Propagation failure in discrete periodic media

We study the periodic lattice dynamical systems with bistable nonlinearity. We use Moser's theorem to show that there exist infinitely many stationary solutions when one of the migration coefficients is sufficiently small. Moreover, we prove that the propagation failure occurs when both migration coefficients are sufficiently small.     

Cooperative dynamics in neuronal networks

There exist rich cooperative behaviors and their transitions in biological neuronal systems as some key biological factors are changed. Among all of cooperative behaviors of neuronal systems, the existing experiments have shown that the spatiotemporal pattern and synchronization dynamics are very crucial, which are closely related to normal function and dysfunction of neuronal systems. Based on different neuron models, the recent works have been made to explore the mechanisms of pattern formation and synchronization transition. This paper mainly overviews the recent studies of the cooperative dynamics including the pattern formation and synchronization transition in biological neuronal networks. Firstly, we review complicated spatiotemporal pattern dynamics of neuronal networks. Secondly, the interesting synchronization transition is reviewed. Finally, conclusion is given and we put forward some outlooks of research on the cooperative behaviors in real neuronal networks.     

Reversible dynamics in discrete dissipative systems

The random walk model of Brownian motion is an example of a stochastic system which exhibits intrinsically irreversible behaviour. In spite of this, a simple discrete version of the model has been shown to harbour dynamics which are reversible and are described by a discrete form of Schrödinger's equation. The reversible dynamics appear as second order effects in this diffusive model, and the usual relationship between macroscopic irreversibility and microscopic reversibility is itself reversed. This will be discussed in the context of the `Brussels' school' on irreversibility.     

The dynamics of slender bodies in dense media under conditions of the local interaction model

Using a model of local interactions an asymptotic theory is constructed for the plane motion of a slender sharpened body of revolution when it is fully immersed in a dense medium and there is no flow separation at the lateral surface. Assuming that at the initial instant of time the dynamic component of the normal stress is much greater than the tensile strength, the domain of variation of the governing, parameters corresponding to asymptotically stable types of motion is found for translational motion of a body at zero angle of attack.     

Propagation failure of fronts in discrete inhomogeneous media with a sawtooth nonlinearity

Exact, steady-state, single-front solutions are constructed for a spatially discrete bistable equation with a piecewise linear reaction term, known as a sawtooth nonlinearity. These solutions are obtained by solving second-order difference equations with variable coefficients, which are linear under certain assumptions on the expected solutions. An algorithmic procedure for constructing solutions in general, for both homogeneous and inhomogeneous diffusion, is obtained using a combination of Jacobi-Operator theory and the Sherman–Morrison formula. The existence of solutions for the difference equation, implies propagation failure of fronts for the corresponding differential-difference equation. The interval of propagation failure, which is the range of values of the detuning parameter that render stationary fronts, is studied in detail for the case of a single defect in the medium of propagation. Explicit formulae reveal precise relationships between parameter values that cause traveling fronts to fail to propagate when the interface reaches the inhomogeneities in the medium. These explicit formulae are also compared to numerical computations using the proposed algorithmic approach, which provides a check of its computational usefulness and illustrates its capabilities for problems with more complicated choices of parameter values.     

Global dynamics of a general brucellosis model with discrete delay

For the prevention and control of brucellosis, it is important to investigate the mechanism of brucellosis transmission. Based on the characteristics of the spread of brucellosis, a susceptible-exposed-infectious-brucella (SEIB) delay dynamic model is proposed with the general incidence, elimination rate and shedding rate of pathogen. Under biologically motivated assumptions, it shows the uniqueness of the endemic equilibrium, and investigates the global asymptotically stability of the disease-free equilibrium and the endemic equilibrium. The results suggest that the global stability of equilibria depends entirely on the basic reproduction number $R_0$ and time delay is harmless for the stability of equilibria. Finally, some specific examples and numerical simulations are used to illustrate the utilization of research results and reveal the biological significance of hypothesis $(H_7)$, which implies that the dynamics of brucellosis transmission depend largely on the development of the prevention and control strategies.     

