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A large deviation theorem for a supercritical super-Brownian motion with absorption
by
Zhu, Yaping
in
Brownian motion
/ Deviation
/ Markov analysis
/ Original Article
/ Partial differential equations
/ Probability distribution
/ Theorems
2023
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A large deviation theorem for a supercritical super-Brownian motion with absorption
by
Zhu, Yaping
in
Brownian motion
/ Deviation
/ Markov analysis
/ Original Article
/ Partial differential equations
/ Probability distribution
/ Theorems
2023
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A large deviation theorem for a supercritical super-Brownian motion with absorption
Journal Article
A large deviation theorem for a supercritical super-Brownian motion with absorption
2023
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Overview
We consider a one-dimensional superprocess with a supercritical local branching mechanism
$\\psi$
, where particles move as a Brownian motion with drift
$-\\rho$
and are killed when they reach the origin. It is known that the process survives with positive probability if and only if
$\\rho<\\sqrt{2\\alpha}$
, where
$\\alpha=-\\psi'(0)$
. When
$\\rho<\\sqrt{2 \\alpha}$
, Kyprianou et al. [18] proved that
$\\lim_{t\\to \\infty}R_t/t =\\sqrt{2\\alpha}-\\rho$
almost surely on the survival set, where
$R_t$
is the rightmost position of the support at time t. Motivated by this work, we investigate its large deviation, in other words, the convergence rate of
$\\mathbb{P}_{\\delta_x} (R_t >\\gamma t+\\theta)$
as
$t \\to \\infty$
, where
$\\gamma >\\sqrt{2 \\alpha} -\\rho$
,
$\\theta \\ge 0$
. As a by-product, a related Yaglom-type conditional limit theorem is obtained. Analogous results for branching Brownian motion can be found in Harris et al. [13].
Publisher
Cambridge University Press
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