The narrow capture problem with partially absorbing targets and stochastic resetting
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Published version
Author(s)
Bressloff, Paul C
Schumm, Ryan D
Type
Journal Article
Abstract
We consider a particle undergoing diffusion with stochastic resetting in a bounded
domain U ⊂ Rd for d = 2, 3. The domain is perforated by a set of partially absorbing spherical targets
within which the particle may be absorbed at a rate κ. Each target is assumed to be much smaller
than |U|, which allows us to use asymptotic and Green’s function methods to solve the diffusion
equation in Laplace space. In particular, we construct an inner solution within the interior and local
exterior of each target and match it with an outer solution in the bulk of U. This yields an asymptotic
expansion of the Laplace transformed flux into each target in powers of ν = −1/ ln (d = 2) and
(d = 3), respectively, where is the nondimensionalized target size. The fluxes determine how the
mean first passage time (MFPT) to absorption depends on the reaction rate κ and the resetting rate
r. For a range of parameter values, the MFPT is a unimodal function of r, with a minimum at an
optimal resetting rate ropt that depends on κ and the target configuration.
domain U ⊂ Rd for d = 2, 3. The domain is perforated by a set of partially absorbing spherical targets
within which the particle may be absorbed at a rate κ. Each target is assumed to be much smaller
than |U|, which allows us to use asymptotic and Green’s function methods to solve the diffusion
equation in Laplace space. In particular, we construct an inner solution within the interior and local
exterior of each target and match it with an outer solution in the bulk of U. This yields an asymptotic
expansion of the Laplace transformed flux into each target in powers of ν = −1/ ln (d = 2) and
(d = 3), respectively, where is the nondimensionalized target size. The fluxes determine how the
mean first passage time (MFPT) to absorption depends on the reaction rate κ and the resetting rate
r. For a range of parameter values, the MFPT is a unimodal function of r, with a minimum at an
optimal resetting rate ropt that depends on κ and the target configuration.
Date Issued
2022-06-30
Date Acceptance
2022-03-23
Citation
SIAM: Multiscale Modeling and Simulation, 2022, 20 (2), pp.857-881
ISSN
1540-3459
Publisher
Society for Industrial and Applied Mathematics
Start Page
857
End Page
881
Journal / Book Title
SIAM: Multiscale Modeling and Simulation
Volume
20
Issue
2
Copyright Statement
© 2022 Society for Industrial and Applied Mathematics
Identifier
http://dx.doi.org/10.1137/21m1449580
Publication Status
Published
Date Publish Online
2022-06-30