30,566 research outputs found
Long-Range Connections in Transportation Networks
Since its recent introduction, the small-world effect has been identified in
several important real-world systems. Frequently, it is a consequence of the
existence of a few long-range connections, which dominate the original regular
structure of the systems and implies each node to become accessible from other
nodes after a small number of steps, typically of order .
However, this effect has been observed in pure-topological networks, where the
nodes have no spatial coordinates. In this paper, we present an alalogue of
small-world effect observed in real-world transportation networks, where the
nodes are embeded in a hree-dimensional space. Using the multidimensional
scaling method, we demonstrate how the addition of a few long-range connections
can suubstantially reduce the travel time in transportation systems. Also, we
investigated the importance of long-range connections when the systems are
under an attack process. Our findings are illustrated for two real-world
systems, namely the London urban network (streets and underground) and the US
highways network enhanced by some of the main US airlines routes
Sznajd Complex Networks
The Sznajd cellular automata corresponds to one of the simplest and yet most
interesting models of complex systems. While the traditional two-dimensional
Sznajd model tends to a consensus state (pro or cons), the assignment of the
contrary to the dominant opinion to some of its cells during the system
evolution is known to provide stabilizing feedback implying the overall system
state to oscillate around null magnetization. The current article presents a
novel type of geographic complex network model whose connections follow an
associated feedbacked Sznajd model, i.e. the Sznajd dynamics is run over the
network edges. Only connections not exceeding a maximum Euclidean distance
are considered, and any two nodes within such a distance are randomly selected
and, in case they are connected, all network nodes which are no further than
are connected to them. In case they are not connected, all nodes within
that distance are disconnected from them. Pairs of nodes are then randomly
selected and assigned to the contrary of the dominant connectivity. The
topology of the complex networks obtained by such a simple growth scheme, which
are typically characterized by patches of connected communities, is analyzed
both at global and individual levels in terms of a set of hierarchical
measurements introduced recently. A series of interesting properties are
identified and discussed comparatively to random and scale-free models with the
same number of nodes and similar connectivity.Comment: 10 pages, 4 figure
Arbitrary bi-dimensional finite strain crack propagation
In the past two decades numerous numerical procedures for crack propagation have been developed. Lately,
enrichment methods (either local, such as SDA or global, such as XFEM) have been applied with success to simple
problems, typically involving some intersections. For arbitrary finite strain propagation, numerous difficulties are
encountered: modeling of intersection and coalescence, step size dependence and the presence of distorted finite
elements. In order to overcome these difficulties, an approach fully capable of dealing with multiple advancing
cracks and self-contact is presented (see Fig.1). This approach makes use of a coupled Arbitrary Lagrangian-Eulerian
method (ALE) and local tip remeshing. This is substantially less costly than a full remeshing while retaining its full
versatility. Compared to full remeshing, angle measures and crack paths are superior. A consistent continuationbased
linear control is used to force the critical tip to be exactly critical, while moving around the candidate set.
The critical crack front is identified and propagated when one of the following criteria reaches a material limiting
value: (i) the stress intensity factor; or (ii) the element-ahead tip stress. These are the control equations.
The ability to solve crack intersection and coalescence problems is shown. Additionally, the independence from
crack tip and step size and the absence of blade and dagger-shaped finite elements is observed. Classic benchmarks
are computed leading to excellent crack path and load-deflection results, where convergence rate is quadratic
The Redner - Ben-Avraham - Kahng cluster system
We consider a coagulation model first introduced by Redner, Ben-Avraham and
Krapivsky in [Redner, Ben-Avraham, Kahng: Kinetics of 'cluster eating', J.
Phys. A: Math. Gen., 20 (1987), 1231-1238], the main feature of which is that
the reaction between a j-cluster and a k-cluster results in the creation of a
|j-k|-cluster, and not, as in Smoluchowski's model, of a (j+k)-cluster. In this
paper we prove existence and uniqueness of solutions under reasonably general
conditions on the coagulation coefficients, and we also establish
differenciability properties and continuous dependence of solutions. Some
interesting invariance properties are also proved. Finally, we study the
long-time behaviour of solutions, and also present a preliminary analysis of
their scaling behaviour.Comment: 24 pages. 2 figures. Dedicated to Carlos Rocha and Luis Magalhaes on
the occasion of their sixtieth birthday
On the convergence to critical scaling profiles in submonolayer deposition models
In this work we study the rate of convergence to similarity profiles in a
mean field model for the deposition of a submonolayer of atoms in a crystal
facet, when there is a critical minimal size for the stability of the
formed clusters. The work complements recently published related results by the
same authors in which the rate of convergence was studied outside of a critical
direction in the cluster size vs. time plane. In this paper
we consider a different similarity variable, ,
corresponding to an inner expansion of that critical direction, and prove the
convergence of solutions to a similarity profile when with fixed, as well as the rate at which the limit is
approached.Comment: Dedicated to the memory of Jack Car
Rates of convergence to scaling profiles in a submonolayer deposition model and the preservation of memory of the initial condition
We establish rates of convergence of solutions to scaling (or similarity)
profiles in a coagulation type system modelling submonolayer deposition. We
prove that, although all memory of the initial condition is lost in the
similarity limit, information about the large cluster tail of the initial
condition is preserved in the rate of approach to the similarity profile. The
proof relies in a change of variables that allows for the decoupling of the
original infinite system of ordinary differential equations into a closed
two-dimensional nonlinear system for the monomer--bulk dynamics and a lower
triangular infinite dimensional linear one for the cluster dynamics. The
detailed knowledge of the long time monomer concentration, which was obtained
earlier by Costin et al. in (O. Costin, M. Grinfeld, K.P. O'Neill and H. Park,
Long-time behaviour of point islands under fixed rate deposition, Commun. Inf.
Syst. 13, (2), (2013), pp.183-200) using asymptotic methods and is rederived
here by center manifold arguments, is then used for the asymptotic evaluation
of an integral representation formula for the concentration of -clusters.
The use of higher order expressions, both for the Stirling expansion and for
the monomer evolution at large times allow us to obtain, not only the
similarity limit, but also the rate at which it is approached.Comment: Revised according to referee's suggestions; to be published in SIAM
J. Math. Ana
The Redner - Ben-Avraham - Kahng coagulation system with constant coefficients: the finite dimensional case
We study the behaviour as of solutions to the
Redner--Ben-Avraham--Kahng coagulation system with positive and compactly
supported initial data, rigorously proving and slightly extending results
originally established in [4] by means of formal arguments.Comment: 13 pages, 1 figur
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