Results 41 to 50 of about 306,029 (281)

Absorbing state phase transitions with quenched disorder

open access: yes, 2004
Quenched disorder - in the sense of the Harris criterion - is generally a relevant perturbation at an absorbing state phase transition point. Here using a strong disorder renormalization group framework and effective numerical methods we study the ...
A. Daerr   +15 more
core   +1 more source

Random Time Dynamical Systems

open access: yes, 2021
arXiv admin note: text overlap with arXiv:2012 ...
Capuani, R.   +4 more
openaire   +2 more sources

Distributional chaos in random dynamical systems [PDF]

open access: yesJournal of Difference Equations and Applications, 2019
In this paper, we introduce the notion of distributional chaos and the measure of chaos for random dynamical systems generated by two interval maps. We give some sufficient conditions for a zero measure of chaos and examples of chaotic systems. We demonstrate that the chaoticity of the functions that generate a system does not, in general, affect the ...
Jozef Kováč, Katarína Janková
openaire   +2 more sources

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

open access: yesFEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka   +11 more
wiley   +1 more source

Smooth linearization of contractive random dynamical systems in continuous time

open access: yesElectronic Journal of Qualitative Theory of Differential Equations
We establish that uniformly exponentially stable random dynamical systems on the half line have equivalent dynamics through a $C^m$-conjugacy. This result was obtained for random differential equations as well as for random dynamical systems with a ...
Iryna Vasylieva
doaj   +1 more source

On the non-randomness of modular arithmetic progressions: a solution to a problem by V. I. Arnold [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2006
We solve a problem by V. I. Arnold dealing with "how random" modular arithmetic progressions can be. After making precise how Arnold proposes to measure the randomness of a modular sequence, we show that this measure of randomness takes a simplified form
Eda Cesaratto   +2 more
doaj   +1 more source

Pesin's Formula for Random Dynamical Systems on $R^d$

open access: yes, 2012
Pesin's formula relates the entropy of a dynamical system with its positive Lyapunov exponents. It is well known, that this formula holds true for random dynamical systems on a compact Riemannian manifold with invariant probability measure which is ...
D Ruelle   +8 more
core   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

Probability Density Evolution Algorithm for Stochastic Dynamical Systems Based on Fractional Calculus

open access: yesJournal of Mathematics, 2021
With the increasing load and speed of trains, the problems caused by various random excitations (such as safety and passenger comfort) have become more prominent and thus arises the necessity to analyze stochastic dynamical systems, which is important in
Yang Yan, Xiaohong Yu
doaj   +1 more source

Contraction analysis of nonlinear random dynamical systems [PDF]

open access: yes, 2013
In order to bring contraction analysis into the very fruitful and topical fields of stochastic and Bayesian systems, we extend here the theory describes in \cite{Lohmiller98} to random differential equations.
Slotine, Jean-Jacques, Tabareau, Nicolas
core   +4 more sources

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