743 research outputs found
Chaos in credit–constrained emerging economies with Leontief technology
This work provides a framework to analyze the role of financial development as a source of endogenous instability in emerging economies subject to moral hazard problems. We study a piecewise linear dynamic model describing a small open economy with a tradable good produced by internationally mobile capital and a country specific production factor, using Leontief technology. We demonstrate that emerging markets could be endogenously unstable when large capital in–flows increase risk and exacerbate asymmetric information problems, according to empirical evidence. Using bifurcation and stability analysis we describe the properties of the system attractors, we assess the plausibility for complex dynamics and we find out that border collision bifurcations can emerge.border collision bifurcations,,complex dynamics,,emerging economies,,CEECs,,Endogenous instability,,moral hazard,,piecewise linear map.
Global attractor in Solow growth model with differential savings and endogenic labor force growth
In this paper we study the dynamics of a discrete triangular system T in capital per capita and population growth representing the neoclassical growth model with CES production function and differential savings, under the assumption that the labor force growth rate is endogenous and described by a generic iterative scheme having a unique positive globally stable equilibrium. The study herewith presented aims at confirming the existence of a compact global attractor for system T along the invariant line. Consequently asymptotic dynamics of growth models with constant population growth rate can be related to those with non-constant population growth if the steady state rate is globally stable. Furthermore we prove that the system exhibits cycles or even chaotic dynamics patterns if shareholders save more than workers, when the elasticity of substitution between production factors drops below one (so that capital income declines). The analytical results are supplemented by numerical simulations.chaotic dynamics,,Compact global attractor,,Developing Countries,endogenic population growth.
Global Attractors of Non-autonomous Difference Equations
The article is devoted to the study of global attractors of quasi-linear non-autonomous difference equations, in particular we give the conditions for the existence of a compact global attractor. The obtained results are applied to the study of a triangular economic growth model recently developed by Brianzoni S., Mammana C. and Michetti E.Global attractors,Solow growth model,CGE,quasi-linear non-autonomous,difference equations,Endogenous population growth
Potential Effects of Amynthas Agrestis Invasion on Woody Understory Flora in the CVNP
Ohio forests are threatened by the invasive ecosystem engineer A. agrestis. A. agrestis invasion typically co-occurs with the ecosystem engineer, Odocoileus virginianus, where their impacts may synergize. To determine the direct effects of A. agrestis invasion, fenced plots across the Cuyahoga Valley National Park that excluded deer were utilized. The species richness, Shannon diversity and evenness of woody understory flora was measured in each plot. Mustard extraction was used to determine earthworm abundance. Correlations between abundance and measured variables were used to highlight potential invasion effects. Abundance and species richness was found to have a significant, positive correlation (p = 0.042, r = 0.67). Abundance and diversity, and abundance and evenness, were not significantly correlated (p = 0.16, r = 0.5, and p = 0.22, r = -0.48 respectively). Invasion by A. agrestis may facilitate an increase in species richness in the woody understory, while potentially having no significant impact on diversity and species evenness. These results contradict previous studies. However, these results match a previous study in the CVNP that also utilized fenced plots. This suggests that the direct effects of A. agrestis on woody understory flora may be different than those observed in the presence of White-tailed Deer
Invariant Manifolds, Global Attractors and Almost Periodic Solutions of Nonautonomous Difference equations
The article is devoted to the study of quasi-linear nonautonomous difference equations: invariant manifolds, compact global attractors, almost periodic and recurrent solutions and chaotic sets. First, we prove that such equations admit an invariant continuous section (an invariant manifold). Then, we obtain the conditions for the existence of a compact global attractor and characterize its structure. Third, we derive a criterion for the existence of almost periodic and recurrent solutions
of the quasi-linear nonautonomous difference equations. Finally, we prove that quasi-linear maps with chaotic base admit a chaotic compact invariant set. The obtained results are applied
while studying triangular maps: invariant manifolds, compact global attractors, almost periodic and recurrent solutions and chaotic sets
Continuous Dependence of Attractors on Parameters of Non-Autonomous Dynamical Systems and Infinite Iterated Function Systems
The paper is dedicated to the study of the problem of continuous
dependence of compact global attractors on parameters of non-autonomous dynamical systems and infinite iterated function systems (IIFS). We prove that if a family of non-autonomous dynamical systems depending on a parameter is uniformly contracting (in the generalized sense), then each system of this family admits a compact global attractor.
As an application we give a generalization of well known Theorem of Bransley concerning the continuous dependence of fractals on parameters
r-inscribable quadrilaterals
In this paper we characterize convex quadrilaterals that are
inscribable in a rectangle, i.e. they are r-inscribable. We also
study the problem of finding the rectangle of minimum area and the one of maximum area, if the convex quadrilateral is r-inscribable
Structural Flyby Characterization of Nanoporosity
Recently, Ferreira da Silva et al. [3] have performed a gradient pattern
analysis of a canonical sample set (CSS) of scanning force microscopy (SFM)
images of p-Si. They applied the so-called Gradient Pattern Analysis to images
of three typical p-Si samples distinguished by different absorption energy
levels and aspect ratios. Taking into account the measures of spatial
asymmetric fluctuations they interpreted the global porosity not only in terms
of the amount of roughness, but rather in terms of the structural complexity
(e.g., walls and fine structures as slots). This analysis has been adapted in
order to operate in a OpenGL flyby environment (the StrFB code), whose
application give the numerical characterization of the structure during the
flyby real time. Using this analysis we compare the levels of asymmetric
fragmentation of active porosity related to different materials as p-Si and
"porous diamond-like" carbon. In summary we have shown that the gradient
pattern analysis technique in a flyby environment is a reliable sensitive
method to investigate, qualitatively and quantitatively, the complex morphology
of active nanostructures
Compact Global Attractors of Discrete Inclusions
The paper is dedicated to the study of the problem of the existence of compact global attractors of
discrete inclusions and to the description of its structure.
We consider a family of continuous mappings of a
metric space W into itself; on the metric space
W we consider a discrete inclusion. We give sufficient
conditions for the existence of a compact
global attractor. If the family consists of a finite number of maps, then the corresponding compact global attractor is chaotic. We study this problem in the framework of non-autonomous dynamical systems (cocyles)
Chromatin segmentation based on a probabilistic model for read counts explains a large portion of the epigenome
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is an increasingly common experimental approach to generate genome-wide maps of histone modifications and to dissect the complexity of the epigenome. Here, we propose EpiCSeg: a novel algorithm that combines several histone modification maps for the segmentation and characterization of cell-type specific epigenomic landscapes. By using an accurate probabilistic model for the read counts, EpiCSeg provides a useful annotation for a considerably larger portion of the genome, shows a stronger association with validation data, and yields more consistent predictions across replicate experiments when compared to existing methods.The software is available at http://github.com/lamortenera/epicseg
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