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8/22/2019 Method of Images Greens Jackson
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Jackson Notes 3 2012
1 Method of images
The method of images is a method that allows us to solve certain potential problems as
well as obtaining a Greens function for certain spaces. Recall that the Greens function
satisfies the equation
2G (x0, x) = 4(x x0) (1)subject to the boundary conditions
GD = 0 on S (2)
orG
n= C on S (3)
and thus the solution is of the formG (x0, x) =
1
|x x0| + (x0, x) (4)
where
2 (x0, x) = 0 in V (5)Thus the Greens function is 40 times the potential at x due to a unit point charge at x
0
in the volume V plus an additional term, with no sources in V, that fixes up the boundaryconditions, that is, a term due to sources outside ofV. Thus we can make progress in findingthe Dirichlet Greens function by finding the potential due to a point charge in V withgrounded boundaries.
1.1 Plane boundary
Suppose the volume of interest is the half-space z > 0. A point charge q is placed at adistance d from the x yplane, which is a conducting boundary. What is the potential forz > 0?
First, the conducting plane must be at a constant potential, which we may take to be
zero. (If the potential is V0, we can just addV0 to our solution at the end.) Then we mayplace an image charge q at distance d from the boundary, but on the opposite side. Thenthe potential due to these two charges everywhere on the boundary z = 0 is zero. Since theimage charge we added is outside our volume, it does not contribute to the value of 2 inV. Thus, putting the zaxis through q, the solution is
(x) =1
40
q
|x dz| q
|x + dz|
Properties of this solution are explored in Jackson problem 2.1. Note that the image charge
represents the charge density drawn onto the plane through the ground wire.
To obtain the Greens function for the half-space, we simply set q = 1 and multiply by40. Then
G (x, x0) =1
|x x0| 1
|x x00| (6)
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where
x00 = (x0, y0,
z0)is the position vector of the image point. This expression shows clearly that the physial
dimensions ofG are [1/length].This Greens function (6) is explicitly in the form (4), but it is not very convenient to use.
For example, suppose the problem of interest has potential V0 within a circle of radius a onthe plane z = 0, with the rest of the plane grounded. Then we would needfirst to compute(notes 2.5 equation 6)
G
n0
z0=0
= Gz 0
z0=0
= 2z|x x0|3
z0=0
(note that the outward normal on the plane at z = 0 is z) and then evaluate
(x) =V04 Z
circle
2z
|x x0
|
3 z0=0
dx0dy0
=V0z
2
Zcircle
1r2 + r02 2rr0 cos 0 + z23/2 r0dr0d0
where r, are polar coordinates in the x y plane. This is ugly. (We encountered a similarintegral in the bar magnet example, but that was only a 1/2 power. Later on we will identify
some methods for doing this integral, but we will also find more convenient expressions for
G.)
1.2 Images in a sphere
Now let the conducting boundary be a sphere of radius a and suppose we have a point chargeq at a distance d from the center of the sphere, where d > a. We want to find the potentialoutside the sphere.
Learning from our experience above, we conjecture that we can place an image charge
inside the sphere (and thus outside our volume V) and form the potential in V as the sumof the potential due to the two charges. Let the image charge have magnitude q0 and be atr = d0. Then we have
(x) =1
40
qx d
+ q0x d0
The boundary condition is that (x) = 0 everywhere on the surface of the sphere (r = a).The system has azimuthal symmetry about the line from the center of the sphere to the
charge q. Rotate the system about this line and nothing changes. Thus the image charge q0
must lie on this line at a distance d0 from the center. Then we have two unknowns in ourpotential: q0 andd0, and we need only pick two points on the sphere to solve for the two
unknowns. The most convenient two points lie on the ends of the diameter through theimage charge, as shown (P andQ in the diagram).
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P =1
40
q
d + a+
q0
d0 + a
= 0 (7)
and
Q =1
40
q
d a +q0
a d0
= 0 (8)
Then from equation (7)
q(d0 + a) + q0 (d + a) = 0and from (8)
q(a d0) + q0 (d a) = 0Adding these two relations eliminates d0 and gives
2qa + 2q0d = 0 q0 = qad
(9)
This result has the nice property that the image charge is negative if q is positive, as wefound in the planar case. Once again the image charge represents the charge drawn onto the
surface of the sphere through the ground wire.
Now we subtract the two relations to obtain an expression for d0 :
2qd0 + 2q0a = 0
d0 = a q0
q= a
a
d
=
a2
d(10)
The image charge is inside the sphere ifd > a, as we need. Conversely, ifd < a, the imagecharge is outside the sphere. (You are asked to confirm this result in Problem 2.2.)
