Green Function for an Asymptotically Stable Random Walk in a Half Space
We consider an asymptotically stable multidimensional random walk S ( n ) = ( S 1 ( n ) , … , S d ( n ) ) . For every vector x = ( x 1 … , x d ) with x 1 ≥ 0 , let τ x : = min { n > 0 : x 1 + S 1 ( n ) ≤ 0 } be the first time the random walk x + S ( n ) leaves the upper half space. We obtain the...
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Published in | Journal of theoretical probability Vol. 37; no. 2; pp. 1745 - 1786 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.06.2024
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | We consider an asymptotically stable multidimensional random walk
S
(
n
)
=
(
S
1
(
n
)
,
…
,
S
d
(
n
)
)
. For every vector
x
=
(
x
1
…
,
x
d
)
with
x
1
≥
0
, let
τ
x
:
=
min
{
n
>
0
:
x
1
+
S
1
(
n
)
≤
0
}
be the first time the random walk
x
+
S
(
n
)
leaves the upper half space. We obtain the asymptotics of
p
n
(
x
,
y
)
:
=
P
(
x
+
S
(
n
)
∈
y
+
Δ
,
τ
x
>
n
)
as
n
tends to infinity, where
Δ
is a fixed cube. From that, we obtain the local asymptotics for the Green function
G
(
x
,
y
)
:
=
∑
n
p
n
(
x
,
y
)
, as
|
y
|
and/or
|
x
|
tend to infinity. |
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ISSN: | 0894-9840 1572-9230 |
DOI: | 10.1007/s10959-023-01283-4 |