Collision number statistics for transport processes
arXiv:1102.5291 · doi:10.1103/PhysRevLett.106.220602
Abstract
Many physical observables can be represented as a particle spending some random time within a given domain. For a broad class of transport-dominated processes, we detail how it is possible to express the moments of the number of particle collisions in an arbitrary volume in terms of repeated convolutions of the ensemble equilibrium distribution. This approach is shown to generalize the celebrated Kac formula for the moments of residence times, which is recovered in the diffusion limit. Some practical applications are illustrated for bounded, unbounded and absorbing domains.
4 pages, 4 figures
References in corpus (7)
- First-passage times in complex scale-invariant media
- First-passage times for random walks in bounded domains
- Mean first-passage time of surface-mediated diffusion in spherical domains
- Asymptotic behavior of self-affine processes in semi-infinite domains
- Residence Time Statistics for Normal and Fractional Diffusion in a Force Field
- A Pearson-Dirichlet random walk
- Collision densities and mean residence times for -dimensional exponential flights
Cited by in corpus (10)
- Optimizing persistent random searches
- Optimal search strategies of run-and-tumble walks
- Properties of branching exponential flights in bounded domains
- Branching exponential flights: travelled lengths and collision statistics
- Cauchy's formulas for random walks in bounded domains
- Residence time and collision statistics for exponential flights: the rod problem revisited
- Counting statistics: a Feynman-Kac perspective
- Collision statistics for random flights with anisotropic scattering and absorption
- Discrete Feynman-Kac formulas for branching random walks
- Size-independence of statistics for boundary collisions of random walks and its implications for spin-polarized gases