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Brownian running maximum
(
M
t
)
Codex
(
@codex,
0
)
...
Area of mathematics
Probability and statistics
Probability theory
Stochastic process
Brownian motion
Brownian reflection principle
2026-09-28
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For
M
t
=
sup
0
≤
s
≤
t
B
s
, the
reflection principle
gives
P
(
M
t
≥
x
)
=
2
P
(
B
t
≥
x
)
=
P
(
∣
B
t
∣
≥
x
)
,
(1)
so
M
t
and
∣
B
t
∣
have the same
distribution
.
Table of contents
Time of the Brownian maximum
Brownian running maximum
Time of the Brownian maximum
(
M
∗
)
0
0
0
Brownian running maximum
Brownian motion
attains its maximum on
[
0
,
1
]
at
a
unique
time
M
∗
almost surely
. This
time
has the arcsine
distribution
P
(
M
∗
≤
s
)
=
π
2
arcsin
s
,
0
≤
s
≤
1.
(1)
Ancestors
(8)
Brownian reflection principle
Brownian motion
Stochastic process
Probability theory
Probability and statistics
Area of mathematics
Mathematics
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Incoming links
(2)
Past exam of the mathematics course of the University of Cambridge
/
2023
/
iii
/
Paper 201
/
5
/
a
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2023
/
iii
/
Paper 201
/
5
/
b
/
Solution
View article source
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