We can perform two checks on this result. First lets find the potential at an arbitrary
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point on the sphere.
40 (a, ) = qR + q0
R0
=q
d2 + a2 2ad cos qa/dq
(d0)2 + a2 2ad0 cos
=q
d
1q1 + a
2
d2 2ad cos aq
(a2/d)2 + a2 2 (a3/d)cos
= 0
for all , as expected.Second, lets check that we get back the result from 1.1 as a (plane boundary).
We have to be a bit careful here, because if we immediately let a , the point fromwhich we are measuring our distances moves off infinitely far to the left, and we will learn
nothing. So first we write our results in terms of distance from the surface of the sphere.
The charge q is a distance d a = h from the surface, and thenq0 = q a
a + h= q
1 + h/a qas a
as required. The distance of the image from the surface is
h0 = a d0 = a a2
a + h=
ah
a + h=
h
1 + h/a h as a
and this is the second required result.
Finally we can write the Dirichlet Greens function for the region outside a sphere of
radius a by setting q = 1 and multiplying by 40 :
GD (x, x0) =
1
|x x0| a
r01
|x x00|where x00 is the position vector of the image point. Again this is pretty ugly.
1.3 Images in a cylinder
The basic ideas and methods are the same as we have used in the plane and sphere cases.
See Jackson problem 2.11.
1.4 Use of images to solve problems
Jackson P 2.10 asks us to compute the potential inside a parallel-plate capacitor with a small
hemispherical boss on one plate.
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The clue is in part (c) of the problem: We model the system by putting a point charge q at avery large distance d from the plane. Then we can use the image system shown to model thecapacitor, since the image system puts potential zero on the lower plate. (q andq, q0 andq0 form pairs that make the potential on the plane zero; q andq0, q andq0 form pairsthat make the potential on the sphere zero.) Then we can show that as d
we obtain a
uniform field at large distance from the lower plate, and we set that uniform field equal to
the given value ofE0, thus determining the necessary charge q.
Setup: From 1.2, the image charge q0 = adqand its distance from the plane is d0 = a2
d .The potential due to the four charges (one real charge and three images) is
(r, ) = kq
(1/
r2 + d2 2rd cos 1/
r2 + d2 + 2rd cos
ad /q
r2 + a4
d2 2r a2
d cos +ad
/q
r2 + a4
d2 + 2ra2
d cos
)(11)
To see why this works, look at the potential for d r a. We drop terms in (a/d)2 to get
(r, ) 'kq
d
1/q
r2
d2 + 1 2 rd cos 1/q
r2
d2 + 1 + 2rd cos
ar /q1 2
a2
drcos +
ar /q1 + 2
a2
rdcos
Next expand the square roots, dropping terms in (r/d)2 and(a/r) (a/d).
(r, ) 'kq
d
n1 +
r
dcos
1 r
dcos
a
r+
a
r
o=
kq
d2
r
dcos =
2kq
d2z to first order in small quantities
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This corresponds to the given uniform field provided that E0 = 2kq/d2, or, if we choose
q = E0d2
/2k. (12)
Solve: (a) To find the surface charge densities, begin with the field components. From
(11), we have
r= kq
( r d cos
(r2 + d2 2rd cos )3/2+
r + d cos
(r2 + d2 + 2rd cos )3/2
+a
r a2 cos /d
d
r2 + a4
d2 2ra2
d cos 3/2 a
r + a2 cos /d
d
r2 + a4
d2 + 2ra2
d cos 3/2
and at r = a
Er = kq( a
d cos
(a2 + d2 2ad cos )3/2 a + d cos
(a2 + d2 + 2ad cos )3/2
a
a a2 cos /d
d
a2 + a4
d2 2aa2
dcos
3/2 + a
a + a2 cos /d
d
a2 + a4
d2+ 2aa
2
dcos
3/2
= kq
(a d cos
(a2 + d2 2ad cos )3/2 a + d cos
(a2 + d2 + 2ad cos )3/2
da2 (d a cos )
a3 (d2 + a2 2ad cos )3/2+
da2 (d + a cos )
a3 (d2 + a2 + 2ad cos )3/2
)
= kq
"a d cos da (d a cos )
(a2 + d2
2ad cos )3/2
a + d cos da (d + a cos )
(a2 + d2 + 2ad cos )3/2
#
= kqa
1 d
2
a2
"1
(a2 + d2 2ad cos )3/2 1
(a2 + d2 + 2ad cos )3/2
#
and thus the charge density is (notes 1 eqn 5 with E = 0 inside the boss):
() = 0Er = 0kqa
1 d
2
a2
"1
(a2 + d2 2ad cos )3/2 1
(a2 + d2 + 2ad cos )3/2
#
Analysis: Notice that is zero in the corners at = /2, .as expected. Also since
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1 cos 0 on the boss and d > a, the chrage density is negative on the boss if q ispositive, as expected.
