23,305 research outputs found
Random Regular Graphs are not Asymptotically Gromov Hyperbolic
In this paper we prove that random --regular graphs with have
traffic congestion of the order where is the number
of nodes and geodesic routing is used. We also show that these graphs are not
asymptotically --hyperbolic for any non--negative almost
surely as .Comment: 6 pages, 2 figure
Scaling of Congestion in Small World Networks
In this report we show that in a planar exponentially growing network
consisting of nodes, congestion scales as independently of
how flows may be routed. This is in contrast to the scaling of
congestion in a flat polynomially growing network. We also show that without
the planarity condition, congestion in a small world network could scale as low
as , for arbitrarily small . These extreme results
demonstrate that the small world property by itself cannot provide guidance on
the level of congestion in a network and other characteristics are needed for
better resolution. Finally, we investigate scaling of congestion under the
geodesic flow, that is, when flows are routed on shortest paths based on a link
metric. Here we prove that if the link weights are scaled by arbitrarily small
or large multipliers then considerable changes in congestion may occur.
However, if we constrain the link-weight multipliers to be bounded away from
both zero and infinity, then variations in congestion due to such remetrization
are negligible.Comment: 8 page
Two-component plasma in a gravitational field
In this paper we study a model for the sedimentation equilibrium of a charged
colloidal suspension: the two-dimensional two-component plasma in a
gravitational field which is exactly solvable at a special value of the reduced
inverse temperature Gamma=2. The density profiles are computed. The heavy
particles accumulate at the bottom of the cointainer. If the container is high
enough, an excess of light counterions form a cloud floating at some altitude.Comment: 17 pages, 3 Encapsulated Postscript figures, LaTeX with the graphicx
packag
Imitation dynamics in a game of traffic
We study a model of traffic where drivers adopt different behavioral
strategies. These can be cooperative or defective according to a driver abiding
or not by a traffic rule. Drivers can change their strategy by imitating the
majority, with a rule that depends on the strategies with which they have
interacted. These interactions occur at intersections, where vehicles pay a
temporal cost according to their strategy. We analyze the conditions under
which different strategy compositions represent an advantage in the system
velocity. We found that the cooperators' mean speed is higher than the
defectors' even when the vehicle density is large. However, defectors can
obtain benefits in their mean speed when they are a minority in an essentially
cooperative population. The presence of a core of educated drivers, who persist
firmly in a cooperative behavior, optimizes the speed in the system, especially
for intermediate values of vehicular density and higher temporal costs
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