SearcharxivSearch

arXiv subjects

Cinzia Elia

Publications and source records attributed to Cinzia Elia.

5 recordsLinked to original sources

On the Optimal Laplacian Jordan Structure for Synchronizability

In this work, for a network of differential equations with a prescribed graph structure, our goal is to show how to select the Laplacian of the network in order to obtain the most favorable outcome insofar as synchronizability. That is, we will want to: (i) guarantee asymptotic stability of a synchronous solution (as measured by a negative value of the master stability function), (ii) minimize the normalized spread of the Laplacian eigenvalues, and (iii) have a transient as short as possible. Within the class of tridiagonal Laplacians, we give both necessary and sufficient conditions for satisfying our three criteria above, and give extension to banded Laplacians as well. Finally, we give extensive numerical results to elucidate our theoretical results and to compare to existing works.

math.OC

On an inverse tridiagonal eigenvalue problem and its application to synchronization of network motion

In this work, motivated by the study of stability of the synchronous orbit of a network with tridiagonal Laplacian matrix, we first solve an inverse eigenvalue problem which builds a tridiagonal Laplacian matrix with eigenvalues $λ_1=0<λ_2<\cdots <λ_N$ and null-vector $\boldsymbol{e} = \begin{bmatrix} 1 \\ \vdots \\ 1 \end{bmatrix}$. Then, we show how this result can be used to guarantee -- if possible -- that a synchronous orbit of a connected tridiagonal network associated to the matrix $L$ above is asymptotically stable, in the sense of having an associated negative Master Stability Function (MSF). We further show that there are limitations when we also impose symmetry for $L$.

math.DS

Global bifurcation diagrams for coercive third-degree polynomial ordinary differential equations with recurrent nonautonomous coefficients

Nonautonomous bifurcation theory is a growing branch of mathematics, for the insight it provides into radical changes in the global dynamics of realistic models for many real-world phenomena, i.e., into the occurrence of critical transitions. This paper describes several global bifurcation diagrams for nonautonomous first order scalar ordinary differential equations generated by coercive third degree polynomials in the state variable. The conclusions are applied to a population dynamics model subject to an Allee effect that is weak in the absence of migration and becomes strong under a migratory phenomenon whose sense and intensity depend on a threshold in the number of individuals in the population.

math.DS

Existence of global attractor for a nonautonomous state-dependent delay differential equation of neuronal type

The analysis of the long-term behavior of the mathematical model of a neural network constitutes a suitable framework to develop new tools for the dynamical description of nonautonomous state-dependent delay equations (SDDEs). The concept of global attractor is given, and some results which establish properties ensuring its existence and providing a description of its shape, are proved. Conditions for the exponential stability of the global attractor are also studied. Some properties of comparison of solutions constitute a key in the proof of the main results, introducing methods of monotonicity in the dynamical analysis of nonautonomous SDDEs. Numerical simulations of some illustrative models show the applicability of the theory.

math.DS

Piecewise smooth systems near a co-dimension 2 discontinuity manifold: can one say what should happen?

We consider a piecewise smooth system in the neighborhood of a co-dimension 2 discontinuity manifold $Σ$. Within the class of Filippov solutions, if $Σ$ is attractive, one should expect solution trajectories to slide on $Σ$. It is well known, however, that the classical Filippov convexification methodology is ambiguous on $Σ$. The situation is further complicated by the possibility that, regardless of how sliding on $Σ$ is taking place, during sliding motion a trajectory encounters so-called generic first order exit points, where $Σ$ ceases to be attractive. In this work, we attempt to understand what behavior one should expect of a solution trajectory near $Σ$ when $Σ$ is attractive, what to expect when $Σ$ ceases to be attractive (at least, at generic exit points), and finally we also contrast and compare the behavior of some regularizations proposed in the literature. Through analysis and experiments we will confirm some known facts, and provide some important insight: (i) when $Σ$ is attractive, a solution trajectory indeed does remain near $Σ$, viz. sliding on $Σ$ is an appropriate idealization (of course, in general, one cannot predict which sliding vector field should be selected); (ii) when $Σ$ loses attractivity (at first order exit conditions), a typical solution trajectory leaves a neighborhood of $Σ$; (iii) there is no obvious way to regularize the system so that the regularized trajectory will remain near $Σ$ as long as $Σ$ is attractive, and so that it will be leaving (a neighborhood of) $Σ$ when $Σ$ looses attractivity. We reach the above conclusions by considering exclusively the given piecewise smooth system, without superimposing any assumption on what kind of dynamics near $Σ$ (or sliding motion on $Σ$) should have been taking place.

math.DS