Solve: The total charge on the boss is
Qboss = 2
Z/20
() a2 sin d
=2
4qa3
1 d
2
a2
Z10
1
(a2 + d2 2ad)3/2 1
(a2 + d2 + 2ad)3/2
!d
= qa3
2
1 d
2
a2
1
2ad
2
(a2 + d2 2da)1/2 2
(a2 + d2 + 2da)1/2
!1
0
Qboss = q
2
1 d
2
a2
a2
d
1
(a2 + d2
2ad)
1/2+
2a2 + d2
1(a2 + d2 + 2ad)
1/2
!
= q2
a2 d2 1
d
1d a
1
a + d+
2a2 + d2
Qboss = q
1 d2 a2
d
a2 + d2
which is Jacksons result.
Analysis: As d forfixed q, Qboss 0. . Is this what you would haveexpected? The induced charge also goes to zero as a 0, .as the boss disappears in thiscase.
Solve: The charge density on the plane is
() = 0Ez = 0
z
z=0
Here it is more convenient to express the potential in terms of z :
(, z) = kq( 1pz2
+ 2
+ d2
2zd
1pz2
+ 2
+ d2
+ 2zd
adq
z2 + 2 + a4
d2 2z a2
d
+a
dq
z2 + 2 + a4
d2 + 2za2
d
(13)
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Thus
() = 0kq" (z d)(z2 + 2 + d2 2zd)3/2
(z + d)(z2 + 2 + d2 + 2zd)3/2
+a
z a2/dd
z2 + 2 + a4
d2 2z a2
d
3/2 a
z + a2/d
d
z2 + 2 + a4
d2 + 2za2
d
3/2z=0
= qd2
1
(2 + d2)3/2 a
3
d3
2 + a4
d2
3/2
where the second term is negligible if d a.The total charge on the plane is:
Qplane = qd
2 2Za 1
(2 + d2)3/2 a3
d3
2 + a4d23/2
d
= qd2
2
(2 + d2)1/2 a
3 (2)d3
2 + a4
d2
1/2
a
= qd 1
(a2 + d2)1/2 a
3
d3
a2 + a4
d2
1/2
= qd
d2 a2d2 + a2
Analysis: Qplane qas a 0 (flat plate) ord . The total induced charge is:
Qboss + Qplane = q1 d2 a2da2 + d2 q1d d2
a2
d2 + a2= q
as expected.
Solve: Now lets put in the value forqthat gets us to the capacitor-plus-boss system (eqn12): q = E0d
2/2k. Then, ford a, the charge on the boss is:
Qboss = q
1 1 a2/d2p
a2/d2 + 1
!' E0
2kd2
1
1 a2
d2
1 1
2
a2
d2
+ O
ad
4
= E02k
d2
3
2
a2
d2
= 3
4
E0k
a2 = 30E0a2
Analysis: This is Jacksons answer in (b). Notice that d disappears in the limit d , asrequired.
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Solve: The charge densities are:
() = 0E0a2
1 d
2
a2
d2
(a2 + d2 2ad cos )3/2 d
2
(a2 + d2 + 2ad cos )3/2!
= 0E0a
2d
1 d
2
a2
1
(a2/d2 + 1 2a/d cos )3/2 1
(a2/d2 + 1 + 2a/d cos )3/2
!
' 0E0a
2d
d
2
a2
1 + 3
a
dcos
1 3 a
dcos
= 0E0a
2d
d
2
a2
6
a
dcos
= 30E0 cos
on the boss, and on the plane
() = E0d3
4k 1
(2 + d2)3/2 a3
d3
2 + a4
d2
3/2
= E04k
1 32
2d2 a
3
3
1 + a4
d22
3/2
= E04k
1 3
2
2d2 a
3
3
1 3
2
a4
d22
0E0
1 a3
3
as d
Analysis: Note that the charge density is zero where the boss meets the plate ( = a, = /2), as expected near a sharp hole in the conductor. Also 0E0 as ,the expected result for a
flat plate.
