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The concept of deterministic dynamical chaos has a long history and is well established by now. Nevertheless, its field theoretic essence and its stochastic generalization have been revealed only very recently. Within the newly found…

数学物理 · 物理学 2016-04-11 Igor V. Ovchinnikov , Robert N. Schwartz , Kang L. Wang

In this paper, we investigate numerically the stochastic ABC model, a toy model in the theory of astrophysical kinematic dynamos, within the recently proposed supersymmetric theory of stochastics (STS). STS characterises stochastic…

混沌动力学 · 物理学 2018-06-19 Igor V. Ovchinnikov , Yuquan Sun , Torsten A. Ensslin , Kang. L. Wang

It was recently established that the formalism of the generalized transfer operator (GTO) of dynamical systems (DS) theory, applied to stochastic differential equations (SDEs) of arbitrary form, belongs to the family of cohomological…

数学物理 · 物理学 2025-12-29 Igor V. Ovchinnikov

Many natural and engineered dynamical systems, including all living objects, exhibit signatures of what can be called spontaneous dynamical long-range order (DLRO). This order's omnipresence has long been recognized by the scientific…

数学物理 · 物理学 2019-04-30 Igor V. Ovchinnikov

The turbulent dynamo effect, which describes the generation of magnetic fields in astrophysical objects, is described by the dynamo equation. This, in the kinematic (linear) approximation gives an unbounded exponential growth of the long…

混沌动力学 · 物理学 2007-05-23 Abhik Basu

The small-scale kinematic dynamo in a two-dimensional chaotic flow is studied. The analytic approach is developed in framework of the Kraichnan-Kazantsev model. It is shown that the growth of magnetic field $\bm{B}$ fluctuations stops at…

混沌动力学 · 物理学 2016-03-30 Igor Kolokolov

Hydromagnetic dynamo theory provides the prevailing theoretical description for the origin of magnetic fields in the universe. Here we consider the problem of kinematic, small-scale dynamo action driven by a random, incompressible,…

等离子体物理 · 物理学 2011-03-10 Joanne Mason , Leonid Malyshkin , Stanislav Boldyrev , Fausto Cattaneo

Understanding the origin and evolution of magnetic fields on cosmological scales opens up a window into the physics of the early Universe. Numerical simulations of such fields require a careful treatment to faithfully solve the equations of…

宇宙学与河外天体物理 · 物理学 2025-08-28 Nikyta Shchutskyi , Matthieu Schaller , Orestis A. Karapiperis , Federico A. Stasyszyn , Axel Brandenburg

Dynamical chaos is a term that encompasses a wide range of nonlinear phenomena such as turbulence, neuronal avalanches, weather patterns, and many others. However, despite much work in the field of chaos, its fundamental physical origin…

混沌动力学 · 物理学 2026-05-05 Igor V. Ovchinnikov , Massimiliano Di Ventra

Astrophysical objects with negligible resistivity are often threaded by large scale magnetic fields. The generation of these fields is somewhat mysterious, since a magnetic field in a perfectly conducting fluid cannot change the flux…

天体物理学 · 物理学 2007-05-23 E. T. Vishniac , A. Lazarian , J. Cho

Using a closure model for the evolution of magnetic correlations, we uncover an interesting plausible saturated state of the small-scale fluctuation dynamo (SSD) and a novel anology between quantum mechanical tunneling and the generation of…

天体物理学 · 物理学 2007-05-23 Kandaswamy Subramanian

In many stochastic dynamical systems, ordinary chaotic behavior is preceded by a full-dimensional phase that exhibits 1/f-type power-spectra and/or scale-free statistics of (anti)instantons such as neuroavalanches, earthquakes, etc. In…

神经元与认知 · 定量生物学 2020-05-19 Igor V. Ovchinnikov , Wenyuan Li , Yuquan Sun , Robert N. Schwartz , Andrew E. Hudson , Karlheinz Meier , Kang L. Wang

We present a covariant framework of kinematics in the dS spacetime, which is a natural postulate of recent astronomical observations ($\Lambda>0)$. One-particle states are presented explicitly. It is noticed that the dispersion relation of…

天体物理学 · 物理学 2007-05-23 Zhe Chang , Shao-Xia Chen , Cheng-Bo Guan

Non-integrability in the sense of dynamical systems, also known as dynamical chaos, is a strongly nonlinear qualitative phenomenon. Its most promising theoretical descriptions are likely to emerge from non-perturbative approaches, with…

高能物理 - 理论 · 物理学 2025-03-25 Igor V. Ovchinnikov

The dynamic properties and independence structure of stochastic kinetic models (SKMs) are analyzed. An SKM is a highly multivariate jump process used to model chemical reaction networks, particularly those in biochemical and cellular…

统计理论 · 数学 2010-10-20 Clive G. Bowsher

Dynamic Mode Decomposition (DMD) is a technique to approximate generally non-linear dynamical systems using linear techniques, which are better understood and easier to analyze. Koopman theory extends DMD by transforming the original system…

最优化与控制 · 数学 2022-11-15 Sourya Dey

The present contribution investigates the well-posedness of a PDE system describing the evolution of a nematic liquid crystal flow under kinematic transports for molecules of different shapes. More in particular, the evolution of the {\em…

偏微分方程分析 · 数学 2015-05-28 Cecilia Cavaterra , Elisabetta Rocca

The turbulent small-scale dynamo (SSD) is likely to be responsible for the magnetisation of the interstellar medium (ISM) that we observe in the Universe today. The SSD efficiently converts kinetic energy $E_{\rm kin}$ into magnetic energy…

星系天体物理 · 物理学 2023-06-28 James R. Beattie , Christoph Federrath , Neco Kriel , Philip Mocz , Amit Seta

Single enzyme chemotaxis is a phenomenon by which a non-equilibrium spatial distribution of an enzyme is created and maintained by concentration gradients of the substrate and product of the catalyzed reaction. These gradients can arise…

软凝聚态物质 · 物理学 2022-06-14 Niladri Sekhar Mandal , Ayusman Sen , R. Dean Astumian

The self-excitation of magnetic field by a spiral Couette flow between two coaxial cylinders is considered. We solve numerically the fully nonlinear, three-dimensional MHD equations for magnetic Prandtl numbers Pm (ratio of kinematic…

天体物理学 · 物理学 2009-11-06 Wolfgang Dobler , Anvar Shukurov , Axel Brandenburg
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