where
points normal to, and away from the plane. Thus, for a horizontal
plane,
points up (in the
direction) above the
plane, and down (in the
direction) below the plane.
We check that this obeys the electrostatic boundary condition
where
is the normal vector above the plane.
Here
obeying the boundary condition.
Here, from example 2.5, the field is zero everywhere but between the
plates, where it is
.
Now we check our electrostatic boundary condition across the two charged planes. For the bottom plane at z=0,
for the bottom plane has charge density
and
. For the top plane at z=d,
for the top plane has charge density
, with
again equal to
.
The exact same argument holds for surface b:
The conducting sphere is uncharged, so the migration of charges
to the surfaces a and b is accompanied by the migration of compensating charge
to the outer surface of the conductor at R. Since
everywhere inside the conductor, this charge distributes itself uniformly over the surface R:
Here
points radially outward, perpendicular to a spherical Gaussian surface at r, so
=
for surface area element da on the spherical Gaussian surface.
also depends only on r, remaining constant on the fixed r Gaussian surface, and so factors out of the flux integral:
The total charge enclosed by the Gaussian spherical surface, outside the conductor, is
. Thus
the same field induced by a charge
at the center of the sphere.
Applied to cavities a and b, then,
The forces due to
at a and
at R are both
zero by Gauss' law. Calculating an electric field anywhere inside a
charged spherical shell always gives vanishing electric field, as no
charge is enclosed by the spherical Gaussian surface inside the shell.
The forces due to
at b and
at
cancel. See
this by considering as a Gaussian surface a spherical shell centered
on
with radius greater than b. The charge enclosed is exactly
zero,
at r=0 plus
on the shell at r=b. Thus this
configuration also creates zero electric field anywhere outside the
sphere
centered on
; and in particular, at
.
A parallel argument leads to zero force on
.
Setting this equal to
by Gauss' law gives
Of course, for s ;SPMlt;a or s;SPMgt;b,
vanishes, as a cylindrical Gaussian surface encloses zero net charge (for s;SPMgt;b, because +Q on the cylindrical shell at s=a is canceled by -Q on the cylindrical shell at s=b).
To find the capacitance of this coaxial capacitor we need the potential difference between the +Q and -Q conductors at s=a and s=b. This is
the unusual sign because we are looking for minus the usual potential difference V(b) - V(a), since by convention we need V(+Q) - V(-Q). This gives
since
is radial. Plugging in our result for
between a and b,
The capacitance is defined as
The capacitance per unit length is thus
which holds because the slot contains no charges.
Here,
As discussed in Example 3.3, separation of variables leads to eigenfunction solutions
the choice of exponentials for x and sinusoids for y being dictated by boundary condition (4-4), which cannot be satisfied by a linear combination of sinusoids. Boundary condition (4-4) requires A=0, and boundary condition (4-1) requires D=0. Boundary condition (4-2) requires that
We thus have eigenfunctions
satisfying boundary conditions (4-1), (4-2), and (4-4). The only remaining boundary condition is (4-3), which cannot be obeyed by a single eigenfunction. We thus construct the general solution as a superposition of all allowed eigenfunctions, with coefficients
:
We impose boundary condition (4-3) on this sum, which fixes the coefficients
:
As explained in example 3.3, this sum is a Fourier sine expansion for the function
, whose coefficients
are given by
Here, plugging in
gives
Since cosine is
-periodic,
and we need only work out
for n=1,2,3, 4. The term in parentheses gives
so we have
This gives, for our solution to the full stated problem,
where units of volts are assumed. As Boas mentions, it is much easier to solve two simpler problems:
and
The sum
then solves the original boundary value problem.
For problem 1: the 2-dimensional Laplace's equation has a basis of eigensolutions
We have chosen this basis because only for sinusoidal eigensolutions X(x) can we force X(x) to vanish at two distinct points in x, as required.
To make
vanish at x=0, for all y, we restrict ourselves to the
solutions,
To make
vanish at y=0, where
, we must have
. We then have
To make
vanish at x=10, we must have
nonzero only when
, that is,
. For our last boundary condition, setting
when y=30, we have
Thus
are the Fourier coefficients in a Fourier expansion of f = 100, 0;SPMlt;x;SPMlt;10. These are
Thus our solution for
is
For problem 2: we take as our basis of eigensolutions for the 2-dimensional Laplace's equation
again because we need sinusoidal eigensolutions Y(y) to make Y vanish at two distinct points y.
To make
vanish at y=0, for all x, we restrict ourselves to the
solutions,
To make
vanish at x=0, where
, we must have
. We then have
To make
vanish at y=30, we must have
nonzero only when
, that is,
. For our last boundary condition, setting
when x=10, we have
Thus
are the Fourier coefficients in a Fourier expansion of f = 100, 0;SPMlt;y;SPMlt;30. These are
Thus our solution for
is
Reassembling, our full solution is
Here we have the boundary value problem
with boundary conditions
As discussed in Example 3.5, separation of variables V(x,y,z) = X(x)Y(y)Z(z) leads to
Here, we need to force X(0) = X(a) = 0 and Y(0) = Y(a) = 0; as noted before, the only eigensolutions we can force to zero at two distinct points are the sinusoidal ones (and not the exponential ones), so we must choose
and
, giving us eigensolutions
where
Boundary conditions (6-1) and (6-3) force us to discard the
and
eigensolutions. Boundary conditions (6-2)
and (6-4) require that
Boundary condition (6-5) implies that
We thus have eigenfunctions
where
satisfying boundary conditions (6-1) through (6-5). The only remaining boundary condition is (6-6), which cannot be obeyed by a single eigenfunction. We thus construct the general solution as a superposition of all allowed eigenfunctions, with coefficients
:
We impose boundary condition (6-6) on this sum, which fixes the coefficients
:
As explained in example 3.5, this sum is a two-dimensional Fourier sine expansion for the function
, whose coefficients
are given by
Here, plugging in
gives
This gives, for our solution to the full stated problem,