Diffusion in a Weakly Random Hamiltonian Flow
Abstract
We consider the motion of a particle governed by a weakly random Hamiltonian flow. We identify temporal and spatial scales on which the particle trajectory converges to a spatial Brownian motion. The main technical issue in the proof is to obtain error estimates for the convergence of the solution of the stochastic acceleration problem to a momentum diffusion. We also apply our results to the system of random geometric acoustics equations and show that the energy density of the acoustic waves undergoes a spatial diffusion.
- Publication:
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Communications in Mathematical Physics
- Pub Date:
- April 2006
- DOI:
- arXiv:
- arXiv:math-ph/0505082
- Bibcode:
- 2006CMaPh.263..277K
- Keywords:
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- Neural Network;
- Energy Density;
- Complex System;
- Error Estimate;
- Spatial Scale;
- Mathematical Physics;
- Dynamical Systems