The plot shows /0E0 versus /a for > a and versus 2/ for0 < < /2
0 1 2 3 4 5
-3
-2
-1
0
rho/a
s/s0
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Solve: The potential (13) is
(, z) = kqd
1q
1 +zd
2+d
2 2zd 1q
1 +zd
2+d
2+ 2 zd
adq
zd
2+d
2+ a
4
d4 2 zd a2
d2
+a
dq
zd
2+d
2+ a
4
d4 + 2zda2
d2
'E0d
2
n1 +
z
dh
1 zd
io E0
2
apz2 + 2
2 z
d
a2
z2 + 2
' E0z
1 a
3
(z2 + 2)3/2
!as d
Analysis: This function is plotted below. All distances are scaled by a.
Values of
/E0a are: black 0.2, red 0.5, green 1, purple 2
2 Expansion in orthogonal functions
To obtain a more useful form of the Greens function, well want to expand in orthogonal
functions that are (relatively) easy to integrate. We begin with some basics and well see
how to obtain solutions for the potential in boundary value problems with no charges inside
the volume. Then we can move on to compute the Greens function.
2.1 Sturm-Liouville theory
See Lea Chapter 8 sections 1 and 2.
2.2 General method for finding the potential
1. Choose coordinates so that the boundaries of the region correspond to constant-coordinate
surfaces. Then write the defining equation
2 = 0
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in terms of the chosen coordinates, called u, v, andw, separate variables, and solve todetermine the eigenfunctions. Youll get equations something like:
DuU
U= ( + ) ; DvV
V= ;
DwW
W=
Du is a differential operator of the form
f(u)d2
du2+ g (u)
d
du+ h (u)
and similarly forDv andDw.
2Note which boundary has a non-zero value of potential. This boundary should be defined
by the condition u = constant for one of the coordinates, u. You will want to chooseyour separation constants so that the sets of eigenfunctions in the other two coordinates
v andw are orthogonal functions.
3Then use the boundaries on which = 0 to determine your eigenfunctions V andW,and eigenvalues, (which Ill call = DvVV and =
DwWW
). If the boundaries are at afinite distance the eigenvalues will be countable and can be labelled with an integer: m.Otherwise they will form a continuous set.
4The last eigenfunction is determined from the differential equation in the final coordinate,
u:
=DuU
U=
At this point you should have a general solution of the form:
(u,v,w) =Xm,n
AmnUmn (u : m n) Vm (v : m) Wn (w : n)
where the coefficients Amn are still undetermined.
5Now use the final, non-zero, boundary condition together with orthogonality of the
eigenfunctions Vm andWn to find the coefficients Amn
2.3 Rectangular coordinates
See Lea 8.2 and Griffiths Ch 3 3, Jackson 2.9, or check here:
http://www.physics.sfsu.edu/~lea/courses/ugrad/360notes7.PDF
2.3.1 Rectangular 2-D problems with non-zero potential on two sides.
Since the general method allows for non-zero potential on only one side, we have to solve
these problems by superposition. Suppose we have a rectangular region measuring a b
with potential V on the sides at x = 0 and y = b, the sides at x = a and y = 0 beinggrounded. We solve two problems, each with three sides grounded, one having potential Vat x = 0 and one having potential V at y = b. Then we add the results. The solution is
= 1 +2
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where (Lea Example 8.1)
2 = 4V
Xm=0
12m + 1
sin
(2m + 1) xa
sinh
(2m+1)y
a
sinh (2m+1)ba
and
1 =4V
Xn=0
1
2n + 1sin
(2n + 1) y
b
sinh (2n+1)(ax)b
sinh (2n+1)abWith a = 2b the potential looks like this (the axes are x/a andy/a):
0
0.1
0.2
0.3
0.4
0.5
y
0.2 0.4 0.6 0.8 1x
