Math @ Duke
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Publications [#361650] of Alexander A. Kiselev
Papers Published
- Gong, Y; He, S; Kiselev, A, Random search in fluid flow aided by chemotaxis
(July, 2021)
(last updated on 2025/01/30)
Abstract: In this paper, we consider the dynamics of a 2D target-searching agent
performing Brownian motion under the influence of fluid shear flow and chemical
attraction. The analysis is motivated by numerous situations in biology where
these effects are present, such as broadcast spawning of marine animals and
other reproduction processes or workings of the immune systems. We rigorously
characterize the limit of the expected hit time in the large flow amplitude
limit as corresponding to the effective one-dimensional problem. We also
perform numerical computations to characterize the finer properties of the
expected duration of the search. The numerical experiments show many
interesting features of the process, and in particular existence of the optimal
value of the shear flow that minimizes the expected target hit time and
outperforms the large flow limit.
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