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Symmetric cooperative motion in one dimension
- Publication Year :
- 2022
-
Abstract
- We explore the relationship between recursive distributional equations and convergence results for finite difference schemes of parabolic partial differential equations (PDEs). We focus on a family of random processes called symmetric cooperative motions, which generalize the symmetric simple random walk and the symmetric hipster random walk introduced in [Addario-Berry, Cairns, Devroye, Kerriou and Mitchell, arXiv:1909.07367]. We obtain a distributional convergence result for symmetric cooperative motions and, along the way, obtain a novel proof of the Bernoulli central limit theorem. In addition, we prove a PDE result relating distributional solutions and viscosity solutions of the porous medium equation and the parabolic $p$-Laplace equation, respectively, in one dimension.<br />Comment: 33 pages, 0 figures
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2204.03689
- Document Type :
- Working Paper