Self-stabilizing processes in multi-wells landscape in R - Convergence∗

نویسنده

  • Julian Tugaut
چکیده

Self-stabilizing processes are non-markovian diffusions. The own law of the process intervenes in the drift. When the non-interacting part of the drift corresponds to the gradient of a convex potential, it has been proved in some different ways that such processes converge when the time goes to infinity. However, in a previous paper, it has been proved that there is non-uniqueness of the stationary measures. The aim of this paper is to study the long-time behaviour of the self-stabilizing processes even if the set of stationary measures is not finite.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Self-stabilizing processes in multi-wells landscape in R - Invariant probabilities∗

The aim of this work is to analyse the stationary measures for a particular class of non-markovian diffusions: the self-stabilizing processes. All the trajectories of such a process attract each other. This permits to exhibit a non-uniqueness of the stationary measures in the one-dimensional case, see [HT10a]. In this paper, the extension to general multi-wells lansdcape in general dimension is...

متن کامل

Convergence to the Equilibria for Self - Stabilizing Processes in Double - Well Landscape

We investigate the convergence of McKean-Vlasov diffusions in a non-convex landscape. These processes are linked to nonlinear partial differential equation. According to our previous results, there are at least three stationary measures under simple assumptions. Hence, the convergence problem is not classical like in the convex case. By using the method in [Benedetto, Caglioti, Carrillo, Pulvir...

متن کامل

Self-stabilizing processes: uniqueness problem for stationary measures and convergence rate in the small noise limit

In the context of self-stabilizing processes, that is processes attracted by their own law, living in a potential landscape, we investigate different properties of the invariant measures. The interaction between the process and its law leads to nonlinear stochastic differential equations. In [7], the authors proved that, for linear interaction and under suitable conditions, there exists a uniqu...

متن کامل

Evaluation and Prioritization of Criteria Affecting the Selection of Landscape Species, Using Multi-Criteria Decision-Making Systems

It is impractical to implement conservation efforts for all species due to complexity of natural systems, large scale of biodiversity issues, and budget limitations. Prioritizing species of conservation importance can alleviate this issue. Multiple interrelated criteria may be used for conservation prioritization of species. Therefore, the accurate evaluation of criteria is a multi-criteria dec...

متن کامل

On the Expected Time for Herman's Probabilistic Self-stabilizing Algorithm

In this article we investigate the expected time for Herman’s probabilistic self-stabilizing algorithm in distributed systems: suppose that the number of identical processes in a unidirectional ring, say n, is odd and n 3. If the initial configuration of the ring is not “legitimate”, that is, the number of tokens differs from one, then execution of the algorithm made up of synchronous probabili...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011