
doi: 10.1007/bf02219225
handle: 11384/69090
Every scientist interested in the behavior of dynamical systems knows that this is one of the most important subjects of mathematical physics. It is also well-known that good results can be obtained by studying the global attractor of such a deterministic dynamical system. Even though there are a lot of papers devoted to this subject, the authors successfully succeed to offer an accurate and clear treatment of this problem. Their paper contains several graduated sections. The first of them, after an introduction, presents the authors' notion of an attractor in the case of a nonautonomous deterministic system. Based on this notion, the authors introduce the preliminary assumptions regarding stochastic dynamical systems and they develop the main result of the paper in the second part. The last of the sections is devoted to three applications: the Navier-Stokes equations perturbed by an additive noise, the white noise-driven Burgers equation and the random attractor for a nonlinear random wave equation.
nonautonomous deterministic system, Attractors and repellers of smooth dynamical systems and their topological structure, stochastic dynamical systems, global attractor
nonautonomous deterministic system, Attractors and repellers of smooth dynamical systems and their topological structure, stochastic dynamical systems, global attractor
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 619 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