Blue 0.75, black, 0.5, red 0.25, dashed 0.9
2.3.2 Continuous set of eigenvalues
If one dimension of our rectangle becomes infinite, then the set of eigenvalues is no longer
countable but becomes a continuous set. Suppose we let b in the example above. With (x, y) = X(x) Y (y) , Laplaces equation takes the form
X00
X= k2 = Y
00
Y. The solutions to the differential equation that satisfy the boundary conditions = 0 aty = 0 and at x = a but non-zero at x = 0 are of the form
sin ky sinh k(a x)But we no longer have an upper boundary in y to determine the values of k. (Effectively,1 in the previous problem has gone to zero because of the b in the denominator of theargument, leaving 2 with an undetermined k.). However, since the eigenfunction is aneven function ofk, we need only positive values ofk. Thus the solution is
(x, y) =Z0 A (k)sin ky sinh[k(a x)] dk
To find the function A (k) , we use the known potential V (y) at x = 0 :
(0, y) = V (y) =
Z
0
A (k)sin ky sinh ka dk
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We now make use of the orthogonality of the functions sin ky by multiplying both sides bysin k0y and integrating overy :Z
0
V (y)sin k0y dy =
Z
0
Z
0
A (k)sin ky sinh ka dk sin k0y dy
On the RHS, we haveZ
0
sin ky sin k0y dy =1
2
Z
0
[cos(k k0) y cos(k + k0) y] dy
=1
4
Z
0
nei(kk
0)y + ei(kk0)y ei(k+k0)y ei(k+k0)y
ody
=1
4
Z
{exp[i (k k0) y] exp[i (k + k0) y]} dy
=
2[(k k0) (k + k0)]
where we used Lea eqn 6.16. ThusZ
0
V (y)sin k0y dy =
2
Z
0
A (k)sinh ka [(k k0) (k + k0)] dk
Since k andk0 are both positive, only the first delta function contributes, and this integralreduces to Z
0
V (y)sin k0y dy =
2A (k0) sinh k0a
and thus, dropping the primes,
A (k) =2
Z
0
V (y)sin ky
sinh kady
For example, ifV (y) = V0ey/c, then
A (k) =2
Z0
V0e
y/c
sin ky
sinh ka dy
=1
i
V0sinh ka
e(ik1/c)y
ik 1c e
(ik1/c)y
ik 1c
0
=1
i
V0sinh ka
1ik 1c
1ik + 1c
=1
i
V0sinh ka
2ic2k
k2c2 + 1
and thus
(x, y) =V0
Z
0
2c2k2
k2c2 + 1
sin ky
k
sinh[k(a x)]sinh ka
dk
Analysis: We can see right away that our result is dimensionally correct. Also, since
x a, k(a x) ka and thussinh[k(a x)]
sinh ka 1
for all k, so the integral converges. I couldnt do this integral analytically, so lets computesome values in the case c = a:
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a2
, a2
/V0 =2
0.314 45 = 0.20019
a2
, a /V0
= 2
0.281 18 = 0.179
a2
, 2a
/V0 =2
0.119 04 = 7.5783 102
The potential decreases rapidly fory > a
2.3.3 A 3-D problem
Find the potential inside a cubical box of side a with grounded walls, except for the side at
z = a which has potential V0
h1 2xa 12i. This potential increases from zero at the
walls to V0 at x = a/2,as shown in the diagram.
0
0.2
0.4
0.6
0.8
1
ntial
0.2 0.4 0.6 0.8 1x/a
There is no charge inside the box, so the potential satisfies Laplaces equation:
2 = 02
x2
+ 2
y2
+ 2
z2
= 0
Try separating variables:
= XY ZThen
X00Y Z+ XY 00Z+ XY Z00 = 0or
X00
X+
Y00
Y+
Z00
Z= 0 (14)
For equation 14 to hold forall values ofx,y, z we must have:
X00
X= k1,
Y00
Y= k2,
Z00
Z= k3 andk1 + k2 + k3 = 0
The potential is zero at x = 0 and at x = a, so we needk1 to be negative, k1 =
2,which gives the solutions X = sin x andX = cos x, which have multiple zeros. Wechoose the sine function to make X(0) = 0, and then choose = n/a to make X(a) = 0.A similar reasoning gets Y = sin(my/a) . Then
k3 =
n2 + m2 2
a2
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and to make Z(0) = 0 the appropriate solution forZ is the sinh .
