✦ LIBER ✦

Moments of the distributio function and kinetic equation for stochastic motion of a nonlinear oscillator

✍ Scribed by V. V. Sokolov

Book ID: 112461676
Publisher: SP MAIK Nauka/Interperiodica
Year: 1984
Tongue: English
Weight: 609 KB
Volume: 59
Category: Article
ISSN: 0040-5779
DOI: 10.1007/bf01028518

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Integrals of the motion for a nonlinear

Integrals of the motion for a nonlinear quantum oscillator

✍ Vladimir I. Man'ko; Fritz Haake 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 377 KB

We construct and discusss explicitly time dependent integrals of the motion of non-autonornous quantum systems. Such integrals may exist even when the classical limit of the dynamics is nonintegrable.

Derivation and investigation of an avera

Derivation and investigation of an averaged quantum equation of motion for a nonlinear oscillator in the field of an harmonic force

✍ V. N. Sazonov 📂 Article 📅 1977 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 596 KB

Exact stationary solutions of the Fokker

Exact stationary solutions of the Fokker-Planck equation for nonlinear oscillators under stochastic parametric and external excitations

✍ Wang, Rubin; Zhang, Zhikang 📂 Article 📅 2000 🏛 Institute of Physics 🌐 English ⚖ 124 KB

Inequalities for the moments of stochast

Inequalities for the moments of stochastic integrals and stochastic Volterra equations driven a two-parameter wiener process

✍ Kolodii, N. A. 📂 Article 📅 2013 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 200 KB

Kinetic equations for the probability de

Kinetic equations for the probability densities of non-Markovian processes. Evolution of moment and cumulant functions

✍ V. A. Kazakov 📂 Article 📅 1987 🏛 Springer US 🌐 English ⚖ 757 KB

A dynamical system for the approximate m

A dynamical system for the approximate moments of nonlinear stochastic models of spiking neurons and networks

✍ R. Rodriguez; H.C. Tuckwell 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 460 KB

we consider multidimensional systems of coupled nonlinear stochastic differential equations suitable for the study of the dynamics of collections of interacting noisy spiking neurons. Assumptions based on the smallness of third and higher central order moments of membrane potentials and recovery var