6 research outputs found
Topological transition in disordered planar matching: combinatorial arcs expansion
In this paper, we investigate analytically the properties of the disordered
Bernoulli model of planar matching. This model is characterized by a
topological phase transition, yielding complete planar matching solutions only
above a critical density threshold. We develop a combinatorial procedure of
arcs expansion that explicitly takes into account the contribution of short
arcs, and allows to obtain an accurate analytical estimation of the critical
value by reducing the global constrained problem to a set of local ones. As an
application to a toy representation of the RNA secondary structures, we suggest
generalized models that incorporate a one-to-one correspondence between the
contact matrix and the RNA-type sequence, thus giving sense to the notion of
effective non-integer alphabets.Comment: 28 pages, 6 figures, published versio
New phase transition in random planar diagrams and RNA-type matching
We study the planar matching problem, defined by a symmetric random matrix
with independent identically distributed entries, taking values 0 and 1. We
show that the existence of a perfect planar matching structure is possible only
above a certain critical density, , of allowed contacts (i.e. of '1').
Using a formulation of the problem in terms of Dyck paths and a matrix model of
planar contact structures, we provide an analytical estimation for the value of
the transition point, , in the thermodynamic limit. This estimation is
close to the critical value, , obtained in numerical
simulations based on an exact dynamical programming algorithm. We characterize
the corresponding critical behavior of the model and discuss the relation of
the perfect-imperfect matching transition to the known molten-glass transition
in the context of random RNA secondary structure's formation. In particular, we
provide strong evidence supporting the conjecture that the molten-glass
transition at T=0 occurs at .Comment: 8 pages, 6 figures (we have added the new fig.4
On predicting regulatory genes by analysis of functional networks in C. elegans
International audienc