Next: Appendix B
Up: The Gaussian chain
Previous: One Gaussian chain in
In the case of a freely rotating chain it is rather easy to calculate the mean square
end-to-end vector, the radius of gyration and the persistence length.
The freely rotating chain is defined by saying that the angles
are fixed and that all
may randomly take a value in .
In order to treat this chain mathematically we introduce the probability
density in configuration space
and define
So
is the probability density to find the
first n bond vectors in the configuration
,
and
is the conditional
probability density to find bond vector n in state ,
given that
the preceding vectors are in configuration
.
Integrating Eq. (3.35) over
and using Eq. (3.34) we obtain
|
(3.36) |
In our case
|
(3.37) |
i.e. the conditional probability to have vector n in state depends only on the state of vector n-1. In mathematics it is said that
the chain has the Markov property. Using the definitions given so far we may
write
|
(3.38) |
We may now easily calculate all quantities of interest.
We first notice, that in the present case
|
(3.39) |
Repeatedly using this equation we calculate
Using this in Eqs. (1.29) and (1.44) we get for large N :
Another quantity characteristic of the chain is the persistence length . It is defined by
|
(3.43) |
and it gives the average of the projection of the end-to-end vector on the
direction of the first bond. For large N we may write Eq. (1.29
) like
from which we get
|
(3.44) |
We see that for a rod the persistence length is infinite.
Next: Appendix B
Up: The Gaussian chain
Previous: One Gaussian chain in
W.J. Briels