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Continuous mapping theorem
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Mathematics
Area of mathematics
Probability and statistics
Probability theory
Convergence of random variables
Convergence in distribution
Created
2026-09-24
Updated
2026-09-24
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If
X
n
d
X
and
a
measurable function
g
is continuous at
X
almost surely
, then
g
(
X
n
)
d
g
(
X
)
. The same
principle
holds for random elements of
metric spaces
.
Ancestors
(7)
Convergence in distribution
Convergence of random variables
Probability theory
Probability and statistics
Area of mathematics
Mathematics
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Past exam of the mathematics course of the University of Cambridge
/
2026
/
iii
/
Paper 201
/
4
/
d
/
ii
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2026
/
iii
/
Paper 201
/
4
/
d
/
i
/
Solution
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