(x, y, z) =X
n,m=1
Anm sin n xa
sin m ya
sinhp
(n2 + m2) za
Finally we evaluate the potential at z = a :
V0
"1
2x
a 1
2#=
Xn,m=1
Anm sin nx
asin m
y
asinh
p(n2 + m2)
We make use of the orhogonality of the sines by multiplying both sides by
sin n0x/a sin m0y/a and integrating overx andy :Za0
Za0
V0
"1
2x
a 1
2#sin
n0
x
a
sin
m0
y
a
dxdy = An0m0
a2
4sinh
q(n0)2 + (m0)2
Drop the primes, and let u = 2x/a
1, to getZ1
1
V
1 u2
sin n
u + 1
2
a
2du
cos my/am/a
a0
= Anma2
4sinh
p(n2 + m2)
a
2
Z11
V0
1 u2 sin nu2
cosn
2+ cos
nu
2sin
n
2
du
1 (1)mm/a
= Anma2
4sinh
p(n2 + m2)(15)
The result is zero unless m is odd. When we integrate overu the sine term gives zerobecause we have an odd integrand over an even range. For the cosine term, we do integation
by parts:Z11
1 u2 cos nu
2du =
2
nsin
nu
2
+1
1
2Z10
u2 cosnu
2du
=4
n
sinn
2 2"u2 2
n
sinnu
2+1
0 2
2
nZ
1
0
u sinnu
2
du#Z11
1 u2 cos nu
2du =
4
nsin
n
2
2 2
nsin
n
2+ 2u
2
n
2cos
nu
2
+1
0
2
2
n
2 Z10
cosnu
2du
= 2"
23
(n)2cos
n
2 2
2
n
3sin
nu
2
+10
#
= 16(n)2
cosn
2+
32
(n)3sin
n
2
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and so the left hand side of (15) is
V0 a2
m
32
(n)3sin2 n
2 16
(n)2sin n
2cos n
2
!
= V0a2
m
16
(n)3(1 cos n) 8
(n)2sin n
!
= V0a2
m
16
(n)3 (1 (1)
n)
= V032a2
mn34form andn odd
Thus form odd andn odd
Anm = V0128
mn341
sinh
n2 + m2
So
(x, y, z) =128
4V0
Xm=1,odd
Xn=1,odd
1
mn3sin
nx
asin
my
a
sinh
n2 + m2 zasinh
n2 + m2
Analysis: The result is dimensionally correct, and converges nicely.
The plot shows the series up to m = n = 5. The black line is the potential as a functionofz forx = y = a/2, and the red line forx = y = a/4. The potential increases fasternear the center of the box, as expected, since the potential on the top side is maximum at
x = a/2. .
0
0.2
0.4
0.6
0.8
hi/V0
0.2 0.4 0.6 0.8 1z/a
At z = a/2, y = a/2 the potential versus x/a looks like this:
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0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
i/V0
0.2 0.4 0.6 0.8 1x/a
3 Conformal mapping
Recall that both the real and imaginary parts of an analytic function satisfy Laplaces
equation in two dimensions. We may use this fact to solve 2-d potential problems.
3.0.4 Potential in a wedge.
Suppose the region of interest is defined by the angular wedge 0 . Further supposethe potential is zero on the conducting boundaries at = 0 and = . Then the analyticfunction
f(z) = z/ = r/ei/ = r/
cos
+ i sin
has imaginary part
v (r, ) = r/ sin
that satisfies the boundary conditions. If = /m for some integer m, then f(z) isanalytic everywhere. If is an arbitrary real number, then f(z) may have a branch pointat the origin, but we may choose the branch cut so that f(z) is still analytic in our regioneverywhere except AT the origin. Thus v (r, ) also satisfies Laplaces equation in thevolume, and so it is a solution of the correct form. In fact the function f(z) = zn/ for anyn has the same nice properties. Thus the potential in a wedge-shaped region with openingangle and conducting boundaries at potential V0 is described by the complex potential
(z) = A + iV0 + nanzn/
The imaginary part is
V0 ++
Xn=
anrn/ sin
n
which is the potential in the region. The coefficients an must be chosen to satisfy anyremaining boundary conditions in r. Compare with Jackson 2.72 which he derives usingseparation of variables in plane polar coordinates.
The sum is over positive n if the origin is included within our region. The solutionnear the origin is dominated by the first (n = 1) term. Then the field near the origin has
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components
E = a1
r
/1 hsin
r + cos
i
Thus
E 0 as r 0 if/ > 1 but
E as r 0 if/ < 1. The field is small
in a hole ( < ) but very large near a spike ( > ).The diagram shows the cases of = /2 and3/2. For = /2, the equipotential
surfaces are
r2 sin2 = constant = 2xyThus the equipotentials are hyperbolae.
0 1 2 3 4 50
1
2
3
4
5
x
y
equipotentials andfield lines for = /2
-6 -4 -2 2 4 6 8 10 12
-6
-4
-2
24
6
8
10
12
x
y
= 3/2
We may use conformal mapping to find the potential in a 2-d boundary value problem
with more complex boundaries. See Lea Ch 2 section 2.8. We choose the mapping to
simplify the boundary shape, solve the simpler problem, and then map back.