Controlling predator-prey discrete dynamics utilizing a threshold policy with hysteresis

This paper introduces a threshold policy with hysteresis (TPH) for the control of the logistic one-species model, the Lotka-Volterra and Rosenzweig-MacArthur two species density-dependent predator-prey models. A nonstandard scheme is used for the discretization of the models since it results in preservation of the qualitative characteristics of the continuous-time models. Two theorems that establish the global stability of the discrete logistic model subject to the threshold policy (TP) and the TPH are proved. The proposed policy (TPH) is more realistic than a pure threshold policy (TP) proposed earlier in the literature and changes the dynamics of the system in such a way that a low amplitude bounded oscillation, far from the extinction region, is achieved. Furthermore, it can be designed by a suitable choice of so called virtual equilibrium points in a simple and intuitive manner.     

Exclusionary population dynamics in size-structured,discrete competitive systems

A discrete multi-species size-structured competition model is considered. By using decreasing growth functions, we achieve the self-regulation of species. We develop various biologically significant conditions for global convergence to the extinction state of the dominated species in the competitive system. With an example we illustrate coexistence in a chaotic supr transient. The chaotic attractor has an unusual pulsating nature.     

On closed invariant sets in local dynamics

We investigate the dynamical behaviour of a holomorphic map on an f-invariant subset C of U, where . We study two cases: when U is an open, connected and polynomially convex subset of Ck and C?U, closed in U, and when ∂U has a p.s.h. barrier at each of its points and C is not relatively compact in U. In the second part of the paper, we prove a Birkhoff's type theorem for holomorphic maps in several complex variables, i.e. given an injective holomorphic map f, defined in a neighborhood of , with U star-shaped and f(U) a Runge domain, we prove the existence of a unique, forward invariant, maximal, compact and connected subset of which touches ∂U.     

The onset of turbulence in discrete relative multiple spatial dynamics

The paper presents certain new results from discrete relative dynamics in bifurcation theory. These results are found in two- and three-location, one-stock interactive dynamics. They include the following: (i) the discrete-relative-dynamics analogue to the Hopf bifurcation of the continuous-dynamics case; (ii) the demonstration of “local, partial turbulence” in discrete relative dynamics; (iii) the presence of “strange containers,” equivalent to these labeled “strange attractors” in the current literature on continuous (fixed-point) processes. Result (i) is obtained and discussed in the context of a two-location, one-stock interactions; results (ii) and (iii) are presented within the framework of the three-location, one-stock discrete relative dynamic interactions. Some analytical and numerical solutions and their connections with experimental mathematics (involving numerical computations) are elaborated upon. The remaining analytical proofs and modifications to the reported results are left to the interested mathematician. Mainly, the objective here is to report these new findings.     

A copula-based model of speculative price dynamics in discrete time

This paper suggests a new technique to construct first order Markov processes using products of copula functions, in the spirit of Darsow et al. (1992) [10]. The approach requires the definition of (i) a sequence of distribution functions of the increments of the process, and (ii) a sequence of copula functions representing dependence between each increment of the process and the corresponding level of the process before the increment. The paper shows how to use the approach to build several kinds of processes (stable, elliptical, Farlie-Gumbel-Morgenstern, Archimedean and martingale processes), and how to extend the analysis to the multivariate setting. The technique turns out to be well suited to provide a discrete time representation of the dynamics of innovations to financial prices under the restrictions imposed by the Efficient Market Hypothesis.     

Period-doubling in discrete relative spatial dynamics and the Feigenbaum sequence

It is shown in this paper that although the period-doubling Feigenbaum sequence and the associated universal numbers in discrete maps of the logistic type hold over parameters, their true nature have them holding over slopes of the corresponding Poincaré maps. This finding enables one to find these Feigenbaum slope sequences in more complex maps. Further, it is demonstrated by an example in discrete relative growth spatial dynamics that a Feigenbaum sequence does not hold over the bifurcation parameter.     

