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Extremal statistics of a one-dimensional run and tumble particle with an absorbing wall
We study the extreme value statistics of a run and tumble particle (RTP) in one dimension till its first passage to the origin starting from the position x 0 ( > 0 ) . This model has recently drawn a lot of interest due to its biological application in modelling the motion of certain species of...
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Published in: | Journal of physics. A, Mathematical and theoretical Mathematical and theoretical, 2022-11, Vol.55 (46), p.465004 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We study the extreme value statistics of a run and tumble particle (RTP) in one dimension till its first passage to the origin starting from the position
x
0
(
>
0
)
. This model has recently drawn a lot of interest due to its biological application in modelling the motion of certain species of bacteria. Herein, we analytically study the exact time-dependent propagators for a single RTP in a finite interval with absorbing conditions at its two ends. By exploiting a path decomposition technique, we use these propagators appropriately to compute the joint distribution
of the maximum displacement
M
till first-passage and the time
t
m
at which this maximum is achieved exactly. The corresponding marginal distributions
P
M
(
M
)
and
P
M
(
t
m
)
are studied separately and verified numerically. In particular, we find that the marginal distribution
P
M
(
t
m
)
has interesting asymptotic forms for large and small
t
m
. While for small
t
m
, the distribution
P
M
(
t
m
)
depends sensitively on the initial velocity direction
σ
i
and is completely different from the Brownian motion, the large
t
m
decay of
P
M
(
t
m
)
is same as that of the Brownian motion although the amplitude crucially depends on the initial conditions
x
0
and
σ
i
. We verify all our analytical results to high precision by numerical simulations. |
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ISSN: | 1751-8113 1751-8121 |
DOI: | 10.1088/1751-8121/aca230 |