28.7 Polymer Conformation 1195
The difference equation will maintain the normalization
∑∞
x−∞
∑∞
y−∞
∑∞
z−∞
p(n,x,y,z) 1 (28.7-3)
where the summations are over all values ofx,y, andzcorresponding to lattice points
and where we recognize that the lattice is not limited in size (although the probabilities
for locations very far from the origin will be zero).
We define a one-dimensional probability by summingp(n+1,x,y,z) over all val-
ues ofyandz. We omit the limits on the sum and write
p(n+1,x)
∑
y
∑
z
p(n+1,x,y,z) (28.7-4)
which is the probability that the end of link numbern+1isatx, irrespective of the
yandzvalues. Equation (28.7-1) is now summed over all values ofyandzto give
p(n+1,x)
1
6
[p(n,x+a)+ 4 p(n,x)+p(n,x−a)] (28.7-5)
where we have recognized that theyandzdirections are mathematically equivalent so
that four terms are equal to each other after the summation.
A variable that characterizes the width of a distribution is the mean of the square of
the distance, called thesecond momentor thevariance, which is equal to the square
of the standard deviation of the distribution. The variance of thexcoordinate for link
numbern+1 is given by
〈x^2 〉n+ 1
∑
x
x^2 p(n+1,x)
1
6
∑
x
x^2 p(n,x+a)+
2
3
∑
x
x^2 p(n,x)+
1
6
∑
x
x^2 p(n,x−a) (28.7-6)
In the first term letx+ax′, and in the third sum letx−ax′′. The second sum is
equal to〈x^2 〉n, so that
〈x^2 〉n+ 1
1
6
∑
x′
(
x′^2 − 2 ax′+a^2
)
p
(
n,x′
)
+
2
3
〈x^2 〉n
+
1
6
∑
x′′
(
x′′^2 + 2 ax′′+a^2
)
p
(
n,x′′
)
(28.7-7)
Since the limits of the sum are−∞to∞, there is no distinction between a sum
overx,x′,orx′′after the summation is done. Therefore, we can replacex′orx′′byx
in the sums. The two sums containing 2axcancel. The two sums containingx^2 give
〈x^2 〉n, and the two sums containinga^2 can be combined:
〈x^2 〉n+ 1
(
2
3
+
2
6
)
〈x^2 〉n+
2
3
a^2
∑
x
p(n,x)〈x^2 〉n+
a^2
3
(28.7-8)
where we have used the fact that the distribution is normalized as in Eq. (28.7-3).
Equation (28.7-8) is arecursion relation, analogous to the recursion relation used in
the solution of the Schrödinger equation for the harmonic oscillator in Chapter 15.
If the value forn0 is known the value forn1 can be calculated, and from