28 research outputs found
The shape of invasion perclation clusters in random and correlated media
The shape of two-dimensional invasion percolation clusters are studied
numerically for both non-trapping (NTIP) and trapping (TIP) invasion
percolation processes. Two different anisotropy quantifiers, the anisotropy
parameter and the asphericity are used for probing the degree of anisotropy of
clusters. We observe that in spite of the difference in scaling properties of
NTIP and TIP, there is no difference in the values of anisotropy quantifiers of
these processes. Furthermore, we find that in completely random media, the
invasion percolation clusters are on average slightly less isotropic than
standard percolation clusters. Introducing isotropic long-range correlations
into the media reduces the isotropy of the invasion percolation clusters. The
effect is more pronounced for the case of persisting long-range correlations.
The implication of boundary conditions on the shape of clusters is another
subject of interest. Compared to the case of free boundary conditions, IP
clusters of conventional rectangular geometry turn out to be more isotropic.
Moreover, we see that in conventional rectangular geometry the NTIP clusters
are more isotropic than TIP clusters
Geometrical Properties of Two-Dimensional Interacting Self-Avoiding Walks at the Theta-Point
We perform a Monte Carlo simulation of two-dimensional N-step interacting
self-avoiding walks at the theta point, with lengths up to N=3200. We compute
the critical exponents, verifying the Coulomb-gas predictions, the theta-point
temperature T_theta = 1.4986(11), and several invariant size ratios. Then, we
focus on the geometrical features of the walks, computing the instantaneous
shape ratios, the average asphericity, and the end-to-end distribution
function. For the latter quantity, we verify in detail the theoretical
predictions for its small- and large-distance behavior.Comment: 23 pages, 4 figure
Corrections to scaling in 2--dimensional polymer statistics
Writing for the mean
square end--to--end length of a self--avoiding polymer chain of
links, we have calculated for the two--dimensional {\em continuum}
case from a new {\em finite} perturbation method based on the ground state of
Edwards self consistent solution which predicts the (exact) exponent.
This calculation yields . A finite size scaling analysis of data
generated for the continuum using a biased sampling Monte Carlo algorithm
supports this value, as does a re--analysis of exact data for two--dimensional
lattices.Comment: 10 pages of RevTex, 5 Postscript figures. Accepted for publication in
Phys. Rev. B. Brief Reports. Also submitted to J. Phys.
Scaling of Self-Avoiding Walks in High Dimensions
We examine self-avoiding walks in dimensions 4 to 8 using high-precision
Monte-Carlo simulations up to length N=16384, providing the first such results
in dimensions on which we concentrate our analysis. We analyse the
scaling behaviour of the partition function and the statistics of
nearest-neighbour contacts, as well as the average geometric size of the walks,
and compare our results to -expansions and to excellent rigorous bounds
that exist. In particular, we obtain precise values for the connective
constants, , , ,
and give a revised estimate of . All of
these are by at least one order of magnitude more accurate than those
previously given (from other approaches in and all approaches in ).
Our results are consistent with most theoretical predictions, though in
we find clear evidence of anomalous -corrections for the scaling of
the geometric size of the walks, which we understand as a non-analytic
correction to scaling of the general form (not present in pure
Gaussian random walks).Comment: 14 pages, 2 figure
Two-Dimensional Polymers with Random Short-Range Interactions
We use complete enumeration and Monte Carlo techniques to study
two-dimensional self-avoiding polymer chains with quenched ``charges'' .
The interaction of charges at neighboring lattice sites is described by . We find that a polymer undergoes a collapse transition at a temperature
, which decreases with increasing imbalance between charges. At the
transition point, the dependence of the radius of gyration of the polymer on
the number of monomers is characterized by an exponent , which is slightly larger than the similar exponent for homopolymers. We
find no evidence of freezing at low temperatures.Comment: 4 two-column pages, 6 eps figures, RevTex, Submitted to Phys. Rev.
N-vector spin models on the sc and the bcc lattices: a study of the critical behavior of the susceptibility and of the correlation length by high temperature series extended to order beta^{21}
High temperature expansions for the free energy, the susceptibility and the
second correlation moment of the classical N-vector model [also known as the
O(N) symmetric classical spin Heisenberg model or as the lattice O(N) nonlinear
sigma model] on the sc and the bcc lattices are extended to order beta^{21} for
arbitrary N. The series for the second field derivative of the susceptibility
is extended to order beta^{17}. An analysis of the newly computed series for
the susceptibility and the (second moment) correlation length yields updated
estimates of the critical parameters for various values of the spin
dimensionality N, including N=0 [the self-avoiding walk model], N=1 [the Ising
spin 1/2 model], N=2 [the XY model], N=3 [the Heisenberg model]. For all values
of N, we confirm a good agreement with the present renormalization group
estimates. A study of the series for the other observables will appear in a
forthcoming paper.Comment: Revised version to appear in Phys. Rev. B Sept. 1997. Revisions
include an improved series analysis biased with perturbative values of the
scaling correction exponents computed by A. I. Sokolov. Added a reference to
estimates of exponents for the Ising Model. Abridged text of 19 pages, latex,
no figures, no tables of series coefficient