Probabilistic characterization of nonlinear systems under \(\alpha\)-stable white noise via complex fractional moments
DOI10.1016/J.PHYSA.2014.10.091zbMath1398.60058OpenAlexW2024056282MaRDI QIDQ1783310
Mario Di Paola, Gioacchino Alotta
Publication date: 20 September 2018
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2014.10.091
nonlinear systemsfractional Fokker-Planck equation\(\alpha\)-stable white noisecomplex fractional moments
Processes with independent increments; Lévy processes (60G51) Fractional processes, including fractional Brownian motion (60G22) Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics (82C31)
Related Items (6)
Cites Work
- Unnamed Item
- An analytical-numerical method for fast evaluation of probability densities for transient solutions of nonlinear Itô's stochastic differential equations
- Itô calculus extended to systems driven by \(\alpha \)-stable Lévy white noises (a novel clip on the tails of Lévy motion)
- The stochastic finite element method: past, present and future
- Stochastic averaging: An approximate method of solving random vibration problems
- Stationary solutions of the fractional kinetic equation with a symmetric power-law potential
- The Fokker-Planck equation. Methods of solutions and applications.
- Characteristic function for the stationary state of a one-dimensional dynamical system with Lévy noise
- Statistics of nonlinear stochastic dynamical systems under Lévy noises by a convolution quadrature approach
- The fundamental solution of the space-time fractional diffusion equation
- The random walk's guide to anomalous diffusion: A fractional dynamics approach
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