Abstract
We introduce a discrete-time random walk model on a one-dimensional lattice with a nonconstant sojourn time and prove that the discrete density converges to a solution of a continuum diffusion equation. Our random walk model is not Markovian due to the heterogeneity in the sojourn time, unlike a random walk model with a nonconstant walk length. We derive a Markovian process by choosing appropriate subindexes of the time-space grid points and then show the convergence of its discrete density through the parabolic-scale limit. We also find Green’s function of the continuum diffusion equation and present three Monte Carlo simulations to validate the random walk model and the diffusion equation.
| Original language | English |
|---|---|
| Pages (from-to) | 355-382 |
| Number of pages | 28 |
| Journal | Journal of Dynamics and Differential Equations |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2026 |
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