6 results match your criteria: "United Kingdom and Max Planck Institute for the Physics of Complex Systems[Affiliation]"

Transition to anomalous dynamics in a simple random map.

Chaos

February 2024

London Mathematical Laboratory, 8 Margravine Gardens, London W6 8RH, United Kingdom.

The famous doubling map (or dyadic transformation) is perhaps the simplest deterministic dynamical system exhibiting chaotic dynamics. It is a piecewise linear time-discrete map on the unit interval with a uniform slope larger than one, hence expanding, with a positive Lyapunov exponent and a uniform invariant density. If the slope is less than one, the map becomes contracting, the Lyapunov exponent is negative, and the density trivially collapses onto a fixed point.

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PUF60 is a splicing factor that binds uridine (U)-rich tracts and facilitates association of the U2 small nuclear ribonucleoprotein with primary transcripts. PUF60 deficiency (PD) causes a developmental delay coupled with intellectual disability and spinal, cardiac, ocular and renal defects, but PD pathogenesis is not understood. Using RNA-Seq, we identify human PUF60-regulated exons and show that PUF60 preferentially acts as their activator.

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Gene expression dynamics with stochastic bursts: Construction and exact results for a coarse-grained model.

Phys Rev E

February 2016

Center for the Study of Complex Systems, University of Michigan, Ann Arbor, Michigan 48109-1107 USA; Department of Mathematics, University of Michigan, Ann Arbor, Michigan 48109-1043 USA; and Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040 USA.

We present a theoretical framework to analyze the dynamics of gene expression with stochastic bursts. Beginning with an individual-based model which fully accounts for the messenger RNA (mRNA) and protein populations, we propose an expansion of the master equation for the joint process. The resulting coarse-grained model reduces the dimensionality of the system, describing only the protein population while fully accounting for the effects of discrete and fluctuating mRNA population.

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Origin of the exponential decay of the Loschmidt echo in integrable systems.

Phys Rev E Stat Nonlin Soft Matter Phys

February 2014

Department of Mathematics and Information Sciences, Northumbria University, Newcastle Upon Tyne, NE1 8ST, United Kingdom and Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Straße 38, D-01187 Dresden, Germany.

We address the time decay of the Loschmidt echo, measuring the sensitivity of quantum dynamics to small Hamiltonian perturbations, in one-dimensional integrable systems. Using a semiclassical analysis, we show that the Loschmidt echo may exhibit a well-pronounced regime of exponential decay, similar to the one typically observed in quantum systems whose dynamics is chaotic in the classical limit. We derive an explicit formula for the exponential decay rate in terms of the spectral properties of the unperturbed and perturbed Hamilton operators and the initial state.

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Large-scale chaos and fluctuations in active nematics.

Phys Rev Lett

July 2014

Service de Physique de l'Etat Condensé, CNRS URA 2464, CEA-Saclay, 91191 Gif-sur-Yvette, France and Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Straße 38, 01187 Dresden, Germany and LPTMC, CNRS UMR 7600, Université Pierre et Marie Curie, 75252 Paris, France.

We show that dry active nematics, e.g., collections of shaken elongated granular particles, exhibit large-scale spatiotemporal chaos made of interacting dense, ordered, bandlike structures in a parameter region including the linear onset of nematic order.

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Endemic infections are always possible on regular networks.

Phys Rev E Stat Nonlin Soft Matter Phys

October 2013

Warwick Mathematics Institute, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, United Kingdom and Centre for Complexity Science, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, United Kingdom and Warwick Infectious Disease Epidemiology Research (WIDER) Centre, University of Warwick, Gibbet Hill Road, Coventry CV4 7AL, United Kingdom and Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Strasse 38, Dresden D-01187, Germany.

We study the dependence of the largest component in regular networks on the clustering coefficient, showing that its size changes smoothly without undergoing a phase transition. We explain this behavior via an analytical approach based on the network structure, and provide an exact equation describing the numerical results. Our work indicates that intrinsic structural properties always allow the spread of epidemics on regular networks.

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