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Diffusion–Advection Equations on a Comb: Resetting and Random Search

Trifce Sandev, Viktor Domazetoski, Alexander Iomin and Ljupco Kocarev
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Trifce Sandev: Research Center for Computer Science and Information Technologies, Macedonian Academy of Sciences and Arts, Bul. Krste Misirkov 2, 1000 Skopje, Macedonia
Viktor Domazetoski: Research Center for Computer Science and Information Technologies, Macedonian Academy of Sciences and Arts, Bul. Krste Misirkov 2, 1000 Skopje, Macedonia
Alexander Iomin: Department of Physics, Technion, Haifa 32000, Israel
Ljupco Kocarev: Research Center for Computer Science and Information Technologies, Macedonian Academy of Sciences and Arts, Bul. Krste Misirkov 2, 1000 Skopje, Macedonia

Mathematics, 2021, vol. 9, issue 3, 1-24

Abstract: This review addresses issues of various drift–diffusion and inhomogeneous advection problems with and without resetting on comblike structures. Both a Brownian diffusion search with drift and an inhomogeneous advection search on the comb structures are analyzed. The analytical results are verified by numerical simulations in terms of coupled Langevin equations for the comb structure. The subordination approach is one of the main technical methods used here, and we demonstrated how it can be effective in the study of various random search problems with and without resetting.

Keywords: diffusion–advection equation; stochastic resetting; comb structure; random search; first arrival time density; efficiency (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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