of the vector field lines shows that the magnitude of the field increases as you move away from the origin. In summary, the gradient of a scalar function CP generates a vector field which, at each point, indicates the direction of the greatest increase of @ and lies perpendicular to the lines or surfaces of constant @. The example discussed above was worked out in two dimensions, but the process can also be visualized in three dimensions,