Journal of Dynamics and Differential Equations最新文献

Affine flows on vector bundles with chain transitive base flow are lifted to linear flows and the decomposition into exponentially separated subbundles provided by Selgrade’s theorem is determined. The results are illustrated by an application to affine control systems with bounded control range.

The aim of this paper is to construct invariant manifolds for a coupled system, consisting of a parabolic equation and a second-order ordinary differential equation, set on (mathbb {T}^3) and subject to periodic boundary conditions. Notably, the “spectral gap condition" does not hold for the system under consideration, leading to the use of the spatial averaging principle, together with the graph transform method. This approach facilitates the construction of the relevant invariant manifold, characterized by attributes such as Lipschitz continuity, local invariance, infinite dimensionality, and exponential tracking, thus mirroring the properties traditionally associated with a classical global manifold.

We found a dichotomy involving rigidity and measure of maximal entropy of a (C^{infty })-special Anosov endomorphism of the 2-torus. Considering (widetilde{m} ) the measure of maximal entropy of a (C^{infty })-special Anosov endomorphism of the 2-torus, either (widetilde{m}) satisfies the Pesin formula (in this case we get smooth conjugacy with the linearization) or there is a set Z, such that (widetilde{m}(Z) = 1,) but Z intersects every unstable leaf on a set of zero measure of the leaf. Also, we can characterize the absolute continuity of the intermediate foliation for a class of volume-preserving special Anosov endomorphisms of (mathbb {T}^3).

Abstract

The collective dynamics of interacting dynamical units on a network crucially depends on the properties of the network structure. Rather than considering large but finite graphs to capture the network, one often resorts to graph limits and the dynamics thereon. We elucidate the symmetry properties of dynamical systems on graph limits—including graphons and graphops—and analyze how the symmetry shapes the dynamics, for example through invariant subspaces. In addition to traditional symmetries, dynamics on graph limits can support generalized noninvertible symmetries. Moreover, as asymmetric networks can have symmetric limits, we note that one can expect to see ghosts of symmetries in the dynamics of large but finite asymmetric networks.

A new type of random attractors is introduced to study dynamics of a stochastic modified Swift–Hohenberg equation with a general delay. A compact, pullback attracting and dividedly invariant set is called a backward attractor, while the criteria for its existence are established in terms of increasing dissipation and backward asymptotic compactness of a cocycle. If the delay term in the equation is Lipschitz continuous such that the Lipschitz bound and the external force are backward limitable, then we prove the existence of a backward attractor, which further leads to the longtime stability as well as the existence of a pullback attractor, where the pullback attractor and the backward attractor are shown to be random and dividedly random, respectively. Two examples of the delay term are provided to illustrate variable and distributed delays without restricting the upper bound of Lipschitz bounds.

The long time behavior of Wong–Zakai approximations of 2D as well as 3D non-autonomous stochastic convective Brinkman–Forchheimer (CBF) equations with non-linear diffusion terms on some bounded and unbounded domains is discussed in this work. To establish the existence of pullback random attractors, the concept of asymptotic compactness (AC) is used. In bounded domains, AC is proved via compact Sobolev embeddings. In unbounded domains, due to the lack of compact embeddings, the ideas of energy equations and uniform tail-estimates are exploited to prove AC. In the literature, CBF equations are also known as Navier–Stokes equations (NSE) with damping, and it is interesting to see that the modification in NSE by linear and nonlinear damping provides better results than that available for NSE in 2D and 3D. The presence of linear damping term helps to establish the results in the whole space (mathbb {R}^d). The nonlinear damping term supports to obtain the results in 3D and to cover a large class of nonlinear diffusion terms also. In addition, we prove the existence of a unique pullback random attractor for stochastic CBF equations driven by additive white noise. Finally, for additive as well as multiplicative white noise cases, we establish the convergence of solutions and upper semicontinuity of pullback random attractors for Wong–Zakai approximations of stochastic CBF equations towards the pullback random attractors for stochastic CBF equations when the correlation time of colored noise converges to zero.

This work explores a synchronization-like phenomenon induced by common noise for continuous-time Markov jump processes given by chemical reaction networks. Based on Gillespie’s stochastic simulation algorithm, a corresponding random dynamical system is formulated in a two-step procedure, at first for the states of the embedded discrete-time Markov chain and then for the augmented Markov chain including random jump times. We uncover a time-shifted synchronization in the sense that—after some initial waiting time—one trajectory exactly replicates another one with a certain time delay. Whether or not such a synchronization behavior occurs depends on the combination of the initial states. We prove this partial time-shifted synchronization for the special setting of a birth-death process by analyzing the corresponding two-point motion of the embedded Markov chain and determine the structure of the associated random attractor. In this context, we also provide general results on existence and form of random attractors for discrete-time, discrete-space random dynamical systems.

Abstract

Let N be an n-dimensional compact riemannian manifold, with (nge 2) . In this paper, we prove that for any (alpha in [0,n]) , the set consisting of homeomorphisms on N with lower and upper metric mean dimensions equal to (alpha ) is dense in (text {Hom}(N)) . More generally, given (alpha ,beta in [0,n]) , with (alpha le beta ) , we show the set consisting of homeomorphisms on N with lower metric mean dimension equal to (alpha ) and upper metric mean dimension equal to (beta ) is dense in (text {Hom}(N)) . Furthermore, we also give a proof that the set of homeomorphisms with upper metric mean dimension equal to n is residual in (text {Hom}(N)) .

The principle of linearized stability and instability is established for a classical model describing the spatial movement of an age-structured population with nonlinear vital rates. It is shown that the real parts of the eigenvalues of the corresponding linearization at an equilibrium determine the latter’s stability or instability. The key ingredient of the proof is the eventual compactness of the semigroup associated with the linearized problem, which is derived by a perturbation argument. The results are illustrated with examples.

We are concerned with the global well-posedness to the compressible Oldroyd-B model without a damping term in the stress tensor equation. By exploiting the intrinsic structure of the equations and introducing several new quantities for the density, the velocity and the divergence of the stress tensor, we overcome the difficulty of the lack of dissipation for the density and the stress tensor, and construct unique global solutions to this system with initial data in critical Besov spaces. As a byproduct, we obtain the optimal time decay rates of the solutions by using the pure energy argument. A similar result can be also proved for the compressible viscoelastic system without “div–curl" structure.