4 Finite element analysis
The big idea: we want a procedure for numerically solving a potential problem for a
source g (x) in a region R with specified boundary conditions.Lets look at a Dirichlet problem in 2 dimensions.
We start with two general relations. First, if2 = g in R, thenZR
2 + g dxdy = 0
forany function . The next relation we need is Greens identity from Chapter 1 (Notes 2.5eqn 1).
Z2 +
dV =
ZS
ndA = 0
where we have chosen the function to be zero on the boundary. (Note: in a twodimensional problem the volume is an area and the bounding surface S is actually acurve.) Now inserting our differential equation for, we get:Z
R
g
dxdy = 0 (16)
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The next step is to set up a grid over the region R. We expand the desired solution in a setof functions ij each of which is zero except on a small region around the grid point (i, j) .For example, let:
ij =
( 1 |xxi|h
1 |yyj |h
for |x xi| < h, |y yj | < h
0 otherwise
and then let
(x, y) =Xk,l
klkl (x, y)
Effectively, the function kl smears the potential value kl over one grid square, convertinga set of numerical values kl into a continuous function. (x, y) . Now stuff this assumed
form into the integral 16, and take the function ij .ZR
Xk,l
kl kl ijdxdy =ZR
ijg (x, y) dxdy (17)
The integral on the right is non zero only on a square region surrounding (xi, yj) , andbecause the function ij is peaky we can approximate the integral as:Z
R
ijg (x, y) dxdy ' g (xi, yj)
Zsquare
ijdxdy
which may be evaluated as follows. Let u = x xi andv = y yj. Then:Zsquare
ijdxdy =
Zh0
1 u
h
du +
Z0h
1 +
u
h
du
!Zh0
1 v
h
dv +
Z0h
1 +
v
h
dv
!
=
h2
+ h2
h2
+ h2
= h2
Thus (17) becomes: Xk,l
kl
ZR
kl ijdxdy = h2g (xi, yj) (18)
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where the sum on the left is over all the grid points. However, the integrand is non-zero
only on a small rectangular region 2h by 2h surrounding the grid point (i, j). First note thatinside this square region,
ij = 1
h
1 v
h
x +
1 u
h
1
h
y
where in the first factor of each term we take the upper sign on the right half of our square
(0 < u < h) and the bottom sign on the left (h < u < 0); in the second factor we take thetop sign on the top of the box (0 < v < h) and the bottom sign on the bottom (h < v < 0).
Thus ifk = i andl = j:Zbox
ij i,jdxdy =1
h2
Zh0
Zh0
1 v
h
2+
1 uh
2dudv
+1
h2 Zh
0 Z0
h
1 +
v
h2
+ 1 u
h2
dudv+
1
h2
Z0h
Zh0
1 v
h
2+
1 +u
h
2dudv
+1
h2
Z0h
Z0h
1 +
v
h
2+
1 +u
h
2dudv
= 4
Z10
Z10
2 + 2
dd
=4
3
3+ 3
10
10
=8
3where in the four terms we took = 1 vh (terms1 and 3), = 1 + vh (terms 2 and 4), = 1 uh (terms1 and 2) or = 1 + uh (terms 3 and 4).
Also ifk = i + 1 andl = j :
i+1,j =
1 |x xi h|h
1 |y yj |
h
=
1 |u h|
h
1 |v|
h
for |u h| < h and |v| < h
and zero otherwise. The overlap region is on the right side of our box (0 < u < h) where
i+1,j =1
h
1 v
h
x +
u
h
1
h
y
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giving
Zbox
ij i+1,jdxdy = 1h2Zh0
Zh0
1 vh
2+
1 uh
uh
dudv
+1
h2
Z0h
Zh0
1 +v
h
2+
1 uh
uh
dudv
=
Z10
Z10
2 + (1 ) dd= 2
3
3+
2
2
3
3
1
0
1
0
= 2
1
2 2
3
= 1
3
We get the same result in all the overlap regions. Thus equation (18) may be written as amatrix equation:
K= Gwhere the matrix K is described as sparse it has only a few non-vanishing elements and
they are all near the diagonal, like this:
K =1
3
8 1 1 0 01 8 1 1 01 1 8 1 10 1 1 8 10 0 1 1 8
Matrices of this type are relatively easy to invert numerically. The column vectors andG
contain the values of the potential and the source at the grid points. and we have reduced the
potential problem to a matrix inversion.
= K1G
For regions with odd shapes, the square grid we used above does not fit very well.
Triangles of arbitrary size and shape can be fit onto a region of almost any shape. So now
well modify the method above to use triangles instead of squares. By varying the sizes and
shapes of the triangles we can also get better resolution where things change more rapidly.
