Results 171 to 180 of about 4,324 (212)

Deterministic, stochastic, and mean-field PDE models in neuroscience. [PDF]

open access: yesFront Comput Neurosci
Çetin C   +5 more
europepmc   +1 more source

Chapman-Kolmogorov test for estimating memory length of two coupled processes. [PDF]

open access: yesSci Rep
Motahari H   +3 more
europepmc   +1 more source

Solution of the generalized Langevin equation

Journal of Chemical Physics, 1985
The generalized Langevin equation is solved numerically by replacing the driving forces by stochastic, Gaussian distributed forces with a Gaussian time correlation. The calculated Brownian trajectories are compared with the corresponding classical mechanical and Monte Carlo trajectories and found to exhibit fractal properties with a dimension equal to ...
exaly   +2 more sources

Generalized Langevin equation with tempered memory kernel

open access: yesPhysica A: Statistical Mechanics and Its Applications, 2017
We study a generalized Langevin equation for a free particle in presence of a truncated power-law and Mittag-Leffler memory kernel. It is shown that in presence of truncation, the particle from subdiffusive behavior in the short time limit, turns to ...
André Liemert   +2 more
exaly   +2 more sources

Generalized Langevin equation for an oscillator

Physical Review B, 1986
A central oscillator coupled to a bath of harmonic oscillators with a two-dimensional Debye spectrum is set up as a model for the dynamics of strongly coupled linear systems. The bath oscillators are eliminated from the central oscillator's equation of motion, other than for initial conditions. The resulting Langevin equation is solved analytically for
, Kemeny, , Mahanti, , Kaplan
openaire   +2 more sources

Generalized Langevin Equations

The Journal of Chemical Physics, 1971
A derivation is presented for a generalized Langevin equation of motion for a dynamical variable φ(R(t), P(t)) where R and P are the position and momentum of a single heavy particle in a bath of light particles. A detailed analysis is given for the conditions required for the validity of the equation.
J. Albers, J. M. Deutch, Irwin Oppenheim
openaire   +1 more source

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