1. Introduction and Brief Overview
The Random Walk Polymer has three main goals. First, by
watching random walk
polymers being generated one gains an appreciation for the differences
that exist between
the sizes and shapes of individual molecules and the average size calculated
from a large
collection or ensemble of molecules. Second, the program illustrates
the effects that a
variety of physical obstacles have on the average size and shape of
random walk
polymers. Third, some of the systems appearing in The Random
Walk Polymer have been
studied theoretically. In particular, three of the systems have
been studied using the so-
called diffusion equation method. Some of the theoretically predicted
quantities will be
compared to analogous quantities calculated from the configurations
generated by the
program. Hopefully the few systems appearing in The Random
Walk Polymer will
indicate the variety of polymer phenomena that can be studied using
this simple model of
a polymer molecule.
A random walk polymer is a very simple model of a polymer. At
its most basic level,
this model omits nearly all chemical details (identities of the atoms,
bond angles, side
groups, intermolecular interactions) retaining the following
characteristics of
macromolecules: they are made up of a large number of small units,
the units are
connected end-to-end, and they can exist in a large number of configurations.
The units
are analogous to monomers and their end-to-end connections give a linear
structure.
The configurational aspect of these polymers can be appreciated by looking
at the way
The Random Walk Polymer generates "molecules". One end
of the polymer is placed at
the origin of a simple cubic lattice. The program then generates
a random integer from 1
to 6 corresponding to the six possible positions adjacent to the origin
(left, right, above,
below, front, back) and draws a line segment from the origin to this
randomly selected
site. This site becomes the new origin, another random number
is generated, and the
second segment or unit is drawn. This process continues until
a predetermined number of
segments have been drawn. Each segment can be thought of as one
step and since the
direction of each step is determined at random the entire polymer is
the result of a random
walk. But this particular random walk is only one of many possibilities.
If one went back
to the starting point of the first polymer and took another random
walk, its path would
most likely be very different from the first. Each random walk
is one configuration of a
polymer.
The random walk model completely ignores identifying specific atoms.
The model,
as it is implemented in The Random Walk Polymer has unrealistic
bond angles -- 1800,
900, and 00
-- where this last bond angle occurs whenever a step backtracks on to the
immediately preceding step. The model also allows two or more
segments to occupy the
same site, even when they are far away from each other along the contour
of the polymer.
These features of the model may seem to be weaknesses. However,
ignoring the atomic
identities and allowing these bond angles, which are often thought
of as local or short
range details, gives a model that captures some of the global or long
range properties of
polymers, properties that all flexible linear polymers are expected
to possess. Indeed,
under appropriate solvent and temperature conditions (theta conditions),
the size of a real
flexible polymer, as measured by light scattering experiments, is proportional
to the
square root of the molecular weight. The average size of random
walk polymers is also
proportional to the square root of the number of segments (i.e., molecular
weight).
Random walk polymers have also been used in theories of gel permeation
chromatography, rubber elasticity, and the stabilization/destabilization
of colloids.
The Random Walk Polymer uses this simple model to investigate
the configurational
characteristics of isolated polymer molecules in a variety of environments.
The first part
of The Random Walk Polymer generates polymer configurations
in bulk solution,
determines the probability distribution of the end-to-end distances,
and calculates several
average sizes. The second part considers a random walk polymer
near a nonadsorbing
planar boundary such as an air-solution or solid-solution interface.
The polymer
concentration profile near the boundary and the component of the mean
square end-to-end
distance perpendicular to the barrier are displayed. Part three
generates configurations
between two planar boundaries. The concentration profiles of
the polymers are displayed
and the equilibrium constants for the partitioning of polymers between
bulk solution and
the confined region are calculated for each molecular weight species.
A simple model of
size exclusion chromatography completes this part. In parts four
and five the random
walks start at the surface of a solid object, either an infinitely
long square fiber or a
rectangular particle, and the resulting polymers are classified as
either allowed or
forbidden. The fraction of polymers in each class and their average
sizes are calculated
and displayed. Since the dimensions of the objects can be varied
systematically, one can
look for trends in the fractions of allowed configurations and their
average sizes.
Some mention must be made of two length scales used throughout The
Random Walk
Polymer. First, the length of a single step or segment,
l, is taken to be unity. A second
length (2 N / 3)1/2 = (6 N
)1/2 / 3 = l
/ l arises repeatedly in the theoretical treatment discussed
later and is used as a scale factor in many of the figures. This
second length is
proportional to the root mean square end-to-end distance, N
1/2 l, of a random walk
polymer comprised of N segments each of length l.
The remainder of this booklet describes the features of The
Random Walk Polymer in
more detail. The diffusion equation model and all of the theoretical
calculations that
appear in the program are discussed in the final section. Some
suggestions for using this
program are also provided. Finally, some references to books
and articles that provide
additional information or more complete discussions are listed in the
bibliography.
Table of Contents