Additive Noise-Induced System Evolution (ANISE) - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Frontiers in Applied Mathematics and Statistics Year : 2022

Additive Noise-Induced System Evolution (ANISE)

Axel Hutt


Additive noise has been known for a long time to not change a systems stability. The discovery of stochastic and coherence resonance in nature and their analytical description has started to change this view in the last decades. The detailed studies of stochastic bifurcations in the last decades have also contributed to change the original view on the role of additive noise. The present work attempts to put these pieces of work in a broader context by proposing the research direction ANISE as a perspective in the research field. ANISE may embrace all studies that demonstrates how additive noise tunes a systems evolution beyond just scaling its magnitude. The article provides two perspective directions of research. The first perspective is the generalization of previous studies on the stationary state stability of a stochastic random network model subjected to additive noise. Here the noise induces novel stationary states. A second perspective is the application of subgrid-scale modeling in stochastic random network model. It is illustrated how numerical parameter estimation complements and extends subgrid-scale modeling and render it more powerful.
Fichier principal
Vignette du fichier
manuscript_revision_2nd.pdf (916.7 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Licence : CC BY - Attribution

Dates and versions

hal-03624282 , version 1 (30-03-2022)





Axel Hutt. Additive Noise-Induced System Evolution (ANISE). Frontiers in Applied Mathematics and Statistics, 2022, 8, pp.879866. ⟨10.3389/fams.2022.879866⟩. ⟨hal-03624282⟩
41 View
47 Download



Gmail Facebook X LinkedIn More