The basic triangular element has vertices at points that we label 1,2 and 3 with
coordinates (x1, y1) , (x2, y2) , and(x3, y3) . We approximate the potential solution (x, y)in this triangle by a Taylor-series-type expansion of the form:
(x, y) = A + Bx + Cy
The 3 values of the potential at the 3 vertices give enough information to evaluate the 3
coefficients A, B andC. To make the numerical computation more efficient, it is convenient
to define three shape functions Ni (x, y) = ai + bix + ciy that have the properties:Ni (xi, yi) = 1
and
Ni (xj , yj) = 0, i 6= jThese functions are the analogue of the ij that we used with the square grid. They have the
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effect of smearing the potential at node i over the whole triangle. Then, for example, forN1we have:
a1 + b1x1 + c1y1 = 1
a1 + b1x2 + c1y2 = 0
a1 + b1x3 + c1y3 = 0
This set of equations has a nontrivial solution for the coefficients a, b andc if the determinant:
D =
1 x1 y11 x2 y2
1 x3 y3
6= 0
The determinant is:
D = x2y3 x3y2 + x3y1 x1y3 + x1y2 x2y1= (x2
x1) (y3
y1)
(x3
x1) (y2
y1)
This is related to the area of the triangle. To see how, remember that we can write the areausing the cross product:
A =1
2
1 2
where 1 and2 are vectors along the sides of the triangle. In terms of the coordinates:
1 = (x2 x1) x + (y2 y1) yand
2 = (x3 x1) x + (y3 y1) yThen
2A = (x2 x1) (y3 y1) (x3 x1) (y2 y1)and so
D = 2A
and so is never zero. Then the solution for the coefficients is:
a1 =1
2A(x2y3 x3y2)
b1 =1
2A(y2 y3)
c1 = 1
2A(x2 x3)
and similarly for the others.
Now the procedure runs pretty much as before. In equation (16) we take:
=Xj
jNj
where the sum is over all the vertices of all the triangles. Next take = Ni for one vertex of
one triangle. Then relation (16) becomes:3X
j=1
j
Ztriangle
Ni Nj dxdy =Z
gNi dxdy ' g (x, y)
ZNi dxdy
= g (x, y) A (ai + bix + ciy) (19)
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where x, y are the coordinates of the center of the triangle. Now using our solutions for thecoefficients, we have:
a1 + b1x + c1y =1
2A
(x2y3 x3y2) + (y2 y3)
(x1 + x2 + x3)
3 (x2 x3)
(y1 + y2 + y3)
3
=1
6A[x2y3 x3y2 + x1y2 x1y3 x2y1 + x3y1] =
D
6A=
1
3On the left hand side, we use the result that
Ni = bix+ciyand is constant over the area of the triangle, so (19) becomes
3Xj=1
j (bibj + cicj) A = g (x, y)A
3
To combine the triangles, we define
kij = (bibj + cicj) A (20)
Ifi = j, kii refers to a single node. For each internal node i we sum over all the trianglesconnected to that node.
Kii =X
triangles
kii
The elements kij , i 6= j, are associated with two nodes, i.e. with the side of the triangleconnecting the nodes. So we sum over all the triangles with a side along ij (usually two).
Kij =X
triangles
kij i < j N
If a node is on the boundary, the value of the potential there will be known. These terms
are moved to the right hand side and serve as source terms. So we have:
Gi = 13
Xtriangles
Atgt N0X
j=N+1
Kijj
where the numbers N + 1 to N0 label the nodes on the boundary.Then combining the results for all the triangles, we have the matrix equation:
K= G
where againK is a sparse matrix.
Example of how to get the kij. Consider an isoceles right triangle of sides 1,1 and
2.Put the origin at the right angle, and label the vertices 1 (the origin), 2 (on the y-axis) and 3(on the x-axis). Then the area of the triangle is 1/2, and 2A = 1
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.
a1 = x2y3 x3y2 = 0 1 = 1b1 = y2
y3 = 1
c1 = (x2 x3) = (1) = 1b2 = y3 y1 = 0
c2 = (x3 x1) = 1Then from (20) we get
k11 =1
2
b21 + c
21
=
1
2(1 + 1) = 1
k12 =1
2(b1b2 + c1c2) =
1
2(0 + 1 (1)) = 1
2and so on. (See Jackson Fig 2.16). These coefficients depend on the shape of the triangle
but not on its orientation or size.
24