Manipulating objects by discrete excitable media coupled with contact-less actuator array: Open-loop case

A two-dimensional cellular automaton (CA) model of an excitable medium is coupled with an array of micro-actuators in the form of abstract air-jets. Each cell of the CA is linked to a unique air-jet. A cell state determines the orientation and intensity of the airflow generated by the air-jet corresponding to the cell. We explore the phenomenology of an open-loop configuration in which CA cells do not sense the presence of the object being moved. Excitation waves generated in the initial stimulation of the medium, travel on the lattice and cause waves of actuation in the air-jets, resulting in changing airflow patterns. Thus, the waves of actuation move and rotate the manipulated object. We study the manipulation of three convex shapes by excitable CA, and provide the classification of various types of object motion from straight to sinuous and oscillatory trajectories. The relation between the excitation dynamic and resulting trajectories of the object will be used in future designs of hardware prototypes of massive-parallel manipulators controlled by non-linear media.     

1-D Schrödinger operators with local point interactions on a discrete set

Spectral properties of 1-D Schrödinger operators with local point interactions on a discrete set are well studied when d_∗:=infn,k∈N|xn−xk|>0. Our paper is devoted to the case d_∗=0. We consider HX,α in the framework of extension theory of symmetric operators by applying the technique of boundary triplets and the corresponding Weyl functions.We show that the spectral properties of HX,α like self-adjointness, discreteness, and lower semiboundedness correlate with the corresponding spectral properties of certain classes of Jacobi matrices. Based on this connection, we obtain necessary and sufficient conditions for the operators HX,α to be self-adjoint, lower semibounded, and discrete in the case d_∗=0.The operators with δ^′-type interactions are investigated too. The obtained results demonstrate that in the case d_∗=0, as distinguished from the case d_∗>0, the spectral properties of the operators with δ- and δ^′-type interactions are substantially different.     

Endogenous fields enhanced stochastic resonance in a randomly coupled neuronal network

Endogenous field, evoked by structured neuronal network activity in vivo, is correlated with many vital neuronal processes. In this paper, the effects of endogenous fields on stochastic resonance (SR) in a randomly connected neuronal network are investigated. The network consists of excitatory and inhibitory neurons and the axonal conduction delays between neurons are also considered. Numerical results elucidate that endogenous field feedback results in more rhythmic macroscope activation of the network for proper time delay and feedback coefficient. The response of the network to the weak periodic stimulation can be notably enhanced by endogenous field feedback. Moreover, the endogenous field feedback delay plays a vital role in SR. We reveal that appropriately tuned delays of the feedback can either induce the enhancement of SR, appearing at every integer multiple of the weak input signal’s oscillation period, or the depression of SR, appearing at every integer multiple of half the weak input signal’s oscillation period for the same feedback coefficient. Interestingly, the parameters of low-passed filter which is used in obtaining the endogenous field feedback signal play a subtle role in SR.     

Spatial dependencies of wind power and interrelations with spot price dynamics

Wind power has seen strong growth over the last decade and increasingly affects electricity spot prices. In particular, prices are more volatile due to the stochastic nature of wind, such that more generation of wind energy yields lower prices. Therefore, it is important to assess the value of wind power at different locations not only for an investor but for the electricity system as a whole. In this paper, we develop a stochastic simulation model that captures the full spatial dependence structure of wind power by using copulas, incorporated into a supply and demand based model for the electricity spot price. This model is calibrated with German data. We find that the specific location of a turbine – i.e., its spatial dependence with respect to the aggregated wind power in the system – is of high relevance for its value. Many of the locations analyzed show an upper tail dependence that adversely impacts the market value. Therefore, a model that assumes a linear dependence structure would systematically overestimate the market value of wind power in many cases. This effect becomes more important for increasing levels of wind power penetration and may render the large-scale integration into markets more difficult.